SpeechBrain
0.5.7
Getting started:
Quick installation
Install via PyPI
Install locally
Test installation
Operating Systems
Anaconda and venv
Anaconda setup
venv setup
Test your GPU installation
Running an experiment
YAML basics
Running arguments
Tensor format
Basics of multi-GPU
Multi-GPU training using Data Parallel
Multi-GPU training using Distributed Data Parallel (DDP)
With multiple machines (suppose you have 2 servers with 2 GPUs):
Tutorials
Contributing
Zen of Speechbrain
How to get your code in SpeechBrain
Python
Version
Formatting
Adding dependencies
Testing
Documentation
Development tools
flake8
pre-commit
the git pre-commit hooks
the git pre-push hooks
pytest doctests
Continuous integration
What is CI?
CI / CD Pipelines
Our test suite
Pull Request review guide
API Documentation:
Core library (speechbrain)
speechbrain.core module
Summary
Reference
speechbrain.alignment
speechbrain.alignment.aligner module
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speechbrain.dataio
speechbrain.dataio.batch module
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speechbrain.dataio.dataio module
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speechbrain.dataio.dataloader module
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speechbrain.dataio.dataset module
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speechbrain.dataio.encoder module
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speechbrain.dataio.legacy module
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speechbrain.dataio.preprocess module
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speechbrain.dataio.sampler module
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speechbrain.dataio.wer module
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speechbrain.decoders
speechbrain.decoders.ctc module
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speechbrain.decoders.seq2seq module
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speechbrain.decoders.transducer module
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speechbrain.lm
speechbrain.lm.arpa module
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speechbrain.lm.counting module
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speechbrain.lm.ngram module
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speechbrain.lobes
speechbrain.lobes.augment module
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speechbrain.lobes.features module
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speechbrain.lobes.models
speechbrain.lobes.models.CRDNN module
speechbrain.lobes.models.ContextNet module
speechbrain.lobes.models.ECAPA_TDNN module
speechbrain.lobes.models.ESPnetVGG module
speechbrain.lobes.models.MetricGAN module
speechbrain.lobes.models.RNNLM module
speechbrain.lobes.models.VanillaNN module
speechbrain.lobes.models.Xvector module
speechbrain.lobes.models.conv_tasnet module
speechbrain.lobes.models.convolution module
speechbrain.lobes.models.dual_path module
speechbrain.lobes.models.fairseq_wav2vec module
speechbrain.lobes.models.huggingface_wav2vec module
speechbrain.lobes.models.transformer
speechbrain.nnet
speechbrain.nnet.CNN module
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speechbrain.nnet.RNN module
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speechbrain.nnet.activations module
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speechbrain.nnet.attention module
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speechbrain.nnet.containers module
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speechbrain.nnet.dropout module
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speechbrain.nnet.embedding module
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speechbrain.nnet.linear module
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speechbrain.nnet.losses module
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speechbrain.nnet.normalization module
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speechbrain.nnet.pooling module
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speechbrain.nnet.schedulers module
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speechbrain.nnet.complex_networks
speechbrain.nnet.complex_networks.c_CNN module
speechbrain.nnet.complex_networks.c_RNN module
speechbrain.nnet.complex_networks.c_linear module
speechbrain.nnet.complex_networks.c_normalization module
speechbrain.nnet.complex_networks.c_ops module
speechbrain.nnet.loss
speechbrain.nnet.loss.stoi_loss module
speechbrain.nnet.loss.transducer_loss module
speechbrain.nnet.quaternion_networks
speechbrain.nnet.quaternion_networks.q_CNN module
speechbrain.nnet.quaternion_networks.q_RNN module
speechbrain.nnet.quaternion_networks.q_linear module
speechbrain.nnet.quaternion_networks.q_normalization module
speechbrain.nnet.quaternion_networks.q_ops module
speechbrain.nnet.transducer
speechbrain.nnet.transducer.transducer_joint module
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speechbrain.pretrained
speechbrain.pretrained.fetching module
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speechbrain.pretrained.interfaces module
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speechbrain.processing
speechbrain.processing.NMF module
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speechbrain.processing.PLDA_LDA module
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speechbrain.processing.decomposition module
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speechbrain.processing.diarization module
speechbrain.processing.features module
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speechbrain.processing.multi_mic module
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speechbrain.processing.signal_processing module
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speechbrain.processing.speech_augmentation module
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speechbrain.tokenizers
speechbrain.tokenizers.SentencePiece module
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speechbrain.utils
speechbrain.utils.Accuracy module
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speechbrain.utils.DER module
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speechbrain.utils.callchains module
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speechbrain.utils.checkpoints module
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speechbrain.utils.data_pipeline module
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speechbrain.utils.data_utils module
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speechbrain.utils.depgraph module
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speechbrain.utils.distributed module
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speechbrain.utils.edit_distance module
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speechbrain.utils.epoch_loop module
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speechbrain.utils.logger module
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speechbrain.utils.metric_stats module
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speechbrain.utils.parameter_transfer module
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speechbrain.utils.superpowers module
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speechbrain.utils.torch_audio_backend module
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speechbrain.utils.train_logger module
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HyperPyYAML (hyperpyyaml)
hyperpyyaml.core module
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SpeechBrain
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__call__() (speechbrain.dataio.preprocess.AudioNormalizer method)
(speechbrain.nnet.schedulers.CyclicCosineScheduler method)
(speechbrain.nnet.schedulers.LinearScheduler method)
(speechbrain.nnet.schedulers.NewBobScheduler method)
(speechbrain.nnet.schedulers.NoamScheduler method)
(speechbrain.nnet.schedulers.ReduceLROnPlateau method)
(speechbrain.nnet.schedulers.StepScheduler method)
(speechbrain.tokenizers.SentencePiece.SentencePiece method)
(speechbrain.utils.callchains.LengthsCapableChain method)
__init__() (speechbrain.processing.PLDA_LDA.Ndx method)
(speechbrain.processing.PLDA_LDA.Scores method)
__iter__() (speechbrain.dataio.batch.PaddedBatch method)
A
accumulatable_wer_stats() (in module speechbrain.utils.edit_distance)
Accuracy() (in module speechbrain.utils.Accuracy)
AccuracyStats (class in speechbrain.utils.Accuracy)
AdaptivePool (class in speechbrain.nnet.pooling)
add_blank() (speechbrain.dataio.encoder.CTCTextEncoder method)
add_bos_eos() (speechbrain.dataio.encoder.TextEncoder method)
add_custom_hooks() (speechbrain.utils.parameter_transfer.Pretrainer method)
add_dynamic_item() (in module speechbrain.dataio.dataset)
(speechbrain.dataio.dataset.DynamicItemDataset method)
(speechbrain.utils.data_pipeline.DataPipeline method)
add_dynamic_items() (speechbrain.utils.data_pipeline.DataPipeline method)
add_edge() (speechbrain.utils.depgraph.DependencyGraph method)
add_label() (speechbrain.dataio.encoder.CategoricalEncoder method)
add_loadables() (speechbrain.utils.parameter_transfer.Pretrainer method)
add_node() (speechbrain.utils.depgraph.DependencyGraph method)
add_paths() (speechbrain.utils.parameter_transfer.Pretrainer method)
add_recoverable() (speechbrain.utils.checkpoints.Checkpointer method)
add_recoverables() (speechbrain.utils.checkpoints.Checkpointer method)
add_static_keys() (speechbrain.utils.data_pipeline.DataPipeline method)
add_unk() (speechbrain.dataio.encoder.CategoricalEncoder method)
AddBabble (class in speechbrain.processing.speech_augmentation)
AdditiveAngularMargin (class in speechbrain.nnet.losses)
AddNoise (class in speechbrain.processing.speech_augmentation)
AddReverb (class in speechbrain.processing.speech_augmentation)
affect_conv_init() (in module speechbrain.nnet.complex_networks.c_ops)
(in module speechbrain.nnet.quaternion_networks.q_ops)
affect_init() (in module speechbrain.nnet.complex_networks.c_ops)
(in module speechbrain.nnet.quaternion_networks.q_ops)
align_models() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
align_segments() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
alignment() (in module speechbrain.utils.edit_distance)
AngularMargin (class in speechbrain.nnet.losses)
append() (speechbrain.nnet.containers.ConnectBlocks method)
(speechbrain.nnet.containers.LengthsCapableSequential method)
(speechbrain.nnet.containers.ModuleList method)
(speechbrain.nnet.containers.Sequential method)
(speechbrain.utils.Accuracy.AccuracyStats method)
(speechbrain.utils.callchains.LengthsCapableChain method)
(speechbrain.utils.metric_stats.BinaryMetricStats method)
(speechbrain.utils.metric_stats.ErrorRateStats method)
(speechbrain.utils.metric_stats.MetricStats method)
append_eos_index() (speechbrain.dataio.encoder.TextEncoder method)
append_eos_label() (speechbrain.dataio.encoder.TextEncoder method)
append_eos_token() (in module speechbrain.dataio.dataio)
at_position() (speechbrain.dataio.batch.PaddedBatch method)
AttentionalRNNDecoder (class in speechbrain.nnet.RNN)
AttentiveStatisticsPooling (class in speechbrain.lobes.models.ECAPA_TDNN)
AudioNormalizer (class in speechbrain.dataio.preprocess)
average_checkpoints() (in module speechbrain.utils.checkpoints)
average_state_dicts() (in module speechbrain.utils.checkpoints)
B
BackoffNgramLM (class in speechbrain.lm.ngram)
backward() (speechbrain.nnet.quaternion_networks.q_ops.QuaternionLinearCustomBackward static method)
batch_filter_seq2seq_output() (in module speechbrain.decoders.seq2seq)
batch_log_matvecmul() (in module speechbrain.alignment.aligner)
batch_log_maxvecmul() (in module speechbrain.alignment.aligner)
batch_pad_right() (in module speechbrain.utils.data_utils)
batch_size (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
BatchNorm1d (class in speechbrain.lobes.models.ECAPA_TDNN)
(class in speechbrain.nnet.normalization)
BatchNorm2d (class in speechbrain.nnet.normalization)
bce_loss() (in module speechbrain.nnet.losses)
bias (speechbrain.lobes.models.dual_path.Decoder attribute)
BinaryMetricStats (class in speechbrain.utils.metric_stats)
blstm (speechbrain.lobes.models.MetricGAN.EnhancementGenerator attribute)
Brain (class in speechbrain.core)
C
c_norm() (in module speechbrain.nnet.complex_networks.c_normalization)
c_standardization() (in module speechbrain.nnet.complex_networks.c_normalization)
cal_si_snr() (in module speechbrain.nnet.losses)
calc_accuracy() (speechbrain.alignment.aligner.HMMAligner method)
CategoricalEncoder (class in speechbrain.dataio.encoder)
CBatchNorm (class in speechbrain.nnet.complex_networks.c_normalization)
CConv1d (class in speechbrain.nnet.complex_networks.c_CNN)
CConv2d (class in speechbrain.nnet.complex_networks.c_CNN)
ce_kd() (in module speechbrain.nnet.losses)
center_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
ChannelwiseLayerNorm (class in speechbrain.lobes.models.conv_tasnet)
check_complex_input() (in module speechbrain.nnet.complex_networks.c_ops)
check_gradients() (speechbrain.core.Brain method)
check_quaternion_input() (in module speechbrain.nnet.quaternion_networks.q_ops)
Checkpoint (class in speechbrain.utils.checkpoints)
Checkpointer (class in speechbrain.utils.checkpoints)
Chomp1d (class in speechbrain.lobes.models.conv_tasnet)
choose_norm() (in module speechbrain.lobes.models.conv_tasnet)
CircularDependencyError
ckpt_recency() (in module speechbrain.utils.checkpoints)
classification_error() (in module speechbrain.nnet.losses)
Classifier (class in speechbrain.lobes.models.ECAPA_TDNN)
(class in speechbrain.lobes.models.Xvector)
classify_batch() (speechbrain.pretrained.interfaces.EncoderClassifier method)
CLayerNorm (class in speechbrain.nnet.complex_networks.c_normalization)
clear() (speechbrain.utils.metric_stats.BinaryMetricStats method)
(speechbrain.utils.metric_stats.MetricStats method)
CLiGRU (class in speechbrain.nnet.complex_networks.c_RNN)
CLiGRU_Layer (class in speechbrain.nnet.complex_networks.c_RNN)
CLinear (class in speechbrain.nnet.complex_networks.c_linear)
clr() (speechbrain.nnet.schedulers.CyclicLRScheduler method)
CLSTM (class in speechbrain.nnet.complex_networks.c_RNN)
CLSTM_Layer (class in speechbrain.nnet.complex_networks.c_RNN)
CNN_Block (class in speechbrain.lobes.models.CRDNN)
CNNTransformerSE (class in speechbrain.lobes.models.transformer.TransformerSE)
collapse_alignments() (speechbrain.alignment.aligner.HMMAligner method)
collapse_indices_ndim() (speechbrain.dataio.encoder.CTCTextEncoder method)
collapse_labels() (speechbrain.dataio.encoder.CTCTextEncoder method)
collect_files() (speechbrain.utils.parameter_transfer.Pretrainer method)
complex_conv_op() (in module speechbrain.nnet.complex_networks.c_ops)
complex_init() (in module speechbrain.nnet.complex_networks.c_ops)
complex_linear_op() (in module speechbrain.nnet.complex_networks.c_ops)
compute_amplitude() (in module speechbrain.processing.signal_processing)
compute_features() (speechbrain.pretrained.interfaces.SpectralMaskEnhancement method)
compute_forward() (speechbrain.core.Brain method)
compute_masked_loss() (in module speechbrain.nnet.losses)
compute_objectives() (speechbrain.core.Brain method)
compute_outputs() (speechbrain.utils.data_pipeline.DataPipeline method)
compute_specific() (speechbrain.utils.data_pipeline.DataPipeline method)
ConcatDatasetBatchSampler (class in speechbrain.dataio.sampler)
ConformerEncoder (class in speechbrain.lobes.models.transformer.conformer)
ConformerEncoderLayer (class in speechbrain.lobes.models.transformer.conformer)
ConnectBlocks (class in speechbrain.nnet.containers)
ContentBasedAttention (class in speechbrain.nnet.attention)
ContextNet (class in speechbrain.lobes.models.ContextNet)
ContextNetBlock (class in speechbrain.lobes.models.ContextNet)
ContextWindow (class in speechbrain.processing.features)
Conv1d (class in speechbrain.lobes.models.ECAPA_TDNN)
(class in speechbrain.nnet.CNN)
Conv2d (class in speechbrain.nnet.CNN)
ConvBlock (class in speechbrain.lobes.models.convolution)
convert_index_to_lab() (in module speechbrain.dataio.dataio)
ConvolutionFrontEnd (class in speechbrain.lobes.models.convolution)
ConvolutionModule (class in speechbrain.lobes.models.transformer.conformer)
convolve1d() (in module speechbrain.processing.signal_processing)
ConvTranspose1d (class in speechbrain.nnet.CNN)
count_ops() (in module speechbrain.utils.edit_distance)
Covariance (class in speechbrain.processing.multi_mic)
CRDNN (class in speechbrain.lobes.models.CRDNN)
create_experiment_directory() (in module speechbrain.core)
CRNN (class in speechbrain.nnet.complex_networks.c_RNN)
CRNN_Layer (class in speechbrain.nnet.complex_networks.c_RNN)
CSVItem (class in speechbrain.dataio.legacy)
ctc_forward_step() (speechbrain.decoders.seq2seq.S2SBeamSearcher method)
ctc_greedy_decode() (in module speechbrain.decoders.ctc)
ctc_loss() (in module speechbrain.nnet.losses)
ctc_loss_kd() (in module speechbrain.nnet.losses)
CTCPrefixScorer (class in speechbrain.decoders.ctc)
CTCTextEncoder (class in speechbrain.dataio.encoder)
CumulativeLayerNorm (class in speechbrain.lobes.models.dual_path)
CyclicCosineScheduler (class in speechbrain.nnet.schedulers)
CyclicLRScheduler (class in speechbrain.nnet.schedulers)
D
data (speechbrain.dataio.batch.PaddedData attribute)
(speechbrain.dataio.legacy.CSVItem attribute)
(speechbrain.utils.depgraph.DGNode attribute)
data_source (speechbrain.dataio.sampler.ReproducibleRandomSampler attribute)
DataPipeline (class in speechbrain.utils.data_pipeline)
dataset (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
dB_to_amplitude() (in module speechbrain.processing.signal_processing)
DCT (class in speechbrain.processing.features)
ddp_barrier() (in module speechbrain.utils.distributed)
ddp_init_group() (in module speechbrain.utils.distributed)
decode() (speechbrain.lobes.models.transformer.TransformerASR.TransformerASR method)
decode_batch() (speechbrain.pretrained.interfaces.EndToEndSLU method)
decode_file() (speechbrain.pretrained.interfaces.EndToEndSLU method)
decode_ndim() (speechbrain.dataio.encoder.CategoricalEncoder method)
decode_torch() (speechbrain.dataio.encoder.CategoricalEncoder method)
Decoder (class in speechbrain.lobes.models.conv_tasnet)
(class in speechbrain.lobes.models.dual_path)
DelaySum (class in speechbrain.processing.multi_mic)
delete_checkpoints() (speechbrain.utils.checkpoints.Checkpointer method)
Deltas (class in speechbrain.processing.features)
DependencyGraph (class in speechbrain.utils.depgraph)
DepthwiseSeparableConv (class in speechbrain.lobes.models.conv_tasnet)
DepthwiseSeparableConv1d (class in speechbrain.nnet.CNN)
DepthwiseSeparableConv2d (class in speechbrain.nnet.CNN)
DER() (in module speechbrain.utils.DER)
deref() (in module hyperpyyaml.core)
DGNode (class in speechbrain.utils.depgraph)
Dict (speechbrain.processing.features.InputNormalization attribute)
diff() (in module speechbrain.processing.PLDA_LDA)
dilation (speechbrain.lobes.models.dual_path.Decoder attribute)
Discriminator (class in speechbrain.lobes.models.Xvector)
DistributedSamplerWrapper (class in speechbrain.dataio.sampler)
DNN_Block (class in speechbrain.lobes.models.CRDNN)
do_lda() (speechbrain.processing.PLDA_LDA.LDA method)
doas2taus() (in module speechbrain.processing.multi_mic)
DoClip (class in speechbrain.processing.speech_augmentation)
download_file() (in module speechbrain.utils.data_utils)
DPTNetBlock (class in speechbrain.lobes.models.dual_path)
drop_last (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
DropChunk (class in speechbrain.processing.speech_augmentation)
DropFreq (class in speechbrain.processing.speech_augmentation)
Dropout2d (class in speechbrain.nnet.dropout)
Dual_Computation_Block (class in speechbrain.lobes.models.dual_path)
Dual_Path_Model (class in speechbrain.lobes.models.dual_path)
dump_hyperpyyaml() (in module hyperpyyaml.core)
DynamicBatchSampler (class in speechbrain.dataio.sampler)
DynamicItem (class in speechbrain.utils.data_pipeline)
DynamicItemDataset (class in speechbrain.dataio.dataset)
E
ECAPA_TDNN (class in speechbrain.lobes.models.ECAPA_TDNN)
edges (speechbrain.utils.depgraph.DGNode attribute)
EER() (in module speechbrain.utils.metric_stats)
elementwise_affine (speechbrain.lobes.models.dual_path.CumulativeLayerNorm attribute)
Embedding (class in speechbrain.nnet.embedding)
emit() (speechbrain.utils.logger.TqdmCompatibleStreamHandler method)
encode() (speechbrain.lobes.models.transformer.TransformerASR.TransformerASR method)
encode_batch() (speechbrain.pretrained.interfaces.EncoderClassifier method)
(speechbrain.pretrained.interfaces.EncoderDecoderASR method)
(speechbrain.pretrained.interfaces.EndToEndSLU method)
encode_label() (speechbrain.dataio.encoder.CategoricalEncoder method)
encode_label_torch() (speechbrain.dataio.encoder.CategoricalEncoder method)
encode_sequence() (speechbrain.dataio.encoder.CategoricalEncoder method)
encode_sequence_torch() (speechbrain.dataio.encoder.CategoricalEncoder method)
Encoder (class in speechbrain.lobes.models.conv_tasnet)
(class in speechbrain.lobes.models.dual_path)
EncoderClassifier (class in speechbrain.pretrained.interfaces)
EncoderDecoderASR (class in speechbrain.pretrained.interfaces)
EncoderWrapper (class in speechbrain.lobes.models.transformer.TransformerASR)
EndToEndSLU (class in speechbrain.pretrained.interfaces)
enforce_label() (speechbrain.dataio.encoder.CategoricalEncoder method)
enhance_batch() (speechbrain.pretrained.interfaces.SpectralMaskEnhancement method)
enhance_file() (speechbrain.pretrained.interfaces.SpectralMaskEnhancement method)
EnhancementGenerator (class in speechbrain.lobes.models.MetricGAN)
ensure_label() (speechbrain.dataio.encoder.CategoricalEncoder method)
EnvCorrupt (class in speechbrain.lobes.augment)
EpochCounter (class in speechbrain.utils.epoch_loop)
eps (speechbrain.lobes.models.dual_path.CumulativeLayerNorm attribute)
ErrorRateStats (class in speechbrain.utils.metric_stats)
ESPnetVGG (class in speechbrain.lobes.models.ESPnetVGG)
evaluate() (speechbrain.core.Brain method)
evaluate_batch() (speechbrain.core.Brain method)
expand_phns_by_states_per_phoneme() (speechbrain.alignment.aligner.HMMAligner method)
extend() (speechbrain.nnet.containers.ModuleList method)
ExtendedCSVDataset (class in speechbrain.dataio.legacy)
extract_features() (speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec1 method)
(speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec2 method)
(speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2 method)
EXTRAS_SEPARATOR (speechbrain.dataio.encoder.CategoricalEncoder attribute)
F
f() (in module speechbrain.processing.decomposition)
fa_model_loop() (in module speechbrain.processing.PLDA_LDA)
FairseqWav2Vec1 (class in speechbrain.lobes.models.fairseq_wav2vec)
FairseqWav2Vec2 (class in speechbrain.lobes.models.fairseq_wav2vec)
fast_PLDA_scoring() (in module speechbrain.processing.PLDA_LDA)
FastTransformerBlock (class in speechbrain.lobes.models.dual_path)
Fbank (class in speechbrain.lobes.features)
fetch() (in module speechbrain.pretrained.fetching)
FileTrainLogger (class in speechbrain.utils.train_logger)
filter() (speechbrain.processing.PLDA_LDA.Ndx method)
filter_ctc_output() (in module speechbrain.decoders.ctc)
filter_seq2seq_output() (in module speechbrain.decoders.seq2seq)
Filterbank (class in speechbrain.processing.features)
filtered_sorted() (speechbrain.dataio.dataset.DynamicItemDataset method)
FilteredSortedDynamicItemDataset (class in speechbrain.dataio.dataset)
find_checkpoint() (speechbrain.utils.checkpoints.Checkpointer method)
find_checkpoints() (speechbrain.utils.checkpoints.Checkpointer method)
finv() (in module speechbrain.processing.decomposition)
fit() (speechbrain.core.Brain method)
fit_batch() (speechbrain.core.Brain method)
forgetMult() (speechbrain.nnet.RNN.QuasiRNNLayer method)
format (speechbrain.dataio.legacy.CSVItem attribute)
format_order_of_magnitude() (in module speechbrain.utils.logger)
forward() (speechbrain.alignment.aligner.HMMAligner method)
(speechbrain.decoders.seq2seq.S2SBaseSearcher method)
(speechbrain.decoders.seq2seq.S2SBeamSearcher method)
(speechbrain.decoders.seq2seq.S2SGreedySearcher method)
(speechbrain.decoders.transducer.TransducerBeamSearcher method)
(speechbrain.lobes.augment.EnvCorrupt method)
(speechbrain.lobes.augment.SpecAugment method)
(speechbrain.lobes.augment.TimeDomainSpecAugment method)
(speechbrain.lobes.features.Fbank method)
(speechbrain.lobes.features.MFCC method)
(speechbrain.lobes.models.ContextNet.ContextNetBlock method)
(speechbrain.lobes.models.ContextNet.SEmodule method)
(speechbrain.lobes.models.conv_tasnet.ChannelwiseLayerNorm method)
(speechbrain.lobes.models.conv_tasnet.Chomp1d method)
(speechbrain.lobes.models.conv_tasnet.Decoder method)
(speechbrain.lobes.models.conv_tasnet.Encoder method)
(speechbrain.lobes.models.conv_tasnet.GlobalLayerNorm method)
(speechbrain.lobes.models.conv_tasnet.MaskNet method)
(speechbrain.lobes.models.conv_tasnet.TemporalBlock method)
(speechbrain.lobes.models.convolution.ConvBlock method)
(speechbrain.lobes.models.dual_path.CumulativeLayerNorm method)
(speechbrain.lobes.models.dual_path.Decoder method)
(speechbrain.lobes.models.dual_path.DPTNetBlock method)
(speechbrain.lobes.models.dual_path.Dual_Computation_Block method)
(speechbrain.lobes.models.dual_path.Dual_Path_Model method)
(speechbrain.lobes.models.dual_path.Encoder method)
(speechbrain.lobes.models.dual_path.FastTransformerBlock method)
(speechbrain.lobes.models.dual_path.GlobalLayerNorm method)
(speechbrain.lobes.models.dual_path.PyTorchPositionalEncoding method)
(speechbrain.lobes.models.dual_path.PytorchTransformerBlock method)
(speechbrain.lobes.models.dual_path.SBConformerEncoderBlock method)
(speechbrain.lobes.models.dual_path.SBRNNBlock method)
(speechbrain.lobes.models.dual_path.SBTransformerBlock method)
(speechbrain.lobes.models.dual_path.SepformerWrapper method)
(speechbrain.lobes.models.ECAPA_TDNN.AttentiveStatisticsPooling method)
(speechbrain.lobes.models.ECAPA_TDNN.Classifier method)
(speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN method)
(speechbrain.lobes.models.ECAPA_TDNN.Res2NetBlock method)
(speechbrain.lobes.models.ECAPA_TDNN.SEBlock method)
(speechbrain.lobes.models.ECAPA_TDNN.SERes2NetBlock method)
(speechbrain.lobes.models.ECAPA_TDNN.TDNNBlock method)
(speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec1 method)
(speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec2 method)
(speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2 method)
(speechbrain.lobes.models.MetricGAN.EnhancementGenerator method)
(speechbrain.lobes.models.MetricGAN.Learnable_sigmoid method)
(speechbrain.lobes.models.MetricGAN.MetricDiscriminator method)
(speechbrain.lobes.models.RNNLM.RNNLM method)
(speechbrain.lobes.models.transformer.conformer.ConformerEncoder method)
(speechbrain.lobes.models.transformer.conformer.ConformerEncoderLayer method)
(speechbrain.lobes.models.transformer.conformer.ConvolutionModule method)
(speechbrain.lobes.models.transformer.Transformer.NormalizedEmbedding method)
(speechbrain.lobes.models.transformer.Transformer.PositionalEncoding method)
(speechbrain.lobes.models.transformer.Transformer.TransformerDecoder method)
(speechbrain.lobes.models.transformer.Transformer.TransformerDecoderLayer method)
(speechbrain.lobes.models.transformer.Transformer.TransformerEncoder method)
(speechbrain.lobes.models.transformer.Transformer.TransformerEncoderLayer method)
(speechbrain.lobes.models.transformer.Transformer.TransformerInterface method)
(speechbrain.lobes.models.transformer.TransformerASR.EncoderWrapper method)
(speechbrain.lobes.models.transformer.TransformerASR.TransformerASR method)
(speechbrain.lobes.models.transformer.TransformerLM.TransformerLM method)
(speechbrain.lobes.models.transformer.TransformerSE.CNNTransformerSE method)
(speechbrain.lobes.models.Xvector.Xvector method)
(speechbrain.nnet.activations.GumbelSoftmax method)
(speechbrain.nnet.activations.Softmax method)
(speechbrain.nnet.activations.Swish method)
(speechbrain.nnet.attention.ContentBasedAttention method)
(speechbrain.nnet.attention.KeyValueAttention method)
(speechbrain.nnet.attention.LocationAwareAttention method)
(speechbrain.nnet.attention.MultiheadAttention method)
(speechbrain.nnet.attention.PositionalwiseFeedForward method)
(speechbrain.nnet.CNN.Conv1d method)
(speechbrain.nnet.CNN.Conv2d method)
(speechbrain.nnet.CNN.ConvTranspose1d method)
(speechbrain.nnet.CNN.DepthwiseSeparableConv1d method)
(speechbrain.nnet.CNN.DepthwiseSeparableConv2d method)
(speechbrain.nnet.CNN.SincConv method)
(speechbrain.nnet.complex_networks.c_CNN.CConv1d method)
(speechbrain.nnet.complex_networks.c_CNN.CConv2d method)
(speechbrain.nnet.complex_networks.c_linear.CLinear method)
(speechbrain.nnet.complex_networks.c_normalization.CBatchNorm method)
(speechbrain.nnet.complex_networks.c_normalization.CLayerNorm method)
(speechbrain.nnet.complex_networks.c_RNN.CLiGRU method)
(speechbrain.nnet.complex_networks.c_RNN.CLiGRU_Layer method)
(speechbrain.nnet.complex_networks.c_RNN.CLSTM method)
(speechbrain.nnet.complex_networks.c_RNN.CLSTM_Layer method)
(speechbrain.nnet.complex_networks.c_RNN.CRNN method)
(speechbrain.nnet.complex_networks.c_RNN.CRNN_Layer method)
(speechbrain.nnet.containers.ConnectBlocks method)
(speechbrain.nnet.containers.LengthsCapableSequential method)
(speechbrain.nnet.containers.ModuleList method)
(speechbrain.nnet.containers.Sequential method)
(speechbrain.nnet.dropout.Dropout2d method)
(speechbrain.nnet.embedding.Embedding method)
(speechbrain.nnet.linear.Linear method)
(speechbrain.nnet.losses.AdditiveAngularMargin method)
(speechbrain.nnet.losses.AngularMargin method)
(speechbrain.nnet.losses.LogSoftmaxWrapper method)
(speechbrain.nnet.losses.PitWrapper method)
(speechbrain.nnet.normalization.BatchNorm1d method)
(speechbrain.nnet.normalization.BatchNorm2d method)
(speechbrain.nnet.normalization.InstanceNorm1d method)
(speechbrain.nnet.normalization.InstanceNorm2d method)
(speechbrain.nnet.normalization.LayerNorm method)
(speechbrain.nnet.pooling.AdaptivePool method)
(speechbrain.nnet.pooling.Pooling1d method)
(speechbrain.nnet.pooling.Pooling2d method)
(speechbrain.nnet.pooling.StatisticsPooling method)
(speechbrain.nnet.quaternion_networks.q_CNN.QConv1d method)
(speechbrain.nnet.quaternion_networks.q_CNN.QConv2d method)
(speechbrain.nnet.quaternion_networks.q_linear.QLinear method)
(speechbrain.nnet.quaternion_networks.q_normalization.QBatchNorm method)
(speechbrain.nnet.quaternion_networks.q_ops.QuaternionLinearCustomBackward static method)
(speechbrain.nnet.quaternion_networks.q_RNN.QLiGRU method)
(speechbrain.nnet.quaternion_networks.q_RNN.QLiGRU_Layer method)
(speechbrain.nnet.quaternion_networks.q_RNN.QLSTM method)
(speechbrain.nnet.quaternion_networks.q_RNN.QLSTM_Layer method)
(speechbrain.nnet.quaternion_networks.q_RNN.QRNN method)
(speechbrain.nnet.quaternion_networks.q_RNN.QRNN_Layer method)
(speechbrain.nnet.RNN.AttentionalRNNDecoder method)
(speechbrain.nnet.RNN.GRU method)
(speechbrain.nnet.RNN.GRUCell method)
(speechbrain.nnet.RNN.LiGRU method)
(speechbrain.nnet.RNN.LiGRU_Layer method)
(speechbrain.nnet.RNN.LSTM method)
(speechbrain.nnet.RNN.LSTMCell method)
(speechbrain.nnet.RNN.QuasiRNN method)
(speechbrain.nnet.RNN.QuasiRNNLayer method)
(speechbrain.nnet.RNN.RNN method)
(speechbrain.nnet.RNN.RNNCell method)
(speechbrain.nnet.transducer.transducer_joint.Transducer_joint method)
(speechbrain.processing.features.ContextWindow method)
(speechbrain.processing.features.DCT method)
(speechbrain.processing.features.Deltas method)
(speechbrain.processing.features.Filterbank method)
(speechbrain.processing.features.InputNormalization method)
(speechbrain.processing.features.ISTFT method)
(speechbrain.processing.features.STFT method)
(speechbrain.processing.multi_mic.Covariance method)
(speechbrain.processing.multi_mic.DelaySum method)
(speechbrain.processing.multi_mic.GccPhat method)
(speechbrain.processing.multi_mic.Gev method)
(speechbrain.processing.multi_mic.Music method)
(speechbrain.processing.multi_mic.Mvdr method)
(speechbrain.processing.multi_mic.SrpPhat method)
(speechbrain.processing.speech_augmentation.AddBabble method)
(speechbrain.processing.speech_augmentation.AddNoise method)
(speechbrain.processing.speech_augmentation.AddReverb method)
(speechbrain.processing.speech_augmentation.DoClip method)
(speechbrain.processing.speech_augmentation.DropChunk method)
(speechbrain.processing.speech_augmentation.DropFreq method)
(speechbrain.processing.speech_augmentation.Resample method)
(speechbrain.processing.speech_augmentation.SpeedPerturb method)
forward_step() (speechbrain.decoders.ctc.CTCPrefixScorer method)
(speechbrain.decoders.seq2seq.S2SBaseSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNGreedySearcher method)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch method)
(speechbrain.nnet.RNN.AttentionalRNNDecoder method)
from_arrow_dataset() (speechbrain.dataio.dataset.DynamicItemDataset class method)
from_csv() (speechbrain.dataio.dataset.DynamicItemDataset class method)
(speechbrain.dataio.dataset.FilteredSortedDynamicItemDataset class method)
from_hparams() (speechbrain.pretrained.interfaces.Pretrained class method)
from_json() (speechbrain.dataio.dataset.DynamicItemDataset class method)
(speechbrain.dataio.dataset.FilteredSortedDynamicItemDataset class method)
from_keys() (hyperpyyaml.TestThing class method)
from_saved() (speechbrain.dataio.encoder.CategoricalEncoder class method)
G
g() (in module speechbrain.processing.decomposition)
GccPhat (class in speechbrain.processing.multi_mic)
GeneratorDynamicItem (class in speechbrain.utils.data_pipeline)
get_all_files() (in module speechbrain.utils.data_utils)
get_blank_index() (speechbrain.dataio.encoder.CTCTextEncoder method)
get_bos_index() (speechbrain.dataio.encoder.TextEncoder method)
get_conjugate() (in module speechbrain.nnet.complex_networks.c_ops)
get_default_hook() (in module speechbrain.utils.checkpoints)
get_environment_description() (in module speechbrain.utils.logger)
get_eos_index() (speechbrain.dataio.encoder.TextEncoder method)
get_evaluation_order() (speechbrain.utils.depgraph.DependencyGraph method)
get_imag() (in module speechbrain.nnet.complex_networks.c_ops)
get_key_padding_mask() (in module speechbrain.lobes.models.transformer.Transformer)
get_lda_matrix_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_lookahead_mask() (in module speechbrain.lobes.models.transformer.Transformer)
get_mask() (in module speechbrain.nnet.losses)
get_md5() (in module speechbrain.dataio.dataio)
get_mean_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_model_segsets() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_model_start() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_model_stat0() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_model_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_model_stop() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_output_shape() (speechbrain.nnet.containers.Sequential method)
get_padding_elem() (in module speechbrain.nnet.CNN)
get_padding_elem_transposed() (in module speechbrain.nnet.CNN)
get_prev_alignments() (speechbrain.alignment.aligner.HMMAligner method)
get_real() (in module speechbrain.nnet.complex_networks.c_ops)
get_selected_node_ids() (speechbrain.utils.data_pipeline.DataPipeline method)
get_si_snr_with_pitwrapper() (in module speechbrain.nnet.losses)
get_torchaudio_backend() (in module speechbrain.utils.torch_audio_backend)
get_total_covariance_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
get_unique_key() (speechbrain.utils.depgraph.DependencyGraph static method)
Gev (class in speechbrain.processing.multi_mic)
gevd() (in module speechbrain.processing.decomposition)
ginv() (in module speechbrain.processing.decomposition)
GlobalLayerNorm (class in speechbrain.lobes.models.conv_tasnet)
(class in speechbrain.lobes.models.dual_path)
groups (speechbrain.lobes.models.dual_path.Decoder attribute)
GRU (class in speechbrain.nnet.RNN)
GRUCell (class in speechbrain.nnet.RNN)
GumbelSoftmax (class in speechbrain.nnet.activations)
H
handle_special_labels() (speechbrain.dataio.encoder.CategoricalEncoder method)
(speechbrain.dataio.encoder.CTCTextEncoder method)
(speechbrain.dataio.encoder.TextEncoder method)
HMMAligner (class in speechbrain.alignment.aligner)
HPARAMS_NEEDED (speechbrain.pretrained.interfaces.EncoderDecoderASR attribute)
(speechbrain.pretrained.interfaces.EndToEndSLU attribute)
(speechbrain.pretrained.interfaces.Pretrained attribute)
(speechbrain.pretrained.interfaces.SpectralMaskEnhancement attribute)
HuggingFaceWav2Vec2 (class in speechbrain.lobes.models.huggingface_wav2vec)
hyperpyyaml
module
hyperpyyaml.core
module
I
IdentityBlock (class in speechbrain.lobes.models.dual_path)
if_main_process() (in module speechbrain.utils.distributed)
inflate_tensor() (in module speechbrain.decoders.seq2seq)
init_optimizers() (speechbrain.core.Brain method)
init_params() (speechbrain.nnet.transducer.transducer_joint.Transducer_joint method)
InputNormalization (class in speechbrain.processing.features)
insert() (speechbrain.nnet.containers.ModuleList method)
insert_blank() (speechbrain.dataio.encoder.CTCTextEncoder method)
insert_bos_eos() (speechbrain.dataio.encoder.TextEncoder method)
insert_label() (speechbrain.dataio.encoder.CategoricalEncoder method)
InstanceNorm1d (class in speechbrain.nnet.normalization)
InstanceNorm2d (class in speechbrain.nnet.normalization)
inv() (in module speechbrain.processing.decomposition)
is_continuous() (speechbrain.dataio.encoder.CategoricalEncoder method)
is_valid() (speechbrain.utils.depgraph.DependencyGraph method)
ismember() (in module speechbrain.processing.PLDA_LDA)
ISTFT (class in speechbrain.processing.features)
IterativeCSVWriter (class in speechbrain.dataio.dataio)
K
kernel_size (speechbrain.lobes.models.dual_path.Decoder attribute)
key (speechbrain.utils.data_pipeline.StaticItem attribute)
(speechbrain.utils.depgraph.DGNode attribute)
KeyValueAttention (class in speechbrain.nnet.attention)
kldiv_loss() (in module speechbrain.nnet.losses)
L
l1_loss() (in module speechbrain.nnet.losses)
LayerNorm (class in speechbrain.nnet.normalization)
LDA (class in speechbrain.processing.PLDA_LDA)
Learnable_sigmoid (class in speechbrain.lobes.models.MetricGAN)
length_to_mask() (in module speechbrain.dataio.dataio)
lengths (speechbrain.dataio.batch.PaddedData attribute)
lengths_arg_exists() (in module speechbrain.utils.callchains)
LengthsCapableChain (class in speechbrain.utils.callchains)
LengthsCapableSequential (class in speechbrain.nnet.containers)
LiGRU (class in speechbrain.nnet.RNN)
LiGRU_Layer (class in speechbrain.nnet.RNN)
limited_labelset_from_iterable() (speechbrain.dataio.encoder.CategoricalEncoder method)
(speechbrain.dataio.encoder.TextEncoder method)
Linear (class in speechbrain.nnet.linear)
LinearScheduler (class in speechbrain.nnet.schedulers)
list_checkpoints() (speechbrain.utils.checkpoints.Checkpointer method)
lm_forward_step() (speechbrain.decoders.seq2seq.S2SBaseSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchLM method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchTransformerLM method)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch method)
load() (speechbrain.dataio.encoder.CategoricalEncoder method)
(speechbrain.nnet.schedulers.CyclicCosineScheduler method)
(speechbrain.nnet.schedulers.CyclicLRScheduler method)
(speechbrain.nnet.schedulers.NewBobScheduler method)
(speechbrain.nnet.schedulers.NoamScheduler method)
(speechbrain.nnet.schedulers.ReduceLROnPlateau method)
load_audio() (speechbrain.pretrained.interfaces.Pretrained method)
load_checkpoint() (speechbrain.utils.checkpoints.Checkpointer method)
load_collected() (speechbrain.utils.parameter_transfer.Pretrainer method)
load_data_csv() (in module speechbrain.dataio.dataio)
load_data_json() (in module speechbrain.dataio.dataio)
load_hyperpyyaml() (in module hyperpyyaml.core)
load_if_possible() (speechbrain.dataio.encoder.CategoricalEncoder method)
load_or_create() (speechbrain.dataio.encoder.CategoricalEncoder method)
load_pickle() (in module speechbrain.dataio.dataio)
load_pkl() (in module speechbrain.dataio.dataio)
load_sb_extended_csv() (in module speechbrain.dataio.legacy)
LocationAwareAttention (class in speechbrain.nnet.attention)
log_stats() (speechbrain.utils.train_logger.FileTrainLogger method)
(speechbrain.utils.train_logger.TensorboardLogger method)
(speechbrain.utils.train_logger.TrainLogger method)
logprob() (speechbrain.lm.ngram.BackoffNgramLM method)
LogSoftmaxWrapper (class in speechbrain.nnet.losses)
LSTM (class in speechbrain.nnet.RNN)
LSTMCell (class in speechbrain.nnet.RNN)
M
make_dataloader() (in module speechbrain.dataio.dataloader)
(speechbrain.core.Brain method)
make_masks() (speechbrain.lobes.models.transformer.TransformerASR.TransformerASR method)
(speechbrain.lobes.models.transformer.TransformerLM.TransformerLM method)
map_inds_to_intersect() (in module speechbrain.alignment.aligner)
mark_as_loader() (in module speechbrain.utils.checkpoints)
mark_as_saver() (in module speechbrain.utils.checkpoints)
mark_as_transfer() (in module speechbrain.utils.checkpoints)
mask_along_axis() (speechbrain.lobes.augment.SpecAugment method)
mask_by_condition() (in module speechbrain.decoders.seq2seq)
MaskNet (class in speechbrain.lobes.models.conv_tasnet)
merge_char() (in module speechbrain.dataio.dataio)
merge_csvs() (in module speechbrain.dataio.dataio)
meta (speechbrain.utils.checkpoints.Checkpoint attribute)
MetricDiscriminator (class in speechbrain.lobes.models.MetricGAN)
MetricStats (class in speechbrain.utils.metric_stats)
MFCC (class in speechbrain.lobes.features)
minDCF() (in module speechbrain.utils.metric_stats)
mod_default_collate() (in module speechbrain.utils.data_utils)
module
hyperpyyaml
hyperpyyaml.core
speechbrain
speechbrain.alignment
speechbrain.alignment.aligner
speechbrain.core
speechbrain.dataio
speechbrain.dataio.batch
speechbrain.dataio.dataio
speechbrain.dataio.dataloader
speechbrain.dataio.dataset
speechbrain.dataio.encoder
speechbrain.dataio.legacy
speechbrain.dataio.preprocess
speechbrain.dataio.sampler
speechbrain.dataio.wer
speechbrain.decoders
speechbrain.decoders.ctc
speechbrain.decoders.seq2seq
speechbrain.decoders.transducer
speechbrain.lm
speechbrain.lm.arpa
speechbrain.lm.counting
speechbrain.lm.ngram
speechbrain.lobes
speechbrain.lobes.augment
speechbrain.lobes.features
speechbrain.lobes.models
speechbrain.lobes.models.ContextNet
speechbrain.lobes.models.conv_tasnet
speechbrain.lobes.models.convolution
speechbrain.lobes.models.CRDNN
speechbrain.lobes.models.dual_path
speechbrain.lobes.models.ECAPA_TDNN
speechbrain.lobes.models.ESPnetVGG
speechbrain.lobes.models.fairseq_wav2vec
speechbrain.lobes.models.huggingface_wav2vec
speechbrain.lobes.models.MetricGAN
speechbrain.lobes.models.RNNLM
speechbrain.lobes.models.transformer
speechbrain.lobes.models.transformer.conformer
speechbrain.lobes.models.transformer.Transformer
speechbrain.lobes.models.transformer.TransformerASR
speechbrain.lobes.models.transformer.TransformerLM
speechbrain.lobes.models.transformer.TransformerSE
speechbrain.lobes.models.VanillaNN
speechbrain.lobes.models.Xvector
speechbrain.nnet
speechbrain.nnet.activations
speechbrain.nnet.attention
speechbrain.nnet.CNN
speechbrain.nnet.complex_networks
speechbrain.nnet.complex_networks.c_CNN
speechbrain.nnet.complex_networks.c_linear
speechbrain.nnet.complex_networks.c_normalization
speechbrain.nnet.complex_networks.c_ops
speechbrain.nnet.complex_networks.c_RNN
speechbrain.nnet.containers
speechbrain.nnet.dropout
speechbrain.nnet.embedding
speechbrain.nnet.linear
speechbrain.nnet.loss
speechbrain.nnet.loss.stoi_loss
speechbrain.nnet.losses
speechbrain.nnet.normalization
speechbrain.nnet.pooling
speechbrain.nnet.quaternion_networks
speechbrain.nnet.quaternion_networks.q_CNN
speechbrain.nnet.quaternion_networks.q_linear
speechbrain.nnet.quaternion_networks.q_normalization
speechbrain.nnet.quaternion_networks.q_ops
speechbrain.nnet.quaternion_networks.q_RNN
speechbrain.nnet.RNN
speechbrain.nnet.schedulers
speechbrain.nnet.transducer
speechbrain.nnet.transducer.transducer_joint
speechbrain.pretrained
speechbrain.pretrained.fetching
speechbrain.pretrained.interfaces
speechbrain.processing
speechbrain.processing.decomposition
speechbrain.processing.features
speechbrain.processing.multi_mic
speechbrain.processing.NMF
speechbrain.processing.PLDA_LDA
speechbrain.processing.signal_processing
speechbrain.processing.speech_augmentation
speechbrain.tokenizers
speechbrain.tokenizers.SentencePiece
speechbrain.utils
speechbrain.utils.Accuracy
speechbrain.utils.callchains
speechbrain.utils.checkpoints
speechbrain.utils.data_pipeline
speechbrain.utils.data_utils
speechbrain.utils.depgraph
speechbrain.utils.DER
speechbrain.utils.distributed
speechbrain.utils.edit_distance
speechbrain.utils.epoch_loop
speechbrain.utils.logger
speechbrain.utils.metric_stats
speechbrain.utils.parameter_transfer
speechbrain.utils.superpowers
speechbrain.utils.torch_audio_backend
speechbrain.utils.train_logger
ModuleList (class in speechbrain.nnet.containers)
MODULES_NEEDED (speechbrain.pretrained.interfaces.EncoderClassifier attribute)
(speechbrain.pretrained.interfaces.EncoderDecoderASR attribute)
(speechbrain.pretrained.interfaces.EndToEndSLU attribute)
(speechbrain.pretrained.interfaces.Pretrained attribute)
(speechbrain.pretrained.interfaces.SepformerSeparation attribute)
(speechbrain.pretrained.interfaces.SpeakerRecognition attribute)
(speechbrain.pretrained.interfaces.SpectralMaskEnhancement attribute)
mse_loss() (in module speechbrain.nnet.losses)
multi_mean() (in module speechbrain.nnet.complex_networks.c_ops)
MultiheadAttention (class in speechbrain.nnet.attention)
multiprocess_evaluation() (in module speechbrain.utils.metric_stats)
Music (class in speechbrain.processing.multi_mic)
Mvdr (class in speechbrain.processing.multi_mic)
N
Ndx (class in speechbrain.processing.PLDA_LDA)
NewBobScheduler (class in speechbrain.nnet.schedulers)
next_provides() (speechbrain.utils.data_pipeline.DynamicItem method)
(speechbrain.utils.data_pipeline.GeneratorDynamicItem method)
next_takes() (speechbrain.utils.data_pipeline.DynamicItem method)
(speechbrain.utils.data_pipeline.GeneratorDynamicItem method)
ngram_evaluation_details() (in module speechbrain.lm.ngram)
ngram_perplexity() (in module speechbrain.lm.ngram)
ngrams() (in module speechbrain.lm.counting)
ngrams_for_evaluation() (in module speechbrain.lm.counting)
nll_loss() (in module speechbrain.nnet.losses)
nll_loss_kd() (in module speechbrain.nnet.losses)
NMF_separate_spectra() (in module speechbrain.processing.NMF)
NoamScheduler (class in speechbrain.nnet.schedulers)
norm_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
normalize() (in module speechbrain.processing.signal_processing)
normalized_shape (speechbrain.lobes.models.dual_path.CumulativeLayerNorm attribute)
NormalizedEmbedding (class in speechbrain.lobes.models.transformer.Transformer)
notch_filter() (in module speechbrain.processing.signal_processing)
num_samples (speechbrain.dataio.sampler.ReproducibleWeightedRandomSampler attribute)
num_workers (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
O
on_batch_end() (speechbrain.nnet.schedulers.CyclicLRScheduler method)
on_evaluate_start() (speechbrain.core.Brain method)
on_fit_start() (speechbrain.core.Brain method)
on_stage_end() (speechbrain.core.Brain method)
on_stage_start() (speechbrain.core.Brain method)
op_table() (in module speechbrain.utils.edit_distance)
opts (speechbrain.dataio.legacy.CSVItem attribute)
out_channels (speechbrain.lobes.models.dual_path.Decoder attribute)
output_keys_as() (speechbrain.dataio.dataset.DynamicItemDataset method)
output_padding (speechbrain.lobes.models.dual_path.Decoder attribute)
overlap_and_add() (in module speechbrain.processing.signal_processing)
P
pack_padded_sequence() (in module speechbrain.nnet.RNN)
pad_ends() (in module speechbrain.lm.counting)
pad_packed_sequence() (in module speechbrain.nnet.RNN)
pad_right_to() (in module speechbrain.utils.data_utils)
PaddedBatch (class in speechbrain.dataio.batch)
PaddedData (class in speechbrain.dataio.batch)
padding (speechbrain.lobes.models.dual_path.Decoder attribute)
padding_mode (speechbrain.lobes.models.dual_path.Decoder attribute)
paramfiles (speechbrain.utils.checkpoints.Checkpoint attribute)
parse_arguments() (in module speechbrain.core)
parse_arithmetic() (in module hyperpyyaml.core)
path (speechbrain.utils.checkpoints.Checkpoint attribute)
permute_lm_mem() (speechbrain.decoders.seq2seq.S2SBeamSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchLM method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchTransformerLM method)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch method)
permute_mem() (speechbrain.decoders.ctc.CTCPrefixScorer method)
(speechbrain.decoders.seq2seq.S2SBeamSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearcher method)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch method)
pin_memory (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
pin_memory() (speechbrain.dataio.batch.PaddedBatch method)
PitWrapper (class in speechbrain.nnet.losses)
Placeholder (class in hyperpyyaml.core)
PLDA (class in speechbrain.processing.PLDA_LDA)
plda() (speechbrain.processing.PLDA_LDA.PLDA method)
Pooling1d (class in speechbrain.nnet.pooling)
Pooling2d (class in speechbrain.nnet.pooling)
pos_def() (in module speechbrain.processing.decomposition)
PositionalEncoding (class in speechbrain.lobes.models.transformer.Transformer)
PositionalwiseFeedForward (class in speechbrain.nnet.attention)
precomputed_enc_h (speechbrain.nnet.attention.LocationAwareAttention attribute)
prefetch_factor (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
prepend_bos_index() (speechbrain.dataio.encoder.TextEncoder method)
prepend_bos_label() (speechbrain.dataio.encoder.TextEncoder method)
prepend_bos_token() (in module speechbrain.dataio.dataio)
Pretrained (class in speechbrain.pretrained.interfaces)
Pretrainer (class in speechbrain.utils.parameter_transfer)
print_alignments() (in module speechbrain.dataio.wer)
print_wer_summary() (in module speechbrain.dataio.wer)
provided_in_order() (speechbrain.utils.data_pipeline.DynamicItem method)
(speechbrain.utils.data_pipeline.GeneratorDynamicItem method)
provides() (in module speechbrain.utils.data_pipeline)
provides_decorator() (in module speechbrain.utils.data_pipeline)
PyTorchPositionalEncoding (class in speechbrain.lobes.models.dual_path)
PytorchTransformerBlock (class in speechbrain.lobes.models.dual_path)
Q
QBatchNorm (class in speechbrain.nnet.quaternion_networks.q_normalization)
QConv1d (class in speechbrain.nnet.quaternion_networks.q_CNN)
QConv2d (class in speechbrain.nnet.quaternion_networks.q_CNN)
QLiGRU (class in speechbrain.nnet.quaternion_networks.q_RNN)
QLiGRU_Layer (class in speechbrain.nnet.quaternion_networks.q_RNN)
QLinear (class in speechbrain.nnet.quaternion_networks.q_linear)
QLSTM (class in speechbrain.nnet.quaternion_networks.q_RNN)
QLSTM_Layer (class in speechbrain.nnet.quaternion_networks.q_RNN)
QRNN (class in speechbrain.nnet.quaternion_networks.q_RNN)
QRNN_Layer (class in speechbrain.nnet.quaternion_networks.q_RNN)
QuasiRNN (class in speechbrain.nnet.RNN)
QuasiRNNLayer (class in speechbrain.nnet.RNN)
quaternion_conv_op() (in module speechbrain.nnet.quaternion_networks.q_ops)
quaternion_conv_rotation_op() (in module speechbrain.nnet.quaternion_networks.q_ops)
quaternion_init() (in module speechbrain.nnet.quaternion_networks.q_ops)
quaternion_linear_op() (in module speechbrain.nnet.quaternion_networks.q_ops)
quaternion_linear_rotation_op() (in module speechbrain.nnet.quaternion_networks.q_ops)
QuaternionLinearCustomBackward (class in speechbrain.nnet.quaternion_networks.q_ops)
R
read_arpa() (in module speechbrain.lm.arpa)
read_audio() (in module speechbrain.dataio.dataio)
read_audio_multichannel() (in module speechbrain.dataio.dataio)
read_kaldi_lab() (in module speechbrain.dataio.dataio)
read_pkl() (in module speechbrain.dataio.legacy)
reconstruct_results() (in module speechbrain.processing.NMF)
recover_if_possible() (speechbrain.utils.checkpoints.Checkpointer method)
rectify() (in module speechbrain.utils.DER)
recursive_items() (in module speechbrain.utils.data_utils)
recursive_resolve() (in module hyperpyyaml.core)
recursive_to() (in module speechbrain.utils.data_utils)
recursive_update() (in module hyperpyyaml.core)
(in module speechbrain.utils.data_utils)
ReduceLROnPlateau (class in speechbrain.nnet.schedulers)
RefTag (class in hyperpyyaml.core)
register_checkpoint_hooks() (in module speechbrain.utils.checkpoints)
relative_time_to_absolute() (in module speechbrain.dataio.dataio)
removeSilentFrames() (in module speechbrain.nnet.loss.stoi_loss)
reorder_tensor() (speechbrain.nnet.losses.PitWrapper method)
replacement (speechbrain.dataio.sampler.ReproducibleRandomSampler attribute)
(speechbrain.dataio.sampler.ReproducibleWeightedRandomSampler attribute)
ReproducibleRandomSampler (class in speechbrain.dataio.sampler)
ReproducibleWeightedRandomSampler (class in speechbrain.dataio.sampler)
Res2NetBlock (class in speechbrain.lobes.models.ECAPA_TDNN)
Resample (class in speechbrain.processing.speech_augmentation)
rescale() (in module speechbrain.processing.signal_processing)
reset() (speechbrain.nnet.attention.ContentBasedAttention method)
(speechbrain.nnet.attention.KeyValueAttention method)
(speechbrain.nnet.attention.LocationAwareAttention method)
(speechbrain.utils.data_pipeline.DynamicItem method)
(speechbrain.utils.data_pipeline.GeneratorDynamicItem method)
reset_layer() (speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec1 method)
(speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec2 method)
reset_layer_recursively() (speechbrain.lobes.models.dual_path.SepformerWrapper method)
reset_lm_mem() (speechbrain.decoders.seq2seq.S2SBaseSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchLM method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchTransformerLM method)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch method)
reset_mem() (speechbrain.decoders.seq2seq.S2SBaseSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearcher method)
(speechbrain.decoders.seq2seq.S2SRNNGreedySearcher method)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch method)
reset_parameters() (speechbrain.lobes.models.conv_tasnet.ChannelwiseLayerNorm method)
(speechbrain.lobes.models.conv_tasnet.GlobalLayerNorm method)
(speechbrain.nnet.complex_networks.c_normalization.CBatchNorm method)
(speechbrain.nnet.complex_networks.c_normalization.CLayerNorm method)
reset_running_stats() (speechbrain.nnet.complex_networks.c_normalization.CBatchNorm method)
resolve_references() (in module hyperpyyaml.core)
resynthesize() (in module speechbrain.processing.signal_processing)
reverberate() (in module speechbrain.processing.signal_processing)
RNN (class in speechbrain.nnet.RNN)
rnn_init() (in module speechbrain.nnet.RNN)
RNNCell (class in speechbrain.nnet.RNN)
RNNLM (class in speechbrain.lobes.models.RNNLM)
rotate_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
run_on_main() (in module speechbrain.utils.distributed)
run_shell() (in module speechbrain.utils.superpowers)
S
S2SBaseSearcher (class in speechbrain.decoders.seq2seq)
S2SBeamSearcher (class in speechbrain.decoders.seq2seq)
S2SGreedySearcher (class in speechbrain.decoders.seq2seq)
S2SRNNBeamSearcher (class in speechbrain.decoders.seq2seq)
S2SRNNBeamSearchLM (class in speechbrain.decoders.seq2seq)
S2SRNNBeamSearchTransformerLM (class in speechbrain.decoders.seq2seq)
S2SRNNGreedySearcher (class in speechbrain.decoders.seq2seq)
S2STransformerBeamSearch (class in speechbrain.decoders.seq2seq)
sampler (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
save() (speechbrain.dataio.encoder.CategoricalEncoder method)
(speechbrain.nnet.schedulers.CyclicCosineScheduler method)
(speechbrain.nnet.schedulers.CyclicLRScheduler method)
(speechbrain.nnet.schedulers.NewBobScheduler method)
(speechbrain.nnet.schedulers.NoamScheduler method)
(speechbrain.nnet.schedulers.ReduceLROnPlateau method)
save_and_keep_only() (speechbrain.utils.checkpoints.Checkpointer method)
save_checkpoint() (speechbrain.utils.checkpoints.Checkpointer method)
save_md5() (in module speechbrain.dataio.dataio)
save_ndx_object() (speechbrain.processing.PLDA_LDA.Ndx method)
save_pkl() (in module speechbrain.dataio.dataio)
save_stat_object() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
SaveableDataLoader (class in speechbrain.dataio.dataloader)
SBConformerEncoderBlock (class in speechbrain.lobes.models.dual_path)
SBRNNBlock (class in speechbrain.lobes.models.dual_path)
SBTransformerBlock (class in speechbrain.lobes.models.dual_path)
Scores (class in speechbrain.processing.PLDA_LDA)
SEBlock (class in speechbrain.lobes.models.ECAPA_TDNN)
select_norm() (in module speechbrain.lobes.models.dual_path)
SEmodule (class in speechbrain.lobes.models.ContextNet)
SentencePiece (class in speechbrain.tokenizers.SentencePiece)
separate_batch() (speechbrain.pretrained.interfaces.SepformerSeparation method)
separate_file() (speechbrain.pretrained.interfaces.SepformerSeparation method)
SepformerSeparation (class in speechbrain.pretrained.interfaces)
SepformerWrapper (class in speechbrain.lobes.models.dual_path)
Sequential (class in speechbrain.nnet.containers)
SERes2NetBlock (class in speechbrain.lobes.models.ECAPA_TDNN)
set_collect_in() (speechbrain.utils.parameter_transfer.Pretrainer method)
set_default() (speechbrain.dataio.dataio.IterativeCSVWriter method)
set_epoch() (speechbrain.dataio.sampler.ConcatDatasetBatchSampler method)
(speechbrain.dataio.sampler.DistributedSamplerWrapper method)
(speechbrain.dataio.sampler.DynamicBatchSampler method)
(speechbrain.dataio.sampler.ReproducibleRandomSampler method)
(speechbrain.dataio.sampler.ReproducibleWeightedRandomSampler method)
set_output_keys() (in module speechbrain.dataio.dataset)
(speechbrain.dataio.dataset.DynamicItemDataset method)
(speechbrain.utils.data_pipeline.DataPipeline method)
setup_logging() (in module speechbrain.utils.logger)
shifted_sigmoid() (in module speechbrain.lobes.models.MetricGAN)
SincConv (class in speechbrain.nnet.CNN)
Softmax (class in speechbrain.nnet.activations)
SpeakerRecognition (class in speechbrain.pretrained.interfaces)
SpecAugment (class in speechbrain.lobes.augment)
spectral_magnitude() (in module speechbrain.processing.features)
spectral_phase() (in module speechbrain.processing.NMF)
SpectralMaskEnhancement (class in speechbrain.pretrained.interfaces)
speechbrain
module
speechbrain.alignment
module
speechbrain.alignment.aligner
module
speechbrain.core
module
speechbrain.dataio
module
speechbrain.dataio.batch
module
speechbrain.dataio.dataio
module
speechbrain.dataio.dataloader
module
speechbrain.dataio.dataset
module
speechbrain.dataio.encoder
module
speechbrain.dataio.legacy
module
speechbrain.dataio.preprocess
module
speechbrain.dataio.sampler
module
speechbrain.dataio.wer
module
speechbrain.decoders
module
speechbrain.decoders.ctc
module
speechbrain.decoders.seq2seq
module
speechbrain.decoders.transducer
module
speechbrain.lm
module
speechbrain.lm.arpa
module
speechbrain.lm.counting
module
speechbrain.lm.ngram
module
speechbrain.lobes
module
speechbrain.lobes.augment
module
speechbrain.lobes.features
module
speechbrain.lobes.models
module
speechbrain.lobes.models.ContextNet
module
speechbrain.lobes.models.conv_tasnet
module
speechbrain.lobes.models.convolution
module
speechbrain.lobes.models.CRDNN
module
speechbrain.lobes.models.dual_path
module
speechbrain.lobes.models.ECAPA_TDNN
module
speechbrain.lobes.models.ESPnetVGG
module
speechbrain.lobes.models.fairseq_wav2vec
module
speechbrain.lobes.models.huggingface_wav2vec
module
speechbrain.lobes.models.MetricGAN
module
speechbrain.lobes.models.RNNLM
module
speechbrain.lobes.models.transformer
module
speechbrain.lobes.models.transformer.conformer
module
speechbrain.lobes.models.transformer.Transformer
module
speechbrain.lobes.models.transformer.TransformerASR
module
speechbrain.lobes.models.transformer.TransformerLM
module
speechbrain.lobes.models.transformer.TransformerSE
module
speechbrain.lobes.models.VanillaNN
module
speechbrain.lobes.models.Xvector
module
speechbrain.nnet
module
speechbrain.nnet.activations
module
speechbrain.nnet.attention
module
speechbrain.nnet.CNN
module
speechbrain.nnet.complex_networks
module
speechbrain.nnet.complex_networks.c_CNN
module
speechbrain.nnet.complex_networks.c_linear
module
speechbrain.nnet.complex_networks.c_normalization
module
speechbrain.nnet.complex_networks.c_ops
module
speechbrain.nnet.complex_networks.c_RNN
module
speechbrain.nnet.containers
module
speechbrain.nnet.dropout
module
speechbrain.nnet.embedding
module
speechbrain.nnet.linear
module
speechbrain.nnet.loss
module
speechbrain.nnet.loss.stoi_loss
module
speechbrain.nnet.losses
module
speechbrain.nnet.normalization
module
speechbrain.nnet.pooling
module
speechbrain.nnet.quaternion_networks
module
speechbrain.nnet.quaternion_networks.q_CNN
module
speechbrain.nnet.quaternion_networks.q_linear
module
speechbrain.nnet.quaternion_networks.q_normalization
module
speechbrain.nnet.quaternion_networks.q_ops
module
speechbrain.nnet.quaternion_networks.q_RNN
module
speechbrain.nnet.RNN
module
speechbrain.nnet.schedulers
module
speechbrain.nnet.transducer
module
speechbrain.nnet.transducer.transducer_joint
module
speechbrain.pretrained
module
speechbrain.pretrained.fetching
module
speechbrain.pretrained.interfaces
module
speechbrain.processing
module
speechbrain.processing.decomposition
module
speechbrain.processing.features
module
speechbrain.processing.multi_mic
module
speechbrain.processing.NMF
module
speechbrain.processing.PLDA_LDA
module
speechbrain.processing.signal_processing
module
speechbrain.processing.speech_augmentation
module
speechbrain.tokenizers
module
speechbrain.tokenizers.SentencePiece
module
speechbrain.utils
module
speechbrain.utils.Accuracy
module
speechbrain.utils.callchains
module
speechbrain.utils.checkpoints
module
speechbrain.utils.data_pipeline
module
speechbrain.utils.data_utils
module
speechbrain.utils.depgraph
module
speechbrain.utils.DER
module
speechbrain.utils.distributed
module
speechbrain.utils.edit_distance
module
speechbrain.utils.epoch_loop
module
speechbrain.utils.logger
module
speechbrain.utils.metric_stats
module
speechbrain.utils.parameter_transfer
module
speechbrain.utils.superpowers
module
speechbrain.utils.torch_audio_backend
module
speechbrain.utils.train_logger
module
SpeedPerturb (class in speechbrain.processing.speech_augmentation)
sphere() (in module speechbrain.processing.multi_mic)
spk_dict_count (speechbrain.processing.features.InputNormalization attribute)
spk_dict_mean (speechbrain.processing.features.InputNormalization attribute)
spk_dict_std (speechbrain.processing.features.InputNormalization attribute)
split_by_whitespace() (in module speechbrain.utils.data_utils)
split_gate_inputs() (speechbrain.nnet.RNN.QuasiRNNLayer method)
split_list() (in module speechbrain.utils.data_utils)
split_path() (in module speechbrain.utils.data_utils)
(speechbrain.utils.parameter_transfer.Pretrainer static method)
split_word() (in module speechbrain.dataio.dataio)
SrpPhat (class in speechbrain.processing.multi_mic)
Stage (class in speechbrain.core)
StaticItem (class in speechbrain.utils.data_pipeline)
StatisticsPooling (class in speechbrain.nnet.pooling)
StatObject_SB (class in speechbrain.processing.PLDA_LDA)
steering() (in module speechbrain.processing.multi_mic)
StepScheduler (class in speechbrain.nnet.schedulers)
STFT (class in speechbrain.processing.features)
stoi_loss() (in module speechbrain.nnet.loss.stoi_loss)
store_alignments() (speechbrain.alignment.aligner.HMMAligner method)
stride (speechbrain.lobes.models.dual_path.Decoder attribute)
sum_stat_per_model() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
summarize() (speechbrain.utils.Accuracy.AccuracyStats method)
(speechbrain.utils.metric_stats.BinaryMetricStats method)
(speechbrain.utils.metric_stats.ErrorRateStats method)
(speechbrain.utils.metric_stats.MetricStats method)
svdl() (in module speechbrain.processing.decomposition)
Swish (class in speechbrain.nnet.activations)
T
takes() (in module speechbrain.utils.data_pipeline)
takes_decorator() (in module speechbrain.utils.data_pipeline)
TDNNBlock (class in speechbrain.lobes.models.ECAPA_TDNN)
tdoas2taus() (in module speechbrain.processing.multi_mic)
TemporalBlock (class in speechbrain.lobes.models.conv_tasnet)
TemporalBlocksSequential (class in speechbrain.lobes.models.conv_tasnet)
TensorboardLogger (class in speechbrain.utils.train_logger)
TEST (speechbrain.core.Stage attribute)
TestThing (class in hyperpyyaml)
TextEncoder (class in speechbrain.dataio.encoder)
thirdoct() (in module speechbrain.nnet.loss.stoi_loss)
time_warp() (speechbrain.lobes.augment.SpecAugment method)
TimeDomainSpecAugment (class in speechbrain.lobes.augment)
timeout (speechbrain.dataio.dataloader.SaveableDataLoader attribute)
to() (speechbrain.dataio.batch.PaddedBatch method)
to_doubleTensor() (in module speechbrain.dataio.dataio)
to_floatTensor() (in module speechbrain.dataio.dataio)
to_longTensor() (in module speechbrain.dataio.dataio)
to_yaml() (hyperpyyaml.core.Placeholder class method)
(hyperpyyaml.core.RefTag class method)
top_wer_spks() (in module speechbrain.utils.edit_distance)
top_wer_utts() (in module speechbrain.utils.edit_distance)
torch_parameter_transfer() (in module speechbrain.utils.checkpoints)
torch_recovery() (in module speechbrain.utils.checkpoints)
torch_save() (in module speechbrain.utils.checkpoints)
TqdmCompatibleStreamHandler (class in speechbrain.utils.logger)
TRAIN (speechbrain.core.Stage attribute)
training (speechbrain.alignment.aligner.HMMAligner attribute)
(speechbrain.decoders.seq2seq.S2SBaseSearcher attribute)
(speechbrain.decoders.seq2seq.S2SBeamSearcher attribute)
(speechbrain.decoders.seq2seq.S2SGreedySearcher attribute)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearcher attribute)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchLM attribute)
(speechbrain.decoders.seq2seq.S2SRNNBeamSearchTransformerLM attribute)
(speechbrain.decoders.seq2seq.S2SRNNGreedySearcher attribute)
(speechbrain.decoders.seq2seq.S2STransformerBeamSearch attribute)
(speechbrain.decoders.transducer.TransducerBeamSearcher attribute)
(speechbrain.lobes.augment.EnvCorrupt attribute)
(speechbrain.lobes.augment.SpecAugment attribute)
(speechbrain.lobes.augment.TimeDomainSpecAugment attribute)
(speechbrain.lobes.features.Fbank attribute)
(speechbrain.lobes.features.MFCC attribute)
(speechbrain.lobes.models.ContextNet.ContextNet attribute)
(speechbrain.lobes.models.ContextNet.ContextNetBlock attribute)
(speechbrain.lobes.models.ContextNet.SEmodule attribute)
(speechbrain.lobes.models.conv_tasnet.ChannelwiseLayerNorm attribute)
(speechbrain.lobes.models.conv_tasnet.Chomp1d attribute)
(speechbrain.lobes.models.conv_tasnet.Decoder attribute)
(speechbrain.lobes.models.conv_tasnet.DepthwiseSeparableConv attribute)
(speechbrain.lobes.models.conv_tasnet.Encoder attribute)
(speechbrain.lobes.models.conv_tasnet.GlobalLayerNorm attribute)
(speechbrain.lobes.models.conv_tasnet.MaskNet attribute)
(speechbrain.lobes.models.conv_tasnet.TemporalBlock attribute)
(speechbrain.lobes.models.conv_tasnet.TemporalBlocksSequential attribute)
(speechbrain.lobes.models.convolution.ConvBlock attribute)
(speechbrain.lobes.models.convolution.ConvolutionFrontEnd attribute)
(speechbrain.lobes.models.CRDNN.CNN_Block attribute)
(speechbrain.lobes.models.CRDNN.CRDNN attribute)
(speechbrain.lobes.models.CRDNN.DNN_Block attribute)
(speechbrain.lobes.models.dual_path.DPTNetBlock attribute)
(speechbrain.lobes.models.dual_path.Dual_Computation_Block attribute)
(speechbrain.lobes.models.dual_path.Dual_Path_Model attribute)
(speechbrain.lobes.models.dual_path.Encoder attribute)
(speechbrain.lobes.models.dual_path.FastTransformerBlock attribute)
(speechbrain.lobes.models.dual_path.GlobalLayerNorm attribute)
(speechbrain.lobes.models.dual_path.PyTorchPositionalEncoding attribute)
(speechbrain.lobes.models.dual_path.PytorchTransformerBlock attribute)
(speechbrain.lobes.models.dual_path.SBConformerEncoderBlock attribute)
(speechbrain.lobes.models.dual_path.SBRNNBlock attribute)
(speechbrain.lobes.models.dual_path.SBTransformerBlock attribute)
(speechbrain.lobes.models.dual_path.SepformerWrapper attribute)
(speechbrain.lobes.models.ECAPA_TDNN.AttentiveStatisticsPooling attribute)
(speechbrain.lobes.models.ECAPA_TDNN.BatchNorm1d attribute)
(speechbrain.lobes.models.ECAPA_TDNN.Classifier attribute)
(speechbrain.lobes.models.ECAPA_TDNN.Conv1d attribute)
(speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN attribute)
(speechbrain.lobes.models.ECAPA_TDNN.Res2NetBlock attribute)
(speechbrain.lobes.models.ECAPA_TDNN.SEBlock attribute)
(speechbrain.lobes.models.ECAPA_TDNN.SERes2NetBlock attribute)
(speechbrain.lobes.models.ECAPA_TDNN.TDNNBlock attribute)
(speechbrain.lobes.models.ESPnetVGG.ESPnetVGG attribute)
(speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec1 attribute)
(speechbrain.lobes.models.fairseq_wav2vec.FairseqWav2Vec2 attribute)
(speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2 attribute)
(speechbrain.lobes.models.MetricGAN.EnhancementGenerator attribute)
(speechbrain.lobes.models.MetricGAN.Learnable_sigmoid attribute)
(speechbrain.lobes.models.MetricGAN.MetricDiscriminator attribute)
(speechbrain.lobes.models.RNNLM.RNNLM attribute)
(speechbrain.lobes.models.transformer.conformer.ConformerEncoder attribute)
(speechbrain.lobes.models.transformer.conformer.ConformerEncoderLayer attribute)
(speechbrain.lobes.models.transformer.conformer.ConvolutionModule attribute)
(speechbrain.lobes.models.transformer.Transformer.NormalizedEmbedding attribute)
(speechbrain.lobes.models.transformer.Transformer.PositionalEncoding attribute)
(speechbrain.lobes.models.transformer.Transformer.TransformerDecoder attribute)
(speechbrain.lobes.models.transformer.Transformer.TransformerDecoderLayer attribute)
(speechbrain.lobes.models.transformer.Transformer.TransformerEncoder attribute)
(speechbrain.lobes.models.transformer.Transformer.TransformerEncoderLayer attribute)
(speechbrain.lobes.models.transformer.Transformer.TransformerInterface attribute)
(speechbrain.lobes.models.transformer.TransformerASR.EncoderWrapper attribute)
(speechbrain.lobes.models.transformer.TransformerASR.TransformerASR attribute)
(speechbrain.lobes.models.transformer.TransformerLM.TransformerLM attribute)
(speechbrain.lobes.models.transformer.TransformerSE.CNNTransformerSE attribute)
(speechbrain.lobes.models.VanillaNN.VanillaNN attribute)
(speechbrain.lobes.models.Xvector.Classifier attribute)
(speechbrain.lobes.models.Xvector.Discriminator attribute)
(speechbrain.lobes.models.Xvector.Xvector attribute)
(speechbrain.nnet.activations.GumbelSoftmax attribute)
(speechbrain.nnet.activations.Softmax attribute)
(speechbrain.nnet.activations.Swish attribute)
(speechbrain.nnet.attention.ContentBasedAttention attribute)
(speechbrain.nnet.attention.KeyValueAttention attribute)
(speechbrain.nnet.attention.MultiheadAttention attribute)
(speechbrain.nnet.attention.PositionalwiseFeedForward attribute)
(speechbrain.nnet.CNN.Conv1d attribute)
(speechbrain.nnet.CNN.Conv2d attribute)
(speechbrain.nnet.CNN.ConvTranspose1d attribute)
(speechbrain.nnet.CNN.DepthwiseSeparableConv1d attribute)
(speechbrain.nnet.CNN.DepthwiseSeparableConv2d attribute)
(speechbrain.nnet.CNN.SincConv attribute)
(speechbrain.nnet.complex_networks.c_CNN.CConv1d attribute)
(speechbrain.nnet.complex_networks.c_CNN.CConv2d attribute)
(speechbrain.nnet.complex_networks.c_linear.CLinear attribute)
(speechbrain.nnet.complex_networks.c_normalization.CBatchNorm attribute)
(speechbrain.nnet.complex_networks.c_normalization.CLayerNorm attribute)
(speechbrain.nnet.complex_networks.c_RNN.CLiGRU attribute)
(speechbrain.nnet.complex_networks.c_RNN.CLiGRU_Layer attribute)
(speechbrain.nnet.complex_networks.c_RNN.CLSTM attribute)
(speechbrain.nnet.complex_networks.c_RNN.CLSTM_Layer attribute)
(speechbrain.nnet.complex_networks.c_RNN.CRNN attribute)
(speechbrain.nnet.complex_networks.c_RNN.CRNN_Layer attribute)
(speechbrain.nnet.containers.ConnectBlocks attribute)
(speechbrain.nnet.containers.LengthsCapableSequential attribute)
(speechbrain.nnet.containers.ModuleList attribute)
(speechbrain.nnet.containers.Sequential attribute)
(speechbrain.nnet.dropout.Dropout2d attribute)
(speechbrain.nnet.embedding.Embedding attribute)
(speechbrain.nnet.linear.Linear attribute)
(speechbrain.nnet.losses.AdditiveAngularMargin attribute)
(speechbrain.nnet.losses.AngularMargin attribute)
(speechbrain.nnet.losses.LogSoftmaxWrapper attribute)
(speechbrain.nnet.losses.PitWrapper attribute)
(speechbrain.nnet.normalization.BatchNorm1d attribute)
(speechbrain.nnet.normalization.BatchNorm2d attribute)
(speechbrain.nnet.normalization.InstanceNorm1d attribute)
(speechbrain.nnet.normalization.InstanceNorm2d attribute)
(speechbrain.nnet.normalization.LayerNorm attribute)
(speechbrain.nnet.pooling.AdaptivePool attribute)
(speechbrain.nnet.pooling.Pooling1d attribute)
(speechbrain.nnet.pooling.Pooling2d attribute)
(speechbrain.nnet.pooling.StatisticsPooling attribute)
(speechbrain.nnet.quaternion_networks.q_CNN.QConv1d attribute)
(speechbrain.nnet.quaternion_networks.q_CNN.QConv2d attribute)
(speechbrain.nnet.quaternion_networks.q_linear.QLinear attribute)
(speechbrain.nnet.quaternion_networks.q_normalization.QBatchNorm attribute)
(speechbrain.nnet.quaternion_networks.q_RNN.QLiGRU attribute)
(speechbrain.nnet.quaternion_networks.q_RNN.QLiGRU_Layer attribute)
(speechbrain.nnet.quaternion_networks.q_RNN.QLSTM attribute)
(speechbrain.nnet.quaternion_networks.q_RNN.QLSTM_Layer attribute)
(speechbrain.nnet.quaternion_networks.q_RNN.QRNN attribute)
(speechbrain.nnet.quaternion_networks.q_RNN.QRNN_Layer attribute)
(speechbrain.nnet.RNN.AttentionalRNNDecoder attribute)
(speechbrain.nnet.RNN.GRU attribute)
(speechbrain.nnet.RNN.GRUCell attribute)
(speechbrain.nnet.RNN.LiGRU attribute)
(speechbrain.nnet.RNN.LiGRU_Layer attribute)
(speechbrain.nnet.RNN.LSTM attribute)
(speechbrain.nnet.RNN.LSTMCell attribute)
(speechbrain.nnet.RNN.QuasiRNN attribute)
(speechbrain.nnet.RNN.QuasiRNNLayer attribute)
(speechbrain.nnet.RNN.RNN attribute)
(speechbrain.nnet.RNN.RNNCell attribute)
(speechbrain.nnet.transducer.transducer_joint.Transducer_joint attribute)
(speechbrain.processing.features.ContextWindow attribute)
(speechbrain.processing.features.DCT attribute)
(speechbrain.processing.features.Deltas attribute)
(speechbrain.processing.features.Filterbank attribute)
(speechbrain.processing.features.ISTFT attribute)
(speechbrain.processing.features.STFT attribute)
(speechbrain.processing.multi_mic.Covariance attribute)
(speechbrain.processing.multi_mic.DelaySum attribute)
(speechbrain.processing.multi_mic.GccPhat attribute)
(speechbrain.processing.multi_mic.Gev attribute)
(speechbrain.processing.multi_mic.Music attribute)
(speechbrain.processing.multi_mic.Mvdr attribute)
(speechbrain.processing.multi_mic.SrpPhat attribute)
(speechbrain.processing.speech_augmentation.AddBabble attribute)
(speechbrain.processing.speech_augmentation.AddNoise attribute)
(speechbrain.processing.speech_augmentation.AddReverb attribute)
(speechbrain.processing.speech_augmentation.DoClip attribute)
(speechbrain.processing.speech_augmentation.DropChunk attribute)
(speechbrain.processing.speech_augmentation.DropFreq attribute)
(speechbrain.processing.speech_augmentation.Resample attribute)
(speechbrain.processing.speech_augmentation.SpeedPerturb attribute)
TrainLogger (class in speechbrain.utils.train_logger)
transcribe_batch() (speechbrain.pretrained.interfaces.EncoderDecoderASR method)
transcribe_file() (speechbrain.pretrained.interfaces.EncoderDecoderASR method)
transducer_beam_search_decode() (speechbrain.decoders.transducer.TransducerBeamSearcher method)
transducer_greedy_decode() (speechbrain.decoders.transducer.TransducerBeamSearcher method)
Transducer_joint (class in speechbrain.nnet.transducer.transducer_joint)
transducer_loss() (in module speechbrain.nnet.losses)
TransducerBeamSearcher (class in speechbrain.decoders.transducer)
TransformerASR (class in speechbrain.lobes.models.transformer.TransformerASR)
TransformerDecoder (class in speechbrain.lobes.models.transformer.Transformer)
TransformerDecoderLayer (class in speechbrain.lobes.models.transformer.Transformer)
TransformerEncoder (class in speechbrain.lobes.models.transformer.Transformer)
TransformerEncoderLayer (class in speechbrain.lobes.models.transformer.Transformer)
TransformerInterface (class in speechbrain.lobes.models.transformer.Transformer)
TransformerLM (class in speechbrain.lobes.models.transformer.TransformerLM)
transposed (speechbrain.lobes.models.dual_path.Decoder attribute)
truncate() (in module speechbrain.nnet.losses)
U
undo_padding() (in module speechbrain.utils.data_utils)
unitary_init() (in module speechbrain.nnet.complex_networks.c_ops)
(in module speechbrain.nnet.quaternion_networks.q_ops)
update_average() (speechbrain.core.Brain method)
update_from_didataset() (speechbrain.dataio.encoder.CategoricalEncoder method)
(speechbrain.dataio.encoder.TextEncoder method)
update_from_iterable() (speechbrain.dataio.encoder.CategoricalEncoder method)
(speechbrain.dataio.encoder.TextEncoder method)
update_learning_rate() (in module speechbrain.nnet.schedulers)
use_lexicon() (speechbrain.alignment.aligner.HMMAligner method)
V
VALID (speechbrain.core.Stage attribute)
validate() (speechbrain.processing.PLDA_LDA.Ndx method)
VALUE_SEPARATOR (speechbrain.dataio.encoder.CategoricalEncoder attribute)
VanillaNN (class in speechbrain.lobes.models.VanillaNN)
verify_batch() (speechbrain.pretrained.interfaces.SpeakerRecognition method)
verify_files() (speechbrain.pretrained.interfaces.SpeakerRecognition method)
W
weight (speechbrain.lobes.models.dual_path.Decoder attribute)
weights (speechbrain.dataio.sampler.ReproducibleWeightedRandomSampler attribute)
wer_details_by_speaker() (in module speechbrain.utils.edit_distance)
wer_details_by_utterance() (in module speechbrain.utils.edit_distance)
wer_details_for_batch() (in module speechbrain.utils.edit_distance)
wer_summary() (in module speechbrain.utils.edit_distance)
whiten_stat1() (speechbrain.processing.PLDA_LDA.StatObject_SB method)
write() (speechbrain.dataio.dataio.IterativeCSVWriter method)
write_audio() (in module speechbrain.dataio.dataio)
write_batch() (speechbrain.dataio.dataio.IterativeCSVWriter method)
write_stats() (speechbrain.utils.metric_stats.ErrorRateStats method)
(speechbrain.utils.metric_stats.MetricStats method)
write_stdout() (in module speechbrain.dataio.dataio)
write_txt_file() (in module speechbrain.dataio.dataio)
X
xavier_init_layer() (in module speechbrain.lobes.models.MetricGAN)
Xvector (class in speechbrain.lobes.models.Xvector)
Y
yaml_tag (hyperpyyaml.core.Placeholder attribute)
(hyperpyyaml.core.RefTag attribute)
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