ESPnet
0.5.2
Tutorial:
Outline
Installation
Execution of example scripts
Demonstration using pretrained models
Installation using Docker
References
Notebook:
Speech Recognition (Recipe)
Speech Recognition (Library)
Text-to-Speech (Recipe)
Pretrained Model
Package Reference:
espnet.asr package
espnet.bin package
espnet.lm package
espnet.mt package
espnet.nets package
espnet.transform package
espnet.tts package
espnet.utils package
Tool Reference:
core tools
python utility tools
bash utility tools
ESPnet
Docs
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Index
Index
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A
accept_input() (espnet.nets.pytorch_backend.streaming.segment.SegmentStreamingE2E method)
(espnet.nets.pytorch_backend.streaming.window.WindowStreamingE2E method)
adadelta_eps_decay() (in module espnet.asr.asr_utils)
add_arguments() (espnet.lm.chainer_backend.lm.DefaultRNNLM static method)
(espnet.nets.asr_interface.ASRInterface static method)
(espnet.nets.chainer_backend.e2e_asr.E2E static method)
(espnet.nets.chainer_backend.e2e_asr_transformer.E2E static method)
(espnet.nets.lm_interface.LMInterface static method)
(espnet.nets.mt_interface.MTInterface static method)
(espnet.nets.pytorch_backend.e2e_asr.E2E static method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E static method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E static method)
(espnet.nets.pytorch_backend.e2e_tts_fastspeech.FeedForwardTransformer static method)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.Tacotron2 static method)
(espnet.nets.pytorch_backend.e2e_tts_transformer.Transformer static method)
(espnet.nets.pytorch_backend.lm.default.DefaultRNNLM static method)
(espnet.nets.pytorch_backend.lm.seq_rnn.SequentialRNNLM static method)
(espnet.nets.pytorch_backend.lm.transformer.TransformerLM static method)
(espnet.nets.tts_interface.TTSInterface static method)
(espnet.transform.functional.FuncTrans class method)
(espnet.transform.transform_interface.TransformInterface class method)
add_deltas() (in module espnet.transform.add_deltas)
add_gradient_noise() (in module espnet.asr.asr_utils)
add_results_to_json() (in module espnet.asr.asr_mix_utils)
(in module espnet.asr.asr_utils)
(in module espnet.mt.mt_utils)
add_sos_eos() (espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
AddDeltas (class in espnet.transform.add_deltas)
append_token() (espnet.nets.beam_search.BeamSearch static method)
apply_beamforming_vector() (in module espnet.nets.pytorch_backend.frontends.beamformer)
apply_interpolation() (in module espnet.utils.spec_augment)
argmax() (espnet.nets.chainer_backend.ctc.WarpCTC method)
(espnet.nets.pytorch_backend.ctc.CTC method)
asdict() (espnet.nets.beam_search.Hypothesis method)
ASRInterface (class in espnet.nets.asr_interface)
assert_scipy_wav_style() (in module espnet.utils.cli_utils)
att_for() (in module espnet.nets.chainer_backend.rnn.attentions)
(in module espnet.nets.pytorch_backend.rnn.attentions)
att_to_numpy() (in module espnet.nets.pytorch_backend.rnn.attentions)
AttAdd (class in espnet.nets.pytorch_backend.rnn.attentions)
AttCov (class in espnet.nets.pytorch_backend.rnn.attentions)
AttCovLoc (class in espnet.nets.pytorch_backend.rnn.attentions)
AttDot (class in espnet.nets.chainer_backend.rnn.attentions)
(class in espnet.nets.pytorch_backend.rnn.attentions)
attention_add_arguments() (espnet.nets.pytorch_backend.e2e_asr.E2E static method)
attention_plot_class() (espnet.nets.asr_interface.ASRInterface property)
(espnet.nets.chainer_backend.e2e_asr_transformer.E2E property)
(espnet.nets.mt_interface.MTInterface property)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E property)
(espnet.nets.pytorch_backend.e2e_tts_fastspeech.FeedForwardTransformer property)
(espnet.nets.pytorch_backend.e2e_tts_transformer.Transformer property)
(espnet.nets.tts_interface.TTSInterface property)
AttentionReference (class in espnet.nets.pytorch_backend.frontends.dnn_beamformer)
AttForward (class in espnet.nets.pytorch_backend.rnn.attentions)
AttForwardTA (class in espnet.nets.pytorch_backend.rnn.attentions)
AttLoc (class in espnet.nets.chainer_backend.rnn.attentions)
(class in espnet.nets.pytorch_backend.rnn.attentions)
AttLoc2D (class in espnet.nets.pytorch_backend.rnn.attentions)
AttLocRec (class in espnet.nets.pytorch_backend.rnn.attentions)
AttMultiHeadAdd (class in espnet.nets.pytorch_backend.rnn.attentions)
AttMultiHeadDot (class in espnet.nets.pytorch_backend.rnn.attentions)
AttMultiHeadLoc (class in espnet.nets.pytorch_backend.rnn.attentions)
AttMultiHeadMultiResLoc (class in espnet.nets.pytorch_backend.rnn.attentions)
B
backward() (espnet.nets.chainer_backend.deterministic_embed_id.EmbedIDFunction method)
(espnet.nets.chainer_backend.deterministic_embed_id.EmbedIDGrad method)
BandpassPerturbation (class in espnet.transform.perturb)
base_plot_keys() (espnet.nets.pytorch_backend.e2e_tts_fastspeech.FeedForwardTransformer property)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.Tacotron2 property)
(espnet.nets.pytorch_backend.e2e_tts_transformer.Transformer property)
(espnet.nets.tts_interface.TTSInterface property)
BaseEvaluator (class in espnet.utils.training.evaluator)
BaseWriter (class in espnet.utils.cli_writers)
batchfy_by_bin() (in module espnet.utils.training.batchfy)
batchfy_by_frame() (in module espnet.utils.training.batchfy)
batchfy_by_seq() (in module espnet.utils.training.batchfy)
batchfy_shuffle() (in module espnet.utils.training.batchfy)
beam_search() (in module espnet.nets.beam_search)
BeamSearch (class in espnet.nets.beam_search)
BPTTUpdater (class in espnet.lm.chainer_backend.lm)
(class in espnet.lm.pytorch_backend.lm)
buff_predict() (espnet.nets.pytorch_backend.lm.default.ClassifierWithState method)
build() (espnet.nets.asr_interface.ASRInterface class method)
C
calculate_all_attentions() (espnet.nets.asr_interface.ASRInterface method)
(espnet.nets.chainer_backend.e2e_asr.E2E method)
(espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
(espnet.nets.chainer_backend.rnn.decoders.Decoder method)
(espnet.nets.mt_interface.MTInterface method)
(espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_mix.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
(espnet.nets.pytorch_backend.e2e_mt.E2E method)
(espnet.nets.pytorch_backend.e2e_tts_fastspeech.FeedForwardTransformer method)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.Tacotron2 method)
(espnet.nets.pytorch_backend.e2e_tts_transformer.Transformer method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
(espnet.nets.pytorch_backend.tacotron2.decoder.Decoder method)
(espnet.nets.tts_interface.TTSInterface method)
calculate_cer() (espnet.nets.e2e_asr_common.ErrorCalculator method)
calculate_cer_ctc() (espnet.nets.e2e_asr_common.ErrorCalculator method)
calculate_wer() (espnet.nets.e2e_asr_common.ErrorCalculator method)
CausalConv1d (class in espnet.nets.pytorch_backend.wavenet)
CBHG (class in espnet.nets.pytorch_backend.tacotron2.cbhg)
CBHGLoss (class in espnet.nets.pytorch_backend.tacotron2.cbhg)
chainer_load() (in module espnet.asr.asr_utils)
ChannelSelector (class in espnet.transform.channel_selector)
check_early_stop() (in module espnet.utils.training.train_utils)
check_kwargs() (in module espnet.utils.check_kwargs)
check_type_forward() (espnet.nets.chainer_backend.deterministic_embed_id.EmbedIDFunction method)
ClassifierWithState (class in espnet.lm.chainer_backend.lm)
(class in espnet.nets.pytorch_backend.lm.default)
close() (espnet.utils.cli_writers.BaseWriter method)
(espnet.utils.io_utils.SoundHDF5File method)
CMVN (class in espnet.transform.cmvn)
CompareValueTrigger (class in espnet.asr.asr_utils)
compute_perplexity() (in module espnet.lm.lm_utils)
(in module espnet.lm.pytorch_backend.lm)
concat_examples() (in module espnet.lm.pytorch_backend.lm)
Conv2dSubsampling (class in espnet.nets.chainer_backend.transformer.subsampling)
(class in espnet.nets.pytorch_backend.transformer.subsampling)
convert_to_char() (espnet.nets.e2e_asr_common.ErrorCalculator method)
count_tokens() (in module espnet.lm.lm_utils)
create_dataset() (espnet.utils.io_utils.SoundHDF5File method)
create_dense_flows() (in module espnet.utils.spec_augment)
cross_squared_distance_matrix() (in module espnet.utils.spec_augment)
CTC (class in espnet.nets.chainer_backend.ctc)
(class in espnet.nets.pytorch_backend.ctc)
ctc_for() (in module espnet.nets.chainer_backend.ctc)
(in module espnet.nets.pytorch_backend.ctc)
CTCPrefixScore (class in espnet.nets.ctc_prefix_score)
CTCPrefixScorer (class in espnet.nets.scorers.ctc)
CTCPrefixScoreTH (class in espnet.nets.ctc_prefix_score)
CustomConverter (class in espnet.asr.pytorch_backend.asr)
(class in espnet.mt.pytorch_backend.mt)
(class in espnet.nets.chainer_backend.rnn.training)
(class in espnet.nets.chainer_backend.transformer.training)
(class in espnet.tts.pytorch_backend.tts)
CustomEvaluator (class in espnet.asr.pytorch_backend.asr)
(class in espnet.tts.pytorch_backend.tts)
CustomParallelUpdater (class in espnet.nets.chainer_backend.rnn.training)
(class in espnet.nets.chainer_backend.transformer.training)
CustomUpdater (class in espnet.asr.pytorch_backend.asr)
(class in espnet.nets.chainer_backend.rnn.training)
(class in espnet.nets.chainer_backend.transformer.training)
(class in espnet.tts.pytorch_backend.tts)
D
decode() (in module espnet.tts.pytorch_backend.tts)
decode_mu_law() (in module espnet.nets.pytorch_backend.wavenet)
decode_with_attention_offline() (espnet.nets.pytorch_backend.streaming.window.WindowStreamingE2E method)
Decoder (class in espnet.nets.chainer_backend.rnn.decoders)
(class in espnet.nets.chainer_backend.transformer.decoder)
(class in espnet.nets.pytorch_backend.rnn.decoders)
(class in espnet.nets.pytorch_backend.tacotron2.decoder)
(class in espnet.nets.pytorch_backend.transformer.decoder)
decoder_add_arguments() (espnet.nets.pytorch_backend.e2e_asr.E2E static method)
decoder_for() (in module espnet.nets.chainer_backend.rnn.decoders)
(in module espnet.nets.pytorch_backend.rnn.decoders)
(in module espnet.nets.pytorch_backend.rnn.decoders_transducer)
decoder_init() (in module espnet.nets.pytorch_backend.tacotron2.decoder)
DecoderLayer (class in espnet.nets.chainer_backend.transformer.decoder_layer)
(class in espnet.nets.pytorch_backend.transformer.decoder_layer)
DecoderRNNT (class in espnet.nets.pytorch_backend.rnn.decoders_transducer)
DecoderRNNTAtt (class in espnet.nets.pytorch_backend.rnn.decoders_transducer)
default_name (espnet.utils.training.tensorboard_logger.TensorboardLogger attribute)
default_params() (espnet.transform.functional.FuncTrans class method)
DefaultRNNLM (class in espnet.lm.chainer_backend.lm)
(class in espnet.nets.pytorch_backend.lm.default)
delta() (in module espnet.transform.add_deltas)
dense_image_warp() (in module espnet.utils.spec_augment)
DNN_Beamformer (class in espnet.nets.pytorch_backend.frontends.dnn_beamformer)
DNN_WPE (class in espnet.nets.pytorch_backend.frontends.dnn_wpe)
draw_attention_plot() (espnet.asr.asr_mix_utils.PlotAttentionReport method)
(espnet.asr.asr_utils.PlotAttentionReport method)
DurationCalculator (class in espnet.nets.pytorch_backend.fastspeech.duration_calculator)
DurationPredictor (class in espnet.nets.pytorch_backend.fastspeech.duration_predictor)
DurationPredictorLoss (class in espnet.nets.pytorch_backend.fastspeech.duration_predictor)
dynamic_import() (in module espnet.utils.dynamic_import)
dynamic_import_asr() (in module espnet.nets.asr_interface)
dynamic_import_lm() (in module espnet.nets.lm_interface)
E
E2E (class in espnet.nets.chainer_backend.e2e_asr)
(class in espnet.nets.chainer_backend.e2e_asr_transformer)
(class in espnet.nets.pytorch_backend.e2e_asr)
(class in espnet.nets.pytorch_backend.e2e_asr_mix)
(class in espnet.nets.pytorch_backend.e2e_asr_transducer)
(class in espnet.nets.pytorch_backend.e2e_asr_transformer)
(class in espnet.nets.pytorch_backend.e2e_mt)
embed_id() (in module espnet.nets.chainer_backend.deterministic_embed_id)
EmbedID (class in espnet.nets.chainer_backend.deterministic_embed_id)
EmbedIDFunction (class in espnet.nets.chainer_backend.deterministic_embed_id)
EmbedIDGrad (class in espnet.nets.chainer_backend.deterministic_embed_id)
encode() (espnet.nets.asr_interface.ASRInterface method)
(espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
encode_mu_law() (in module espnet.nets.pytorch_backend.wavenet)
Encoder (class in espnet.nets.chainer_backend.rnn.encoders)
(class in espnet.nets.chainer_backend.transformer.encoder)
(class in espnet.nets.pytorch_backend.e2e_asr_mix)
(class in espnet.nets.pytorch_backend.rnn.encoders)
(class in espnet.nets.pytorch_backend.tacotron2.encoder)
(class in espnet.nets.pytorch_backend.transformer.encoder)
encoder_add_arguments() (espnet.nets.pytorch_backend.e2e_asr.E2E static method)
encoder_for() (in module espnet.nets.chainer_backend.rnn.encoders)
(in module espnet.nets.pytorch_backend.e2e_asr_mix)
(in module espnet.nets.pytorch_backend.rnn.encoders)
encoder_init() (in module espnet.nets.pytorch_backend.tacotron2.encoder)
EncoderLayer (class in espnet.nets.chainer_backend.transformer.encoder_layer)
(class in espnet.nets.pytorch_backend.transformer.encoder_layer)
end_detect() (in module espnet.nets.e2e_asr_common)
enhance() (espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E method)
(in module espnet.asr.pytorch_backend.asr)
epoch_detail() (espnet.lm.lm_utils.ParallelSentenceIterator property)
ErrorCalculator (class in espnet.nets.e2e_asr_common)
espnet.asr.asr_mix_utils (module)
espnet.asr.asr_utils (module)
espnet.asr.chainer_backend.asr (module)
espnet.asr.pytorch_backend.asr (module)
espnet.asr.pytorch_backend.asr_init (module)
espnet.asr.pytorch_backend.recog (module)
espnet.bin.asr_enhance (module)
espnet.bin.asr_recog (module)
espnet.bin.asr_train (module)
espnet.bin.lm_train (module)
espnet.bin.mt_recog (module)
espnet.bin.mt_train (module)
espnet.bin.tts_decode (module)
espnet.bin.tts_train (module)
espnet.lm.chainer_backend.extlm (module)
espnet.lm.chainer_backend.lm (module)
espnet.lm.lm_utils (module)
espnet.lm.pytorch_backend.extlm (module)
espnet.lm.pytorch_backend.lm (module)
espnet.mt.mt_utils (module)
espnet.mt.pytorch_backend.mt (module)
espnet.nets.asr_interface (module)
espnet.nets.beam_search (module)
espnet.nets.chainer_backend.ctc (module)
espnet.nets.chainer_backend.deterministic_embed_id (module)
espnet.nets.chainer_backend.e2e_asr (module)
espnet.nets.chainer_backend.e2e_asr_transformer (module)
espnet.nets.chainer_backend.nets_utils (module)
espnet.nets.chainer_backend.rnn.attentions (module)
espnet.nets.chainer_backend.rnn.decoders (module)
espnet.nets.chainer_backend.rnn.encoders (module)
espnet.nets.chainer_backend.rnn.training (module)
espnet.nets.chainer_backend.transformer.attention (module)
espnet.nets.chainer_backend.transformer.decoder (module)
espnet.nets.chainer_backend.transformer.decoder_layer (module)
espnet.nets.chainer_backend.transformer.embedding (module)
espnet.nets.chainer_backend.transformer.encoder (module)
espnet.nets.chainer_backend.transformer.encoder_layer (module)
espnet.nets.chainer_backend.transformer.label_smoothing_loss (module)
espnet.nets.chainer_backend.transformer.layer_norm (module)
espnet.nets.chainer_backend.transformer.plot (module)
espnet.nets.chainer_backend.transformer.positionwise_feed_forward (module)
espnet.nets.chainer_backend.transformer.subsampling (module)
espnet.nets.chainer_backend.transformer.training (module)
espnet.nets.ctc_prefix_score (module)
espnet.nets.e2e_asr_common (module)
espnet.nets.lm_interface (module)
espnet.nets.mt_interface (module)
espnet.nets.pytorch_backend.ctc (module)
espnet.nets.pytorch_backend.e2e_asr (module)
espnet.nets.pytorch_backend.e2e_asr_mix (module)
espnet.nets.pytorch_backend.e2e_asr_transducer (module)
espnet.nets.pytorch_backend.e2e_asr_transformer (module)
espnet.nets.pytorch_backend.e2e_mt (module)
espnet.nets.pytorch_backend.e2e_tts_fastspeech (module)
espnet.nets.pytorch_backend.e2e_tts_tacotron2 (module)
espnet.nets.pytorch_backend.e2e_tts_transformer (module)
espnet.nets.pytorch_backend.fastspeech.duration_calculator (module)
espnet.nets.pytorch_backend.fastspeech.duration_predictor (module)
espnet.nets.pytorch_backend.fastspeech.length_regulator (module)
espnet.nets.pytorch_backend.frontends.beamformer (module)
espnet.nets.pytorch_backend.frontends.dnn_beamformer (module)
espnet.nets.pytorch_backend.frontends.dnn_wpe (module)
espnet.nets.pytorch_backend.frontends.feature_transform (module)
espnet.nets.pytorch_backend.frontends.frontend (module)
espnet.nets.pytorch_backend.frontends.mask_estimator (module)
espnet.nets.pytorch_backend.lm.default (module)
espnet.nets.pytorch_backend.lm.seq_rnn (module)
espnet.nets.pytorch_backend.lm.transformer (module)
espnet.nets.pytorch_backend.nets_utils (module)
espnet.nets.pytorch_backend.rnn.attentions (module)
espnet.nets.pytorch_backend.rnn.decoders (module)
espnet.nets.pytorch_backend.rnn.decoders_transducer (module)
espnet.nets.pytorch_backend.rnn.encoders (module)
espnet.nets.pytorch_backend.streaming.segment (module)
espnet.nets.pytorch_backend.streaming.window (module)
espnet.nets.pytorch_backend.tacotron2.cbhg (module)
espnet.nets.pytorch_backend.tacotron2.decoder (module)
espnet.nets.pytorch_backend.tacotron2.encoder (module)
espnet.nets.pytorch_backend.transformer.attention (module)
espnet.nets.pytorch_backend.transformer.decoder (module)
espnet.nets.pytorch_backend.transformer.decoder_layer (module)
espnet.nets.pytorch_backend.transformer.embedding (module)
espnet.nets.pytorch_backend.transformer.encoder (module)
espnet.nets.pytorch_backend.transformer.encoder_layer (module)
espnet.nets.pytorch_backend.transformer.initializer (module)
espnet.nets.pytorch_backend.transformer.label_smoothing_loss (module)
espnet.nets.pytorch_backend.transformer.layer_norm (module)
espnet.nets.pytorch_backend.transformer.mask (module)
espnet.nets.pytorch_backend.transformer.multi_layer_conv (module)
espnet.nets.pytorch_backend.transformer.optimizer (module)
espnet.nets.pytorch_backend.transformer.plot (module)
espnet.nets.pytorch_backend.transformer.positionwise_feed_forward (module)
espnet.nets.pytorch_backend.transformer.repeat (module)
espnet.nets.pytorch_backend.transformer.subsampling (module)
espnet.nets.pytorch_backend.wavenet (module)
espnet.nets.scorer_interface (module)
espnet.nets.scorers.ctc (module)
espnet.nets.scorers.length_bonus (module)
espnet.nets.tts_interface (module)
espnet.transform.add_deltas (module)
espnet.transform.channel_selector (module)
espnet.transform.cmvn (module)
espnet.transform.functional (module)
espnet.transform.perturb (module)
espnet.transform.spec_augment (module)
espnet.transform.spectrogram (module)
espnet.transform.transform_interface (module)
espnet.transform.transformation (module)
espnet.transform.wpe (module)
espnet.tts.pytorch_backend.tts (module)
espnet.utils.check_kwargs (module)
espnet.utils.cli_readers (module)
espnet.utils.cli_utils (module)
espnet.utils.cli_writers (module)
espnet.utils.deterministic_utils (module)
espnet.utils.dynamic_import (module)
espnet.utils.fill_missing_args (module)
espnet.utils.io_utils (module)
espnet.utils.spec_augment (module)
espnet.utils.training.batchfy (module)
espnet.utils.training.evaluator (module)
espnet.utils.training.iterators (module)
espnet.utils.training.tensorboard_logger (module)
espnet.utils.training.train_utils (module)
evaluate() (espnet.asr.pytorch_backend.asr.CustomEvaluator method)
(espnet.lm.chainer_backend.lm.LMEvaluator method)
(espnet.lm.pytorch_backend.lm.LMEvaluator method)
(espnet.tts.pytorch_backend.tts.CustomEvaluator method)
extend_pe() (espnet.nets.pytorch_backend.transformer.embedding.PositionalEncoding method)
extra_repr() (espnet.nets.pytorch_backend.frontends.feature_transform.GlobalMVN method)
(espnet.nets.pytorch_backend.frontends.feature_transform.LogMel method)
(espnet.nets.pytorch_backend.frontends.feature_transform.UtteranceMVN method)
F
feature_transform_for() (in module espnet.nets.pytorch_backend.frontends.feature_transform)
FeatureTransform (class in espnet.nets.pytorch_backend.frontends.feature_transform)
FeedForwardTransformer (class in espnet.nets.pytorch_backend.e2e_tts_fastspeech)
file_reader_helper() (in module espnet.utils.cli_readers)
file_writer_helper() (in module espnet.utils.cli_writers)
fill_missing_args() (in module espnet.utils.fill_missing_args)
filter_modules() (in module espnet.asr.pytorch_backend.asr_init)
final() (espnet.lm.chainer_backend.extlm.LookAheadWordLM method)
(espnet.lm.chainer_backend.extlm.MultiLevelLM method)
(espnet.lm.chainer_backend.lm.ClassifierWithState method)
(espnet.lm.pytorch_backend.extlm.LookAheadWordLM method)
(espnet.lm.pytorch_backend.extlm.MultiLevelLM method)
(espnet.nets.pytorch_backend.lm.default.ClassifierWithState method)
final_score() (espnet.nets.pytorch_backend.lm.default.DefaultRNNLM method)
(espnet.nets.scorer_interface.ScorerInterface method)
flatten_grid_locations() (in module espnet.utils.spec_augment)
forward() (espnet.lm.pytorch_backend.extlm.LookAheadWordLM method)
(espnet.lm.pytorch_backend.extlm.MultiLevelLM method)
(espnet.nets.asr_interface.ASRInterface method)
(espnet.nets.beam_search.BeamSearch method)
(espnet.nets.chainer_backend.deterministic_embed_id.EmbedIDFunction method)
(espnet.nets.chainer_backend.deterministic_embed_id.EmbedIDGrad method)
(espnet.nets.chainer_backend.e2e_asr.E2E method)
(espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
(espnet.nets.chainer_backend.transformer.decoder.Decoder method)
(espnet.nets.chainer_backend.transformer.decoder_layer.DecoderLayer method)
(espnet.nets.chainer_backend.transformer.label_smoothing_loss.LabelSmoothingLoss method)
(espnet.nets.lm_interface.LMInterface method)
(espnet.nets.mt_interface.MTInterface method)
(espnet.nets.pytorch_backend.ctc.CTC method)
(espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_mix.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_mix.Encoder method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
(espnet.nets.pytorch_backend.e2e_mt.E2E method)
(espnet.nets.pytorch_backend.e2e_tts_fastspeech.FeedForwardTransformer method)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.GuidedAttentionLoss method)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.Tacotron2 method)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.Tacotron2Loss method)
(espnet.nets.pytorch_backend.e2e_tts_transformer.GuidedMultiHeadAttentionLoss method)
(espnet.nets.pytorch_backend.e2e_tts_transformer.Transformer method)
(espnet.nets.pytorch_backend.e2e_tts_transformer.TransformerLoss method)
(espnet.nets.pytorch_backend.fastspeech.duration_calculator.DurationCalculator method)
(espnet.nets.pytorch_backend.fastspeech.duration_predictor.DurationPredictor method)
(espnet.nets.pytorch_backend.fastspeech.duration_predictor.DurationPredictorLoss method)
(espnet.nets.pytorch_backend.fastspeech.length_regulator.LengthRegulator method)
(espnet.nets.pytorch_backend.frontends.dnn_beamformer.AttentionReference method)
(espnet.nets.pytorch_backend.frontends.dnn_beamformer.DNN_Beamformer method)
(espnet.nets.pytorch_backend.frontends.dnn_wpe.DNN_WPE method)
(espnet.nets.pytorch_backend.frontends.feature_transform.FeatureTransform method)
(espnet.nets.pytorch_backend.frontends.feature_transform.GlobalMVN method)
(espnet.nets.pytorch_backend.frontends.feature_transform.LogMel method)
(espnet.nets.pytorch_backend.frontends.feature_transform.UtteranceMVN method)
(espnet.nets.pytorch_backend.frontends.frontend.Frontend method)
(espnet.nets.pytorch_backend.frontends.mask_estimator.MaskEstimator method)
(espnet.nets.pytorch_backend.lm.default.ClassifierWithState method)
(espnet.nets.pytorch_backend.lm.default.DefaultRNNLM method)
(espnet.nets.pytorch_backend.lm.default.RNNLM method)
(espnet.nets.pytorch_backend.lm.seq_rnn.SequentialRNNLM method)
(espnet.nets.pytorch_backend.lm.transformer.TransformerLM method)
(espnet.nets.pytorch_backend.rnn.attentions.AttAdd method)
(espnet.nets.pytorch_backend.rnn.attentions.AttCov method)
(espnet.nets.pytorch_backend.rnn.attentions.AttCovLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.AttDot method)
(espnet.nets.pytorch_backend.rnn.attentions.AttForward method)
(espnet.nets.pytorch_backend.rnn.attentions.AttForwardTA method)
(espnet.nets.pytorch_backend.rnn.attentions.AttLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.AttLoc2D method)
(espnet.nets.pytorch_backend.rnn.attentions.AttLocRec method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadAdd method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadDot method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadMultiResLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.NoAtt method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNT method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
(espnet.nets.pytorch_backend.rnn.encoders.Encoder method)
(espnet.nets.pytorch_backend.rnn.encoders.RNN method)
(espnet.nets.pytorch_backend.rnn.encoders.RNNP method)
(espnet.nets.pytorch_backend.rnn.encoders.VGG2L method)
(espnet.nets.pytorch_backend.tacotron2.cbhg.CBHG method)
(espnet.nets.pytorch_backend.tacotron2.cbhg.CBHGLoss method)
(espnet.nets.pytorch_backend.tacotron2.cbhg.HighwayNet method)
(espnet.nets.pytorch_backend.tacotron2.decoder.Decoder method)
(espnet.nets.pytorch_backend.tacotron2.decoder.Postnet method)
(espnet.nets.pytorch_backend.tacotron2.decoder.Prenet method)
(espnet.nets.pytorch_backend.tacotron2.decoder.ZoneOutCell method)
(espnet.nets.pytorch_backend.tacotron2.encoder.Encoder method)
(espnet.nets.pytorch_backend.transformer.attention.MultiHeadedAttention method)
(espnet.nets.pytorch_backend.transformer.decoder.Decoder method)
(espnet.nets.pytorch_backend.transformer.decoder_layer.DecoderLayer method)
(espnet.nets.pytorch_backend.transformer.embedding.PositionalEncoding method)
(espnet.nets.pytorch_backend.transformer.embedding.ScaledPositionalEncoding method)
(espnet.nets.pytorch_backend.transformer.encoder.Encoder method)
(espnet.nets.pytorch_backend.transformer.encoder_layer.EncoderLayer method)
(espnet.nets.pytorch_backend.transformer.label_smoothing_loss.LabelSmoothingLoss method)
(espnet.nets.pytorch_backend.transformer.layer_norm.LayerNorm method)
(espnet.nets.pytorch_backend.transformer.multi_layer_conv.MultiLayeredConv1d method)
(espnet.nets.pytorch_backend.transformer.positionwise_feed_forward.PositionwiseFeedForward method)
(espnet.nets.pytorch_backend.transformer.repeat.MultiSequential method)
(espnet.nets.pytorch_backend.transformer.subsampling.Conv2dSubsampling method)
(espnet.nets.pytorch_backend.wavenet.CausalConv1d method)
(espnet.nets.pytorch_backend.wavenet.OneHot method)
(espnet.nets.pytorch_backend.wavenet.UpSampling method)
(espnet.nets.pytorch_backend.wavenet.WaveNet method)
(espnet.nets.tts_interface.TTSInterface method)
freq_mask() (in module espnet.transform.spec_augment)
(in module espnet.utils.spec_augment)
FreqMask (class in espnet.transform.spec_augment)
Frontend (class in espnet.nets.pytorch_backend.frontends.frontend)
frontend_for() (in module espnet.nets.pytorch_backend.frontends.frontend)
func() (espnet.transform.functional.FuncTrans property)
FuncTrans (class in espnet.transform.functional)
G
generate() (espnet.nets.pytorch_backend.wavenet.WaveNet method)
get_attention_weight() (espnet.asr.asr_mix_utils.PlotAttentionReport method)
(espnet.asr.asr_utils.PlotAttentionReport method)
get_attention_weights() (espnet.asr.asr_mix_utils.PlotAttentionReport method)
(espnet.asr.asr_utils.PlotAttentionReport method)
(espnet.nets.chainer_backend.transformer.plot.PlotAttentionReport method)
(espnet.nets.pytorch_backend.transformer.plot.PlotAttentionReport method)
get_commandline_args() (in module espnet.utils.cli_utils)
get_flat_grid_locations() (in module espnet.utils.spec_augment)
get_grid_locations() (in module espnet.utils.spec_augment)
get_model_conf() (in module espnet.asr.asr_utils)
get_mvdr_vector() (in module espnet.nets.pytorch_backend.frontends.beamformer)
get_num_frames_writer() (in module espnet.utils.cli_writers)
get_parser() (in module espnet.bin.asr_enhance)
(in module espnet.bin.asr_recog)
(in module espnet.bin.asr_train)
(in module espnet.bin.lm_train)
(in module espnet.bin.mt_recog)
(in module espnet.bin.mt_train)
(in module espnet.bin.tts_decode)
(in module espnet.bin.tts_train)
get_partial_asr_mt_state_dict() (in module espnet.asr.pytorch_backend.asr_init)
get_partial_lm_state_dict() (in module espnet.asr.pytorch_backend.asr_init)
get_power_spectral_density_matrix() (in module espnet.nets.pytorch_backend.frontends.beamformer)
get_std_opt() (in module espnet.nets.pytorch_backend.transformer.optimizer)
get_trained_model_state_dict() (in module espnet.asr.pytorch_backend.asr_init)
get_vgg2l_odim() (in module espnet.nets.e2e_asr_common)
GlobalMVN (class in espnet.nets.pytorch_backend.frontends.feature_transform)
GuidedAttentionLoss (class in espnet.nets.pytorch_backend.e2e_tts_tacotron2)
GuidedMultiHeadAttentionLoss (class in espnet.nets.pytorch_backend.e2e_tts_transformer)
H
HDF5Reader (class in espnet.utils.cli_readers)
HDF5Writer (class in espnet.utils.cli_writers)
HighwayNet (class in espnet.nets.pytorch_backend.tacotron2.cbhg)
Hypothesis (class in espnet.nets.beam_search)
I
Identity (class in espnet.transform.transform_interface)
ignore_label (espnet.nets.chainer_backend.deterministic_embed_id.EmbedID attribute)
index_select_state() (espnet.nets.ctc_prefix_score.CTCPrefixScoreTH method)
inference() (espnet.nets.pytorch_backend.e2e_tts_fastspeech.FeedForwardTransformer method)
(espnet.nets.pytorch_backend.e2e_tts_tacotron2.Tacotron2 method)
(espnet.nets.pytorch_backend.e2e_tts_transformer.Transformer method)
(espnet.nets.pytorch_backend.fastspeech.duration_predictor.DurationPredictor method)
(espnet.nets.pytorch_backend.tacotron2.cbhg.CBHG method)
(espnet.nets.pytorch_backend.tacotron2.decoder.Decoder method)
(espnet.nets.pytorch_backend.tacotron2.encoder.Encoder method)
(espnet.nets.tts_interface.TTSInterface method)
init_hyp() (espnet.nets.beam_search.BeamSearch method)
init_like_chainer() (espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_mix.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E method)
(espnet.nets.pytorch_backend.e2e_mt.E2E method)
init_state() (espnet.nets.pytorch_backend.lm.seq_rnn.SequentialRNNLM method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.scorer_interface.ScorerInterface method)
(espnet.nets.scorers.ctc.CTCPrefixScorer method)
initial_state() (espnet.nets.ctc_prefix_score.CTCPrefixScore method)
initialize() (espnet.nets.chainer_backend.transformer.training.VaswaniRule method)
(in module espnet.nets.pytorch_backend.transformer.initializer)
(in module espnet.nets.pytorch_backend.wavenet)
interpolate_bilinear() (in module espnet.utils.spec_augment)
interpolate_spline() (in module espnet.utils.spec_augment)
is_scipy_wav_style() (in module espnet.utils.cli_utils)
IStft (class in espnet.transform.spectrogram)
istft() (in module espnet.transform.spectrogram)
items() (espnet.utils.io_utils.SoundHDF5File method)
J
joint() (espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNT method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
K
KaldiReader (class in espnet.utils.cli_readers)
KaldiWriter (class in espnet.utils.cli_writers)
keys() (espnet.utils.io_utils.SoundHDF5File method)
L
label_smoothing_dist() (in module espnet.nets.e2e_asr_common)
LabelSmoothingLoss (class in espnet.nets.chainer_backend.transformer.label_smoothing_loss)
(class in espnet.nets.pytorch_backend.transformer.label_smoothing_loss)
LayerNorm (class in espnet.nets.chainer_backend.transformer.layer_norm)
(class in espnet.nets.pytorch_backend.transformer.layer_norm)
LengthBonus (class in espnet.nets.scorers.length_bonus)
LengthRegulator (class in espnet.nets.pytorch_backend.fastspeech.length_regulator)
linear_tensor() (in module espnet.nets.chainer_backend.nets_utils)
LinearSampling (class in espnet.nets.chainer_backend.transformer.subsampling)
LMEvaluator (class in espnet.lm.chainer_backend.lm)
(class in espnet.lm.pytorch_backend.lm)
LMInterface (class in espnet.nets.lm_interface)
load_dataset() (in module espnet.lm.lm_utils)
load_state_dict() (espnet.nets.pytorch_backend.lm.default.DefaultRNNLM method)
(espnet.nets.pytorch_backend.transformer.optimizer.NoamOpt method)
load_trained_model() (in module espnet.asr.pytorch_backend.asr_init)
load_trained_modules() (in module espnet.asr.pytorch_backend.asr_init)
LoadInputsAndTargets (class in espnet.utils.io_utils)
log_attentions() (espnet.asr.asr_mix_utils.PlotAttentionReport method)
(espnet.asr.asr_utils.PlotAttentionReport method)
(espnet.nets.chainer_backend.transformer.plot.PlotAttentionReport method)
(espnet.nets.pytorch_backend.transformer.plot.PlotAttentionReport method)
log_softmax() (espnet.nets.chainer_backend.ctc.CTC method)
(espnet.nets.chainer_backend.ctc.WarpCTC method)
(espnet.nets.pytorch_backend.ctc.CTC method)
LogMel (class in espnet.nets.pytorch_backend.frontends.feature_transform)
LogMelSpectrogram (class in espnet.transform.spectrogram)
logmelspectrogram() (in module espnet.transform.spectrogram)
logzero (espnet.lm.chainer_backend.extlm.LookAheadWordLM attribute)
(espnet.lm.chainer_backend.extlm.MultiLevelLM attribute)
(espnet.lm.pytorch_backend.extlm.LookAheadWordLM attribute)
(espnet.lm.pytorch_backend.extlm.MultiLevelLM attribute)
LookAheadWordLM (class in espnet.lm.chainer_backend.extlm)
(class in espnet.lm.pytorch_backend.extlm)
loss_fn() (espnet.nets.pytorch_backend.ctc.CTC method)
M
main() (in module espnet.bin.asr_enhance)
(in module espnet.bin.asr_recog)
(in module espnet.bin.asr_train)
(in module espnet.bin.lm_train)
(in module espnet.bin.mt_recog)
(in module espnet.bin.mt_train)
(in module espnet.bin.tts_decode)
(in module espnet.bin.tts_train)
main_beam() (espnet.nets.beam_search.BeamSearch method)
make_attention_mask() (espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
make_batchset() (in module espnet.asr.asr_mix_utils)
(in module espnet.utils.training.batchfy)
make_history_mask() (espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
make_lexical_tree() (in module espnet.lm.lm_utils)
make_non_pad_mask() (in module espnet.nets.pytorch_backend.nets_utils)
make_pad_mask() (in module espnet.nets.pytorch_backend.nets_utils)
MakeSymlinkToBestModel (class in espnet.lm.lm_utils)
mask_by_length() (in module espnet.nets.pytorch_backend.nets_utils)
MaskEstimator (class in espnet.nets.pytorch_backend.frontends.mask_estimator)
merge_scores() (espnet.nets.beam_search.BeamSearch static method)
merge_states() (espnet.nets.beam_search.BeamSearch method)
min_pit_sample() (espnet.nets.pytorch_backend.e2e_asr_mix.PIT method)
MTInterface (class in espnet.nets.mt_interface)
MultiHeadAttention (class in espnet.nets.chainer_backend.transformer.attention)
MultiHeadedAttention (class in espnet.nets.pytorch_backend.transformer.attention)
MultiLayeredConv1d (class in espnet.nets.pytorch_backend.transformer.multi_layer_conv)
MultiLevelLM (class in espnet.lm.chainer_backend.extlm)
(class in espnet.lm.pytorch_backend.extlm)
MultiSequential (class in espnet.nets.pytorch_backend.transformer.repeat)
N
NoamOpt (class in espnet.nets.pytorch_backend.transformer.optimizer)
NoAtt (class in espnet.nets.chainer_backend.rnn.attentions)
(class in espnet.nets.pytorch_backend.rnn.attentions)
NoiseInjection (class in espnet.transform.perturb)
O
OneHot (class in espnet.nets.pytorch_backend.wavenet)
P
pad_list() (in module espnet.nets.pytorch_backend.nets_utils)
ParallelSentenceIterator (class in espnet.lm.lm_utils)
param_groups() (espnet.nets.pytorch_backend.transformer.optimizer.NoamOpt property)
parse_hypothesis() (in module espnet.asr.asr_utils)
(in module espnet.mt.mt_utils)
parse_wspecifier() (in module espnet.utils.cli_writers)
PartialScorerInterface (class in espnet.nets.scorer_interface)
phi() (in module espnet.utils.spec_augment)
PIT (class in espnet.nets.pytorch_backend.e2e_asr_mix)
pit_process() (espnet.nets.pytorch_backend.e2e_asr_mix.PIT method)
plot_multi_head_attention() (in module espnet.nets.chainer_backend.transformer.plot)
(in module espnet.nets.pytorch_backend.transformer.plot)
plot_spectrogram() (in module espnet.asr.asr_utils)
PlotAttentionReport (class in espnet.asr.asr_mix_utils)
(class in espnet.asr.asr_utils)
(class in espnet.nets.chainer_backend.transformer.plot)
(class in espnet.nets.pytorch_backend.transformer.plot)
plotfn() (espnet.nets.pytorch_backend.e2e_tts_transformer.TTSPlot method)
(espnet.nets.pytorch_backend.transformer.plot.PlotAttentionReport method)
PositionalEncoding (class in espnet.nets.chainer_backend.transformer.embedding)
(class in espnet.nets.pytorch_backend.transformer.embedding)
PositionwiseFeedForward (class in espnet.nets.chainer_backend.transformer.positionwise_feed_forward)
(class in espnet.nets.pytorch_backend.transformer.positionwise_feed_forward)
post_process() (espnet.nets.beam_search.BeamSearch method)
Postnet (class in espnet.nets.pytorch_backend.tacotron2.decoder)
pre_beam() (espnet.nets.beam_search.BeamSearch method)
predict() (espnet.lm.chainer_backend.lm.ClassifierWithState method)
(espnet.nets.pytorch_backend.lm.default.ClassifierWithState method)
Prenet (class in espnet.nets.pytorch_backend.tacotron2.decoder)
previous_epoch_detail() (espnet.lm.lm_utils.ParallelSentenceIterator property)
R
rate() (espnet.nets.pytorch_backend.transformer.optimizer.NoamOpt method)
read_tokens() (in module espnet.lm.lm_utils)
recog() (in module espnet.asr.chainer_backend.asr)
(in module espnet.asr.pytorch_backend.asr)
recog_v2() (in module espnet.asr.pytorch_backend.recog)
recognize() (espnet.nets.asr_interface.ASRInterface method)
(espnet.nets.chainer_backend.e2e_asr.E2E method)
(espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
(espnet.nets.chainer_backend.transformer.decoder.Decoder method)
(espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_mix.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNT method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
(espnet.nets.pytorch_backend.transformer.decoder.Decoder method)
recognize_batch() (espnet.nets.asr_interface.ASRInterface method)
(espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_mix.E2E method)
recognize_beam() (espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
(espnet.nets.chainer_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNT method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
recognize_beam_batch() (espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
repeat() (in module espnet.nets.pytorch_backend.transformer.repeat)
report() (espnet.lm.pytorch_backend.lm.Reporter method)
(espnet.nets.pytorch_backend.e2e_asr.Reporter method)
(espnet.nets.pytorch_backend.e2e_asr_mix.Reporter method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.Reporter method)
(espnet.nets.pytorch_backend.e2e_mt.Reporter method)
(espnet.nets.tts_interface.Reporter method)
Reporter (class in espnet.lm.pytorch_backend.lm)
(class in espnet.nets.pytorch_backend.e2e_asr)
(class in espnet.nets.pytorch_backend.e2e_asr_mix)
(class in espnet.nets.pytorch_backend.e2e_asr_transducer)
(class in espnet.nets.pytorch_backend.e2e_mt)
(class in espnet.nets.tts_interface)
reset() (espnet.nets.chainer_backend.rnn.attentions.AttDot method)
(espnet.nets.chainer_backend.rnn.attentions.AttLoc method)
(espnet.nets.chainer_backend.rnn.attentions.NoAtt method)
(espnet.nets.pytorch_backend.rnn.attentions.AttAdd method)
(espnet.nets.pytorch_backend.rnn.attentions.AttCov method)
(espnet.nets.pytorch_backend.rnn.attentions.AttCovLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.AttDot method)
(espnet.nets.pytorch_backend.rnn.attentions.AttForward method)
(espnet.nets.pytorch_backend.rnn.attentions.AttForwardTA method)
(espnet.nets.pytorch_backend.rnn.attentions.AttLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.AttLoc2D method)
(espnet.nets.pytorch_backend.rnn.attentions.AttLocRec method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadAdd method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadDot method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.AttMultiHeadMultiResLoc method)
(espnet.nets.pytorch_backend.rnn.attentions.NoAtt method)
reset_backward_rnn_state() (in module espnet.nets.pytorch_backend.rnn.encoders)
reset_parameters() (espnet.nets.chainer_backend.e2e_asr_transformer.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
(espnet.nets.pytorch_backend.transformer.embedding.ScaledPositionalEncoding method)
restore_snapshot() (in module espnet.asr.asr_utils)
RIRConvolve (class in espnet.transform.perturb)
RNN (class in espnet.nets.chainer_backend.rnn.encoders)
(class in espnet.nets.pytorch_backend.rnn.encoders)
rnn_forward() (espnet.nets.chainer_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNT method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
RNNLM (class in espnet.lm.chainer_backend.lm)
(class in espnet.nets.pytorch_backend.lm.default)
RNNP (class in espnet.nets.chainer_backend.rnn.encoders)
(class in espnet.nets.pytorch_backend.rnn.encoders)
S
savefig() (in module espnet.nets.chainer_backend.transformer.plot)
(in module espnet.nets.pytorch_backend.transformer.plot)
ScaledPositionalEncoding (class in espnet.nets.pytorch_backend.transformer.embedding)
score() (espnet.nets.beam_search.BeamSearch method)
(espnet.nets.beam_search.Hypothesis property)
(espnet.nets.pytorch_backend.lm.default.DefaultRNNLM method)
(espnet.nets.pytorch_backend.lm.seq_rnn.SequentialRNNLM method)
(espnet.nets.pytorch_backend.lm.transformer.TransformerLM method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.transformer.decoder.Decoder method)
(espnet.nets.scorer_interface.ScorerInterface method)
(espnet.nets.scorers.length_bonus.LengthBonus method)
score_partial() (espnet.nets.beam_search.BeamSearch method)
(espnet.nets.scorer_interface.PartialScorerInterface method)
(espnet.nets.scorers.ctc.CTCPrefixScorer method)
ScorerInterface (class in espnet.nets.scorer_interface)
scorers() (espnet.nets.asr_interface.ASRInterface method)
(espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
scores() (espnet.nets.beam_search.Hypothesis property)
SegmentStreamingE2E (class in espnet.nets.pytorch_backend.streaming.segment)
select_state() (espnet.nets.scorer_interface.PartialScorerInterface method)
(espnet.nets.scorers.ctc.CTCPrefixScorer method)
SequentialRNNLM (class in espnet.nets.pytorch_backend.lm.seq_rnn)
serialize() (espnet.lm.lm_utils.MakeSymlinkToBestModel method)
(espnet.lm.lm_utils.ParallelSentenceIterator method)
(espnet.nets.chainer_backend.transformer.training.VaswaniRule method)
set_deterministic_chainer() (in module espnet.utils.deterministic_utils)
set_deterministic_pytorch() (in module espnet.utils.deterministic_utils)
set_early_stop() (in module espnet.utils.training.train_utils)
ShufflingEnabler (class in espnet.utils.training.iterators)
snapshot_object() (in module espnet.asr.asr_utils)
solve_interpolation() (in module espnet.utils.spec_augment)
SoundHDF5File (class in espnet.utils.io_utils)
SoundHDF5Reader (class in espnet.utils.cli_readers)
SoundHDF5Writer (class in espnet.utils.cli_writers)
SoundReader (class in espnet.utils.cli_readers)
SoundWriter (class in espnet.utils.cli_writers)
sparse_image_warp() (in module espnet.utils.spec_augment)
spec_augment() (in module espnet.transform.spec_augment)
specaug() (in module espnet.utils.spec_augment)
SpecAugment (class in espnet.transform.spec_augment)
Spectrogram (class in espnet.transform.spectrogram)
spectrogram() (in module espnet.transform.spectrogram)
SpeedPerturbation (class in espnet.transform.perturb)
start_shuffle() (espnet.lm.lm_utils.ParallelSentenceIterator method)
(espnet.utils.training.iterators.ToggleableShufflingMultiprocessIterator method)
(espnet.utils.training.iterators.ToggleableShufflingSerialIterator method)
state_dict() (espnet.nets.pytorch_backend.lm.default.DefaultRNNLM method)
(espnet.nets.pytorch_backend.transformer.optimizer.NoamOpt method)
states() (espnet.nets.beam_search.Hypothesis property)
step() (espnet.nets.pytorch_backend.transformer.optimizer.NoamOpt method)
Stft (class in espnet.transform.spectrogram)
stft() (in module espnet.transform.spectrogram)
Stft2LogMelSpectrogram (class in espnet.transform.spectrogram)
stft2logmelspectrogram() (in module espnet.transform.spectrogram)
strtobool() (in module espnet.utils.cli_utils)
subsample_frames() (espnet.nets.pytorch_backend.e2e_asr.E2E method)
(espnet.nets.pytorch_backend.e2e_asr_transducer.E2E method)
subsequent_mask() (in module espnet.nets.pytorch_backend.transformer.mask)
sum_sqnorm() (in module espnet.nets.chainer_backend.rnn.training)
(in module espnet.nets.chainer_backend.transformer.training)
T
Tacotron2 (class in espnet.nets.pytorch_backend.e2e_tts_tacotron2)
Tacotron2Loss (class in espnet.nets.pytorch_backend.e2e_tts_tacotron2)
target_lang_biasing_train() (espnet.nets.pytorch_backend.e2e_mt.E2E method)
target_mask() (espnet.nets.pytorch_backend.e2e_asr_transformer.E2E method)
TensorboardLogger (class in espnet.utils.training.tensorboard_logger)
th_accuracy() (in module espnet.nets.pytorch_backend.nets_utils)
time_mask() (in module espnet.transform.spec_augment)
(in module espnet.utils.spec_augment)
time_warp() (in module espnet.transform.spec_augment)
(in module espnet.utils.spec_augment)
TimeMask (class in espnet.transform.spec_augment)
TimeWarp (class in espnet.transform.spec_augment)
to_device() (in module espnet.nets.pytorch_backend.nets_utils)
to_torch_tensor() (in module espnet.nets.pytorch_backend.nets_utils)
ToggleableShufflingMultiprocessIterator (class in espnet.utils.training.iterators)
ToggleableShufflingSerialIterator (class in espnet.utils.training.iterators)
top_beam_hyps() (espnet.nets.beam_search.BeamSearch method)
torch_load() (in module espnet.asr.asr_utils)
torch_resume() (in module espnet.asr.asr_utils)
torch_save() (in module espnet.asr.asr_utils)
torch_snapshot() (in module espnet.asr.asr_utils)
train() (in module espnet.asr.chainer_backend.asr)
(in module espnet.asr.pytorch_backend.asr)
(in module espnet.lm.chainer_backend.lm)
(in module espnet.lm.pytorch_backend.lm)
(in module espnet.mt.pytorch_backend.mt)
(in module espnet.tts.pytorch_backend.tts)
trans() (in module espnet.mt.pytorch_backend.mt)
transfer_verification() (in module espnet.asr.pytorch_backend.asr_init)
Transformation (class in espnet.transform.transformation)
Transformer (class in espnet.nets.pytorch_backend.e2e_tts_transformer)
TransformerLM (class in espnet.nets.pytorch_backend.lm.transformer)
TransformerLoss (class in espnet.nets.pytorch_backend.e2e_tts_transformer)
TransformInterface (class in espnet.transform.transform_interface)
translate() (espnet.nets.mt_interface.MTInterface method)
(espnet.nets.pytorch_backend.e2e_mt.E2E method)
translate_batch() (espnet.nets.pytorch_backend.e2e_mt.E2E method)
TTSInterface (class in espnet.nets.tts_interface)
TTSPlot (class in espnet.nets.pytorch_backend.e2e_tts_transformer)
U
update() (espnet.asr.pytorch_backend.asr.CustomUpdater method)
(espnet.nets.chainer_backend.rnn.training.CustomParallelUpdater method)
(espnet.nets.chainer_backend.rnn.training.CustomUpdater method)
(espnet.nets.chainer_backend.transformer.training.CustomParallelUpdater method)
(espnet.nets.chainer_backend.transformer.training.CustomUpdater method)
(espnet.tts.pytorch_backend.tts.CustomUpdater method)
update_core() (espnet.asr.pytorch_backend.asr.CustomUpdater method)
(espnet.lm.chainer_backend.lm.BPTTUpdater method)
(espnet.lm.pytorch_backend.lm.BPTTUpdater method)
(espnet.nets.chainer_backend.rnn.training.CustomParallelUpdater method)
(espnet.nets.chainer_backend.rnn.training.CustomUpdater method)
(espnet.nets.chainer_backend.transformer.training.CustomParallelUpdater method)
(espnet.nets.chainer_backend.transformer.training.CustomUpdater method)
(espnet.tts.pytorch_backend.tts.CustomUpdater method)
UpSampling (class in espnet.nets.pytorch_backend.wavenet)
utterance_mvn() (in module espnet.nets.pytorch_backend.frontends.feature_transform)
UtteranceCMVN (class in espnet.transform.cmvn)
UtteranceMVN (class in espnet.nets.pytorch_backend.frontends.feature_transform)
V
values() (espnet.utils.io_utils.SoundHDF5File method)
VaswaniRule (class in espnet.nets.chainer_backend.transformer.training)
VGG2L (class in espnet.nets.chainer_backend.rnn.encoders)
(class in espnet.nets.pytorch_backend.rnn.encoders)
VolumePerturbation (class in espnet.transform.perturb)
W
W (espnet.nets.chainer_backend.deterministic_embed_id.EmbedID attribute)
WarpCTC (class in espnet.nets.chainer_backend.ctc)
WaveNet (class in espnet.nets.pytorch_backend.wavenet)
WindowStreamingE2E (class in espnet.nets.pytorch_backend.streaming.window)
WPE (class in espnet.transform.wpe)
Y
yseq() (espnet.nets.beam_search.Hypothesis property)
Z
zero (espnet.lm.chainer_backend.extlm.LookAheadWordLM attribute)
(espnet.lm.chainer_backend.extlm.MultiLevelLM attribute)
(espnet.lm.pytorch_backend.extlm.LookAheadWordLM attribute)
(espnet.lm.pytorch_backend.extlm.MultiLevelLM attribute)
zero_grad() (espnet.nets.pytorch_backend.transformer.optimizer.NoamOpt method)
zero_state() (espnet.nets.pytorch_backend.lm.default.RNNLM method)
(espnet.nets.pytorch_backend.rnn.decoders.Decoder method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNT method)
(espnet.nets.pytorch_backend.rnn.decoders_transducer.DecoderRNNTAtt method)
ZoneOutCell (class in espnet.nets.pytorch_backend.tacotron2.decoder)