E2E/Streaming Transformer/Conformer ASR (#578)
* add cmvn and label smoothing loss layer
* add layer for transformer
* add glu and conformer conv
* add torch compatiable hack, mask funcs
* not hack size since it exists
* add test; attention
* add attention, common utils, hack paddle
* add audio utils
* conformer batch padding mask bug fix #223
* fix typo, python infer fix rnn mem opt name error and batchnorm1d, will be available at 2.0.2
* fix ci
* fix ci
* add encoder
* refactor egs
* add decoder
* refactor ctc, add ctc align, refactor ckpt, add warmup lr scheduler, cmvn utils
* refactor docs
* add fix
* fix readme
* fix bugs, refactor collator, add pad_sequence, fix ckpt bugs
* fix docstring
* refactor data feed order
* add u2 model
* refactor cmvn, test
* add utils
* add u2 config
* fix bugs
* fix bugs
* fix autograd maybe has problem when using inplace operation
* refactor data, build vocab; add format data
* fix text featurizer
* refactor build vocab
* add fbank, refactor feature of speech
* refactor audio feat
* refactor data preprare
* refactor data
* model init from config
* add u2 bins
* flake8
* can train
* fix bugs, add coverage, add scripts
* test can run
* fix data
* speed perturb with sox
* add spec aug
* fix for train
* fix train logitc
* fix logger
* log valid loss, time dataset process
* using np for speed perturb, remove some debug log of grad clip
* fix logger
* fix build vocab
* fix logger name
* using module logger as default
* fix
* fix install
* reorder imports
* fix board logger
* fix logger
* kaldi fbank and mfcc
* fix cmvn and print prarams
* fix add_eos_sos and cmvn
* fix cmvn compute
* fix logger and cmvn
* fix subsampling, label smoothing loss, remove useless
* add notebook test
* fix log
* fix tb logger
* multi gpu valid
* fix log
* fix log
* fix config
* fix compute cmvn, need paddle 2.1
* add cmvn notebook
* fix layer tools
* fix compute cmvn
* add rtf
* fix decoding
* fix layer tools
* fix log, add avg script
* more avg and test info
* fix dataset pickle problem; using 2.1 paddle; num_workers can > 0; ckpt save in exp dir;fix setup.sh;
* add vimrc
* refactor tiny script, add transformer and stream conf
* spm demo; librisppech scripts and confs
* fix log
* add librispeech scripts
* refactor data pipe; fix conf; fix u2 default params
* fix bugs
* refactor aishell scripts
* fix test
* fix cmvn
* fix s0 scripts
* fix ds2 scripts and bugs
* fix dev & test dataset filter
* fix dataset filter
* filter dev
* fix ckpt path
* filter test, since librispeech will cause OOM, but all test wer will be worse, since mismatch train with test
* add comment
* add syllable doc
* fix ds2 configs
* add doc
* add pypinyin tools
* fix decoder using blank_id=0
* mmseg with pybind11
* format code
3 years ago
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forked from `<https://github.com/jameslyons/python_speech_features>`_
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check the readme therein for the usages
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It has been modified to produce the same results as with the compute-mfcc-feats and compute-fbank-feats (check their default parameters first) commands in Kaldi.
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-------------------------------
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The compute-mfcc-feats pipeline:
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src/featbin/Compute-mfcc-feats.cc
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Mfcc mfcc(mfcc_opts) --> src/feat/Feature-mfcc.h
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struct MfccOptions
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typedef OfflineFeatureTpl<MfccComputer> Mfcc --> src/feat/Feature-common.h
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MfccComputer() --> src/feat/Feature-mfcc.cc
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ComputeDctMatrix() --> src/matrix/Matrix-functions.cc
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ComputeLifterCoeffs() --> src/feat/Mel-computations.cc
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for each utterance:
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mfcc.ComputeFeatures()
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src/feat/Feature-common-inl.h
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OfflineFeatureTpl<F>::ComputeFeatures()
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Compute()
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ExtractWindow() --> src/feat/Feature-window.cc
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ProcessWindow()
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Dither, remove_dc_offset, log_energy_pre_window, Preemphasize, window
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computer_.Compute() --> src/feat/Feature-mfcc.cc
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MfccComputer::Compute()
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const MelBanks &mel_banks --> Mel-computations.cc
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srfft_
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ComputerPowerSpectrum()
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mel_banks.Compute()
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mel_energies_.ApplyLog()
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dct, cepstral_lifter
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