You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
PaddleSpeech/third_party/python_kaldi_features/README.rst

59 lines
2.4 KiB

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
4 years ago
forked from `<https://github.com/jameslyons/python_speech_features>`_
check the readme therein for the usages
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.
-------------------------------
The compute-mfcc-feats pipeline:
src/featbin/Compute-mfcc-feats.cc
Mfcc mfcc(mfcc_opts) --> src/feat/Feature-mfcc.h
struct MfccOptions
typedef OfflineFeatureTpl<MfccComputer> Mfcc --> src/feat/Feature-common.h
MfccComputer() --> src/feat/Feature-mfcc.cc
ComputeDctMatrix() --> src/matrix/Matrix-functions.cc
ComputeLifterCoeffs() --> src/feat/Mel-computations.cc
for each utterance:
mfcc.ComputeFeatures()
src/feat/Feature-common-inl.h
   OfflineFeatureTpl<F>::ComputeFeatures()
Compute()
ExtractWindow() --> src/feat/Feature-window.cc
ProcessWindow()
Dither, remove_dc_offset, log_energy_pre_window, Preemphasize, window
           computer_.Compute() --> src/feat/Feature-mfcc.cc
MfccComputer::Compute()
                                        const MelBanks &mel_banks --> Mel-computations.cc
                                         srfft_
                                       
                                        ComputerPowerSpectrum()
mel_banks.Compute()
mel_energies_.ApplyLog()
dct, cepstral_lifter