added 5 layer (b)lstm recipes #1759
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kronos-cm added a commit to kronos-cm/kaldi that referenced this pull request Jul 25, 2017
* 'master' of https://github.com/kaldi-asr/kaldi: (36 commits) [scripts] Fix convert_nnet2_to_nnet3.py (kaldi-asr#1774) [egs] Add missing make_corpus_subset.sh in babel_multilang example (kaldi-asr#1766) [egs] Graphemic lexicon updates / fixes in babel/s5d recipe and hub4_spanish recipe (kaldi-asr#1740) [egs] update hkust results (kaldi-asr#1772) [egs] Update AMI chain experiments RE dropout, decay-time and proportional-shrink (kaldi-asr#1732) [egs] Fixes to the aishell (Mandarin) recipe (kaldi-asr#1770) [egs] Add recipe for aishell data (free Mandarin corpus, 170 hours total) (kaldi-asr#1742) [src] Change to arpa-reading code to accept blank lines with whitespace (kaldi-asr#1752) [scripts] For nnet3 training, add option to disable the model-combination (kaldi-asr#1757) [scripts] minor bugfix to nnet1 alignment script when creating lattices (kaldi-asr#1764) [src] Add support for row/column ranges when reading GeneralMatrix (kaldi-asr#1761) [src] Change name of option --norm-mean->--norm-means for consistency, thanks: 415198468@qq.com [egs] swbd/s5c, added 5 layer (b)lstm recipes (kaldi-asr#1759) [scripts] Fix bug in segment_long_utterances.sh (kaldi-asr#1758) [src] Fix indexing error in nnet1::Convolutional2DComponent (kaldi-asr#1755) [src] Fix usage message of program (thanks:jubang0219@gmail.com) [egs] some small updates to scripts (installing beamformit; segmentation example) [egs] Small fix to ami/s5b/local/chain/compare_wer_general.sh (kaldi-asr#1751) [build] Add configuration check for incompatible g++ compilers when CUDA is enabled. (kaldi-asr#1749) [egs] Update Librispeech nnet3 TDNN recipe (old one did not run) (kaldi-asr#1727) ...
Skaiste pushed a commit to Skaiste/idlak that referenced this pull request Sep 26, 2018
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Has the BLSTM experiments done for the TDNN+LSTM paper and some experiments requested by the reviewers (e.g. 5 layer (B)LSTM models).
Not updating the default recommended (B)LSTM recipe as all these recipes are computationally very expensive.