word-based gale arabic setup new tdnn recipe #2934

aarora8 · 2018-12-23T19:36:02Z

PR for the Gale Arabic word-based setup recipe to update the TDNN recipe
removing "_comb" from the run_ivector_common.sh script and the chain training script (run_tdnn_1b.sh)
using PCA instead of LDA for the ivector
adding run_chain_common.sh routine
minor cleanup (having script name and script tasks similar to other setups)
(waiting for completion of tdnn recipe for updating results)

xiaohui-zhang

copare_wer.sh name is wrong

xiaohui-zhang

copare_wer.sh name is wrong

xiaohui-zhang · 2018-12-24T06:41:51Z

egs/gale_arabic/s5b/local/chain/tuning/run_tdnn_1b.sh

+nj=30
+train_set=train
+test_set=test
+gmm=tri2b        # this is the source gmm-dir that we'll use for alignments; it


The current NN was trained on top of tri2b (LDA-MLLT), and SAT was removed. Did you verify adding SAT doesn't improve NN results?

the setup is mapping every utterance to a new speaker. The WER of SAT was higher than WER of LDA-MLLT. I did not run NN from SAT but originally also the setup was using LDA-MLLT for NN training instead of SAT.

Thanks Ashish. Did you verified SAT is worse than LDA-MLLT? In RESULTS it seems not to be the case (tri3b better than tri2b). Maybe data has changed in your case. Also in the one-utt-per-spk case steps/train_sat_basis.sh may be better than steps/train_sat.sh according to @danpovey and my experience. I know the old setup was using LDA-MLLT but I suspect it's a bug, so you may want to try NN run on top of SAT/SAT-basis to ensure you have the best seed.

ok, thank you, I will surely try running an experiment with SAT/SAT-basis as a seed.

xiaohui-zhang · 2018-12-24T06:43:04Z

egs/gale_arabic/s5b/local/chain/tuning/run_tdnn_1b.sh

+                                  --lores-train-data-dir ${lores_train_data_dir} \
+                                  --lang $lang \
+                                  --lat-dir $lat_dir \
+                                  --num-leaves 7000 \


Did you tune the num-leaves a bit?

Sorry, i did not tune it, i will tune it now.

xiaohui-zhang · 2018-12-24T06:51:18Z

egs/gale_arabic/s5b/local/chain/run_tdnn.sh

The old (out-dated) tdnn_1a recipe should be either deleted, or you can clearly state the difference between 1a and 1b recipes, and add comparison of the results in the 1d recipe. Also it'll be great if you can add a new version of the old tdnn_lstm recipe (producing 17.64 WER which is competitive), to see whether you get some improvements (I suspect not much though). Finally you may want to update s5b/RESULTS to reflect the best tdnn/tdnn-lstm numbers.

ok, thank you I will do it.

aarora8 · 2018-12-26T19:44:11Z

Sorry, I just saw the comments, i will quickly fix it.

xiaohui-zhang · 2018-12-28T05:36:01Z

egs/gale_arabic/s5b/local/chain/tuning/run_tdnn_1b.sh

+# Options which are not passed through to run_ivector_common.sh
+affix=_1b   #affix for TDNN+LSTM directory e.g. "1a" or "1b", in case we change the configuration.
+common_egs_dir=
+reporting_email=


this option is not used later

xiaohui-zhang · 2018-12-31T03:27:17Z

egs/gale_arabic/s5b/local/chain/tuning/run_tdnn_1b.sh

@@ -100,7 +100,7 @@ if $run_chain_common; then
                                  --lores-train-data-dir ${lores_train_data_dir} \
                                  --lang $lang \
                                  --lat-dir $lat_dir \
-                                  --num-leaves 7000 \
+                                  --num-leaves 3500 \


just curious, have you verified using the smaller tree is better than a larger one? If so, how much better?

Sorry, previously all the experiments that were done and the results shared in the emails (best WER 16.72) were with the number of leaves=3500. The result that I obtained this week with the number of leaves = 7000 is WER 18.07 (ideally i should have used 3500 but somehow i mistakingly used 7000). I was not able to figure out the cause and was running the setup again with fewer modifications. Dan found the bug by comparing old and new runs. I will do the tuning experiments to find best number of leaves. I am training the tdnn setup again to check if there are no other bugs.

Thanks for sharing. The results you reported in the file is 17.23. Should it be 16.72?

Thanks, yeah it should be 16.72. I am checking for other bugs and waiting for the tdnn model to complete to update the results.

can you check what's the effect of tree size again? fix everything else and just change the tree size from 3500 to 7000. I suppose your previous finding was due to some other changes.

ok, thank you, I will do it.

aarora8 · 2018-12-31T18:38:40Z

A code with fewer modifications completed. It gave a WER 16.56. The degradation in WER is due to using a different language model.
If we use kaldi_lm: WER 16.56 [ 11538 / 69668, 1449 ins, 2236 del, 7853 sub ]
if we use srilm: WER 17.98 [ 12528 / 69668, 1422 ins, 2661 del, 8445 sub ]

Should I revert back the language model changes or should I try a different configuration of the srilm.

danpovey · 2018-12-31T20:09:15Z

egs/gale_arabic/s5b/local/prepare_dict.sh

 grep -v [0-9] tmp$$ |  sed -e 's:[FNKaui\~o\`]::g' -e 's:{:}:g' | sort -u > tmp1.$$ # remove vowels and  rare alef wasla
 cat tmp1.$$ | sed 's:\(\):\1 :g' | sed -e 's:  : :g' -e 's:  : :g' -e 's:\s*: :g' -e  's:\*:V:g' > tmp2.$$
 paste -d ' ' tmp1.$$ tmp2.$$ > $dir/lexicon.txt 

-#(2) Dictionary preparation:
+sed -i '1i<UNK> SIL' $dir/lexicon.txt


This doesn't look right to me -- although I see it was a pre-existing condition in this recipe. <UNK> should normally have its own phone. Of course, the word <UNK> would be filtered out in scoring.

danpovey · 2018-12-31T20:09:41Z

egs/gale_arabic/s5b/local/prepare_lm.sh

+cat data/train/text | cut -d " " -f 2- >  $locdata/train.txt
+
+ngram-count -text $locdata/train.txt -order $order -interpolate \
+  -kndiscount -lm $locdata/lm.gz


This doesn't seem the same as the kaldi_lm setup w.r.t. the treatment of vocabulary. The LM estimation differences should be quite small; it may be to do with the treatment of the vocabulary and of <UNK>. In the wsj setup look at wsj_train_lms.sh. See these options:

-limit-vocab -vocab $sdir/wordlist.final.s -unk \ -map-unk "<UNK>"

I don't know if some subset of these might work as well, but anyway, I assume that would do something similar to what kaldi_lm is doing. Check, after you build the LMs that the prob of unk is similar vs. kaldi_lm, and that unk appears in a similar number of n-gram contexts. And check how frequently unk is decoded in the two setups.
I'm assuming this is a phonetic system and that you are still using the QCRI lexicon.

danpovey · 2018-12-31T21:28:22Z

egs/gale_arabic/s5b/local/chain/tuning/run_tdnn_1a.sh

+  tdnnf_opts="l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66"
+  linear_opts="l2-regularize=0.01 orthonormal-constraint=-1.0"
+  prefinal_opts="l2-regularize=0.01"
+  output_opts="l2-regularize=0.002"


you could try more l2 on the output. e.g. 0.005.

aarora8 · 2018-12-31T21:31:53Z

Thank you. I will do it.

xiaohui-zhang · 2019-01-22T15:58:10Z

egs/gale_arabic/s5b/RESULTS

+# Effect of GMM seed model (tri2b instead of tri3b).  Using tri3b give a slightly better result
+# as compared to using tri2b as seed.
+%WER 16.66 [ 11610 / 69668, 1233 ins, 2747 del, 7630 sub ] exp/chain/tdnn_1a_sp/decode_test/wer_10_0.0
+%WER 16.71 [ 11642 / 69668, 1145 ins, 2908 del, 7589 sub ] exp/chain/tdnn_1a_sp/decode_test/wer_9_0.0


These two dir names are the same. maybe make them more informative. don't have to be the names you actually used.

xiaohui-zhang · 2019-01-22T15:58:39Z

egs/gale_arabic/s5b/RESULTS

+%WER 16.71 [ 11642 / 69668, 1145 ins, 2908 del, 7589 sub ] exp/chain/tdnn_1a_sp/decode_test/wer_9_0.0
+
+# WER with train_sat_basis
+%WER 33.35 [ 23233 / 69668, 2385 ins, 5274 del, 15574 sub ] exp/tri3b/decode/wer_16_0.5


move it to the GMM result section

xiaohui-zhang · 2019-01-22T15:59:18Z

egs/gale_arabic/s5b/RESULTS

+
+# Effect of l2-regularization on the output with tree-size=7000. l2 on the output (0.005,0.002)
+%WER 16.54 [ 11522 / 69668, 1123 ins, 2739 del, 7660 sub ] exp/chain/tdnn_1a_7000_05_sp/decode_test/wer_9_0.5
+%WER 16.47 [ 11474 / 69668, 1421 ins, 2207 del, 7846 sub ] exp/chain/tdnn_1a_7000_sp/decode_test/wer_9_0.0


again, improve dir names

otherwise I think the recipe now looks good. Thanks for the hard work @aarora8. Is there any other thing you plan to do before merging it?

Thank you. I will quickly fix the RESULTS file for the changes you mentioned.

xiaohui-zhang · 2019-01-22T20:49:31Z

egs/gale_arabic/s5b/RESULTS

@@ -65,6 +65,9 @@ Combined Results for Reports and Conversational WER:
 %WER 32.36 [ 22542 / 69668, 2156 ins, 4184 del, 16202 sub ] exp/tri2b_mmi/decode_it4/wer_11
 %WER 32.50 [ 22640 / 69668, 2393 ins, 3956 del, 16291 sub ] exp/tri2b_mmi/decode_it3/wer_11
 %WER 32.79 [ 22847 / 69668, 2407 ins, 4760 del, 15680 sub ] exp/tri2b_mpe/decode_it3/wer_13
+# WER with train_sat_basis


sorry I forgot to point it out, @aarora8 would you please remove all old NN results above? They are not replicable any more. thanks.

Ok, thank you, I am removing it in a new PR.

@cbtpkzm

* [build] Allow configure script to handle package-based OpenBLAS (kaldi-asr#2618) * [egs] updating local/make_voxceleb1.pl so that it works with newer versions of VoxCeleb1 (kaldi-asr#2684) * [egs,scripts] Remove unused --nj option from some scripts (kaldi-asr#2679) * [egs] Fix to tedlium v3 run.sh (rnnlm rescoring) (kaldi-asr#2686) * [scripts,egs] Tamil OCR with training data from yomdle and testing data from slam (kaldi-asr#2621) note: this data may not be publicly available at the moment. we'll work on that. * [egs] mini_librispeech: allow relative pathnames in download_and_untar.sh (kaldi-asr#2689) * [egs] Updating SITW recipe to account for changes to VoxCeleb1 (kaldi-asr#2690) * [src] Fix nnet1 proj-lstm bug where gradient clipping not used; thx:@cbtpkzm (kaldi-asr#2696) * [egs] Update aishell2 recipe to allow online decoding (no pitch for ivector) (kaldi-asr#2698) * [src] Make cublas and cusparse use per-thread streams. 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Thx: @hwiorn (kaldi-asr#2875) (kaldi-asr#2876) * Revert "[src] Fix infinite recursion with -DDOUBLE_PRECISION=1. Thx: @hwiorn (kaldi-asr#2875) (kaldi-asr#2876)" (kaldi-asr#2877) This reverts commit 84435ff. * Revert "Revert "[src] Fix infinite recursion with -DDOUBLE_PRECISION=1. Thx: @hwiorn (kaldi-asr#2875) (kaldi-asr#2876)" (kaldi-asr#2877)" (kaldi-asr#2878) This reverts commit b196b7f. * Revert "[src] Fix memory leak in OnlineCacheFeature; thanks @Worldexe" (kaldi-asr#2882) the fix was buggy. apologies. * [src] Remove unused code that caused Windows compile failure. Thx:@btiplitz (kaldi-asr#2881) * [src] Really fix memory leak in online decoding; thx:@Worldexe (kaldi-asr#2883) * [src] Fix Windows cuda build failure (use C++11 standard include) (kaldi-asr#2880) * [src] Add #include that caused build failure on Windows (kaldi-asr#2886) * [scripts] Fix max duration check in sad_to_segments.py (kaldi-asr#2889) * [scripts] Fix speech duration calculation in sad_to_segments.py (kaldi-asr#2891) * [src] Fix Windows build problem (timer.h) (kaldi-asr#2888) * [egs] add HUB4 spanish tdnn-f and cnn-tdnn script (kaldi-asr#2895) * [egs] Fix Aishell2 dict prepare bug; should not affect results (kaldi-asr#2890) * [egs] Self-contained example for KWS for mini_librispeech (kaldi-asr#2887) * [egs,scripts] Fix bugs in Dihard 2018 (kaldi-asr#2897) * [scripts] Check last character of files to match with newline (kaldi-asr#2898) * [egs] Update Librispeech RNNLM results; use correct training data (kaldi-asr#2900) * [scripts] RNNLM: old iteration model cleanup; save space (kaldi-asr#2885) * [scripts] Make prepare_lang.sh cleanup beforehand (prevents certain failures) (kaldi-asr#2906) * [scripts] Expose dim-range-node at xconfig level (kaldi-asr#2903) * [scripts] Fix bug related to multi-task in train_raw_rnn.py (kaldi-asr#2907) [scripts] Fix bug related to multi-task in train_raw_rnn.py. Thx:tessfu2001@gmail.com * [scripts] Cosmetic fix/clarification to utils/prepare_lang.sh (kaldi-asr#2912) * [scripts,egs] Added a new lexicon learning (adaptation) recipe for tedlium, in accordance with the IS17 paper. (kaldi-asr#2774) * [egs] TDNN+LSTM example scripts, with RNNLM, for Librispeech (kaldi-asr#2857) * [src] cosmetic fix in nnet1 code (kaldi-asr#2921) * [src] Fix incorrect invocation of mutex in nnet-batch-compute code (kaldi-asr#2932) * [egs,minor] Fix typo in comment in voxceleb script (kaldi-asr#2926) * [src,egs] Mostly cosmetic changes; add some missing includes (kaldi-asr#2936) * [egs] Fix path of rescoring binaries used in tfrnnlm scripts (kaldi-asr#2941) * [src] Fix bug in nnet3-latgen-faster-batch for determinize=false (kaldi-asr#2945) thx: Maxim Korenevsky. * [egs] Add example for rimes handwriting database; Madcat arabic script cleanup (kaldi-asr#2935) * [egs] Add scripts for yomdle korean (kaldi-asr#2942) * [build] Refactor/cleanup build system, easier build on ubuntu 18.04. (kaldi-asr#2947) note: if this breaks someone's build we'll have to debug it then. * [scripts,egs] Changes for Python 2/3 compatibility (kaldi-asr#2925) * [egs] Add more modern DNN recipe for fisher_callhome_spanish (kaldi-asr#2951) * [scripts] switch from bc to perl to reduce dependencies (diarization scripts) (kaldi-asr#2956) * [scripts] Further fix for Python 2/3 compatibility (kaldi-asr#2957) * [egs] Remove no-longer-existing option in tedlium_r3 recipe (kaldi-asr#2959) * [build] Handle dependencies for .cu files in addition to .cc files (kaldi-asr#2944) * [src] remove duplicate test mode option from class GeneralDropoutComponent (kaldi-asr#2960) * [egs] Fix minor bugs in WSJ's flat-start/e2e recipe (kaldi-asr#2968) * [egs] Fix to BSD compatibility of TIMIT data prep (kaldi-asr#2966) * [scripts] Fix RNNLM training script problem (chunk_length was ignored) (kaldi-asr#2969) * [src] Fix bug in lattice-1best.cc RE removing insertion penalty (kaldi-asr#2970) * [src] Compute a separate avg (start, end) interval for each sausage word (kaldi-asr#2972) * [build] Move nvcc verbose flag to proper location (kaldi-asr#2962) * [egs] Fix mini_librispeech download_lm.sh crash; thx:chris.keith.johnson@gmail.com (kaldi-asr#2974) * [egs] minor fixes related to python2 vs python3 differences (kaldi-asr#2977) * [src] Small fix in test code, avoid spurious failure (kaldi-asr#2978) * [egs] Fix CSJ data-prep; minor path fix for USB version of data (kaldi-asr#2979) * [egs] Add paper ref to README.txt in reverb example (kaldi-asr#2982) * [egs] Minor fixes to sitw recipe (fix problem introdueced in kaldi-asr#2925) (kaldi-asr#2985) * [scripts] Fix bug introduced in kaldi-asr#2957, RE integer division (kaldi-asr#2986) * [egs] Update WSJ flat-start chain recipes to use TDNN-F not TDNN+LSTM (kaldi-asr#2988) * [scripts] Fix typo introduced in kaldi-asr#2925 (kaldi-asr#2989) * [build] Modify Makefile and travis script to fix Travis failures (kaldi-asr#2987) * [src] Simplification and efficiency improvement in ivector-plda-scoring-dense (kaldi-asr#2991) * [egs] Update madcat Arabic and Chinese egs, IAM (kaldi-asr#2964) * [src] Fix overflow bug in convolution code (kaldi-asr#2992) * [src] Fix nan issue in ctm times introduced in kaldi-asr#2972, thx: @vesis84 (kaldi-asr#2993) * [src] Fix 'sausage-time' issue which occurs with disabled MBR decoding. (kaldi-asr#2996) * [egs] Add scripts for yomdle Russian (OCR task) (kaldi-asr#2953) * [egs] Simplify lexicon preparation in Fisher callhome Spanish (kaldi-asr#2999) * [egs] Update GALE Arabic recipe (kaldi-asr#2934) * [egs] Remove outdated NN results from Gale Arabic recipe (kaldi-asr#3002) * [egs] Add RESULTS file for the tedlium s5_r3 (release 3) setup (kaldi-asr#3003) * [src] Fixes to grammar-fst code to handle LM-disambig symbols properly (kaldi-asr#3000) thanks: armando.muscariello@gmail.com * [src] Cosmetic change to mel computation (fix option string) (kaldi-asr#3011) * [src] Fix Visual Studio error due to alternate syntactic form of noreturn (kaldi-asr#3018) * [egs] Fix location of sequitur installation (kaldi-asr#3017) * [src] Fix w/ ifdef Visual Studio error from alternate syntactic form noreturn (kaldi-asr#3020) * [egs] Some fixes to getting data in heroico recipe (kaldi-asr#3021) * [egs] BABEL script fix: avoid make_L_align.sh generating invalid files (kaldi-asr#3022) * [src] Fix to older online decoding code in online/ (OnlineFeInput; was broken by commit cc2469e). (kaldi-asr#3025) * [script] Fix unset bash variable in make_mfcc.sh (kaldi-asr#3030) * [scripts] Extend limit_num_gpus.sh to support --num-gpus 0. (kaldi-asr#3027) * [scripts] fix bug in utils/add_lex_disambig.pl when sil-probs and pron-probs used (kaldi-asr#3033) bug would likely have resulted in determinization failure (only when not using word-position-dependent phones). * [egs] Fix path in Tedlium r3 rnnlm training script (kaldi-asr#3039) * [src] Thread-safety for GrammarFst (thx:armando.muscariello@gmail.com) (kaldi-asr#3040) * [scripts] Cosmetic fix to get_degs.sh (kaldi-asr#3045) * [egs] Small bug fixes for IAM and UW3 recipes (kaldi-asr#3048) * [scripts] Nnet3 segmentation: fix default params (kaldi-asr#3051) * [scripts] Allow perturb_data_dir_speed.sh to work with utt2lang (kaldi-asr#3055) * [scripts] Make beam in monophone training configurable (kaldi-asr#3057) * [scripts] Allow reverberate_data_dir.py to support unicode filenames (kaldi-asr#3060) * [scripts] Make some cleanup scripts work with python3 (kaldi-asr#3054) * [scripts] bug fix to nnet2->3 conversion, fixes kaldi-asr#886 (kaldi-asr#3071) * [src] Make copies occur in per-thread default stream (for GPUs) (kaldi-asr#3068) * [src] Add GPU version of MergeTaskOutput().. relates to batch decoding (kaldi-asr#3067) * [src] Add device options to enable tensor core math mode. (kaldi-asr#3066) * [src] Log nnet3 computation to VLOG, not std::cout (kaldi-asr#3072) * [src] Allow upsampling in compute-mfcc-feats, etc. (kaldi-asr#3014) * [src] fix problem with rand_r being undefined on Android (kaldi-asr#3037) * [egs] Update swbd1_map_words.pl, fix them_1's -> them's (kaldi-asr#3052) * [src] Add const overload OnlineNnet2FeaturePipeline::IvectorFeature (kaldi-asr#3073) * [src] Fix syntax error in egs/bn_music_speech/v1/local/make_musan.py (kaldi-asr#3074) * [src] Memory optimization for online feature extraction of long recordings (kaldi-asr#3038) * [build] fixed a bug in linux_configure_redhat_fat when use_cuda=no (kaldi-asr#3075) * [scripts] Add missing '. ./path.sh' to get_utt2num_frames.sh (kaldi-asr#3076) * [src,scripts,egs] Add count-based biphone tree tying for flat-start chain training (kaldi-asr#3007) * [scripts,egs] Remove sed from various scripts (avoid compatibility problems) (kaldi-asr#2981) * [src] Rework error logging for safety and cleanliness (kaldi-asr#3064) * [src] Change warp-synchronous to cub::BlockReduce (safer but slower) (kaldi-asr#3080) * [src] Fix && and || uses where & and | intended, and other weird errors (kaldi-asr#3087) * [build] Some fixes to Makefiles (kaldi-asr#3088) clang is unhappy with '-rdynamic' in compile-only step, and the switch is really unnecessary. Also, the default location for MKL 64-bit libraries is intel64/. The em64t/ was explained already obsolete by an Intel rep in 2010: https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/285973 * [src] Fixed -Wreordered warnings in feat (kaldi-asr#3090) * [egs] Replace bc with perl -e (kaldi-asr#3093) * [scripts] Fix python3 compatibility issue in data-perturbing script (kaldi-asr#3084) * [doc] fix some typos in doc. (kaldi-asr#3097) * [build] Make sure expf() speed probe times sensibly (kaldi-asr#3089) * [scripts] Make sure merge_targets.py works in python3 (kaldi-asr#3094) * [src] ifdef to fix compilation failure on CUDA 8 and earlier (kaldi-asr#3103) * [doc] fix typos and broken links in doc. (kaldi-asr#3102) * [scripts] Fix frame_shift bug in egs/swbd/s5c/local/score_sclite_conf.sh (kaldi-asr#3104) * [src] Fix wrong assertion failure in nnet3-am-compute (kaldi-asr#3106) * [src] Cosmetic changes to natural-gradient code (kaldi-asr#3108) * [src,scripts] Python2 compatibility fixes and code cleanup for nnet1 (kaldi-asr#3113) * [doc] Small documentation fixes; update on Kaldi history (kaldi-asr#3031) * [src] Various mostly-cosmetic changes (copying from another branch) (kaldi-asr#3109) * [scripts] Simplify text encoding in RNNLM scripts (now only support utf-8) (kaldi-asr#3065) * [egs] Add "formosa_speech" recipe (Taiwanese Mandarin ASR) (kaldi-asr#2474) * [egs] python3 compatibility in csj example script (kaldi-asr#3123) * [egs] python3 compatibility in example scripts (kaldi-asr#3126) * [scripts] Bug-fix for removing deleted words (kaldi-asr#3116) The type of --max-deleted-words-kept-when-merging in segment_ctm_edits.py was a string, which prevented the mechanism from working altogether. * [scripts] Add fix regarding num-jobs for segment_long_utterances*.sh(kaldi-asr#3130) * [src] Enable allow_{upsample,downsample} with online features (kaldi-asr#3139) * [src] Fix bad assert in fstmakecontextsyms (kaldi-asr#3142) * [src] Fix to "Fixes to grammar-fst & LM-disambig symbols" (kaldi-asr#3000) (kaldi-asr#3143) * [build] Make sure PaUtils exported from portaudio (kaldi-asr#3144) * [src] cudamatrix: fixing a synchronization bug in 'normalize-per-row' (kaldi-asr#3145) was only apparent using large matrices * [src] Fix typo in comment (kaldi-asr#3147) * [src] Add binary that functions as a TCP server (kaldi-asr#2938) * [scripts] Fix bug in comment (kaldi-asr#3152) * [scripts] Fix bug in steps/segmentation/ali_to_targets.sh (kaldi-asr#3155) * [scripts] Avoid holding out more data than the requested num-utts (due to utt2uniq) (kaldi-asr#3141) * [src,scripts] Add support for two-pass agglomerative clustering. (kaldi-asr#3058) * [src] Disable unget warning in PeekToken (and other small fix) (kaldi-asr#3163) * [build] Add new nvidia tools to windows build (kaldi-asr#3159) * [doc] Fix documentation errors and add more docs for tcp-server decoder (kaldi-asr#3164)

aarora8 added 2 commits December 21, 2018 20:20

updating gale setup

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minor update

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xiaohui-zhang reviewed Dec 24, 2018

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fixing script name

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xiaohui-zhang reviewed Dec 28, 2018

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aarora8 added 2 commits December 30, 2018 20:49

fixing bug

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modification from review, todo: run tri3

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xiaohui-zhang reviewed Dec 31, 2018

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danpovey reviewed Dec 31, 2018

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aarora8 added 7 commits January 1, 2019 22:19

modification from review

9c16689

fixing bug

741c4be

minor fix

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adding train sat basis, unk phone is dict, minor changes

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updating results

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updating results

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minor fix

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xiaohui-zhang reviewed Jan 22, 2019

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danpovey merged commit 25f09e8 into kaldi-asr:master Jan 22, 2019

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chenzhehuai mentioned this pull request Jun 4, 2019

update (#32) chenzhehuai/kaldi#33

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word-based gale arabic setup new tdnn recipe #2934

word-based gale arabic setup new tdnn recipe #2934

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word-based gale arabic setup new tdnn recipe #2934

word-based gale arabic setup new tdnn recipe #2934

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