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[egs] Fix an error in RESULTS: best_wer.sh => utils/best_wer.sh #3553

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Merged
danpovey merged 1 commit into from
Aug 29, 2019
Merged

[egs] Fix an error in RESULTS: best_wer.sh => utils/best_wer.sh #3553

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6 changes: 3 additions & 3 deletions egs/librispeech/s5/RESULTS
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
# whereas "dev-other" and "test-other" sets contain more challenging speech

### SAT GMM model trained on the "train-clean-100" set (100 hours "clean" speech)
### for test in dev_clean test_clean dev_other test_other; do for lm in fglarge tglarge tgmed tgsmall; do grep WER exp/tri4b/decode_${lm}_${test}/wer* | best_wer.sh; done; echo; done
### for test in dev_clean test_clean dev_other test_other; do for lm in fglarge tglarge tgmed tgsmall; do grep WER exp/tri4b/decode_${lm}_${test}/wer* | utils/best_wer.sh; done; echo; done
%WER 8.20 [ 4459 / 54402, 695 ins, 427 del, 3337 sub ] exp/tri4b/decode_fglarge_dev_clean/wer_14_0.5
%WER 8.60 [ 4677 / 54402, 763 ins, 399 del, 3515 sub ] exp/tri4b/decode_tglarge_dev_clean/wer_16_0.0
%WER 10.39 [ 5655 / 54402, 711 ins, 648 del, 4296 sub ] exp/tri4b/decode_tgmed_dev_clean/wer_16_0.0
Expand All @@ -31,7 +31,7 @@


### SAT GMM model trained on the combined "train-clean-100" + "train-clean-360" set (460 hours "clean" speech)
### for test in dev_clean test_clean dev_other test_other; do for lm in fglarge tglarge tgmed tgsmall; do grep WER exp/tri5b/decode_${lm}_${test}/wer* | best_wer.sh; done; echo; done
### for test in dev_clean test_clean dev_other test_other; do for lm in fglarge tglarge tgmed tgsmall; do grep WER exp/tri5b/decode_${lm}_${test}/wer* | utils/best_wer.sh; done; echo; done
%WER 7.05 [ 3835 / 54402, 588 ins, 370 del, 2877 sub ] exp/tri5b/decode_fglarge_dev_clean/wer_15_0.5
%WER 7.49 [ 4077 / 54402, 623 ins, 376 del, 3078 sub ] exp/tri5b/decode_tglarge_dev_clean/wer_14_0.5
%WER 9.38 [ 5104 / 54402, 701 ins, 533 del, 3870 sub ] exp/tri5b/decode_tgmed_dev_clean/wer_15_0.0
Expand All @@ -54,7 +54,7 @@


### SAT GMM model trained on the combined "train-clean-100" + "train-clean-360" + "train-other-500" set (960 hours)
### for test in dev_clean test_clean dev_other test_other; do for lm in fglarge tglarge tgmed tgsmall; do grep WER exp/tri6b/decode_${lm}_${test}/wer* | best_wer.sh; done; echo; done
### for test in dev_clean test_clean dev_other test_other; do for lm in fglarge tglarge tgmed tgsmall; do grep WER exp/tri6b/decode_${lm}_${test}/wer* | utils/best_wer.sh; done; echo; done
%WER 7.02 [ 3819 / 54402, 516 ins, 424 del, 2879 sub ] exp/tri6b/decode_fglarge_dev_clean/wer_14_1.0
%WER 7.33 [ 3988 / 54402, 506 ins, 468 del, 3014 sub ] exp/tri6b/decode_tglarge_dev_clean/wer_15_1.0
%WER 9.23 [ 5024 / 54402, 744 ins, 481 del, 3799 sub ] exp/tri6b/decode_tgmed_dev_clean/wer_13_0.0
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