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Updated WSJ RESULTS file 

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@142 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8
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Dan Povey 2011-07-15 05:57:05 +00:00
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egs/wsj/s1/RESULTS
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@ -90,12 +90,16 @@ system:
[spk;+fmllr] 8.4 11.7 | [per-speaker adaptation; +fMLLR]
sgmm3b 7.8 10.4 | [ SGMM with speaker vectors, on SI-284]
[utt] 7.8 10.4 | [per-utterance adaptation]
[spk;+fmllr] 7.8 10.0 | [per-speaker adaptation, with fMLLR]
[spk;+fmllr] 7.8 10.0 | [per-speaker adaptation, with fMLLR]
sgmm3c 7.5 9.5 | [ as sgmm3b but gender-dep. UBM]
[+norm] 7.5 9.6 | [normalizing weights per gender]
[utt] 7.7 9.6 | [per-utterance adaptation]
[fmllr] 7.6 9.2 | [per-spk, with fMLLR]
[+norm] 7.5 9.3 | [normalizing weights per gender]
sgmm3e 7.5 9.9 | [as sgmm3b but add ET features]
[utt] 7.8 10.0 | [utterance adaptation]
[spk;+fmllr] 7.4 9.8 | [per-spk; +fMLLR]
# Raw results:
exp/decode_mono_tgpr_eval92/wer:%WER 31.38 [ 1770 / 5641, 108 ins, 386 del, 1276 sub ]
@ -259,11 +263,15 @@ exp/decode_sgmm3c_tgpr_norm_eval92/wer:%WER 7.48 [ 422 / 5641, 111 ins, 14 del,
exp/decode_sgmm3c_tgpr_norm_eval93/wer:%WER 9.62 [ 331 / 3439, 55 ins, 43 del, 233 sub ]
exp/decode_sgmm3c_tgpr_utt_eval92/wer:%WER 7.69 [ 434 / 5641, 110 ins, 17 del, 307 sub ]
exp/decode_sgmm3c_tgpr_utt_eval93/wer:%WER 9.62 [ 331 / 3439, 55 ins, 46 del, 230 sub ]
exp/decode_sgmm3e_tgpr_eval92/wer:%WER 7.50 [ 423 / 5641, 114 ins, 15 del, 294 sub ]
exp/decode_sgmm3e_tgpr_eval93/wer:%WER 9.92 [ 341 / 3439, 58 ins, 43 del, 240 sub ]
exp/decode_sgmm3e_fmllr_tgpr_eval92/wer:%WER 7.41 [ 418 / 5641, 114 ins, 15 del, 289 sub ]
exp/decode_sgmm3e_fmllr_tgpr_eval93/wer:%WER 9.80 [ 337 / 3439, 57 ins, 41 del, 239 sub ]
exp/decode_sgmm3e_tgpr_eval92/wer:%WER 7.50 [ 423 / 5641, 114 ins, 15 del, 294 sub ]
exp/decode_sgmm3e_tgpr_eval93/wer:%WER 9.92 [ 341 / 3439, 58 ins, 43 del, 240 sub ]
exp/decode_sgmm3e_tgpr_utt_eval92/wer:%WER 7.75 [ 437 / 5641, 113 ins, 19 del, 305 sub ]
exp/decode_sgmm3e_tgpr_utt_eval93/wer:%WER 10.00 [ 344 / 3439, 57 ins, 46 del, 241 sub ]
# [old:]