| # CHiME-4 2ch track results |
| # The result is based on Hori et al, "The MERL/SRI system for the 3rd CHiME challenge using beamforming, |
| # robust feature extraction, and advanced speech recognition," in Proc. ASRU'15, |
| # and please refer the paper if you think the baseline useful. |
| # Note that the following result is different from that in the paper since we don't include |
| # SRI's robust features and system combination |
|
|
| GMM noisy multi-condition with beamformit |
| exp/tri3b_tr05_multi_noisy/best_wer_beamformit_2mics.result |
| ------------------- |
| best overall dt05 WER 17.69% (language model weight = 11) |
| ------------------- |
| dt05_simu WER: 19.15% (Average), 16.14% (BUS), 23.55% (CAFE), 15.49% (PEDESTRIAN), 21.42% (STREET) |
| ------------------- |
| dt05_real WER: 16.22% (Average), 20.12% (BUS), 16.25% (CAFE), 12.35% (PEDESTRIAN), 16.18% (STREET) |
| ------------------- |
|
|
| DNN sMBR |
| exp/tri4a_dnn_tr05_multi_noisy_smbr_i1lats/best_wer_beamformit_2mics.result |
| ------------------- |
| best overall dt05 WER 11.63% (language model weight = 11) |
| (Number of iterations = 4) |
| ------------------- |
| dt05_simu WER: 12.36% (Average), 10.66% (BUS), 15.55% (CAFE), 9.87% (PEDESTRIAN), 13.36% (STREET) |
| ------------------- |
| dt05_real WER: 10.90% (Average), 13.62% (BUS), 10.63% (CAFE), 7.69% (PEDESTRIAN), 11.65% (STREET) |
| ------------------- |
|
|
| 5-gram rescoring |
| exp/tri4a_dnn_tr05_multi_noisy_smbr_lmrescore/best_wer_beamformit_2mics_5gkn_5k.result |
| ------------------- |
| best overall dt05 WER 10.17% (language model weight = 11) |
| ------------------- |
| dt05_simu WER: 10.72% (Average), 9.37% (BUS), 13.70% (CAFE), 8.07% (PEDESTRIAN), 11.73% (STREET) |
| ------------------- |
| dt05_real WER: 9.63% (Average), 11.93% (BUS), 9.75% (CAFE), 6.46% (PEDESTRIAN), 10.37% (STREET) |
| ------------------- |
|
|
| RNNLM |
| exp/tri4a_dnn_tr05_multi_noisy_smbr_lmrescore/best_wer_beamformit_2mics_rnnlm_5k_h300_w0.5_n100.result |
| ------------------- |
| best overall dt05 WER 8.86% (language model weight = 12) |
| ------------------- |
| dt05_simu WER: 9.50% (Average), 8.19% (BUS), 12.15% (CAFE), 7.12% (PEDESTRIAN), 10.55% (STREET) |
| ------------------- |
| dt05_real WER: 8.23% (Average), 10.90% (BUS), 7.96% (CAFE), 5.22% (PEDESTRIAN), 8.82% (STREET) |
| ------------------- |
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