task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Speech Recognition | CHiME-6 eval | ConformerXXL-PS | https://arxiv.org/abs/2109.13226v3 | Word Error Rate (WER) | 31 |
Speech Recognition | CHiME-6 eval | SpeechStew (1B) | https://arxiv.org/abs/2104.02133v3 | Word Error Rate (WER) | 38.9 |
Speech Recognition | WSJ eval92 | Speechstew 100M | https://arxiv.org/abs/2104.02133v3 | Word Error Rate (WER) | 1.3 |
Speech Recognition | WSJ eval92 | ConformerXXL-P | https://arxiv.org/abs/2109.13226v3 | Word Error Rate (WER) | 1.3 |
Speech Recognition | WSJ eval92 | Task activating prompting generative correction | https://arxiv.org/abs/2309.15649v2 | Word Error Rate (WER) | 2.11 |
Speech Recognition | WSJ eval92 | RobustGER | https://arxiv.org/abs/2402.05457v1 | Word Error Rate (WER) | 2.2 |
Speech Recognition | WSJ eval92 | tdnn + chain | https://www.danielpovey.com/files/2016_interspeech_mmi.pdf | Word Error Rate (WER) | 2.32 |
Speech Recognition | WSJ eval92 | CTC-CRF ST-NAS | https://arxiv.org/abs/2011.05649v1 | Word Error Rate (WER) | 2.77 |
Speech Recognition | WSJ eval92 | End-to-end LF-MMI | https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1423.html | Word Error Rate (WER) | 3.0 |
Speech Recognition | WSJ eval92 | Transformer with Relaxed Attention | https://arxiv.org/abs/2107.01275v2 | Word Error Rate (WER) | 3.19 |
Speech Recognition | WSJ eval92 | CTC-CRF VGG-BLSTM | https://arxiv.org/abs/2005.13326v2 | Word Error Rate (WER) | 3.2 |
Speech Recognition | WSJ eval92 | Espresso | https://arxiv.org/abs/1909.08723v3 | Word Error Rate (WER) | 3.4 |
Speech Recognition | WSJ eval92 | TC-DNN-BLSTM-DNN | http://arxiv.org/abs/1504.01482v1 | Word Error Rate (WER) | 3.5 |
Speech Recognition | WSJ eval92 | Convolutional Speech Recognition | http://arxiv.org/abs/1812.06864v2 | Word Error Rate (WER) | 3.5 |
Speech Recognition | WSJ eval92 | test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm* | null | Word Error Rate (WER) | 3.6 |
Speech Recognition | WSJ eval92 | Deep Speech 2 | http://arxiv.org/abs/1512.02595v1 | Word Error Rate (WER) | 3.60 |
Speech Recognition | WSJ eval92 | CTC-CRF 4gram-LM | https://ieeexplore.ieee.org/document/8682256 | Word Error Rate (WER) | 3.79 |
Speech Recognition | WSJ eval92 | CNN over RAW speech (wav) | null | Word Error Rate (WER) | 5.6 |
Speech Recognition | WSJ eval92 | Jasper 10x3 | https://arxiv.org/abs/1904.03288v3 | Word Error Rate (WER) | 6.9 |
Speech Recognition | TIMIT | wav2vec 2.0 | https://arxiv.org/abs/2006.11477v3 | Percentage error | 8.3 |
Speech Recognition | TIMIT | vq-wav2vec | https://arxiv.org/abs/1910.05453v3 | Percentage error | 11.6 |
Speech Recognition | TIMIT | LiGRU + Dropout + BatchNorm + Monophone Reg | http://arxiv.org/abs/1811.07453v2 | Percentage error | 14.2 |
Speech Recognition | TIMIT | LSTM + Dropout + BatchNorm + Monophone Reg | http://arxiv.org/abs/1811.07453v2 | Percentage error | 14.5 |
Speech Recognition | TIMIT | wav2vec | https://arxiv.org/abs/1904.05862v4 | Percentage error | 14.7 |
Speech Recognition | TIMIT | GRU + Dropout + BatchNorm + Monophone Reg | http://arxiv.org/abs/1811.07453v2 | Percentage error | 14.9 |
Speech Recognition | TIMIT | Li-GRU + fMLLR features | http://arxiv.org/abs/1803.10225v1 | Percentage error | 14.9 |
Speech Recognition | TIMIT | RNN + Dropout + BatchNorm + Monophone Reg | http://arxiv.org/abs/1811.07453v2 | Percentage error | 15.9 |
Speech Recognition | TIMIT | LSTM | http://arxiv.org/abs/1811.07453v2 | Percentage error | 16.0 |
Speech Recognition | TIMIT | Li-GRU | http://arxiv.org/abs/1811.07453v2 | Percentage error | 16.3 |
Speech Recognition | TIMIT | Hierarchical maxout CNN + Dropout | null | Percentage error | 16.5 |
Speech Recognition | TIMIT | RNN | http://arxiv.org/abs/1811.07453v2 | Percentage error | 16.5 |
Speech Recognition | TIMIT | GRU | http://arxiv.org/abs/1811.07453v2 | Percentage error | 16.6 |
Speech Recognition | TIMIT | CNN in time and frequency + dropout, 17.6% w/o dropout | null | Percentage error | 16.7 |
Speech Recognition | TIMIT | Light Gated Recurrent Units | http://arxiv.org/abs/1803.10225v1 | Percentage error | 16.7 |
Speech Recognition | TIMIT | RNN-CRF on 24(x3) MFSC | http://arxiv.org/abs/1603.00223v2 | Percentage error | 17.3 |
Speech Recognition | TIMIT | Bi-RNN + Attention | http://arxiv.org/abs/1506.07503v1 | Percentage error | 17.6 |
Speech Recognition | TIMIT | Bi-LSTM + skip connections w/ CTC | http://arxiv.org/abs/1303.5778v1 | Percentage error | 17.7 |
Speech Recognition | TIMIT | QCNN-10L-256FM | http://arxiv.org/abs/1806.07789v1 | Percentage error | 19.64 |
Speech Recognition | TIMIT | Soft Monotonic Attention (ours, offline) | http://arxiv.org/abs/1704.00784v2 | Percentage error | 20.1 |
Speech Recognition | TIMIT | LAS multitask with indicators sampling | https://arxiv.org/abs/1907.01914v1 | Percentage error | 20.4 |
Speech Recognition | TIMIT | LSNN | http://arxiv.org/abs/1803.09574v4 | Percentage error | 33.2 |
Speech Recognition | Google Speech Commands - Musan | ImportantAug | https://arxiv.org/abs/2112.07156v2 | Error rate - SNR 0dB | 13.3 |
Speech Recognition | LibriSpeech 100h test-other | Branchformer + GFSA | https://arxiv.org/abs/2312.04234v5 | Word Error Rate (WER) | 22.25 |
Speech Recognition | LibriSpeech 100h test-clean | Branchformer + GFSA | https://arxiv.org/abs/2312.04234v5 | Word Error Rate (WER) | 9.6 |
Speech Recognition | WSJ eval93 | Deep Speech 2 | http://arxiv.org/abs/1512.02595v1 | Word Error Rate (WER) | 4.98 |
Speech Recognition | WSJ eval93 | CTC-CRF 4gram-LM | https://ieeexplore.ieee.org/document/8682256 | Word Error Rate (WER) | 6.23 |
Speech Recognition | WSJ eval93 | Convolutional Speech Recognition | http://arxiv.org/abs/1812.06864v2 | Word Error Rate (WER) | 6.8 |
Speech Recognition | AISHELL-2 Test IOS | Qwen-Audio | https://arxiv.org/abs/2311.07919v2 | Word Error Rate (WER) | 3.1 |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R 1B + TEVR (5-gram) | https://arxiv.org/abs/2206.12693v1 | Test WER | 3.64% |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R 1B + TEVR (5-gram) | https://arxiv.org/abs/2206.12693v1 | Test CER | 1.54% |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R 1B + TEVR (4-gram) | https://arxiv.org/abs/2206.12693v1 | Test WER | 3.70% |
Speech Recognition | Common Voice German | ConformerCTC-L (5-gram) | https://arxiv.org/abs/2110.07982v1 | Test WER | 4.05% |
Speech Recognition | Common Voice German | ConformerCTC-L (5-gram) | https://arxiv.org/abs/2110.07982v1 | Test CER | 1.37% |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R 1B (5-gram) | https://arxiv.org/abs/2206.12693v1 | Test WER | 4.38% |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R 1B (5-gram) | https://arxiv.org/abs/2206.12693v1 | Test CER | 1.62% |
Speech Recognition | Common Voice German | ConformerCTC-L (4-gram) | https://arxiv.org/abs/1909.09577v1 | Test WER | 6.03% |
Speech Recognition | Common Voice German | Conformer Transducer (no LM) | https://ieeexplore.ieee.org/abstract/document/9854978/ | Test WER | 6.28% |
Speech Recognition | Common Voice German | Whisper (Large v2) | https://arxiv.org/abs/2212.04356v1 | Test WER | 6.4% |
Speech Recognition | Common Voice German | QuartzNet15x5DE (D37, 5-gram) | https://arxiv.org/abs/2110.07982v1 | Test WER | 6.6% |
Speech Recognition | Common Voice German | QuartzNet15x5DE (D37, 5-gram) | https://arxiv.org/abs/2110.07982v1 | Test CER | 2.7% |
Speech Recognition | Common Voice German | ConformerCTC-L (no LM) | https://arxiv.org/abs/1909.09577v1 | Test WER | 6.68% |
Speech Recognition | Common Voice German | ConformerCTC-L (no LM) | https://arxiv.org/abs/2110.07982v1 | Test WER | 7.33% |
Speech Recognition | Common Voice German | ConformerCTC-L (no LM) | https://arxiv.org/abs/2110.07982v1 | Test CER | 2.05% |
Speech Recognition | Common Voice German | QuartzNet15x5DE (CV-only, 5-gram) | https://arxiv.org/abs/2110.07982v1 | Test WER | 7.7% |
Speech Recognition | Common Voice German | QuartzNet15x5DE (CV-only, 5-gram) | https://arxiv.org/abs/2110.07982v1 | Test CER | 3.2% |
Speech Recognition | Common Voice German | VoxPopuli (n-gram) | https://arxiv.org/abs/2101.00390v2 | Test WER | 7.8% |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R 1B + TEVR (no LM) | https://arxiv.org/abs/2206.12693v1 | Test WER | 10.10% |
Speech Recognition | Common Voice German | wav2vec 2.0 XLS-R (no LM) | https://arxiv.org/abs/2206.12693v1 | Test WER | 12.06% |
Speech Recognition | GigaSpeech | Conformer/Transformer-AED | https://arxiv.org/abs/2106.06909v1 | Word Error Rate (WER) | 10.90 |
Speech Recognition | Common Voice | ConformerXXL-P + Downstream NST | https://arxiv.org/abs/2109.13226v3 | Test WER | 7.7% |
Speech Recognition | Common Voice | SpeechStew (1B) | https://arxiv.org/abs/2104.02133v3 | Test WER | 10.8% |
Speech Recognition | Hub5'00 FISHER-SWBD | CTC-CRF | https://arxiv.org/abs/2005.13326v2 | Word Error Rate (WER) | 12 |
Speech Recognition | LibriSpeech train-clean-100 test-other | wav2vec_wav2letter | https://arxiv.org/abs/2010.11430v1 | Word Error Rate (WER) | 3.6 |
Speech Recognition | Hub5'00 SwitchBoard | LAS + SpecAugment (with LM, Switchboard mild policy) | https://arxiv.org/abs/1904.08779v3 | CallHome | 14.6 |
Speech Recognition | Hub5'00 SwitchBoard | LAS + SpecAugment (with LM, Switchboard mild policy) | https://arxiv.org/abs/1904.08779v3 | SwitchBoard | 6.8 |
Speech Recognition | Hub5'00 SwitchBoard | LAS + SpecAugment (with LM, Switchboard strong policy) | https://arxiv.org/abs/1904.08779v3 | CallHome | 14 |
Speech Recognition | Hub5'00 SwitchBoard | LAS + SpecAugment (with LM, Switchboard strong policy) | https://arxiv.org/abs/1904.08779v3 | SwitchBoard | 7.1 |
Speech Recognition | Hub5'00 SwitchBoard | Jasper DR 10x5 | https://arxiv.org/abs/1904.03288v3 | CallHome | 16.2 |
Speech Recognition | Hub5'00 SwitchBoard | Jasper DR 10x5 | https://arxiv.org/abs/1904.03288v3 | SwitchBoard | 7.8 |
Speech Recognition | Hub5'00 SwitchBoard | CTC-CRF | https://arxiv.org/abs/2005.13326v2 | CallHome | 18.4 |
Speech Recognition | Hub5'00 SwitchBoard | CTC-CRF | https://arxiv.org/abs/2005.13326v2 | SwitchBoard | 9.7 |
Speech Recognition | Hub5'00 SwitchBoard | CTC-CRF | https://arxiv.org/abs/2005.13326v2 | Hub5'00 | 14.1 |
Speech Recognition | Hub5'00 SwitchBoard | Espresso | https://arxiv.org/abs/1909.08723v3 | Eval2000 | 9.2 |
Speech Recognition | LRS2 | RAVEn Large | https://arxiv.org/abs/2212.06246v2 | Word Error Rate (WER) | 2.1 |
Speech Recognition | Switchboard SWBD | SpeechStew (100M) | https://arxiv.org/abs/2104.02133v3 | Word Error Rate (WER) | 4.7 |
Speech Recognition | CALLHOME Spanish Speech | TDT 0-2 | https://arxiv.org/abs/2304.06795v2 | WER | 17.95 |
Speech Recognition | Speech Commands | Centaurus | https://arxiv.org/abs/2501.13230v1 | Accuracy (%) | 98.53 |
Speech Recognition | Speech Commands | Liquid-S4 | https://arxiv.org/abs/2209.12951v1 | Accuracy (%) | 98.51 |
Speech Recognition | Speech Commands | S4 | https://arxiv.org/abs/2111.00396v3 | Accuracy (%) | 98.32 |
Speech Recognition | AMI SDM1 | ConformerXXL-P | https://arxiv.org/abs/2109.13226v3 | Word Error Rate (WER) | 17.7 |
Speech Recognition | AMI SDM1 | SpeechStew (100M) | https://arxiv.org/abs/2104.02133v3 | Word Error Rate (WER) | 21.7 |
Speech Recognition | Hub5'00 CallHome | Espresso | https://arxiv.org/abs/1909.08723v3 | Word Error Rate (WER) | 19.1 |
Speech Recognition | WenetSpeech | Paraformer-large | https://arxiv.org/abs/2305.11013v1 | Character Error Rate (CER) | 6.97 |
Speech Recognition | WenetSpeech | Conformer-MoE (64e) | https://arxiv.org/abs/2204.03178v2 | Character Error Rate (CER) | 7.19 |
Speech Recognition | WenetSpeech | Zipformer+pruned transducer (no external language model) | https://arxiv.org/abs/2310.11230v4 | Character Error Rate (CER) | 7.29 |
Speech Recognition | WenetSpeech | Conformer-MoE (32e) | https://arxiv.org/abs/2204.03178v2 | Character Error Rate (CER) | 7.49 |
Speech Recognition | WenetSpeech | Conformer-MoE (16e) | https://arxiv.org/abs/2204.03178v2 | Character Error Rate (CER) | 7.67 |
Speech Recognition | WenetSpeech | Wenet | https://arxiv.org/abs/2110.03370v5 | Character Error Rate (CER) | 8.88 |
Speech Recognition | WenetSpeech | Kaldi | https://arxiv.org/abs/2110.03370v5 | Character Error Rate (CER) | 9.07 |
Speech Recognition | WenetSpeech | Espnet | https://arxiv.org/abs/2110.03370v5 | Character Error Rate (CER) | 9.7 |
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