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 | Common Voice French | ConformerCTC-L (no-LM) | https://arxiv.org/abs/2110.07982v1 | Test WER | 10.19 % |
Speech Recognition | Common Voice French | QuartzNet15x5FR (D7) | https://arxiv.org/abs/2110.07982v1 | Test WER | 11.0% |
Speech Recognition | Common Voice French | QuartzNet15x5FR (CV-only) | https://arxiv.org/abs/2110.07982v1 | Test WER | 12.1% |
Speech Recognition | Common Voice French | Whisper (Large v2) | https://arxiv.org/abs/2212.04356v1 | Test WER | 13.9% |
Speech Recognition | Common Voice Italian | Whisper (Large v2) | https://arxiv.org/abs/2212.04356v1 | Test WER | 7.1% |
Speech Recognition | Common Voice Italian | QuartzNet15x5IT (D5) | https://arxiv.org/abs/2110.07982v1 | Test WER | 11.5% |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | Whisper | https://arxiv.org/abs/2406.10082v3 | Test WER | 1.3 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | CTC/Attention | https://arxiv.org/abs/2303.14307v3 | Test WER | 1.5 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | MoCo + wav2vec (w/o extLM) | https://arxiv.org/abs/2203.07996v2 | Test WER | 2.7 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | End2end Conformer | https://arxiv.org/abs/2102.06657v1 | Test WER | 3.9 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | Whisper-LLaMA | https://arxiv.org/abs/2310.06434v2 | Test WER | 6.6 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | LF-MMI TDNN | https://arxiv.org/abs/2001.01656v1 | Test WER | 6.7 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | CTC/attention | http://arxiv.org/abs/1810.00108v1 | Test WER | 8.2 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | TM-seq2seq | http://arxiv.org/abs/1809.02108v2 | Test WER | 9.7 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS2 | TM-CTC | http://arxiv.org/abs/1809.02108v2 | Test WER | 10.1 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS3-TED | DistillAV | https://arxiv.org/abs/2502.05766v1 | WER | 1.4 |
Speech Recognition > Automatic Speech Recognition (ASR) | LRS3-TED | CTC/Attention | https://arxiv.org/abs/2303.14307v3 | Word Error Rate (WER) | 1 |
Speech Recognition > Automatic Speech Recognition (ASR) | The Spoken Wikipedia Corpora | Conformer Transducer | https://ieeexplore.ieee.org/abstract/document/9854978/ | WER (%) | 8.04% |
Speech Recognition > Automatic Speech Recognition (ASR) | Sagalee | Whisper-largev3-finetuned | https://arxiv.org/abs/2502.00421v1 | Test WER | 10.82 |
Speech Recognition > Automatic Speech Recognition (ASR) | Sagalee | Conformer | https://arxiv.org/abs/2502.00421v1 | Test WER | 15.32 |
Speech Recognition > Automatic Speech Recognition (ASR) | RealMAN | CleanMel-L-mask | https://arxiv.org/abs/2502.20040v1 | CER | 14.4 |
Speech Recognition > Automatic Speech Recognition (ASR) | RealMAN | SpatialNet | null | CER | 14.5 |
Speech Recognition > Automatic Speech Recognition (ASR) | HUI speech corpus | Conformer Transducer | https://ieeexplore.ieee.org/abstract/document/9854978/ | WER (%) | 1.89% |
Speech Recognition > Automatic Speech Recognition (ASR) | Voxforge German | Conformer Transducer | https://ieeexplore.ieee.org/abstract/document/9854978/ | WER (%) | 3.36% |
Speech Recognition > Automatic Speech Recognition (ASR) | M-AILabs speech dataset | Conformer Transducer | https://ieeexplore.ieee.org/abstract/document/9854978/ | WER (%) | 4.28% |
Speech Recognition > Automatic Speech Recognition (ASR) | VoxPopuli | Conformer Transducer (German) | https://ieeexplore.ieee.org/abstract/document/9854978/ | WER (%) | 8.98% |
Speech Recognition > Automatic Speech Recognition (ASR) > Automatic Phoneme Recognition | VibraVox (throat microphone) | medium wav2vec2.0 | https://arxiv.org/abs/2407.11828v4 | Test PER | 0.073 |
Speech Recognition > Automatic Speech Recognition (ASR) > Automatic Phoneme Recognition | VibraVox (headset microphone) | medium wav2vec2.0 | https://arxiv.org/abs/2407.11828v4 | Test PER | 0.028 |
Speech Recognition > Automatic Speech Recognition (ASR) > Automatic Phoneme Recognition | VibraVox (forehead accelerometer) | medium wav2vec2.0 | https://arxiv.org/abs/2407.11828v4 | Test PER | 0.046 |
Speech Recognition > Automatic Speech Recognition (ASR) > Automatic Phoneme Recognition | VibraVox (soft in-ear microphone) | medium wav2vec2.0 | https://arxiv.org/abs/2407.11828v4 | Test PER | 0.041 |
Speech Recognition > Automatic Speech Recognition (ASR) > Automatic Phoneme Recognition | VibraVox (rigid in-ear microphone) | medium wav2vec2.0 | https://arxiv.org/abs/2407.11828v4 | Test PER | 0.045 |
Speech Recognition > Automatic Speech Recognition (ASR) > Automatic Phoneme Recognition | VibraVox (temple vibration pickup) | medium wav2vec2.0 | https://arxiv.org/abs/2407.11828v4 | Test PER | 0.142 |
Speech Recognition > Visual Speech Recognition | LRS3-TED | CTC/Attention | https://arxiv.org/abs/2303.14307v3 | Word Error Rate (WER) | 19.1 |
Speech Recognition > Visual Speech Recognition | LRS3-TED | VTP with more data | https://arxiv.org/abs/2110.07603v2 | Word Error Rate (WER) | 30.7 |
Speech Recognition > Visual Speech Recognition | LRS3-TED | VTP | https://arxiv.org/abs/2110.07603v2 | Word Error Rate (WER) | 40.6 |
Speech Recognition > Visual Speech Recognition | LRS2 | VTP with more data | https://arxiv.org/abs/2110.07603v2 | Word Error Rate (WER) | 22.6 |
Speech Recognition > Visual Speech Recognition | LRS2 | VTP | https://arxiv.org/abs/2110.07603v2 | Word Error Rate (WER) | 28.9 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis | LRW | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.543 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis | LRW | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.344 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis | LRW | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.197 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (EH) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | STOI | 0.463 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (EH) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | ESTOI | 0.304 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (EH) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | PESQ | 1.362 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (EH) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.369 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (EH) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.22 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (EH) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.367 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chess) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | STOI | 0.506 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chess) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | ESTOI | 0.334 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chess) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | PESQ | 1.503 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chess) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.418 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chess) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.29 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chess) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.4 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (DL) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | STOI | 0.576 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (DL) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | ESTOI | 0.402 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (DL) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | PESQ | 1.612 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (DL) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.282 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (DL) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.183 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (DL) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.671 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (HS) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | STOI | 0.504 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (HS) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | ESTOI | 0.337 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (HS) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | PESQ | 1.366 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (HS) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.446 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (HS) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.311 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (HS) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.29 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chem) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | STOI | 0.566 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chem) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | ESTOI | 0.429 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chem) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | PESQ | 1.529 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chem) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.416 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chem) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.284 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | Lip2Wav (Chem) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.3 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | TCD-TIMIT corpus (mixed-speech) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.558 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | TCD-TIMIT corpus (mixed-speech) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 36.5 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | TCD-TIMIT corpus (mixed-speech) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.35 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | GRID corpus (mixed-speech) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | STOI | 0.738 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | GRID corpus (mixed-speech) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | ESTOI | 0.579 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | GRID corpus (mixed-speech) | Visual Voice Memory | https://ieeexplore.ieee.org/document/9618777 | PESQ | 1.984 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | GRID corpus (mixed-speech) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | STOI | 0.731 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | GRID corpus (mixed-speech) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | ESTOI | 0.535 |
Speech Recognition > Visual Speech Recognition > Lip to Speech Synthesis > Speaker-Specific Lip to Speech Synthesis | GRID corpus (mixed-speech) | Lip2Wav | https://arxiv.org/abs/2005.08209v1 | PESQ | 1.772 |
Speech Recognition > Distant Speech Recognition | DIRHA English WSJ | Li-GRU | http://arxiv.org/abs/1811.07453v2 | Word Error Rate (WER) | 23.9 |
Speech Recognition > Distant Speech Recognition | DIRHA English WSJ | PASE-FineTuned | http://arxiv.org/abs/1904.03416v1 | Word Error Rate (WER) | 29.8 |
Speech Recognition > Distant Speech Recognition | DIRHA English WSJ | SincNet-Raw waveform | https://arxiv.org/abs/1811.09725v2 | Word Error Rate (WER) | 38.2 |
Speech Recognition > Distant Speech Recognition | CHiME-4 real 6ch | Complex Spectral Mapping + WRBN + Utterance-Wise Dropout + Iterative Speaker Adaptation | null | Word Error Rate (WER) | 1.99 |
Speech Recognition > Distant Speech Recognition | CHiME-4 real 6ch | HMM-TDNN(LFMMI) + LSTMLM + NN-GEV | http://arxiv.org/abs/1803.10109v1 | Word Error Rate (WER) | 2.74 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v3 | https://arxiv.org/abs/2408.06370v1 | Word Error Rate (WER) | 16.1 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v3 | https://arxiv.org/abs/2408.06370v1 | Punctuation F1 | 57.0 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v3 | https://arxiv.org/abs/2408.06370v1 | Line break F1 | 84.4 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v3 | https://arxiv.org/abs/2408.06370v1 | Section break F1 | 73.9 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v3 | https://arxiv.org/abs/2408.06370v1 | Parenthesis F-1 | 29.4 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v3 | https://arxiv.org/abs/2408.06370v1 | Case-Sensitive Word Error Rate | 20.1 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v1 | https://arxiv.org/abs/2311.13987v1 | Word Error Rate (WER) | 26.0 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v1 | https://arxiv.org/abs/2311.13987v1 | Case Error Rate | 3.4 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v1 | https://arxiv.org/abs/2311.13987v1 | Punctuation F1 | 50.5 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v1 | https://arxiv.org/abs/2311.13987v1 | Line break F1 | 82.3 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v1 | https://arxiv.org/abs/2311.13987v1 | Section break F1 | 72.1 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | AudioShake v1 | https://arxiv.org/abs/2311.13987v1 | Parenthesis F-1 | 29.4 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | Whisper v2 +lang | https://arxiv.org/abs/2408.06370v1 | Word Error Rate (WER) | 27.9 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | Whisper v2 +lang | https://arxiv.org/abs/2408.06370v1 | Punctuation F1 | 45.0 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | Whisper v2 +lang | https://arxiv.org/abs/2408.06370v1 | Line break F1 | 70.4 |
Speech Recognition > Automatic Lyrics Transcription | Jam-ALT | Whisper v2 +lang | https://arxiv.org/abs/2408.06370v1 | Section break F1 | 3.7 |
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