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 > Accented Speech Recognition > Speech Synthesis | LibriTTS | PeriodWave + FreeU | https://arxiv.org/abs/2408.07547v1 | V/UV F1 | 0.9651 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | PeriodWave + FreeU | https://arxiv.org/abs/2408.07547v1 | M-STFT | 1.0269 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | RFWave | https://arxiv.org/abs/2403.05010v3 | PESQ | 4.228 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | RFWave | https://arxiv.org/abs/2403.05010v3 | Periodicity | 0.090 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | RFWave | https://arxiv.org/abs/2403.05010v3 | V/UV F1 | 0.968 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN (w/ snakebeta) | https://arxiv.org/abs/2309.02836v2 | PESQ | 4.120 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN (w/ snakebeta) | https://arxiv.org/abs/2309.02836v2 | MCD | 0.4129 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN (w/ snakebeta) | https://arxiv.org/abs/2309.02836v2 | Periodicity | 0.0924 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN (w/ snakebeta) | https://arxiv.org/abs/2309.02836v2 | V/UV F1 | 0.9644 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN (w/ snakebeta) | https://arxiv.org/abs/2309.02836v2 | M-STFT | 0.7992 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN | https://arxiv.org/abs/2309.02836v2 | PESQ | 4.116 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN | https://arxiv.org/abs/2309.02836v2 | MCD | 0.3381 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN | https://arxiv.org/abs/2309.02836v2 | Periodicity | 0.0935 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN | https://arxiv.org/abs/2309.02836v2 | V/UV F1 | 0.9635 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVSAN | https://arxiv.org/abs/2309.02836v2 | M-STFT | 0.7881 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | EVA-GAN-base | https://arxiv.org/abs/2402.00892v1 | PESQ | 4.0330 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | EVA-GAN-base | https://arxiv.org/abs/2402.00892v1 | Periodicity | 0.0942 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | EVA-GAN-base | https://arxiv.org/abs/2402.00892v1 | V/UV F1 | 0.9658 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | EVA-GAN-base | https://arxiv.org/abs/2402.00892v1 | M-STFT | 0.9485 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN | https://arxiv.org/abs/2206.04658v2 | PESQ | 4.027 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN | https://arxiv.org/abs/2206.04658v2 | MCD | 0.3745 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN | https://arxiv.org/abs/2206.04658v2 | Periodicity | 0.1018 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN | https://arxiv.org/abs/2206.04658v2 | V/UV F1 | 0.9598 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN | https://arxiv.org/abs/2206.04658v2 | M-STFT | 0.7997 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | Vocos | https://arxiv.org/abs/2306.00814v3 | PESQ | 3.70 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | Vocos | https://arxiv.org/abs/2306.00814v3 | Periodicity | 0.101 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | Vocos | https://arxiv.org/abs/2306.00814v3 | V/UV F1 | 0.9582 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN-base | https://arxiv.org/abs/2206.04658v2 | PESQ | 3.519 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN-base | https://arxiv.org/abs/2206.04658v2 | MCD | 0.4564 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN-base | https://arxiv.org/abs/2206.04658v2 | Periodicity | 0.1287 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN-base | https://arxiv.org/abs/2206.04658v2 | V/UV F1 | 0.9459 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | BigVGAN-base | https://arxiv.org/abs/2206.04658v2 | M-STFT | 0.8788 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveGlow | http://arxiv.org/abs/1811.00002v1 | PESQ | 3.138 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveGlow | http://arxiv.org/abs/1811.00002v1 | MCD | 2.3591 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveGlow | http://arxiv.org/abs/1811.00002v1 | Periodicity | 0.1485 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveGlow | http://arxiv.org/abs/1811.00002v1 | V/UV F1 | 0.9378 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveGlow | http://arxiv.org/abs/1811.00002v1 | M-STFT | 1.3099 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveFlow | https://arxiv.org/abs/1912.01219v4 | PESQ | 3.027 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveFlow | https://arxiv.org/abs/1912.01219v4 | MCD | 1.2455 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveFlow | https://arxiv.org/abs/1912.01219v4 | Periodicity | 0.1416 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveFlow | https://arxiv.org/abs/1912.01219v4 | V/UV F1 | 0.9410 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | WaveFlow | https://arxiv.org/abs/1912.01219v4 | M-STFT | 1.1120 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | HiFi-GAN | https://arxiv.org/abs/2010.05646v2 | PESQ | 2.947 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | HiFi-GAN | https://arxiv.org/abs/2010.05646v2 | MCD | 0.6603 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | HiFi-GAN | https://arxiv.org/abs/2010.05646v2 | Periodicity | 0.1565 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | HiFi-GAN | https://arxiv.org/abs/2010.05646v2 | V/UV F1 | 0.9300 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | HiFi-GAN | https://arxiv.org/abs/2010.05646v2 | M-STFT | 1.0017 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | SC-WaveRNN | https://arxiv.org/abs/2008.05289v1 | PESQ | 1.701 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | SC-WaveRNN | https://arxiv.org/abs/2008.05289v1 | MCD | 1.8854 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | SC-WaveRNN | https://arxiv.org/abs/2008.05289v1 | Periodicity | 0.3044 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | SC-WaveRNN | https://arxiv.org/abs/2008.05289v1 | V/UV F1 | 0.8144 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis | LibriTTS | SC-WaveRNN | https://arxiv.org/abs/2008.05289v1 | M-STFT | 2.2358 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Gujarati | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.58 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Gujarati | ToN_IoT | MLP | https://arxiv.org/abs/1806.09235v2 | Accuray | 128 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Tamil | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.84 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Kannada | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.68 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Malayalam | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.64 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Telugu | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.66 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Assamese | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 2.39 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Bengali | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.37 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Bodo | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.53 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Hindi | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 4.00 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Manipuri | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.30 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Marathi | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.26 |
Speech Recognition > Accented Speech Recognition > Speech Synthesis > Speech Synthesis - Rajasthani | IndicTTS | AI4BharatTTS - FastPitch with HiFiGAN | https://arxiv.org/abs/2211.09536v3 | Mean Opinion Score | 3.40 |
Speech Recognition > Noisy Speech Recognition | CHiME real | Distortion-Independent + WRBN + Utterance-Wise Recurrent Dropout + Magnitude Features | null | Percentage error | 7.8 |
Speech Recognition > Noisy Speech Recognition | CHiME real | HMM-TDNN(LFMMI) + LSTMLM | http://arxiv.org/abs/1803.10109v1 | Percentage error | 11.4 |
Speech Recognition > Noisy Speech Recognition | CHiME real | Li-GRU | http://arxiv.org/abs/1811.07453v2 | Percentage error | 14.6 |
Speech Recognition > Noisy Speech Recognition | CHiME real | Deep Speech 2 | http://arxiv.org/abs/1512.02595v1 | Percentage error | 21.79 |
Speech Recognition > Noisy Speech Recognition | CHiME real | CNN + Bi-RNN + CTC (speech to letters) | http://arxiv.org/abs/1412.5567v2 | Percentage error | 67.94 |
Speech Recognition > Noisy Speech Recognition | CHiME clean | Deep Speech 2 | http://arxiv.org/abs/1512.02595v1 | Percentage error | 3.34 |
Speech Recognition > Noisy Speech Recognition | CHiME clean | CNN + Bi-RNN + CTC (speech to letters) | http://arxiv.org/abs/1412.5567v2 | Percentage error | 6.3 |
Part-Of-Speech Tagging | Penn Treebank | SALE-BART encoder | https://ieeexplore.ieee.org/document/9817134 | Accuracy | 98.15 |
Part-Of-Speech Tagging | Penn Treebank | Meta BiLSTM | http://arxiv.org/abs/1805.08237v1 | Accuracy | 97.96 |
Part-Of-Speech Tagging | Penn Treebank | Flair embeddings | https://aclanthology.org/C18-1139 | Accuracy | 97.85 |
Part-Of-Speech Tagging | Penn Treebank | Char Bi-LSTM | http://arxiv.org/abs/1508.02096v2 | Accuracy | 97.78 |
Part-Of-Speech Tagging | Penn Treebank | CVT + Multi-task | http://arxiv.org/abs/1809.08370v1 | Accuracy | 97.76 |
Part-Of-Speech Tagging | Penn Treebank | SpanRel | https://arxiv.org/abs/1911.03822v2 | Accuracy | 97.7 |
Part-Of-Speech Tagging | Penn Treebank | BiLSTM-LAN | https://arxiv.org/abs/1908.08676v3 | Accuracy | 97.65 |
Part-Of-Speech Tagging | Penn Treebank | Adversarial Bi-LSTM | http://arxiv.org/abs/1711.04903v2 | Accuracy | 97.59 |
Part-Of-Speech Tagging | Penn Treebank | IntNet + BiLSTM-CRF | http://arxiv.org/abs/1810.12443v1 | Accuracy | 97.58 |
Part-Of-Speech Tagging | Penn Treebank | Yang et al. | http://arxiv.org/abs/1703.06345v1 | Accuracy | 97.55 |
Part-Of-Speech Tagging | Penn Treebank | BLSTM-CNN-CRF | http://arxiv.org/abs/1603.01354v5 | Accuracy | 97.55 |
Part-Of-Speech Tagging | Penn Treebank | S-LSTM | http://arxiv.org/abs/1805.02474v1 | Accuracy | 97.55 |
Part-Of-Speech Tagging | Penn Treebank | LM-LSTM-CRF | http://arxiv.org/abs/1709.04109v4 | Accuracy | 97.53 |
Part-Of-Speech Tagging | Penn Treebank | NCRF++ | http://arxiv.org/abs/1806.05626v2 | Accuracy | 97.49 |
Part-Of-Speech Tagging | Penn Treebank | Bi-LSTM + LMcost | http://arxiv.org/abs/1704.07156v1 | Accuracy | 97.43 |
Part-Of-Speech Tagging | Penn Treebank | Feed Forward | https://aclanthology.org/N16-1027 | Accuracy | 97.4 |
Part-Of-Speech Tagging | Penn Treebank | Bi-LSTM | http://arxiv.org/abs/1508.02096v2 | Accuracy | 97.36 |
Part-Of-Speech Tagging | Penn Treebank | Bi-LSTM + charattn | http://arxiv.org/abs/1611.04361v1 | Accuracy | 97.27 |
Part-Of-Speech Tagging | Penn Treebank | Bi-LSTM | http://arxiv.org/abs/1604.05529v3 | Accuracy | 97.22 |
Part-Of-Speech Tagging | Spoken Corpus | CamemBERT | https://arxiv.org/abs/1911.03894v3 | UPOS | 96.68 |
Part-Of-Speech Tagging | UD2.5 test | Trankit | https://arxiv.org/abs/2101.03289v5 | Macro-averaged F1 | 95.65 |
Part-Of-Speech Tagging | UD2.5 test | Stanza | https://arxiv.org/abs/2101.03289v5 | Macro-averaged F1 | 94.21 |
Part-Of-Speech Tagging | Ritter | ACE | https://arxiv.org/abs/2010.05006v4 | Acc | 93.4 |
Part-Of-Speech Tagging | Ritter | Gui et al., 2018 | https://aclanthology.org/D18-1275 | Acc | 91.2 |
Part-Of-Speech Tagging | Ritter | Gui et al., 2017 | https://aclanthology.org/D17-1256 | Acc | 90.9 |
Part-Of-Speech Tagging | Ritter | BERTweet | https://arxiv.org/abs/2005.10200v2 | Acc | 90.1 |
Part-Of-Speech Tagging | ANTILLES | Bi-LSTM-CRF + Flair Embeddings + CamemBERT (oscar−138gb−base) Embeddings | https://www.archives-ouvertes.fr/hal-03696042/ | Weighted Average F1-score | 97.98 |
Part-Of-Speech Tagging | French GSD | CamemBERT | https://arxiv.org/abs/1911.03894v3 | UPOS | 98.19 |
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