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 ⌀ |
|---|---|---|---|---|---|
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V2 20 | 94.5 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V1 12 | 95.6 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V2 12 | 96.9 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V1 2 | 99.2 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V1 20 | 94.1 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V1 35 | 94.3 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V2 2 | 99.4 |
Keyword Spotting | Google Speech Commands | Attention RNN | http://arxiv.org/abs/1808.08929v1 | Google Speech Commands V2 35 | 93.9 |
Keyword Spotting | Google Speech Commands | DS-CNN | http://arxiv.org/abs/1711.07128v3 | Google Speech Commands V1 12 | 94.4 |
Keyword Spotting | Google Speech Commands | GRU | http://arxiv.org/abs/1711.07128v3 | Google Speech Commands V1 12 | 93.5 |
Keyword Spotting | Google Speech Commands | LSTM | http://arxiv.org/abs/1711.07128v3 | Google Speech Commands V1 12 | 92.9 |
Keyword Spotting | Google Speech Commands | Basic LSTM | http://arxiv.org/abs/1711.07128v3 | Google Speech Commands V1 12 | 92.0 |
Keyword Spotting | Google Speech Commands | DNN | http://arxiv.org/abs/1711.07128v3 | Google Speech Commands V1 12 | 91.6 |
Keyword Spotting | Google Speech Commands | CNN | http://arxiv.org/abs/1711.07128v3 | Google Speech Commands V1 12 | 84.6 |
Keyword Spotting | Google Speech Commands | WaveFormer | https://ieeexplore.ieee.org/document/10546828 | Google Speech Commands V2 12 | 98.8 |
Keyword Spotting | Google Speech Commands | WaveFormer | https://ieeexplore.ieee.org/document/10546828 | Google Speech Commands V2 35 | 99.1 |
Keyword Spotting | Google Speech Commands | EdgeCRNN 2.0× | https://link.springer.com/article/10.1007/s12652-021-03022-1 | Google Speech Commands V2 12 | 98.05 |
Keyword Spotting | Google Speech Commands | Embedding + Head | https://arxiv.org/abs/2002.01322v1 | Google Speech Commands V2 12 | 97.7 |
Keyword Spotting | Google Speech Commands | Head without Embedding | https://arxiv.org/abs/2002.01322v1 | Google Speech Commands V2 12 | 97.4 |
Keyword Spotting | Google Speech Commands | TC-ResNet14-1.5 | https://arxiv.org/abs/1904.03814v2 | Google Speech Commands V2 12 | 96.6 |
Keyword Spotting | Google Speech Commands | End-to-end KWS model | https://arxiv.org/abs/2104.06666v1 | Google Speech Commands V2 12 | 95.55 |
Keyword Spotting | Google Speech Commands | MicroNet-KWS-L | https://arxiv.org/abs/2010.11267v6 | Google Speech Commands V2 12 | 95.3 |
Keyword Spotting | Google Speech Commands | DenseNet-BiLTSM | https://ieeexplore.ieee.org/document/8607038 | Google Speech Commands V2 20 | 96.6 |
Keyword Spotting | Google Speech Commands | LSTM | https://arxiv.org/abs/1907.04536v1 | Google Speech Commands V2 20 | 93.72 |
Keyword Spotting | Google Speech Commands | QNN | https://ieeexplore.ieee.org/document/10248052 | Google Speech Commands V2 35 | 98.60 |
Keyword Spotting | Google Speech Commands | QNN | https://ieeexplore.ieee.org/document/10248052 | Google Speech Commands | 98.53 |
Keyword Spotting | Google Speech Commands | M2D | https://arxiv.org/abs/2210.14648v3 | Google Speech Commands V2 35 | 98.5 |
Keyword Spotting | Google Speech Commands | EAT-S | https://arxiv.org/abs/2204.11479v5 | Google Speech Commands V2 35 | 98.15 |
Keyword Spotting | Google Speech Commands | Audio Spectrogram Transformer | https://arxiv.org/abs/2104.01778v3 | Google Speech Commands V2 35 | 98.11 |
Keyword Spotting | Google Speech Commands | HTS-AT | https://arxiv.org/abs/2202.00874v1 | Google Speech Commands V2 35 | 98.0 |
Keyword Spotting | Google Speech Commands | KW-MLP | https://arxiv.org/abs/2110.07749v3 | Google Speech Commands V2 35 | 97.56 |
Keyword Spotting | Google Speech Commands | ImportantAug | https://arxiv.org/abs/2112.07156v2 | Google Speech Commands V2 35 | 95 |
Keyword Spotting | Google Speech Commands | ImportantAug | https://arxiv.org/abs/2112.07156v2 | Google Speech Command-Musan | 86.7 |
Keyword Spotting | Google Speech Commands | NAS2 | https://arxiv.org/abs/2009.00165v2 | Google Speech Commands V1 6 | 97.22 |
Keyword Spotting | Google Speech Commands | Quantum CNN | https://arxiv.org/abs/2010.13309v2 | 10-keyword Speech Commands dataset | 95.12 |
Keyword Spotting | Google Speech Commands | TDNN | http://arxiv.org/abs/1807.04353v2 | 10-keyword Speech Commands dataset | 94.3 |
Keyword Spotting | Google Speech Commands | PATE-AAE (Differentially-Private) | https://arxiv.org/abs/2104.01271v2 | 10-keyword Speech Commands dataset | 92.37 |
Keyword Spotting | Google Speech Commands | res8 w/ SSN(S=4, A=Sub) | https://arxiv.org/abs/2103.13620v1 | % Test Accuracy | 95.4% ±0.22 |
Keyword Spotting | Google Speech Commands | res15 w/ SSN(S=4, A=Sub) | https://arxiv.org/abs/2103.13620v1 | % Test Accuracy | 96.8% ±0.13 |
Keyword Spotting | Google Speech Commands | res15 w/ SSN(S=4, A=Sub) (2019) | https://arxiv.org/abs/2103.13620v1 | % Test Accuracy | 97.5% ±0.15 |
Keyword Spotting | Google Speech Commands (v2) | Quaternion Neural Networks | https://ieeexplore.ieee.org/document/10248052 | Accuracy(10-fold) | 98.53 |
Keyword Spotting | VoxForge | 1D-ConvNet | https://arxiv.org/abs/1910.04269v1 | Accuracy (%) | 93.7 |
Keyword Spotting | VoxForge | 2D-ConvNet | https://arxiv.org/abs/1910.04269v1 | Accuracy (%) | 95.4 |
Keyword Spotting | TensorFlow | TensorFlow's model version 2 | http://arxiv.org/abs/1804.03209v1 | TFMA | 89.7 |
Keyword Spotting | TensorFlow | TensorFlow's model version 1 | http://arxiv.org/abs/1804.03209v1 | TFMA | 85.4 |
Keyword Spotting | TAU Urban Acoustic Scenes 2019 | CP-ResNet(ch64) w/ SSN(S=2, A=Sub) | https://arxiv.org/abs/2103.13620v1 | Accuracy | 83.6% ±0.07 |
Keyword Spotting | TAU Urban Acoustic Scenes 2019 | CP-ResNet(ch128) w/ SSN(S=2, A=Sub) | https://arxiv.org/abs/2103.13620v1 | Accuracy | 84.1% ±0.20 |
Keyword Spotting | QUESST | ELiRF Fusion+Length(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | Cnxe | 0.6023 |
Keyword Spotting | QUESST | ELiRF Fusion+Length(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | MinCnxe | 0.5977 |
Keyword Spotting | QUESST | ELiRF Fusion+Length(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | ATWV | 0.3792 |
Keyword Spotting | QUESST | ELiRF Fusion+Length(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | MTWV | 0.3801 |
Keyword Spotting | QUESST | ELiRF Fusion(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | Cnxe | 0.6125 |
Keyword Spotting | QUESST | ELiRF Fusion(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | MinCnxe | 0.6062 |
Keyword Spotting | QUESST | ELiRF Fusion(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | ATWV | 0.3896 |
Keyword Spotting | QUESST | ELiRF Fusion(All Queries) | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf | MTWV | 0.3952 |
Keyword Spotting | QUESST | CUHK(all the queries) System №2 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | Cnxe | 0.638 |
Keyword Spotting | QUESST | CUHK(all the queries) System №2 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | MinCnxe | 0.585 |
Keyword Spotting | QUESST | CUHK(all the queries) System №2 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | ATWV | 0.412 |
Keyword Spotting | QUESST | CUHK(all the queries) System №2 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | MTWV | 0.413 |
Keyword Spotting | QUESST | GTTS-EHU p (for the development set) | https://www.researchgate.net/publication/272497764_GTTS-EHU_Systems_for_QUESST_at_MediaEval_2014 | Cnxe | 0.6540 |
Keyword Spotting | QUESST | GTTS-EHU p (for the development set) | https://www.researchgate.net/publication/272497764_GTTS-EHU_Systems_for_QUESST_at_MediaEval_2014 | MinCnxe | 0.6353 |
Keyword Spotting | QUESST | GTTS-EHU p (for the development set) | https://www.researchgate.net/publication/272497764_GTTS-EHU_Systems_for_QUESST_at_MediaEval_2014 | ATWV | 0.3567 |
Keyword Spotting | QUESST | GTTS-EHU p (for the development set) | https://www.researchgate.net/publication/272497764_GTTS-EHU_Systems_for_QUESST_at_MediaEval_2014 | MTWV | 0.3663 |
Keyword Spotting | QUESST | GTTS-EHU p (for the development set) | https://www.researchgate.net/publication/272497764_GTTS-EHU_Systems_for_QUESST_at_MediaEval_2014 | SSF | 0.064 |
Keyword Spotting | QUESST | GTTS-EHU p (for the development set) | https://www.researchgate.net/publication/272497764_GTTS-EHU_Systems_for_QUESST_at_MediaEval_2014 | PMUs | 0.208 |
Keyword Spotting | QUESST | CUHK(all the queries) System №1 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | Cnxe | 0.682 |
Keyword Spotting | QUESST | CUHK(all the queries) System №1 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | MinCnxe | 0.659 |
Keyword Spotting | QUESST | CUHK(all the queries) System №1 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | ATWV | 0.412 |
Keyword Spotting | QUESST | CUHK(all the queries) System №1 | http://ceur-ws.org/Vol-1263/mediaeval2014_submission_73.pdf | MTWV | 0.413 |
Keyword Spotting | QUESST | NNI DTW(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | Cnxe | 0.6925 |
Keyword Spotting | QUESST | NNI DTW(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | MinCnxe | 0.6816 |
Keyword Spotting | QUESST | NNI DTW(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | ATWV | 0.2918 |
Keyword Spotting | QUESST | NNI DTW(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | MTWV | 0.2974 |
Keyword Spotting | QUESST | SPL-IT(for the development set) | https://www.semanticscholar.org/paper/The-SPL-IT-Query-by-Example-Search-on-Speech-system-Proen%C3%A7a-Veiga/585adf71147015b4fbb4167758d3f18e33e50fdd | Cnxe | 0.7106 |
Keyword Spotting | QUESST | SPL-IT(for the development set) | https://www.semanticscholar.org/paper/The-SPL-IT-Query-by-Example-Search-on-Speech-system-Proen%C3%A7a-Veiga/585adf71147015b4fbb4167758d3f18e33e50fdd | MinCnxe | 0.5881 |
Keyword Spotting | QUESST | SPL-IT(for the development set) | https://www.semanticscholar.org/paper/The-SPL-IT-Query-by-Example-Search-on-Speech-system-Proen%C3%A7a-Veiga/585adf71147015b4fbb4167758d3f18e33e50fdd | ATWV | 0.4051 |
Keyword Spotting | QUESST | SPL-IT(for the development set) | https://www.semanticscholar.org/paper/The-SPL-IT-Query-by-Example-Search-on-Speech-system-Proen%C3%A7a-Veiga/585adf71147015b4fbb4167758d3f18e33e50fdd | MTWV | 0.4052 |
Keyword Spotting | QUESST | NNI Symbolic(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | Cnxe | 0.7322 |
Keyword Spotting | QUESST | NNI Symbolic(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | MinCnxe | 0.7293 |
Keyword Spotting | QUESST | NNI Symbolic(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | ATWV | 0.2696 |
Keyword Spotting | QUESST | NNI Symbolic(All Queries) | http://www.npu-aslp.org/lxie/papers/2014QUESST-NNI.pdf | MTWV | 0.2717 |
Keyword Spotting | QUESST | NNI (eval) | http://ceur-ws.org/Vol-1436/Paper14.pdf | Cnxe | 0.761 |
Keyword Spotting | QUESST | NNI (eval) | http://ceur-ws.org/Vol-1436/Paper14.pdf | MinCnxe | 0.747 |
Keyword Spotting | QUESST | NNI (eval) | http://ceur-ws.org/Vol-1436/Paper14.pdf | ATWV | 0.270 |
Keyword Spotting | QUESST | NNI (eval) | http://ceur-ws.org/Vol-1436/Paper14.pdf | MTWV | 0.274 |
Keyword Spotting | QUESST | NNI (dev) | http://ceur-ws.org/Vol-1436/Paper14.pdf | Cnxe | 0.773 |
Keyword Spotting | QUESST | NNI (dev) | http://ceur-ws.org/Vol-1436/Paper14.pdf | MinCnxe | 0.757 |
Keyword Spotting | QUESST | NNI (dev) | http://ceur-ws.org/Vol-1436/Paper14.pdf | ATWV | 0.286 |
Keyword Spotting | QUESST | NNI (dev) | http://ceur-ws.org/Vol-1436/Paper14.pdf | MTWV | 0.286 |
Keyword Spotting | QUESST | SPL-IT-UC [All + side-info] (dev) | http://ceur-ws.org/Vol-1436/Paper47.pdf | Cnxe | 0.7782 |
Keyword Spotting | QUESST | SPL-IT-UC [All + side-info] (dev) | http://ceur-ws.org/Vol-1436/Paper47.pdf | MinCnxe | 0.7716 |
Keyword Spotting | QUESST | SPL-IT-UC [Hmean + side-info] (eval) | http://ceur-ws.org/Vol-1436/Paper47.pdf | Cnxe | 0.7842 |
Keyword Spotting | QUESST | SPL-IT-UC [Hmean + side-info] (eval) | http://ceur-ws.org/Vol-1436/Paper47.pdf | MinCnxe | 0.7786 |
Keyword Spotting | QUESST | SPL-IT-UC [Hmean + side-info] (dev) | http://ceur-ws.org/Vol-1436/Paper47.pdf | Cnxe | 0.7862 |
Keyword Spotting | QUESST | SPL-IT-UC [Hmean + side-info] (dev) | http://ceur-ws.org/Vol-1436/Paper47.pdf | MinCnxe | 0.7800 |
Keyword Spotting | QUESST | SPL-IT-UC [All + side-info] (eval) | http://ceur-ws.org/Vol-1436/Paper47.pdf | Cnxe | 0.7866 |
Keyword Spotting | QUESST | SPL-IT-UC [All + side-info] (eval) | http://ceur-ws.org/Vol-1436/Paper47.pdf | MinCnxe | 0.7809 |
Keyword Spotting | QUESST | SPL-IT-UC [All, no side] (dev) | http://ceur-ws.org/Vol-1436/Paper47.pdf | Cnxe | 0.7873 |
Keyword Spotting | QUESST | SPL-IT-UC [All, no side] (dev) | http://ceur-ws.org/Vol-1436/Paper47.pdf | MinCnxe | 0.7816 |
Keyword Spotting | QUESST | SPL-IT-UC [Hmean, no side] (eval) | http://ceur-ws.org/Vol-1436/Paper47.pdf | Cnxe | 0.7914 |
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