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# DPTNet trained with the jaCappella corpus for vocal ensemble separation
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This model was trained by Tomohiko Nakamura using [the codebase](https://github.com/TomohikoNakamura/asteroid_jaCappella)).
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It was trained on the vocal ensemble separation task of [the jaCappella dataset](https://tomohikonakamura.github.io/jaCappella_corpus/).
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# License
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See [the jaCappella dataset page](https://tomohikonakamura.github.io/jaCappella_corpus/).
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| Method | Lead vocal | Soprano | Alto | Tenor | Bass |Vocal percussion|
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|:---------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|
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| DPTNet | 8.9 | 8.5 | 11.9 | 14.9 | 19.7 | 21.9 |
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# DPTNet trained with the jaCappella corpus for vocal ensemble separation
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This model was trained by Tomohiko Nakamura using [the codebase](https://github.com/TomohikoNakamura/asteroid_jaCappella)).
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It was trained on the vocal ensemble separation task of [the jaCappella dataset](https://tomohikonakamura.github.io/jaCappella_corpus/).
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[The paper](https://doi.org/10.1109/ICASSP49357.2023.10095569) was published in ICASSP 2023 ([arXiv](https://arxiv.org/abs/2211.16028)).
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# License
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See [the jaCappella dataset page](https://tomohikonakamura.github.io/jaCappella_corpus/).
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| Method | Lead vocal | Soprano | Alto | Tenor | Bass |Vocal percussion|
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|:---------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|:--------------:|
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| DPTNet | 8.9 | 8.5 | 11.9 | 14.9 | 19.7 | 21.9 |
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