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--- |
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license: cc-by-nc-4.0 |
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language: |
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- ja |
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tags: |
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- music |
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- speech |
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--- |
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# MRDLA 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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# Citation |
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See [the jaCappella dataset page](https://tomohikonakamura.github.io/jaCappella_corpus/). |
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For MRDLA, please cite the following paper. |
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``` |
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@article{TNakamura202104IEEEACMTASLP, |
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author={Nakamura, Tomohiko and Kozuka, Shihori and Saruwatari, Hiroshi}, |
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journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing}, |
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title = {Time-domain audio source separation with neural networks based on multiresolution analysis}, |
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year=2021, |
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doi={10.1109/TASLP.2021.3072496}, |
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month=apr, |
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volume=29, |
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pages={1687--1701}, |
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} |
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``` |
