Separated examples by vocal ensemble separation methods using our jaCappella corpus

References

1. Tomohiko Nakamura, Shinnosuke Takamichi, Naoko Tanji, Satoru Fukayama, and Hiroshi Saruwatari, “jaCappella corpus: A Japanese a cappella vocal ensemble corpus,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, June 2023.
   Bib

   @inproceedings{TNakamura202306ICASSP,
       author = "Nakamura, Tomohiko and Takamichi, Shinnosuke and Tanji, Naoko and Fukayama, Satoru and Saruwatari, Hiroshi",
       title = "{jaCappella} corpus: {A} {Japanese} a cappella vocal ensemble corpus",
       booktitle = "Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing",
       month = "June",
       year = "2023",
       doi = "10.1109/ICASSP49357.2023.10095569"
   }

   arXiv Code Demo Dataset
2. X-UMX implementation in the Asteroid source-separation toolkit. Source
3. Saurjya Sarkar, Emmanouil Benetos, and Mark Sandler, “Vocal harmony separation using time-domain neural networks,” Proceedings of Interspeech, pp. 3515–3519, 2021. Source
4. Tomohiko Nakamura, Shihori Kozuka, and Hiroshi Saruwatari, “Time-domain audio source separation with neural networks based on multiresolution analysis,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 1687–1701, Apr. 2021.
   [The Itakura Prize Innovative Young Researcher Award]
   Bib

   @article{TNakamura202104IEEEACMTASLP,
       author = "Nakamura, Tomohiko and Kozuka, Shihori and Saruwatari, Hiroshi",
       journal = "IEEE/ACM Transactions on Audio, Speech, and Language Processing",
       title = "Time-domain audio source separation with neural networks based on multiresolution analysis",
       year = "2021",
       doi = "10.1109/TASLP.2021.3072496",
       month = "April",
       volume = "29",
       pages = "1687--1701"
   }

   DOI Code Demo Slides Poster