Separated examples by vocal ensemble separation methods using our jaCappella corpus
This is the demo page of our ICASSP 2023 paper [1]. We show separated examples by vocal ensemble separation methods using our jaCappella corpus. The project page of the corpus is here.
| Mixture | Voice part | Ground Truth | X-UMX [2] | DPTNet [3] | MRDLA [4] |
|---|---|---|---|---|---|
|
Dongurikorokoro
(どんぐりころころ in Japanese) Genre: bossa nova |
Lead vocal | Soprano | Alto | Tenor | Bass | Vocal percussion |
Hiraitahiraita
(ひらいたひらいた in Japanese) Genre: enka |
Lead vocal | Soprano | Alto | Tenor | Bass | Vocal percussion |
Otamajakushi
(お玉じゃくし in Japanese) Genre: jazz |
Lead vocal | Soprano | Alto | Tenor | Bass | Vocal percussion |
References
[1] {{ get_bibentry_html("TNakamura202306ICASSP", lang="en") }}
[2] https://github.com/asteroid-team/asteroid/tree/master/egs/musdb18/X-UMX
[3] S. Sarkar, E. Benetos, and M. Sandler, "Vocal harmony separation using time-domain neural networks," in Proc. INTERSPEECH, 2021, pp. 3515–3519.
[4] {{ get_bibentry_html("TNakamura202104IEEEACMTASLP", lang="en") }}
[2] https://github.com/asteroid-team/asteroid/tree/master/egs/musdb18/X-UMX
[3] S. Sarkar, E. Benetos, and M. Sandler, "Vocal harmony separation using time-domain neural networks," in Proc. INTERSPEECH, 2021, pp. 3515–3519.
[4] {{ get_bibentry_html("TNakamura202104IEEEACMTASLP", lang="en") }}