Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music-Reference-Cited by-同舟云学术

Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music

Published:2022-09-01 Issue: Volume: Page:79-90
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
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Author:

Sun Yifu,Zhang Xulong,Chen Xi,Yu Yi,Li Wei

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-4703-2_7

Reference26 articles.

1. Berenzweig A, Ellis DP, Lawrence S (2002) Using voice segments to improve artist classification of music. In: Proceedings of the AES 22nd international conference. [S.l.]

2. Zhang X, Qian J, Yu Y, et al (2021) Singer identification using deep timbre feature learning with KNN-net. In: ICASSP 2021-2021 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 3380–3384. [S.l.]. IEEE

3. Salamon J, Gómez E, Ellis DP et al (2014) Melody extraction from polyphonic music signals: approaches, applications, and challenges. IEEE Sig Process Mag 31(2):118–134

4. Hsu CL, Wang D, Jang JSR et al (2012) A tandem algorithm for singing pitch extraction and voice separation from music accompaniment. IEEE Trans Audio Speech Lang Process 20(5):1482–1491

5. Mesaros A (2013) Singing voice identification and lyrics transcription for music information retrieval invited paper. In: 7th conference on speech technology and human-computer dialogue (SpeD), pp 1–10. [S.l.]: IEEE

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