Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music-Reference-Cited by-同舟云学术

Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019
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Author:

Van Toan Pham¹,Quang Ngoc Tran Ngo¹,Thanh Ta Minh²

Affiliation:

1. R&D Lab, Sun Inc, Hanoi, Vietnam

2. Le Quy Don Technical University, Hanoi, Vietnam

Publisher

ACM Press

Reference29 articles.

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3. Pedro Cano, Markus Koppenberger, and Nicolas Wack. 2005. Content-based Music Audio Recommendation. In Proceedings of the 13th Annual ACM International Conference on Multimedia (MULTIMEDIA '05). ACM, New York, NY, USA, 211--212. https://doi.org/10.1145/1101149.1101181

4. Angkana Chanrungutai and Chotirat Ratanamahatana. 2008. Singing Voice Separation for Mono-Channel Music Using Non-negative Matrix Factorization. 243 -- 246. https://doi.org/10.1109/ATC.2008.4760565

5. Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. ArXiv abs/1406.1078 (2014).

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