On the Importance of Audio-Source Separation for Singer Identification in Polyphonic Music-Reference-Cited by-同舟云学术

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On the Importance of Audio-Source Separation for Singer Identification in Polyphonic Music

Published:2019-09-15 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2019
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Author:

Sharma Bidisha,Das Rohan Kumar,Li Haizhou

Publisher

ISCA

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MDX-Mixer: Music Demixing by Leveraging Source Signals Separated by Existing Demixing Models;IEICE Transactions on Information and Systems;2024-08-01

2. Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning;EURASIP Journal on Audio, Speech, and Music Processing;2024-02-26

3. An ensemble model of CNN with Bi-LSTM for automatic singer identification;Multimedia Tools and Applications;2023-03-27

4. Stripe-Transformer: deep stripe feature learning for music source separation;EURASIP Journal on Audio, Speech, and Music Processing;2023-01-12

5. Vocal92: Audio Dataset With a Cappella Solo Singing and Speech;IEEE Access;2023

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