Multi-Speaker Pitch Tracking via Embodied Self-Supervised Learning-Reference-Cited by-同舟云学术

Multi-Speaker Pitch Tracking via Embodied Self-Supervised Learning

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Xiang¹,Sun Yifan¹,Wu Xihong¹,Chen Jing¹

Affiliation:

1. Peking University,Key Laboratory of Machine Perception (Ministry of Education),Department of Machine Intelligence, Speech and Hearing Research Center,Beijing,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747262.pdf?arnumber=9747262

Reference18 articles.

1. Permutation Invariant Training for Speaker-Independent Multi-Pitch Tracking

2. The Auditory System at the Cocktail Party

3. The motor theory of speech perception revised

4. Low-level articulatory synthesis: A working text-to-speech solution and a linguistic tool

5. Embodied self-supervised learning by coordinated sampling and training;sun,2020

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