Towards Learning Universal Audio Representations-Reference-Cited by-同舟云学术

Towards Learning Universal Audio Representations

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

Wang Luyu¹,Luc Pauline¹,Wu Yan¹,Recasens Adria¹,Smaira Lucas¹,Brock Andrew¹,Jaegle Andrew¹,Alayrac Jean-Baptiste¹,Dieleman Sander¹,Carreira Joao¹,van den Oord Aaron¹

Affiliation:

1. DeepMind,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746790.pdf?arnumber=9746790

Reference29 articles.

1. wav2vec2.0: A framework for self-supervised learning of speech representations;baevski;NeurIPS,2020

2. Contrastive Predictive Coding of Audio with an Adversary

3. AST: Audio Spectrogram Transformer

4. Multi-format contrastive learning of audio representations;wang;NeurIPS workshop,2020

5. Pre-Training Audio Representations With Self-Supervision

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