SpeechCLIP+: Self-Supervised Multi-Task Representation Learning for Speech Via Clip and Speech-Image Data
Author:
Affiliation:
1. National Taiwan University,Taiwan
2. The University of Texas at Austin,USA
3. Massachusetts Institute of Technology,USA
4. Academia Sinica,Institute of Information Science,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625769/10625780/10625827.pdf?arnumber=10625827
Reference25 articles.
1. Self-Supervised Speech Representation Learning: A Review
2. Neural discrete representation learning;Den Oord;NIPS,2017
3. An Unsupervised Autoregressive Model for Speech Representation Learning
4. vq-wav2vec: Self-supervised learning of discrete speech representations;Baevski;ICLR,2020
5. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski;NeurIPS,2020
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