WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
2022 · IEEE Journal of Selected Topics in Signal Processing · 1,420 citations
https://doi.org/10.1109/jstsp.2022.3188113
Y
Yu Wu
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
97
Papers
5.9K
Citations
32
h-index
64
i10-index
Yu Wu is an academic researcher from Microsoft (United States). The author has contributed to research in topics: Topic Modeling & Natural Language Processing Techniques & Speech Recognition and Synthesis. The author has an h-index of 32, co-authored 83 publications.
ORCID: 0000-0002-5715-3011Papers by this author
worksDeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
2025 · Nature · 268 citations
https://doi.org/10.1038/s41586-025-09422-z
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 111 citations
https://doi.org/10.18653/v1/2022.acl-long.393
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
2025 · IEEE Transactions on Audio Speech and Language Processing · 68 citations
https://doi.org/10.1109/taslpro.2025.3530270
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat