Language, speech & LLMs· 2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
DOI 10.1109/jstsp.2022.3188113arXiv 2110.13900OpenAlex W3209984917
On the reading lists
- #80 in Language, speech & LLMs (2026 edition)
Why it matters
Extended speech pretraining beyond transcription to speaker, content, and acoustic tasks.
Condensed from the expert lists' notes.
The record
- First released
- 2021 (from arXiv 2110.13900)
- Published
- 2022
- Citations
- 3,817 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.338 · computed rank 511 · consensus 0.47, must-read 0, citations percentile 0.562 (2020s · language), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.