Language, speech & LLMs· 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
DOI 10.1109/taslp.2021.3122291arXiv 2106.07447OpenAlex W3169320628
On the reading lists
- #215 in the Top 500 (2026 edition)
- #33 in Language, speech & LLMs (2026 edition)
Why it matters
Introduced masked prediction of clustered speech units, influencing audio foundation models.
Condensed from the expert lists' notes.
The record
- First released
- 2021 (from arXiv 2106.07447)
- Citations
- 5,295 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Computer vision & multimodal
- Score
- 0.518 · computed rank 215 · consensus 0.82, must-read 0.5, citations percentile 0.635 (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.