Language, speech & LLMs· 2014
Deep Speech: Scaling up end-to-end speech recognition
On the reading lists
- #341 in the Top 500 (2026 edition)
- #54 in Language, speech & LLMs (2026 edition)
Why it matters
Demonstrated scalable neural speech recognition without traditional phonetic pipelines.
Condensed from the expert lists' notes.
The record
- First released
- 2014 (from arXiv 1412.5567)
- Citations
- 2,290 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.417 · computed rank 341 · consensus 0.82, must-read 0.5, citations percentile 0.344 (2010s · 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.