Multilingual Speech Recognition
Multilingual Speech Recognition is a computational framework within speech processing that enables the accurate transcription of spoken language into text across multiple languages by integrating language identification, acoustic modeling, and linguistic adaptation to handle cross-lingual variation.
574
Publications
22.2K
Citations
1.6K
Authors
331
Institutions
Publications per year
2017–2026
268
574
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu et al. · arXiv (Cornell University) · 2022 · 1.2K citations · Full text
MLS: A Large-Scale Multilingual Dataset for Speech Research
Vineel Pratap, Qiantong Xu, Anuroop Sriram et al. · 2020 · 340 citations · Full text
1–5 of 574
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331
Carnegie Mellon University
Pittsburgh, United States
24 h-index
101 publications
4.8K citations
Google (United States)
Mountain View, United States
18 h-index
167 publications
11.5K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
16 h-index
51 publications
2.6K citations

Johns Hopkins University
Baltimore, United States
15 h-index
39 publications
2.3K citations

University of Edinburgh
Edinburgh, United Kingdom
14 h-index
28 publications
1.2K citations
Idiap Research Institute
Martigny-Combe, Switzerland
13 h-index
57 publications
1.8K citations
Microsoft (United States)
Redmond, United States
12 h-index
27 publications
1.6K citations
Tsinghua University
Beijing, China
11 h-index
32 publications
789 citations
1–8 of 331
Repository · 28 publications · 2.2K citations
17
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19 publications · 668 citations
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Conference · 9 publications · 230 citations
9
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TASLP · 7 publications · 125 citations
8
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7 publications · 172 citations
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