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

Authors

1.6K

  1. TS
    Tanja Schultz

    Carnegie Mellon University, United States

    38 publications · 2K citations

    25

    h-index

  2. AW
    Alex Waibel

    Carnegie Mellon University, United States

    19 publications · 857 citations

    15

    h-index

  3. FM
    Florian Metze

    Carnegie Mellon University, United States

    13 publications · 551 citations

    12

    h-index

  4. TN
    Tara N. Sainath

    Google (United States), United States

    13 publications · 950 citations

    12

    h-index

  5. NT
    Ngoc Thang Vu

    University of Stuttgart, Germany

    13 publications · 603 citations

    12

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 28 publications · 2.2K citations

    17

    h-index

  2. Speech Communication

    19 publications · 668 citations

    16

    h-index

  3. Interspeech 2022

    Conference · 9 publications · 230 citations

    9

    h-index

  4. 8

    h-index

  5. Procedia Computer Science

    7 publications · 172 citations

    7

    h-index

1–5