Code-switching Speech Recognition

Code-Switching Speech Recognition is a subfield of speech recognition that specifically addresses the automatic transcription of spoken language in which speakers alternate between two or more linguistic varieties within a single utterance, distinguished from general speech recognition by its focus on intra-sentential multilingualism and mixed-language acoustic modeling.

89

Publications

3.7K

Citations

247

Authors

87

Institutions

Publications per year

2017–2026

53

Authors

247

  1. HL
    Haizhou Li

    National University of Singapore, Singapore

    11 publications · 640 citations

    11

    h-index

  2. EY
    Emre Yılmaz

    Radboud University Nijmegen, Netherlands

    12 publications · 351 citations

    11

    h-index

  3. ES
    Eng Siong Chng

    Nanyang Technological University, Singapore

    10 publications · 549 citations

    10

    h-index

  4. TS
    Tanja Schultz

    Carnegie Mellon University, United States

    8 publications · 504 citations

    8

    h-index

  5. NT
    Ngoc Thang Vu

    University of Stuttgart, Germany

    8 publications · 518 citations

    8

    h-index

1–5 of 247

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 88 citations

    4

    h-index

  2. 4

    h-index

  3. Computer Speech & Language

    3 publications · 79 citations

    3

    h-index

  4. Interspeech 2022

    Conference · 3 publications · 55 citations

    3

    h-index

  5. Procedia Computer Science

    2 publications · 89 citations

    2

    h-index

1–5