Cross-language Speaker Recognition

Cross-Language Speaker Recognition is a speaker recognition framework that enables the identification of individuals across different languages by leveraging language-independent vocal characteristics, thereby distinguishing it from conventional monolingual or language-matched speaker recognition systems.

23

Publications

857

Citations

63

Authors

19

Institutions

Publications per year

2017–2026

6

Variants

Cross-lingual Speaker Recognition

Authors

63

  1. CS
    Craig S. Greenberg

    National Institute of Standards and Technology, United States

    5 publications · 446 citations

    5

    h-index

  2. SO
    Seyed Omid Sadjadi

    The University of Texas at Dallas, United States

    3 publications · 225 citations

    3

    h-index

  3. DA
    Douglas A. Reynolds

    Massachusetts Institute of Technology, United States

    3 publications · 225 citations

    3

    h-index

  4. JH
    Jaime Hernández-Cordero

    MIT Lincoln Laboratory, United States

    3 publications · 236 citations

    3

    h-index

  5. ES
    Elliot Singer

    MIT Lincoln Laboratory, United States

    3 publications · 225 citations

    3

    h-index

1–5 of 63

Venues

  1. 1

    h-index

  2. IEEE Access

    1 publications · 33 citations

    1

    h-index

  3. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Information Processing Systems

    1 publications · 13 citations

1–5