Text-dependent Speaker Recognition

Text-Dependent Speaker Recognition is a speaker recognition paradigm that requires individuals to utter a specific, known text during both enrollment and identification phases, thereby enabling recognition through the analysis of voice characteristics in conjunction with the expected lexical content.

207

Publications

9.4K

Citations

522

Authors

166

Institutions

Publications per year

2017–2026

47

Authors

522

  1. PK
    Patrick Kenny

    Computer Research Institute of Montréal, Canada

    12 publications · 299 citations

    11

    h-index

  2. TS
    Themos Stafylakis

    Computer Research Institute of Montréal, Canada

    13 publications · 326 citations

    11

    h-index

  3. HL
    Haizhou Li

    National University of Singapore, Singapore

    9 publications · 662 citations

    9

    h-index

  4. LB
    Lukáš Burget

    Brno University of Technology, Czechia

    6 publications · 220 citations

    6

    h-index

  5. HS
    Hossein Sameti

    Sharif University of Technology, Iran

    6 publications · 191 citations

    6

    h-index

1–5 of 522

Venues

  1. Speech Communication

    8 publications · 549 citations

    8

    h-index

  2. International Journal of Computer Applications

    6 publications · 102 citations

    6

    h-index

  3. 5

    h-index

  4. 5

    h-index

  5. International Symposium on Computer Architecture

    Conference · 4 publications · 159 citations

    4

    h-index

1–5