Speech Recognition Software

Speech Recognition Software is a type of assistive technology that enables individuals to convert spoken language into written text or executable commands, distinguished by its reliance on automated acoustic and linguistic modeling to interpret human speech for computer input and control.

447

Publications

25.5K

Citations

1.6K

Authors

458

Institutions

Publications per year

2017–2026

100

Variants

Asr SoftwareAutomatic Speech Recognition Software

Authors

1.6K

  1. KT
    Kazuya Takeda

    Nagoya University, Japan

    9 publications · 718 citations

    9

    h-index

  2. TK
    Tatsuya Kawahara

    Kyoto University, Japan

    8 publications · 539 citations

    8

    h-index

  3. AL
    Akinobu Lee

    Nara Institute of Science and Technology, Japan

    7 publications · 558 citations

    7

    h-index

  4. KS
    Kiyohiro Shikano

    Nara Institute of Science and Technology, Japan

    7 publications · 527 citations

    7

    h-index

  5. KI
    Katsunobu Itou

    Nagoya University, Japan

    6 publications · 252 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 747 citations

    6

    h-index

  2. CALICO Journal

    6 publications · 206 citations

    6

    h-index

  3. International Journal of Speech Technology

    5 publications · 199 citations

    5

    h-index

  4. 4

    h-index

  5. Augmentative and Alternative Communication

    AAC · 4 publications · 217 citations

    4

    h-index

1–5