Speech-to-text Systems

Speech-To-Text Systems is a computational assistive technology that converts spoken language into written text in real time, distinguished by its application in supporting individuals with learning disabilities and facilitating accessible transcript preparation through automatic speech recognition.

1.1K

Publications

41.7K

Citations

3.6K

Authors

702

Institutions

Publications per year

2017–2026

285

Authors

3.6K

  1. AW
    Alan W. Black

    Carnegie Mellon University, United States

    22 publications · 764 citations

    16

    h-index

  2. TS
    Tanja Schultz

    Carnegie Mellon University, United States

    18 publications · 542 citations

    15

    h-index

  3. AW
    Alex Waibel

    Carnegie Mellon University, United States

    16 publications · 616 citations

    14

    h-index

  4. LL
    Lori Lamel

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    15 publications · 412 citations

    13

    h-index

  5. JG
    James Glass

    Massachusetts Institute of Technology, United States

    14 publications · 1.1K citations

    13

    h-index

1–5 of 3.6K

Venues

  1. Speech Communication

    17 publications · 1.8K citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 18 publications · 823 citations

    13

    h-index

  3. Computer Speech & Language

    13 publications · 893 citations

    13

    h-index

  4. 11

    h-index

  5. IEEE Signal Processing Magazine

    8 publications · 382 citations

    8

    h-index

1–5