Speech Enhancement Algorithms

Speech Enhancement Algorithms is a computational methodology designed to improve the clarity and quality of speech signals by reducing noise, reverberation, and other distortions, thereby enhancing their intelligibility and perceptual fidelity in adverse acoustic environments.

2.1K

Publications

114.2K

Citations

3.4K

Authors

943

Institutions

Publications per year

2017–2026

781

Authors

3.4K

  1. DW
    DeLiang Wang

    The Ohio State University, United States

    60 publications · 8K citations

    38

    h-index

  2. YT
    Yu Tsao

    Research Center for Information Technology Innovation, Academia Sinica, Taiwan

    50 publications · 3.9K citations

    28

    h-index

  3. TN
    Tomohiro Nakatani

    NTT (Japan), Japan

    33 publications · 2.9K citations

    22

    h-index

  4. SD
    Simon Doclo

    Carl von Ossietzky Universität Oldenburg, Germany

    35 publications · 1.6K citations

    21

    h-index

  5. TG
    Timo Gerkmann

    Carl von Ossietzky Universität Oldenburg, Germany

    31 publications · 2.3K citations

    21

    h-index

1–5 of 3.4K

Venues

  1. IEEE/ACM Transactions on Audio Speech and Language Processing

    TASLP · 127 publications · 11.3K citations

    47

    h-index

  2. 42

    h-index

  3. IEEE Transactions on Speech and Audio Processing

    53 publications · 9.3K citations

    41

    h-index

  4. Speech Communication

    98 publications · 5.1K citations

    37

    h-index

  5. IEEE Signal Processing Letters

    66 publications · 4.4K citations

    33

    h-index

1–5