Incremental Speech Processing

Incremental Speech Processing is a computational framework in speech interaction that enables real-time interpretation and production of spoken language by continuously updating linguistic representations as new acoustic input becomes available, distinguishing it from batch-processing approaches through its sequential and dynamic analysis of speech signals.

98

Publications

4.4K

Citations

255

Authors

97

Institutions

Publications per year

2017–2026

22

Authors

255

  1. TB
    Timo Baumann

    Universität Hamburg, Germany

    10 publications · 276 citations

    10

    h-index

  2. DS
    David Schlangen

    Bielefeld University, Germany

    10 publications · 410 citations

    10

    h-index

  3. JH
    Julian Hough

    Bielefeld University, Germany

    4 publications · 121 citations

    4

    h-index

  4. GS
    Gabriel Skantze

    KTH Royal Institute of Technology, Sweden

    4 publications · 281 citations

    4

    h-index

  5. GA
    Gernot A. Fink

    TU Dortmund University, Germany

    3 publications · 70 citations

    3

    h-index

1–5 of 255

Venues

  1. PUB – Publications at Bielefeld University (Bielefeld University)

    Repository · 4 publications · 132 citations

    4

    h-index

  2. 3

    h-index

  3. Cognitive Science

    2 publications · 146 citations

    2

    h-index

  4. Publications of the UdS (Saarland University)

    Repository · 2 publications · 58 citations

    2

    h-index

  5. 2

    h-index

1–5