Adaptive Intonation

Adaptive Intonation is a computational framework within ensemble intonation that dynamically adjusts pitch mappings in real time based on contextual acoustic cues and performer interactions to optimize harmonic coherence.

5

Publications

130

Citations

8

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

8

  1. SP
    Sankaran Panchapagesan

    University of California, Los Angeles, United States

    1 publications · 42 citations

    1

    h-index

  2. RS
    Rohit Sinha

    Indian Institute of Technology Guwahati, India

    1 publications · 15 citations

    1

    h-index

  3. JJ
    Jordi Janer

    Universitat Pompeu Fabra, Spain

    1 publications · 11 citations

    1

    h-index

  4. SG
    Shweta Ghai

    Indian Institute of Technology Guwahati, India

    1 publications · 15 citations

    1

    h-index

  5. AA
    Abeer Alwan

    University of California, Los Angeles, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 8

Venues

  1. Computer Speech & Language

    1 publications · 42 citations

    1

    h-index

  2. International Journal of Speech Technology

    1 publications · 15 citations

    1

    h-index

  3. Music Perception An Interdisciplinary Journal

    1 publications · 43 citations

    1

    h-index

  4. Journal of Voice

    1 publications · 10 citations

1–4