Audio Feature Fusion

Audio Feature Fusion is a feature-level fusion method that integrates acoustic features extracted from multiple audio signals or modalities into a unified representation to enhance discriminative power in multimodal or multipath audio analysis.

560

Publications

23.7K

Citations

1.8K

Authors

551

Institutions

Publications per year

2017–2026

299

Authors

1.8K

  1. MP
    Maja Pantić

    Imperial College London, United Kingdom

    7 publications · 127 citations

    7

    h-index

  2. GP
    Gerasimos Potamianos

    IBM Research - Thomas J. Watson Research Center, United States

    6 publications · 215 citations

    6

    h-index

  3. LN
    Loris Nanni

    University of Bologna, Italy

    6 publications · 344 citations

    6

    h-index

  4. SP
    Stavros Petridis

    Imperial College London, United Kingdom

    6 publications · 101 citations

    6

    h-index

  5. CN
    C. Neti

    IBM Research - Thomas J. Watson Research Center, United States

    6 publications · 232 citations

    6

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 685 citations

    15

    h-index

  2. IEEE Transactions on Multimedia

    10 publications · 1.1K citations

    10

    h-index

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

    TASLP · 10 publications · 380 citations

    10

    h-index

  4. IEEE Access

    8 publications · 457 citations

    8

    h-index

  5. Speech Communication

    8 publications · 269 citations

    8

    h-index

1–5