Concepedia

Audio Deduplication

Audio Deduplication is a data processing technique that identifies and removes redundant or duplicate audio samples within a dataset by leveraging acoustic or embedding-based similarity measures to ensure uniqueness in audio content.

3

Publications

75

Citations

12

Authors

5

Institutions

Publications per year

2017–2026

0

Parents

Publications

3

1–3 of 3

Authors

12

  1. ZH
    Zheng Huang

    Shanghai Jiao Tong University, China

    1 publications · 32 citations

    1

    h-index

  2. VG
    Vishwa Gupta

    Computer Research Institute of Montréal, Canada

    1 publications · 14 citations

    1

    h-index

  3. JX
    Ji-nian Xiao

    Institute of Forensic Science, China

    1 publications · 32 citations

    1

    h-index

  4. YJ
    Yun-zhe Jia

    Institute of Forensic Science, China

    1 publications · 32 citations

    1

    h-index

  5. SS
    Shaopei Shi

    Institute of Forensic Science, China

    1 publications · 32 citations

    1

    h-index

1–5 of 12

Institutions

5

  1. Politecnico di Milano

    Milan, Italy

    1 h-index

    3 publications

    87 citations

  2. École de Technologie Supérieure

    Montreal, Canada

    1 h-index

    2 publications

    28 citations

  3. Shanghai Jiao Tong University

    Shanghai, China

    1 h-index

    4 publications

    128 citations

  4. Computer Research Institute of Montréal

    Montreal, Canada

    1 h-index

    1 publications

    14 citations

  5. Institute of Forensic Science

    Shanghai, China

    1 h-index

    2 publications

    64 citations

1–5 of 5

Venues

  1. 1

    h-index

1–1