Spoken Document Retrieval

Spoken document retrieval is a research field focused on developing and applying methods to search and locate relevant information within collections of spoken audio, typically by processing the speech content using techniques like automatic speech recognition to enable effective query matching and retrieval.

59

Publications

2.1K

Citations

154

Authors

69

Institutions

Publications per year

2017–2026

0

Authors

154

  1. LL
    Lin-shan Lee

    National Taiwan University, Taiwan

    7 publications · 317 citations

    7

    h-index

  2. BC
    Berlin Chen

    National Taiwan Normal University, Taiwan

    5 publications · 130 citations

    5

    h-index

  3. KS
    Karen Spärck Jones

    University of Cambridge, United Kingdom

    4 publications · 179 citations

    4

    h-index

  4. HN
    Hiromitsu Nishizaki

    University of Yamanashi, Japan

    4 publications · 80 citations

    4

    h-index

  5. HL
    Hung-yi Lee

    National Taiwan University, Taiwan

    4 publications · 147 citations

    4

    h-index

1–5 of 154

Venues

  1. IEEE Signal Processing Magazine

    3 publications · 328 citations

    3

    h-index

  2. MediaEval

    3 publications · 97 citations

    3

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5