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
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National Taiwan University
Taipei, Taiwan
10 h-index
24 publications
694 citations
National Taiwan Normal University
Taipei, Taiwan
4 h-index
6 publications
278 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
15 publications
653 citations

University of the Basque Country
Leioa, Spain
3 h-index
3 publications
117 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
97 citations

University of Strathclyde
Glasgow, United Kingdom
2 h-index
3 publications
141 citations
IBM (United States)
Armonk, United States
2 h-index
5 publications
96 citations
Institute of Information Science, Academia Sinica
Taipei, Taiwan
2 h-index
3 publications
94 citations
1–8 of 69
3 publications · 328 citations
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3 publications · 97 citations
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TASLP · 2 publications · 124 citations
2
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1 publications · 29 citations
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JASIST · 1 publications · 59 citations
1
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