Speech Summarization

Speech summarization is a research field and methodological approach within natural language processing and speech processing concerned with automatically generating a concise textual representation of spoken content. It investigates techniques for identifying, extracting, or generating the most salient information from speech recordings or their transcripts to produce a condensed version while preserving the core meaning and key points of the original audio.

210

Publications

8.5K

Citations

639

Authors

186

Institutions

Publications per year

2017–2026

83

Authors

639

Leading researchers in Speech Summarization. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
SF

Tokyo Institute of Technology

16

681

14

CH

National Institute of Information and Communications Technology

12

578

12

BC

National Taiwan Normal University

13

280

11

SR

University of Edinburgh

8

461

8

PF

Hong Kong University of Science and Technology

8

246

8

Rows per page

1–5 of 639

Institutions

186

Leading universities and research organizations in Speech Summarization. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index

37

1.6K

14

37

780

12

University of Edinburgh

Edinburgh, United Kingdom

26

1.6K

9

Pittsburgh, United States

34

1.4K

9

Columbia University

New York, United States

14

1.7K

8

Rows per page

1–5 of 186

Venues

Leading journals and conferences in Speech Summarization. Counts cover only their publications on this concept, not their overall record.