Speaker-dependent Speech Recognition
Speaker-Dependent Speech Recognition is a speech recognition system that belongs to the class of automatic speech recognition methods and is distinguished by its reliance on prior acoustic models specifically trained for individual speakers, thereby optimizing performance for utterances from known speakers while typically requiring speaker-specific training data.
712
Publications
35.6K
Citations
1.6K
Authors
450
Institutions
Publications per year
2017–2026
122
Variants
Speaker-dependent Recognition
Parents
712
Speech emotion recognition using hidden Markov models
Tin Lay Nwe, Say Wei Foo · Speech Communication · 2003 · 917 citations
Support vector machines for speaker and language recognition
William M. Campbell, Joseph P. Campbell, D.A. Reynolds et al. · Computer Speech & Language · 2005 · 525 citations
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Carnegie Mellon University
Pittsburgh, United States
21 h-index
61 publications
7.6K citations
University of Cambridge
Cambridge, United Kingdom
15 h-index
32 publications
1.6K citations
University of Sheffield
Sheffield, United Kingdom
15 h-index
55 publications
2.3K citations
Microsoft (United States)
Redmond, United States
13 h-index
43 publications
3.7K citations
AT&T (United States)
Bedminster, United States
13 h-index
32 publications
1.5K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
12 h-index
45 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
24 publications
3.5K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
11 h-index
26 publications
904 citations
1–8 of 450
27 publications · 1.9K citations
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Conference · 19 publications · 786 citations
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TASLP · 18 publications · 943 citations
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15 publications · 1.2K citations
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15 publications · 1.5K citations
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