Text-dependent Speaker Recognition
Text-Dependent Speaker Recognition is a speaker recognition paradigm that requires individuals to utter a specific, known text during both enrollment and identification phases, thereby enabling recognition through the analysis of voice characteristics in conjunction with the expected lexical content.
207
Publications
9.4K
Citations
522
Authors
166
Institutions
Publications per year
2017–2026
47
Parents
207
Deep neural networks for small footprint text-dependent speaker verification
Ehsan Variani, Xin Lei, Erik McDermott et al. · 2014 · 1.1K citations
End-to-end text-dependent speaker verification
Georg Heigold, Ignacio López Moreno, Samy Bengio et al. · 2016 · 531 citations
Automatic recognition of speakers from their voices
Bishnu S. Atal · Proceedings of the IEEE · 1976 · 375 citations
Deep neural network-based speaker embeddings for end-to-end speaker verification
David Snyder, Pegah Ghahremani, Daniel Povey et al. · 2016 · 372 citations
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166
Institute for Infocomm Research
Singapore, Singapore
7 h-index
22 publications
2K citations
SRI International
Menlo Park, United States
6 h-index
12 publications
373 citations
Idiap Research Institute
Martigny-Combe, Switzerland
6 h-index
17 publications
427 citations
Brno University of Technology
Brno, Czechia
5 h-index
10 publications
496 citations
Computer Research Institute of Montréal
Montreal, Canada
4 h-index
13 publications
296 citations
Finland University
Helsinki, Finland
4 h-index
12 publications
316 citations

University of Eastern Finland
Joensuu, Finland
4 h-index
12 publications
316 citations
Microsoft (United States)
Redmond, United States
4 h-index
17 publications
1K citations
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8 publications · 549 citations
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6 publications · 102 citations
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TASLP · 5 publications · 160 citations
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Conference · 5 publications · 326 citations
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Conference · 4 publications · 159 citations
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