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A review of speaker diarization: Recent advances with deep learning
Computer Speech and Language, 2022Tae Jin Park +2 more
exaly
2013
The aim of forensic speaker recognition is to establish links between individuals and criminal activities, through audio speech recordings. This field is multidisciplinary, combining predominantly phonetics, linguistics, speech signal processing, and forensic statistics.
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The aim of forensic speaker recognition is to establish links between individuals and criminal activities, through audio speech recordings. This field is multidisciplinary, combining predominantly phonetics, linguistics, speech signal processing, and forensic statistics.
openaire +1 more source
Machine learning-based self-powered acoustic sensor for speaker recognition
Nano Energy, 2018Jae Hyun Han +2 more
exaly
An overview of text-independent speaker recognition: From features to supervectors
Speech Communication, 2010Tomi H Kinnunen, Haizhou Li
exaly
4th European Conference on Speech Communication and Technology (Eurospeech 1995), 1995
Kin Yu, John S. Mason, John Oglesby
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Kin Yu, John S. Mason, John Oglesby
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Voxceleb: Large-scale speaker verification in the wild
Computer Speech and Language, 2020Arsha Nagrani
exaly