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Speaker Recognition for Multi-speaker Conversations Using X-vectors
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019Recently, deep neural networks that map utterances to fixed-dimensional embeddings have emerged as the state-of-the-art in speaker recognition. Our prior work introduced x-vectors, an embedding that is very effective for both speaker recognition and ...
David Snyder +5 more
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Constrained MLLR for Speaker Recognition
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007abstract
Ferras, Marc +3 more
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From Speaker Recognition to Forensic Speaker Recognition
2014The goal of this paper is to review automatic systems for forensic speaker recognition (FSR) based on scientifically approved methods for calculation and interpretation of biometric evidence. The objective of this paper is not to promote one speaker recognition method against another, but is to make available to the biometric research community data ...
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2012 Third International Conference on Computer and Communication Technology, 2012
Speech processing has emerged as one of the important application area of digital signal processing. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. This paper proposes the comparison of the MFCC and the Vector Quantisation technique for speaker recognition.
Supriya Tripathi, Smriti Bhatnagar
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Speech processing has emerged as one of the important application area of digital signal processing. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. This paper proposes the comparison of the MFCC and the Vector Quantisation technique for speaker recognition.
Supriya Tripathi, Smriti Bhatnagar
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The 2016 Speakers in the Wild Speaker Recognition Evaluation
Interspeech 2016, 2016The newly collected Speakers in the Wild (SITW) database was central to a text-independent speaker recognition challenge held as part of a special session at Interspeech 2016. The SITW database is composed of audio recordings from 299 speakers collected from open source media, with an average of 8 sessions per speaker.
Mitchell McLaren +3 more
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Segregation of speakers for speech recognition and speaker identification
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991A method for segregating speech from speakers engaged in dialogs is described. The method, assuming no prior knowledge of the speakers, employs a distance measure between speech segments used in conjunction with a clustering algorithm to perform the segregation. Properties of the distance measure are discussed, and an air traffic control application is
Herbert Gish +2 more
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X-Vectors: Robust DNN Embeddings for Speaker Recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018David Snyder +4 more
semanticscholar +1 more source
Speaker recognition in a multi-speaker environment
7th European Conference on Speech Communication and Technology (Eurospeech 2001), 2001Alvin F. Martin, Mark A. Przybocki
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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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2007
This chapter presents some of the main contributions in several topics of speaker recognition since 1978. Representative books and surveys on speaker recognition published during this period are listed. Theoretical models for automatic speaker recognition are contrasted with practical design methodology.
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This chapter presents some of the main contributions in several topics of speaker recognition since 1978. Representative books and surveys on speaker recognition published during this period are listed. Theoretical models for automatic speaker recognition are contrasted with practical design methodology.
openaire +1 more source