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Advances in Non-Linear Modeling for Speech ProcessingApplication to Speaker Recognition

Advances in Non-Linear Modeling for Speech Processing: Application to Speaker Recognition [Speaker recognition refers to a task of recognizing people by their voices. In speaker recognition, one is interested in extracting and characterizing the speaker-specific information embedded in speech signal. In a larger context, speaker recognition belongs to the field of biometrics, which refers to authenticating persons based on their physical and/or learned characteristics. There has long been a desire to be able to identify a person on the basis of his or her voice. For many years, judges, lawyers, detectives and law enforcement agencies have wanted to use forensic voice authentication to investigate a suspect or to confirm a judgment of guilt or innocence.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in Non-Linear Modeling for Speech ProcessingApplication to Speaker Recognition

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Publisher
Springer US
Copyright
© The Author(s) 2012
ISBN
978-1-4614-1504-6
Pages
77 –99
DOI
10.1007/978-1-4614-1505-3_6
Publisher site
See Chapter on Publisher Site

Abstract

[Speaker recognition refers to a task of recognizing people by their voices. In speaker recognition, one is interested in extracting and characterizing the speaker-specific information embedded in speech signal. In a larger context, speaker recognition belongs to the field of biometrics, which refers to authenticating persons based on their physical and/or learned characteristics. There has long been a desire to be able to identify a person on the basis of his or her voice. For many years, judges, lawyers, detectives and law enforcement agencies have wanted to use forensic voice authentication to investigate a suspect or to confirm a judgment of guilt or innocence.]

Published: Feb 21, 2012

Keywords: Speech Signal; Speaker Recognition; Clean Speech; Speaker Identification; Noisy Speech

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