Advances in Non-Linear Modeling for Speech ProcessingApplication to Speaker Recognition
Advances in Non-Linear Modeling for Speech Processing: Application to Speaker Recognition
Holambe, Raghunath S.; Deshpande, Mangesh S.
2012-02-21 00:00:00
[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.]
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Advances in Non-Linear Modeling for Speech ProcessingApplication 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.]
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