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Overview of Speaker Recognition

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Springer Handbook of Speech Processing

Part of the book series: Springer Handbooks ((SHB))

Abstract

An introduction to automatic speaker recognition is presented in this chapter. The identifying characteristics of a personʼs voice that make it possible to automatically identify a speaker are discussed. Subtasks such as speaker identification, verification, and detection are described. An overview of the techniques used to build speaker models as well as issues related to system performance are presented. Finally, a few selected applications of speaker recognition are introduced to demonstrate the wide range of applications of speaker recognition technologies. Details of text-dependent and text-independent speaker recognition and their applications are covered in the following two chapters.

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Abbreviations

ASR:

automatic speech recognition

BIC:

Bayesian information criterion

CIS:

caller identification system

CMS:

cepstral mean subtraction

DCF:

detection cost function

DET:

detection error tradeoff

DFT:

discrete Fourier transform

EER:

equal error rate

EM:

expectation maximization

FFT:

fast Fourier transform

GLR:

generalized likelihood ratio

GMM:

Gaussian mixture model

HMM:

hidden Markov models

LLR:

(log) likelihood ratio

LPC:

linear predictive coding

MCE:

minimum classification error

MFCC:

mel-filter cepstral coefficient

ML:

maximum-likelihood

ROC:

receiver operating characteristic

SVM:

support vector machines

VQ:

vector quantization

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Author information

Authors and Affiliations

  1. Center for Advanced Information Processing, Rutgers University, 96 Frelinghuysen Road, 08854-8088, Piscataway, NJ, USA

    Aaron E. Rosenberg Prof.

  2. IRISA (CNRS & INRIA) - METISS, Pièce C 320 - Campus Universitaire de Beaulieu, 35042, Rennes, France

    Frédéric Bimbot Ph.D

  3. Yahoo!, Applied Research, 1MC 743, 701 First Avenue, 94089-0703, Sunnyvale, CA, USA

    Sarangarajan Parthasarathy Dr.

Authors
  1. Aaron E. Rosenberg Prof.
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  2. Frédéric Bimbot Ph.D
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  3. Sarangarajan Parthasarathy Dr.
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Corresponding authors

Correspondence to Aaron E. Rosenberg Prof. , Frédéric Bimbot Ph.D or Sarangarajan Parthasarathy Dr. .

Editor information

Editors and Affiliations

  1. INRS-EMT, University of Quebec, 800 de la Gauchetiere Ouest, H5A 1K6, Montreal, Quebec, Canada

    Jacob Benesty Dr.

  2. Avayalabs Research, 233 Mount Airy Road, 07920, Basking Ridge, NJ, USA

    M. Mohan Sondhi Ph.D.

  3. Alcatel-Lucent, Bell Laboratories, 600 Mountain Avenue, 07974, Murray Hill, NJ, USA

    Yiteng Arden Huang Dr.

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Rosenberg, A.E., Bimbot, F., Parthasarathy, S. (2008). Overview of Speaker Recognition. In: Benesty, J., Sondhi, M.M., Huang, Y.A. (eds) Springer Handbook of Speech Processing. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49127-9_36

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  • DOI: https://doi.org/10.1007/978-3-540-49127-9_36

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  • Online ISBN: 978-3-540-49127-9

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