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A Survey on Automatic Speaker Recognition Systems

  • Conference paper
Signal Processing and Multimedia (MulGraB 2010, SIP 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 123))

Abstract

Human listeners are capable of identifying a speaker, over the telephone or an entryway out of sight, by listening to the voice of the speaker. Achieving this intrinsic human specific capability is a major challenge for Voice Biometrics. Like human listeners, voice biometrics uses the features of a person’s voice to ascertain the speaker’s identity. The best-known commercialized forms of voice Biometrics is Speaker Recognition System (SRS). Speaker recognition is the computing task of validating a user’s claimed identity using characteristics extracted from their voices. This literature survey paper gives brief introduction on SRS, and then discusses general architecture of SRS, biometric standards relevant to voice/speech, typical applications of SRS, and current research in Speaker Recognition Systems. We have also surveyed various approaches for SRS.

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Author information

Authors and Affiliations

  1. CDAC-Mumbai, Gulmohar Cross Road No.9, Juhu, Mumbai, 400049, India

    Zia Saquib, Nirmala Salam, Rekha P. Nair, Nipun Pandey & Akanksha Joshi

Authors
  1. Zia Saquib
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  2. Nirmala Salam
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  3. Rekha P. Nair
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  4. Nipun Pandey
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  5. Akanksha Joshi
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Editor information

Editors and Affiliations

  1. Hannam University, Daejeon, South Korea

    Tai-hoon Kim

  2. Indian Statistical Institute, Kolkata, India

    Sankar K. Pal

  3. Department of Computer and Information Science, University of Michigan – Dearborn, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Florida International University, EC 2910, 10555 W. Flagler Street, 33174, Miami, FL, USA

    Niki Pissinou

  5. National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, 106, Taipei City, Taiwan (R.O.C.)

    Timothy K. Shih

  6. University of Warsaw & Infobright Inc., Poland

    Dominik Ślęzak

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© 2010 Springer-Verlag Berlin Heidelberg

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Saquib, Z., Salam, N., Nair, R.P., Pandey, N., Joshi, A. (2010). A Survey on Automatic Speaker Recognition Systems. In: Kim, Th., Pal, S.K., Grosky, W.I., Pissinou, N., Shih, T.K., Ślęzak, D. (eds) Signal Processing and Multimedia. MulGraB SIP 2010 2010. Communications in Computer and Information Science, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17641-8_18

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  • DOI: https://doi.org/10.1007/978-3-642-17641-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17640-1

  • Online ISBN: 978-3-642-17641-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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