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Speaker Recognition for VoIP Transmission Using Gaussian Mixture Models

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Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

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Abstract

The paper presents the speaker recognition problem in the background of voice transmission via Internet. The Gaussian Mixture Models (GMM) classification, the voice feature extraction, the Internet speech transmission standards and the packet loss simulation methodology applied in the tested system were overviewed. Speaker identification scores obtained for the tested GMM based text-dependent system has revealed a minor significance of packet loss problem in this aspect.

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© 2005 Springer-Verlag Berlin Heidelberg

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Staroniewicz, P. (2005). Speaker Recognition for VoIP Transmission Using Gaussian Mixture Models. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_87

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  • DOI: https://doi.org/10.1007/3-540-32390-2_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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