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Stochastic Feature Compensation for Robust Speaker Verification

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Robust Speaker Recognition in Noisy Environments

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSSPEECHTECH))

Abstract

This chapter explores the impact of standard stereo-based stochastic feature compensation (SFC) methods for robust speaker verification in uniform noisy environments. In this work, SFC using independent as well as joint probability models are explored for compensating the effect of noise. Integration of a SFC stage in the GMM-UBM framework is proposed for speaker verification evaluation under mismatched conditions.

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Authors and Affiliations

  1. School of Information Technology, Indian Institute of Technology, Kharagpur, West Bengal, India

    K. Sreenivasa Rao

  2. Indian Institute of Technology Kharagpur, Kharagpur, India

    Sourjya Sarkar

Authors
  1. K. Sreenivasa Rao
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  2. Sourjya Sarkar
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Rao, K.S., Sarkar, S. (2014). Stochastic Feature Compensation for Robust Speaker Verification. In: Robust Speaker Recognition in Noisy Environments. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-07130-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-07130-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07129-9

  • Online ISBN: 978-3-319-07130-5

  • eBook Packages: EngineeringEngineering (R0)

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