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An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition

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Speech and Computer (SPECOM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10458))

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Abstract

Automatic detection and demarcation of non-speech sounds in speech is critical for developing sophisticated human-machine interaction systems. The main objective of this study is to develop acoustic features capturing the production differences between speech and breath sounds in terms of both, excitation source and vocal tract system based characteristics. Using these features, a rule-based algorithm is proposed for automatic detection of breath sounds in spontaneous speech. The proposed algorithm outperforms the previous methods for detection of breath sounds in spontaneous speech. Further, the importance of breath detection for speaker recognition is analyzed by considering an i-vector-based speaker recognition system. Experimental results show that the detection of breath sounds, prior to i-vector extraction, is essential to nullify the effect of breath sounds occurring in test samples on speaker recognition, which otherwise will degrade the performance of i-vector-based speaker recognition systems.

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Acknowledgments

The authors would like to thank Dr. Sunil Kumar Kopparapu, of TCS Innovation Labs - Mumbai, for providing his critical comments and suggestions which helped improve the content of this paper.

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Authors and Affiliations

  1. TCS Innovation Labs, Mumbai, India

    Sri Harsha Dumpala

  2. International Institute of Information Technology, Hyderabad, India

    K. N. R. K. Raju Alluri

Authors
  1. Sri Harsha Dumpala
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  2. K. N. R. K. Raju Alluri
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Corresponding author

Correspondence to Sri Harsha Dumpala .

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Editors and Affiliations

  1. SPIIRAS, Saint Petersburg, Russia

    Alexey Karpov

  2. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

  3. University of Hertfordshire, Hatfield, United Kingdom

    Iosif Mporas

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Dumpala, S.H., Alluri, K.N.R.K.R. (2017). An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition. In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-66429-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66428-6

  • Online ISBN: 978-3-319-66429-3

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