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Convolutional Neural Network in the Task of Speaker Change Detection

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Speech and Computer (SPECOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

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Abstract

This paper presents an approach to detect speaker changes in telephone conversations. The speaker change problem is presented as a classification problem. We use a Convolutional Neural Network to analyze short audio segments. The Network plays a role of a regressor. It outputs higher values for segments that are more likely to contain a speaker change. Upon thresholding the regressed value the decision about the segment is made. The experiment shows that the Convolutional Neural Network outperforms a baseline system based on the Bayesian Information Criterion. It behaves very well on previously unseen data produced by previously unheard speakers.

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Aknowledgments

This research was supported by the Grand Agency of the Czech Republic, project no. P103/12/G084. We would also like to thank the grant of the University of West Bohemia, project No. SGS-2016-039. Access to computing and storage facilities owned by parties and projects contributing to the National Grid Infrastructure MetaCentrum, provided under the programme “Projects of Large Research, Development, and Innovations Infrastructures” (CESNET LM2015042), is greatly appreciated.

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Authors and Affiliations

  1. Faculty of Applied Sciences, NTIS - New Technologies for the Information Society, University of West Bohemia in Pilsen, Univerzitní 8, 306 14, Pilsen, Czech Republic

    Marek Hrúz & Marie Kunešová

  2. Faculty of Applied Sciences, Department of Cybernetics, University of West Bohemia in Pilsen, Univerzitní 8, 306 14, Pilsen, Czech Republic

    Marie Kunešová

Authors
  1. Marek Hrúz
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  2. Marie Kunešová
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Corresponding author

Correspondence to Marek Hrúz .

Editor information

Editors and Affiliations

  1. SPIIRAS , Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University , Moscow, Russia

    Rodmonga Potapova

  3. Budapest University of Technology and Economics, Budapest, Hungary

    Géza Németh

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Hrúz, M., Kunešová, M. (2016). Convolutional Neural Network in the Task of Speaker Change Detection. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_22

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

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