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An Automatic Shout Detection System Using Speech Production Features

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Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA3HMI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8757))

Abstract

Automatic detection of shout in continuous speech is a challenging task. In our recent study, the characteristics of shout and normal speech signals are examined along with the electroglottograph (EGG) signals. The study highlights the changes in the characteristics of both the excitation source and the vocal tract system during production of shout, from those of normal speech. In this paper, we aim to develop an automatic system to detect regions of shout in continuous speech, based upon changes in the production characteristics of shouted speech. Discriminating production features like instantaneous fundamental frequency, strength of excitation, dominant frequency and spectral band energy ratio are extracted from the speech signal. Parameters are derived for the shout decision capturing average level and temporal changes in the features and their pairwise mutual relations. A speaker and language independent prototype automatic shout detection system is developed. Performance evaluation over four databases gave encouraging results.

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Acknowledgement

This work is partially supported by research collaboration between Speech Vision Laboratory, IIIT, Hyderabad and SAIT, SRI, Bangalore (2010-2013).

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Authors and Affiliations

  1. International Institute of Information Technology, Hyderabad, India

    Vinay Kumar Mittal & Bayya Yegnanarayana

Authors
  1. Vinay Kumar Mittal
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  2. Bayya Yegnanarayana
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Corresponding author

Correspondence to Vinay Kumar Mittal .

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Editors and Affiliations

  1. Otto von Guericke University, Magdeburg, Germany

    Ronald Böck

  2. Trinity College, Dublin, Ireland

    Francesca Bonin

  3. Trinity College, Dublin, Ireland

    Nick Campbell

  4. Utrecht University, Utrecht, The Netherlands

    Ronald Poppe

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Mittal, V.K., Yegnanarayana, B. (2015). An Automatic Shout Detection System Using Speech Production Features. In: Böck, R., Bonin, F., Campbell, N., Poppe, R. (eds) Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction. MA3HMI 2014. Lecture Notes in Computer Science(), vol 8757. Springer, Cham. https://doi.org/10.1007/978-3-319-15557-9_9

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  • DOI: https://doi.org/10.1007/978-3-319-15557-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15556-2

  • Online ISBN: 978-3-319-15557-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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