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Multi-factor Method for Detection of Filled Pauses and Lengthenings in Russian Spontaneous Speech

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Speech and Computer (SPECOM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9319))

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Abstract

Spontaneous speech contains high rates of speech disfluencies, most common being filled paused and lengthenings (FPs). Human language technologies are often developed for other than spontaneous types of speech, and disfluencies occurrence is the reason for many mistakes in automatic speech recognition systems. In this paper we present a method of automatic detection of FPs using linear combination of statistical characteristics of acoustic parameters variance, basing on a preliminary study of FPs parameters across the mixed and quality-diverse corpus of Russian spontaneous speech. Experiments were carried out on a corpus, consisting of the task-based dialogue corpus of Russian spontaneous speech collected in SPIIRAS and on Russian casual conversations from Open Source Multi-Language Audio Database collected in Binghamton University.

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Acknowledgements

This research is supported by the grant of Russian Foundation for Basic Research (project No 15-06-04465) and by the Council of Grants of the President of Russia (project No MK-5209.2015.8).

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Authors and Affiliations

  1. SPIIRAS, 39, 14th Line, St. Petersburg, Russia

    Vasilisa Verkhodanova

  2. Betria Systems Inc, 50, Building 11, Ligovsky Prospekt, St. Petersburg, Russia

    Vladimir Shapranov

Authors
  1. Vasilisa Verkhodanova
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  2. Vladimir Shapranov
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Corresponding author

Correspondence to Vasilisa Verkhodanova .

Editor information

Editors and Affiliations

  1. SPIIRAS, Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

  3. University of Patras, Patras, Greece

    Nikos Fakotakis

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Verkhodanova, V., Shapranov, V. (2015). Multi-factor Method for Detection of Filled Pauses and Lengthenings in Russian Spontaneous Speech. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_35

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  • DOI: https://doi.org/10.1007/978-3-319-23132-7_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23131-0

  • Online ISBN: 978-3-319-23132-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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