International Conference on Statistical Language and Speech Processing

Statistical Language and Speech Processing pp 8-17 | Cite as

The Prediction of Fatigue Using Speech as a Biosignal

  • Khan Baykaner
  • Mark Huckvale
  • Iya Whiteley
  • Oleg Ryumin
  • Svetlana Andreeva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9449)

Abstract

Automatic systems for estimating operator fatigue have application in safety-critical environments. We develop and evaluate a system to detect fatigue from speech recordings collected from speakers kept awake over a 60-hour period. A binary classification system (fatigued/not-fatigued) based on time spent awake showed good discrimination, with 80 % unweighted accuracy using raw features, and 90 % with speaker-normalized features. We describe the data collection, feature analysis, machine learning and cross-validation used in the study. Results are promising for real-world applications in domains such as aerospace, transportation and mining where operators are in regular verbal communication as part of their normal working activities.

Keywords

Fatigue Speech Computational paralinguistics 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Khan Baykaner
    • 1
  • Mark Huckvale
    • 1
  • Iya Whiteley
    • 2
  • Oleg Ryumin
    • 3
  • Svetlana Andreeva
    • 3
  1. 1.Speech Hearing and Phonetic Sciences, UCLLondonUK
  2. 2.Centre for Space Medicine, UCLDorkingUK
  3. 3.Gagarin Cosmonaut Training CentreStar CityRussia

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