Behavior Research Methods

, Volume 39, Issue 3, pp 610–619 | Cite as

Fatigue estimation using voice analysis

  • Harold P. GreeleyEmail author
  • Joel Berg
  • Eric Friets
  • John Wilson
  • Glen Greenough
  • Joseph Picone
  • Jeff rey Whitmore
  • Thomas Nesthus


In the present article, we present a means to remotely and transparently estimate an individual’s level of fatigue by quantifying changes in his or her voice characteristics. Using Voice analysis to estimate fatigue is unique from established cognitive measures in a number of ways: (1) speaking is a natural activity requiring no initial training or learning curve, (2) voice recording is a unobtrusive operation allowing the speakers to go about their normal work activities, (3) using telecommunication infrastructure (radio, telephone, etc.) a diffuse set of remote populations can be monitored at a central location, and (4) often, previously recorded voice data are available for post hoc analysis. By quantifying changes in the mathematical coefficients that describe the human speech production process, we were able to demonstrate that for speech sounds requiring a large average air flow, a speaker’s voice changes in synchrony with both direct measures of fatigue and with changes predicted by the length of time awake.


Fatigue Speech Signal Nonparametric Model Sleep Onset Latency Multiple Sleep Latency Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Psychonomic Society, Inc. 2007

Authors and Affiliations

  • Harold P. Greeley
    • 1
    Email author
  • Joel Berg
    • 1
  • Eric Friets
    • 1
  • John Wilson
    • 1
  • Glen Greenough
    • 2
  • Joseph Picone
    • 3
  • Jeff rey Whitmore
    • 4
  • Thomas Nesthus
    • 5
  1. 1.Creare IncorporatedHanover
  2. 2.Dartmouth-Hitchcock Medical CenterLebanon
  3. 3.University of MississippiStarksville
  4. 4.Air Force Research LaboratoryBrooks City-Base
  5. 5.FAA Civil Aerospace Medical InstituteOklahoma City

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