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Field study evaluation of cepstrum coefficient speech analysis for fatigue in aviation cabin crew.
  • Published Date:
    2013-10-01
  • Language:
    English
Filetype[PDF-1.24 MB]


Details:
  • Publication/ Report Number:
    DOT/FAA/AM-13/19
  • Resource Type:
  • Geographical Coverage:
  • Format:
  • Abstract:
    Impaired neurobehavioral performance induced by fatigue may compromise safety in 24-hr operational

    environmentssuch as aviation. As such, non-invasive, reliable, and valid methods of objectively detecting

    compromised performance capacity in operational settings could be valuable as a means of identifying,

    preventing, and mitigating fatigue-induced safety risks. One approach that has attracted attention in recent

    years is quantitative speech analysis, but the extent of its operational feasibility, validity of the metrics, and

    sensitivity to operationally-relevant factors in aviation remains unknown. To this end, the present report offers

    an initial proof-of-concept evaluation of a speech analysis method based on Cepstrum Coefficient modeling,

    using voice files from a broad sample of 195 cabin crew personnel collected during the 2009-2010 U.S. Civil

    Aerospace Medical Institute-sponsored Flight Attendant Field Study (Roma et al., 2010).

    Using a personal digital assistant device, participants recited five standardized phrases in random order

    before and after each workday and sleep episode throughout their respective 3-4 week study periods.

    Operational acceptability of the procedure was high, as indicated by high protocol compliance and, despite the

    inherent variability of the timing and environments in which the test sessions occurred, the 13,975 files from

    2,795 valid sessions were of sufficient quality for formal analysis. Individualized “baseline” speech models

    were built from the files collected during test sessions coinciding with optimal neurobehavioral performance,

    as determined by 5-min Psychomotor Vigilance Test (PVT) reaction times(RT), then speech deviation scores

    relative to individual baseline models were calculated for the test sessions that preceded and concluded each

    “trip” of multiple consecutive work days. Regarding validity, speech scores correlated significantly with PVT

    RTs and Lapses(RTs > 500 msec), with a stronger relationship to Lapses, but high variability at the low range

    of both performance variables suggests the influence of other factors. Regarding sensitivity to operational

    factors, average Pre-Trip vs. Post-Trip speech scores differed significantly, although scores unexpectedly

    decreased from Pre to Post, an artifact attributable to the composition of the baseline session pool.

    Nonetheless, the pattern of speech data echoed performance data from our previous report in which scores

    were most affected in crew of Regional carriers, with Junior seniority, and in Domestic operations.

    These initial results reveal promising validity and sensitivity of Cepstrum Coefficient modeling for speech

    signal analysis of fatigue in dynamic operational environments. Remaining questions underscore the need to

    further explore the dataset to determine the precise relationship between speech production and

    neurobehavioral performance capacity, the parameters for constructing individualized models, and

    standardized quantitative speech-based definitions of fatigue.

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