The role of across-frequency envelope processing for speech intelligibility

Alexandre Chabot-Leclerc, Søren Jørgensen, Torsten Dau

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    Speech intelligibility models consist of a preprocessing part that transforms the stimuli into some internal (auditory) representation, and a decision metric that quantifies effects of transmission channel, speech interferers, and auditory processing on the speech intelligibility. Here, two recent speech intelligibility models, the spectro-temporal modulation index [STMI; Elhilali et al. (2003)] and the speech-based envelope power spectrum model [sEPSM; Jørgensen and Dau (2011)] were evaluated in conditions of noisy speech subjected to reverberation, and to nonlinear distortions through either a phase jitter process or noise reduction via spectral subtraction. The contributions of the individual preprocessing stages in the models and the role of the decision metrics were analyzed in the different experimental conditions. It is demonstrated that an explicit across-frequency envelope processing stage, as assumed in the STMI, together with the metric based on the envelope power signal-to-noise ratio, as assumed in the sEPSM, are required to account for all three conditions. However, a simple weighting of the across-frequency variance of the modulation power at the output of the (purely temporal) modulation filterbank is assumed to be sufficient to describe the data, i.e., a joint two-dimensional modulation filterbank might not be required.
    Original languageEnglish
    Article number2pSCb20
    JournalAcoustical Society of America. Journal
    Issue number5
    Pages (from-to)3391-3391
    Publication statusPublished - 2013
    Event21st International Congress on Acoustics - Montreal, Canada
    Duration: 2 Jun 20137 Jun 2013
    Conference number: 21


    Conference21st International Congress on Acoustics
    Internet address


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