A correlation metric in the envelope power spectrum domain for speech intelligibility prediction

H. Relaño-Iborra, Tobias May, Johannes Zaar, Christoph Scheidiger, Torsten Dau

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    Abstract

    A powerful tool to investigate speech perception is the use of speech intelligibility prediction models. Recently, a model was presented, termed correlation-based speech-based envelope power spectrum model (sEPSMcorr) [1], based on the auditory processing of the multi-resolution speech-based Envelope Power Spectrum Model (mr-sEPSM) [2], combined with the correlation back-end of the Short-Time Objective Intelligibility measure (STOI) [3]. The sEPSMcorr can accurately predict NH data for a broad range of listening conditions, e.g., additive noise, phase jitter and ideal binary mask processing
    Original languageEnglish
    Publication date2016
    Publication statusPublished - 2016
    EventARCHES/ICANHEAR 2016: Audiological Research Cores in Europe (ARCHES) meeting and Improved Communication through Applied Hearing Research (ICanHear) conference - University of Zurich, Zurich, Switzerland
    Duration: 21 Nov 201623 Nov 2016
    http://www.uzh.ch/orl/events/Arches2016/Program2016/program2016.html

    Conference

    ConferenceARCHES/ICANHEAR 2016
    LocationUniversity of Zurich
    Country/TerritorySwitzerland
    CityZurich
    Period21/11/201623/11/2016
    Internet address

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