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

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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
CountrySwitzerland
CityZurich
Period21/11/201623/11/2016
Internet address

Activities

  • 1 Conference presentations

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

Helia Relano Iborra (Guest lecturer)

2017

Activity: Talks and presentationsConference presentations

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Cite this

Relaño-Iborra, H., May, T., Zaar, J., Scheidiger, C., & Dau, T. (2016). A correlation metric in the envelope power spectrum domain for speech intelligibility prediction. Poster session presented at ARCHES/ICANHEAR 2016, Zurich, Switzerland.