Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain

Research output: Contribution to conferencePosterResearch

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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 speechbased 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 date2017
Number of pages1
Publication statusPublished - 2017
Event40th MidWinter Meeting of the Association for Research in Otolaryngology - Baltimore Marriott Waterfront , Baltimore, United States
Duration: 11 Feb 201715 Feb 2017

Conference

Conference40th MidWinter Meeting of the Association for Research in Otolaryngology
LocationBaltimore Marriott Waterfront
CountryUnited States
CityBaltimore
Period11/02/201715/02/2017

Cite this

Relano-Iborra, H., May, T., Zaar, J., Scheidiger, C., & Dau, T. (2017). Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain. Poster session presented at 40th MidWinter Meeting of the Association for Research in Otolaryngology, Baltimore, United States.
Relano-Iborra, Helia ; May, Tobias ; Zaar, Johannes ; Scheidiger, Christoph ; Dau, Torsten. / Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain. Poster session presented at 40th MidWinter Meeting of the Association for Research in Otolaryngology, Baltimore, United States.1 p.
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title = "Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain",
abstract = "A powerful tool to investigate speech perception is the use of speech intelligibility prediction models. Recently, a model was presented, termed correlation-based speechbased 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.",
author = "Helia Relano-Iborra and Tobias May and Johannes Zaar and Christoph Scheidiger and Torsten Dau",
year = "2017",
language = "English",
note = "40th MidWinter Meeting of the Association for Research in Otolaryngology ; Conference date: 11-02-2017 Through 15-02-2017",

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Relano-Iborra, H, May, T, Zaar, J, Scheidiger, C & Dau, T 2017, 'Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain' 40th MidWinter Meeting of the Association for Research in Otolaryngology, Baltimore, United States, 11/02/2017 - 15/02/2017, .

Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain. / Relano-Iborra, Helia; May, Tobias; Zaar, Johannes; Scheidiger, Christoph; Dau, Torsten.

2017. Poster session presented at 40th MidWinter Meeting of the Association for Research in Otolaryngology, Baltimore, United States.

Research output: Contribution to conferencePosterResearch

TY - CONF

T1 - Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain

AU - Relano-Iborra, Helia

AU - May, Tobias

AU - Zaar, Johannes

AU - Scheidiger, Christoph

AU - Dau, Torsten

PY - 2017

Y1 - 2017

N2 - A powerful tool to investigate speech perception is the use of speech intelligibility prediction models. Recently, a model was presented, termed correlation-based speechbased 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.

AB - A powerful tool to investigate speech perception is the use of speech intelligibility prediction models. Recently, a model was presented, termed correlation-based speechbased 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.

M3 - Poster

ER -

Relano-Iborra H, May T, Zaar J, Scheidiger C, Dau T. Prediction of speech intelligibility based on a correlation metric in the envelope power spectrum domain. 2017. Poster session presented at 40th MidWinter Meeting of the Association for Research in Otolaryngology, Baltimore, United States.