Extending a computational model of auditory processing towards speech intelligibility prediction

  • Helia Relaño-Iborra Hearing Systems, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
  • Johannes Zaar Hearing Systems, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
  • Torsten Dau Hearing Systems, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark

Abstract

A speech intelligibility model is presented based on the computational auditory signal processing and perception model (CASP; Jepsen et al., 2008). CASP has previously been shown to successfully predict psychoacoustic data obtained in normal-hearing (NH) listeners in a wide range of listening conditions. Moreover, CASP can be parametrized to account for data from individual hearing-impaired listeners (Jepsen and Dau, 2011). In this study, the CASP model was investigated as a predictor of speech intelligibility measured in NH listeners in conditions of additive noise, phase jitter, spectral subtraction and ideal binary mask processing.

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Published
2018-03-20
How to Cite
RELAÑO-IBORRA, Helia; ZAAR, Johannes; DAU, Torsten. Extending a computational model of auditory processing towards speech intelligibility prediction. Proceedings of the International Symposium on Auditory and Audiological Research, [S.l.], v. 6, p. 319-326, mar. 2018. ISSN 2596-5522. Available at: <https://proceedings.isaar.eu/index.php/isaarproc/article/view/2017-39>. Date accessed: 22 may 2018.
Section
2017/5. Speech perception: Behavioral measures and modelling