Extending a computational model of auditory processing towards speech intelligibility prediction

Forfattere

  • 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

Resumé

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.

Referencer

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Adaptive processes in hearing

Yderligere filer

Publiceret

2018-03-20

Citation/Eksport

Relaño-Iborra, H., Zaar, J., & Dau, T. (2018). Extending a computational model of auditory processing towards speech intelligibility prediction. Proceedings of the International Symposium on Auditory and Audiological Research, 6, 319–326. Hentet fra https://proceedings.isaar.eu/index.php/isaarproc/article/view/2017-39

Nummer

Årg. 6 (2017): Adaptive Processes in Hearing

Sektion

2017/5. Speech perception: Behavioral measures and modelling

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