Conference paper
Extending a computational model of auditory processing towards speech intelligibility prediction
In
Proceedings of the International Symposium on Auditory and Audiological Research
—
2018, pp. 319-326
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.
| Language: | English |
|---|---|
| Publisher: | The Danavox Jubilee Foundation |
| Year: | 2018 |
| Pages: | 319-326 |
| Proceedings: | International Symposium on Auditory and Audiological Research |
| ISBN: | 8799001365 and 9788799001361 |
| Types: | Conference paper |
| ORCIDs: | Relaño-Iborra, H. and Dau, Torsten |
