Conference paper
Extending a computational model of auditory processing towards speech intelligibility prediction
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 |