An Information Theoretic Approach to Predict Speech Intelligibility for Listeners with Normal and Impaired Hearing
2007 (English)In: INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4, BAIXAS, FRANCE: ISCA-INST SPEECH COMMUNICATION ASSOC , 2007, 1345-1348 p.Conference paper (Refereed)
A computational method to predict speech intelligibility in noisy environments has been developed. By modeling speech and noise as stochastic signals, the information transmission through a given auditory model can be estimated. Rate-distortion theory is then applied to predict speech recognition performance. Results are compared with subjective tests on normal and hearing impaired listeners. It is found that the method underestimates the supra-threshold deficits of hearing impairment, which is believed to be due to an overly simple auditory model and a small dictionary size.
Place, publisher, year, edition, pages
BAIXAS, FRANCE: ISCA-INST SPEECH COMMUNICATION ASSOC , 2007. 1345-1348 p.
speech intelligibility, speech perception, auditory models
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-25766ISI: 000269998600337ScopusID: 2-s2.0-56149113289ISBN: 978-160560316-2OAI: oai:DiVA.org:kth-25766DiVA: diva2:359741
Interspeech Conference 2007, Antwerp, BELGIUM, AUG 27-31, 2007