A physiologically inspired model of auditory stream segregation based on a temporal coherence analysis

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Documents

View graph of relations

The ability to perceptually separate acoustic sources and focus one’s attention on a single source at a time is essential for our ability to use acoustic information. In this study, a physiologically inspired model of human auditory processing [M. L. Jepsen and T. Dau, J. Acoust. Soc. Am. 124, 422-438, (2008)] was used as a front end of a model for auditory stream segregation. A temporal coherence analysis [M. Elhilali, C. Ling, C. Micheyl, A. J. Oxenham and S. Shamma, Neuron. 61, 317-329, (2009)] was applied at the output of the preprocessing, using the coherence across tonotopic channels to
group activity across frequency. Using this approach, the described model is able to quantitatively account for classical streaming phenomena relying on frequency separation and tone presentation rate, such as the temporal coherence boundary and the fission boundary [L. P. A. S. van Noorden, doctoral dissertation, Institute for Perception Research, Eindhoven,
NL, (1975)]. The same model also accounts for the perceptual grouping of distant spectral components in the case of synchronous presentation. The most essential components of the front-end and back-end processing in the framework of the presented model are analysed and future perspectives discussed.
Original languageEnglish
Title of host publicationProceedings of Meetings on Acoustics
Number of pages7
Volume15
PublisherAcoustical Society of America
Publication date2012
StatePublished

Conference

Conference163rd Meeting Acoustical Society of America
CountryChina
CityHong Kong
Period13/05/1218/05/12
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 9720414