Developing Models for Multi-Talker Listening Tasks using the EPIC Architecture: Wrong Turns and Lessons Learned
dc.contributor.author | Kieras, David E. | |
dc.contributor.author | Wakefield, Gregory H. | |
dc.date.accessioned | 2014-08-11T20:11:16Z | |
dc.date.available | 2014-08-11T20:11:16Z | |
dc.date.issued | 2014-07-30 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/108165 | |
dc.description.abstract | This report describes the development of a series of computational cognitive architecture models for the multi-channel listening task studied in the fields of audition and human performance. The models can account for the phenomena in which humans can respond to a designated spoken message in the context of multiple simultaneous speech messages from multiple speakers - the so-called "cocktail party effect." They are the first models of a new class that combine psychoacoustic perceptual mechanisms with production-system cognitive processing to account for the end-to-end performance in an important empirical literature. | en_US |
dc.description.sponsorship | Office of Naval Research, Cognitive Science Program, under grant numbers N00014-10-1-0152 and N00014-13-1-0358, and the U. S. Air Force 711 HW Chief Scientist Seedling program | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | TR-EPIC-17 | en_US |
dc.subject | Cognitive Architecture | en_US |
dc.subject | Multi-channel Listening Tasks | en_US |
dc.subject | Audition | en_US |
dc.subject | Human Performance | en_US |
dc.title | Developing Models for Multi-Talker Listening Tasks using the EPIC Architecture: Wrong Turns and Lessons Learned | en_US |
dc.type | Technical Report | en_US |
dc.subject.hlbsecondlevel | Electrical Engineering | |
dc.subject.hlbsecondlevel | Computer Science | |
dc.subject.hlbtoplevel | Engineering | |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/108165/1/Kieras_Wakefield_TR_EPIC_17_July_2014.pdf | |
dc.identifier.source | Technical Report | en_US |
dc.description.mapping | -1 | en_US |
dc.description.filedescription | Description of Kieras_Wakefield_TR_EPIC_17_July_2014.pdf : Technical report content | |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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