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Psychometric properties of the coordinate response measure corpus with various types of background interference
Author(s) -
David A. Eddins,
Chang Liu
Publication year - 2012
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.3678680
Subject(s) - intelligibility (philosophy) , computer science , identification (biology) , word identification , measure (data warehouse) , noise (video) , speech recognition , natural language processing , artificial intelligence , word recognition , linguistics , data mining , philosophy , botany , image (mathematics) , reading (process) , epistemology , biology
The coordinate response measure (CRM) corpus has gained broad acceptance as a research tool for investigating speech intelligibility in background competition and has been widely used in studies of informational masking. The purpose of this study is to establish the psychometric characteristics of CRM target-word identification in various backgrounds with the goal of being able to determine when it is appropriate or not to use adaptive threshold procedures with the CRM corpus. Target-word identification performance based on adaptive tracking mapped directly onto the monotonic psychometric functions obtained for two-talker, four-talker, and cafeteria noise interferers.

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