AUDITORY-BASED ALGORITHMS FOR SOUND SEGREGATION IN MULTISOURCE AND REVERBERANT ENVIRONMENTS

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" AUDITORY-BASED ALGORITHMS FOR SOUND SEGREGATION IN MULTISOURCE AND REVERBERANT ENVIRONMENTS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150824
Doc. No	:	ET22616
Main Entry	:	Nicoleta Roman, M. S.
Title Proper	:	AUDITORY-BASED ALGORITHMS FOR SOUND SEGREGATION IN MULTISOURCE AND REVERBERANT ENVIRONMENTS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	At a cocktail party, we can selectively attend to a single voice and filter out all theother acoustical interferences. This perceptual ability has motivated the emergence of anew field of study known as computational auditory scene analysis (CASA) which aimsto build speech separation systems that incorporate principles of auditory organization.The psychological process of figure-ground segregation suggests that the target signalshould be segregated as foreground while the remaining stimuli are treated asbackground. Accordingly, the computational goal of CASA should be to estimate an idealtime-frequency (T-F) binary mask,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45840.pdf
Title and statement of responsibility and	:	AUDITORY-BASED ALGORITHMS FOR SOUND SEGREGATION IN MULTISOURCE AND REVERBERANT ENVIRONMENTS [Thesis]