BIOLOGICALLY INSPIRED NOISE-ROBUST SPEECH RECOGNITION FOR BOTH MAN AND MACHINE

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" BIOLOGICALLY INSPIRED NOISE-ROBUST SPEECH RECOGNITION FOR BOTH MAN AND MACHINE "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150219
Doc. No	:	ET22011
Main Entry	:	MARK D. SKOWRONSKI
Title Proper	:	BIOLOGICALLY INSPIRED NOISE-ROBUST SPEECH RECOGNITION FOR BOTH MAN AND MACHINE
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The purpose of this dissertation is to investigate biologically inspired tech-niques for increasing robustness of speech recognition, for both man and machine.This is accomplished in three regimes: the time domain, feature space, and theclassifier. The human auditory system is an existence proof for accurate automaticspeech recognition and has solved the principal complexities that currently plaguemachine recognition: conversational speech, noisy environments, and mismatchedtestltrain data.The three regimes, unique in their relation to biology as well as their rolein recognition, demonstrate the efficacy of biologically inspired computation. In..,..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	:	TL45207.pdf
Title and statement of responsibility and	:	BIOLOGICALLY INSPIRED NOISE-ROBUST SPEECH RECOGNITION FOR BOTH MAN AND MACHINE [Thesis]