TRAINING METHODS AND ENROLLMENT TECHNIQUES TO IMPROVE THE PERFORMANCE OF AUTOMATED SPEECH RECOGNITION SYSTEMS UNDER CONDITIONS OF HUMAN EXERTION

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" TRAINING METHODS AND ENROLLMENT TECHNIQUES TO IMPROVE THE PERFORMANCE OF AUTOMATED SPEECH RECOGNITION SYSTEMS UNDER CONDITIONS OF HUMAN EXERTION "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148427
Doc. No	:	ET20219
Main Entry	:	Marcia Seivert Entwistle
Title Proper	:	TRAINING METHODS AND ENROLLMENT TECHNIQUES TO IMPROVE THE PERFORMANCE OF AUTOMATED SPEECH RECOGNITION SYSTEMS UNDER CONDITIONS OF HUMAN EXERTION
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Research was conducted to determine if Automated Speech Recognition (ASR)accuracy for exerted speakers could be improved by modifying the enrollment conditionsto more closely match use conditions. Participants were asked to complete ASRenrollment procedures under one of three levels of physical exertion, rested, mild, andhard exertion. After completing the enrollment.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43345.pdf
Title and statement of responsibility and	:	TRAINING METHODS AND ENROLLMENT TECHNIQUES TO IMPROVE THE PERFORMANCE OF AUTOMATED SPEECH RECOGNITION SYSTEMS UNDER CONDITIONS OF HUMAN EXERTION [Thesis]