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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149112
Doc. No : ET20904
Main Entry : Shivali Srivastava
Title Proper : FAST GAUSSIAN EVALUATIONS IN LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Rapid advances in speech recognition theory, as well as computing hardware, haveled to the development of machines that can take human speech as input, decode theinformation content of the speech, and respond accordingly. Real-time performance ofsuch systems is often dominated by the evaluation of likelihoods in the statisticalmodeling component of the system. Statistical models are typically implemented using.
Subject : Electericl tess
: برق
electronic file name : TL44050.pdf
Title and statement of responsibility and : FAST GAUSSIAN EVALUATIONS IN LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION [Thesis]
 
 
 
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