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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150120
Doc. No : ET21912
Main Entry : Soundararajan Srinivasan, M.S.
Title Proper : INTEGRATING COMPUTATIONAL AUDITORY SCENE ANALYSIS AND AUTOMATIC SPEECH RECOGNITION
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Speech perception studies indicate that robustness of human speech recognitionis primarily due to our ability to segregate a target sound source from other inter-fering sources. This perceptual process of auditory scene analysis (ASA) is of twotypes, primitive and schema-driven. Primitive ASA is an innate mechanism basedon bottom-up acoustic cues such as pitch, common onset, and spatial location of asound source. Schema-based ASA involves the top-down use of stored knowledge,such as speech patterns, to supplement primitive analysis. This dissertation inves-tigates several aspects of integrating computational ASA (CASA) and automaticspeech recognition (ASR). While bottom-up CASA are used as front-end for ASRto improve its robustness, ASR is used to provide top-down information to enhanceprimitive segregation.,..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 : TL45106.pdf
Title and statement of responsibility and : INTEGRATING COMPUTATIONAL AUDITORY SCENE ANALYSIS AND AUTOMATIC SPEECH RECOGNITION [Thesis]
 
 
 
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