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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150171
Doc. No : ET21963
Main Entry : Dmitri Bitouk
Title Proper : HEAD-POSE AND ILLUMINATION INVARIANT 3-D AUDIO-VISUAL SPEECH RECOGNITION
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Speech perception is bimodal, employing not only the acoustic signal, but alsovisual cues. Audio-visual speech recognition aims to improve the performance of con-ventional automated speech recognition by incorporating visual information. Due to afundamentally limited two-dimensional representation employed, current approachesfor visual feature extraction lack invariance to speaker's pose and illumination in theenvironment. The research presented in this thesis aims to develop three-dimensionalmethods for visual feature extraction that alleviate the above-mentioned limitation.Following the concepts of Grenander's General Pattern.,..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 : TL45159.pdf
Title and statement of responsibility and : HEAD-POSE AND ILLUMINATION INVARIANT 3-D AUDIO-VISUAL SPEECH RECOGNITION [Thesis]
 
 
 
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