Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/838
Title: ACOUSTIC FEATURES OPTIMIZATION FOR PUNJABI AUTOMATIC SPEECH RECOGNITION SYSTEM
Authors: Kadyan, Virender
Keywords: SPEECH RECOGNITION SYSTEM
Issue Date: 28-Jul-2018
Publisher: Chitkara University
Abstract: With many advances made in automatic speech recognition technology over past few decades, there is now an increasing demand of developing Indian ASR. There is a huge gap between performance of machines and a human due to lack of resources, complexity in handling feature vectors, decorrelation of feature information and robustness beside ever increasing changes in input speech conditions. Different approaches have been examined to tackle these factors. The aim of the proposed research work is to cope with these issues through refinement, combination, & integration of front and back end approaches with different methodologies.
URI: http://hdl.handle.net/123456789/838
Appears in Collections:Doctoral Theses

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Chapter2.pdf551.75 kBAdobe PDFView/Open
Chapter3.pdf1.44 MBAdobe PDFView/Open
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Chapter6.pdf640.51 kBAdobe PDFView/Open
Chapter7 (1).pdf198.01 kBAdobe PDFView/Open
Contents.pdf189.88 kBAdobe PDFView/Open
Front_pages.pdf580.32 kBAdobe PDFView/Open
List_of_Publications.pdf175.86 kBAdobe PDFView/Open
Thesis_main_page_jmc.pdf182.99 kBAdobe PDFView/Open


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