Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/838
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dc.contributor.authorKadyan, Virender-
dc.date.accessioned2020-02-11T06:36:38Z-
dc.date.available2020-02-11T06:36:38Z-
dc.date.issued2018-07-28-
dc.identifier.urihttp://hdl.handle.net/123456789/838-
dc.description.abstractWith 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.en_US
dc.language.isoenen_US
dc.publisherChitkara Universityen_US
dc.subjectSPEECH RECOGNITION SYSTEMen_US
dc.titleACOUSTIC FEATURES OPTIMIZATION FOR PUNJABI AUTOMATIC SPEECH RECOGNITION SYSTEMen_US
dc.typeThesisen_US
Appears in Collections:Doctoral Theses

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Abstract.pdf181.34 kBAdobe PDFView/Open
Bibliography (2).pdf371.01 kBAdobe PDFView/Open
chapter1.pdf738.35 kBAdobe PDFView/Open
Chapter2.pdf551.75 kBAdobe PDFView/Open
Chapter3.pdf1.44 MBAdobe PDFView/Open
Chapter4.pdf736.94 kBAdobe PDFView/Open
Chapter5.pdf918.83 kBAdobe PDFView/Open
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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