Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/574957
Title: Speech Signal Processing and Characterization for Gender Identification
Researcher: Abhishek Singhal
Guide(s): Devendra Kumar Sharma
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: SRM Institute of Science and Technology
Completed Date: 2024
Abstract: Voice signals serve as a fundamental medium for human communication, newlineconveying both message information and unique speaker characteristics. In the realm of newlinevoice signal analysis, the linguistic nuances encapsulated in these signals offer insights newlineinto various aspects of human identity, including language proficiency, health status, newlineemotional state, age, and gender. Among these, gender identification through voice signals newlinestands out as a particularly intricate challenge. newlineExisting literature predominantly focuses on gender identification for male and female speakers, overlooking the voice signals of the third gender, namely transgender newlineindividuals newline
Pagination: 
URI: http://hdl.handle.net/10603/574957
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File150.89 kBAdobe PDFView/Open
02_preliminary page.pdf953.6 kBAdobe PDFView/Open
03_content.pdf660.67 kBAdobe PDFView/Open
04_abstract.pdf533.5 kBAdobe PDFView/Open
05_chapter 1.pdf1.03 MBAdobe PDFView/Open
06_chapter 2.pdf632.47 kBAdobe PDFView/Open
07_chapter 3.pdf799.29 kBAdobe PDFView/Open
08_chapter 4.pdf944.95 kBAdobe PDFView/Open
09_chapter 5.pdf859.87 kBAdobe PDFView/Open
10_chapter 6.pdf711.41 kBAdobe PDFView/Open
11_chapter 7.pdf826.97 kBAdobe PDFView/Open
12_chapter 8.pdf567.14 kBAdobe PDFView/Open
13_annexures.pdf638.56 kBAdobe PDFView/Open
80_recommendation.pdf585.15 kBAdobe PDFView/Open
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