Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26450
Title: Syllable modeling in continuous Speech recognition for tamil Language
Researcher: Thangarajan R
Guide(s): Natarajan A M
Keywords: Speech recognition
Upload Date: 10-Oct-2014
University: Anna University
Completed Date: 01-10-2010
Abstract: Automatic speech recognition transcribes spoken words into text newlineSome of the challenging issues in speech recognition include variability in newlinephonetic context inconsistency of speaking style unevenness among different newlinespeakers and noise in the environment In this thesis continuous speech newlinerecognition of the Tamil language is considered Tamil is an agglutinative newlinelanguage in which the morphological process of adding affixes to the base of newlinea word is very common Tamil is a syllable timed language which has a newlineunique feature called the prosodic syllable Intonation and duration of an newlineutterance in Tamil is based systematically on the prosodic syllable newlineTwo methodologies have been proposed to address the context newlinevariability among phonetic units newline newline
Pagination: xvii, 128p.
URI: http://hdl.handle.net/10603/26450
Appears in Departments:Faculty of Information and Communication Engineering

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04_acknowledgement.pdf20.35 kBAdobe PDFView/Open
05_content.pdf71.68 kBAdobe PDFView/Open
06_chapter1.pdf178.44 kBAdobe PDFView/Open
07_chapter2.pdf76.87 kBAdobe PDFView/Open
08_chapter3.pdf359.3 kBAdobe PDFView/Open
09_chapter4.pdf110.65 kBAdobe PDFView/Open
10_chapter5.pdf196.02 kBAdobe PDFView/Open
11_chapter6.pdf142.28 kBAdobe PDFView/Open
12_chapter7.pdf174.4 kBAdobe PDFView/Open
13_chapter8.pdf37.26 kBAdobe PDFView/Open
14_appendix.pdf33.62 kBAdobe PDFView/Open
15_reference.pdf39.77 kBAdobe PDFView/Open
16_publication.pdf23.79 kBAdobe PDFView/Open
17_vitae.pdf17.15 kBAdobe PDFView/Open
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