VT-AMDF pitch detection algorithm and Thai tone recognition system

Conference proceedings article

Authors/Editors

KOSIN CHAMNONGTHAI

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Publication Details

Author list: Prukkanon N., Chamnongthai K., Miyanaga Y.

Publisher: Hindawi

Publication year: 2011

Start page: 958

End page: 961

Number of pages: 4

ISBN: 9781457704246

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961221927&doi=10.1109%2fECTICON.2011.5948001&partnerID=40&md5=8b8c8d9324b9b74e427e99cf000eaa0f

Languages: English-Great Britain (EN-GB)

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Abstract

This paper, we evaluated VT-AMDF pitch detection algorithm with Thai tone recognition system. The varied time interval of average magnitude different function (VT-AMDF), the original AMDF, and the circular AMDF (CAMDF) are used to extract fundamental frequency (F0) and compared recognition performance. F0 data, extracted from those three pitch detection algorithms are separated and formed a contour and a subsection F0 which used as tone features of Hidden Markov Models (HMM). Training and testing utterances were collected from 26 speakers uttering seven Thai isolated words in five difference tones. The result shows that the VT-AMDF algorithm yields more accurate tone recognition than the others when cooperated with minimum detection method or threshold detection method in 256 samples per frame condition. ฉ 2011 IEEE.

Keywords