DocumentCode
2189894
Title
VT-AMDF pitch detection algorithm and Thai tone recognition system
Author
Prukkanon, Nutthacha ; Chamnongthai, Kosin ; Miyanaga, Yoshikazu
Author_Institution
Dept. of Comput. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok, Thailand
fYear
2011
fDate
17-19 May 2011
Firstpage
958
Lastpage
961
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.
Keywords
hidden Markov models; speech recognition; Thai isolated words; Thai tone recognition system; VT-AMDF pitch detection algorithm; average magnitude different function; circular AMDF; fundamental frequency; hidden Markov models; minimum detection method; recognition performance; threshold detection method; tone features; varied time interval; Speech; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on
Conference_Location
Khon Kaen
Print_ISBN
978-1-4577-0425-3
Type
conf
DOI
10.1109/ECTICON.2011.5948001
Filename
5948001
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