Tone Recognition of Continuous Mandarin Speech Based on Binary-Class SVMs

Author

Wang, Shui-ping ; Tang, Zhen-ming ; Zhao, Ying-nan ; Ji, Sai

Author_Institution

Dept. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

710

Lastpage

713

Abstract

Tone is an essential component for word formation in all tone languages. It plays a very important role in the transmission of information in speech communication. In this paper, we look at using support vector machines (SVMs) for automatic tone recognition in continuously spoken Mandarin. Wavelet transform and Teager Energy Operation (TEO) are used to detect the voiced segments. Considerable improvement has been achieved by adopting binary-SVMs scheme in a speaker-independent Mandarin tone recognition system.

Keywords

natural language processing; speech recognition; support vector machines; wavelet transforms; Teager energy operation; automatic tone recognition; binary class SVM; continuous Mandarin speech; speaker independent Mandarin tone recognition system; support vector machines; tone languages; voiced segments detection; wavelet transform; word formation; Computer science; Frequency; Information science; Natural languages; Signal processing; Speech processing; Speech recognition; Support vector machine classification; Support vector machines; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2009 1st International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4909-5

Type

conf

DOI

10.1109/ICISE.2009.1313

Filename

5455540