Title :
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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.1313
