Tone Recognition of Continuous Mandarin Speech Based on Binary-Class SVMs
- Resource Type
- Conference
- Authors
- Wang, Shui-ping; Tang, Zhen-ming; Zhao, Ying-nan; Ji, Sai
- Source
- 2009 First International Conference on Information Science and Engineering Information Science and Engineering (ICISE), 2009 1st International Conference on. :710-713 Dec, 2009
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Speech recognition
Support vector machines
Natural languages
Support vector machine classification
Wavelet transforms
Frequency
Speech processing
Signal processing
Information science
Computer science
- Language
- ISSN
- 2160-1283
2160-1291
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.