Tone is an essential component for word formation in Chinese languages．It plays a very important role in the transmission of information in speech communication．We looked at using support vector machines(SVMs)for auto— matic tone recognition in continuously spoken Mandarin．The voiced segments were detected based on Teager Energy Operation and ZCIL Compared with BP neural network。considerable improvement was achieved by adopting 6 binary- SVMs scheme in a speaker-independent Mandarin tone recognition system．

支持向量机的汉语连续语音声调识别方法.pdf

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