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2005
Springer

MFCC and SVM Based Recognition of Chinese Vowels

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MFCC and SVM Based Recognition of Chinese Vowels
Abstract. The recognition of vowels in Chinese speech is very important for Chinese speech recognition and understanding. However, it is rather difficult and there has been no efficient method to solve it yet. In this paper, we propose a new approach to the recognition of Chinese vowels via the support vector machine (SVM) with the Mel-Frequency Cepstral Coefficients (MFCCs) as the vowel’s features. It is shown by the experiments that this method can reach a high recognition accuracy on the given vowels database and outperform the SVM with the Linear Prediction Coding Cepstral (LPCC) coefficients as the vowel’s features.
Fuhai Li, Jinwen Ma, Dezhi Huang
Added 29 Jun 2010
Updated 29 Jun 2010
Type Conference
Year 2005
Where CIS
Authors Fuhai Li, Jinwen Ma, Dezhi Huang
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