MFCC and SVM based recognition of Chinese vowels

Fuhai Li; Jinwen Ma; Dezhi Huang

doi:10.1007/11596981_118

MFCC and SVM based recognition of Chinese vowels

Fuhai Li, Jinwen Ma, Dezhi Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Scopus citations

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.

Original language	English (US)
Title of host publication	Computational Intelligence and Security - International Conference, CIS 2005, Proceedings
Pages	812-819
Number of pages	8
DOIs	https://doi.org/10.1007/11596981_118
State	Published - Dec 1 2005
Event	International Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China Duration: Dec 15 2005 → Dec 19 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3802 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Conference on Computational Intelligence and Security, CIS 2005
Country/Territory	China
City	Xi'an
Period	12/15/05 → 12/19/05

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11596981_118

Cite this

Li, F., Ma, J., & Huang, D. (2005). MFCC and SVM based recognition of Chinese vowels. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (pp. 812-819). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3802 LNAI). https://doi.org/10.1007/11596981_118

MFCC and SVM based recognition of Chinese vowels. / Li, Fuhai; Ma, Jinwen; Huang, Dezhi.
Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. p. 812-819 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3802 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, F, Ma, J & Huang, D 2005, MFCC and SVM based recognition of Chinese vowels. in Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3802 LNAI, pp. 812-819, International Conference on Computational Intelligence and Security, CIS 2005, Xi'an, China, 12/15/05. https://doi.org/10.1007/11596981_118

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AB - 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.

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MFCC and SVM based recognition of Chinese vowels

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