Effect of the Number of Codebook and MFCC on Chinese Isolated Words Recognition

DOI

10.2991/icmt-13.2013.206How to use a DOI?

Keywords

Isolated Words Recognition, Feature Extraction, MFCC Differential, Codebook Number Adaptive

Abstract

This paper aims to design and optimize the algorithm of Chinese isolated words speech recognition, to improve the recognition accuracy and robustness. Mel-Frequency Cepstral Coefficient (MFCC) has been widely used in the art-of-state speech recognition since it considers the characteristics of human voice and sounds receiving, and has better robustness for the recognition accuracy. The MFCCs of different speech frame are relevant, and each Chinese isolated word has its own optimal number of codebook. In this paper, we use the first-order differential and second-order differential of MFCC to improve the recognition accuracy and robustness, and the results show that the difference between the first recognition probability and the second recognition probability increases. By establishing an optimal codebook for each isolated word, and using codebook adaptive algorithm, the robustness of recognition is also improved greatly.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - De Liu
AU  - Mingjiang Wang
AU  - Zejun Wu
PY  - 2013/11
DA  - 2013/11
TI  - Effect of the Number of Codebook and MFCC on Chinese Isolated Words Recognition
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1693
EP  - 1702
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.206
DO  - 10.2991/icmt-13.2013.206
ID  - Liu2013/11
ER  -