Open Access

Using Mel-Frequency Cepstral Coefficients in Missing Data Technique

EURASIP Journal on Advances in Signal Processing20042004:652167

https://doi.org/10.1155/S1110865704309030

Received: 19 February 2003

Published: 21 March 2004

Abstract

Filter bank is the most common feature being employed in the research of the marginalisation approaches for robust speech recognition due to its simplicity in detecting the unreliable data in the frequency domain. In this paper, we propose a hybrid approach based on the marginalisation and the soft decision techniques that make use of the Mel-frequency cepstral coefficients (MFCCs) instead of filter bank coefficients. A new technique for estimating the reliability of each cepstral component is also presented. Experimental results show the effectiveness of the proposed approaches.

Keywords and phrases

MFCC missing data techniques robust speech recognition

Authors’ Affiliations

(1)
Department of Computer Science, City University of Hong Kong
(2)
School of Electronic and Communication Engineering, South China University of Technology

Copyright

© Jun et al. 2004