In this paper we study the noise-robustness of mel-frequency cepstral coefficients (MFCCs) and explore ways to improve their performance in noisy conditions. Improvements based on a more accurate model of the early auditory system are suggested to make the MFCC features more robust to noise while preserving their class discrimination ability. Speech versus non-speech classification and speech recognition are chosen to evaluate the performance gains afforded by the modifications.
Cite as: Ravindran, S., Anderson, D.V., Slaney, M. (2006) Improving the noise-robustness of mel-frequency cepstral coefficients for speech processing. Proc. ITRW on Statistical and Perceptual Audio Processing (SAPA 2006), 48-52
@inproceedings{ravindran06_sapa,
author={Sourabh Ravindran and David V. Anderson and Malcolm Slaney},
title={{Improving the noise-robustness of mel-frequency cepstral coefficients for speech processing}},
year=2006,
booktitle={Proc. ITRW on Statistical and Perceptual Audio Processing (SAPA 2006)},
pages={48--52}
}