Modified Mel Filter Bank to Compute MFCC of Subsampled Speech
Computation and Language
2014-10-29 v1 Sound
Abstract
Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used speech features in most speech and speaker recognition applications. In this work, we propose a modified Mel filter bank to extract MFCCs from subsampled speech. We also propose a stronger metric which effectively captures the correlation between MFCCs of original speech and MFCC of resampled speech. It is found that the proposed method of filter bank construction performs distinguishably well and gives recognition performance on resampled speech close to recognition accuracies on original speech.
Keywords
Cite
@article{arxiv.1410.7382,
title = {Modified Mel Filter Bank to Compute MFCC of Subsampled Speech},
author = {Kiran Kumar Bhuvanagiri and Sunil Kumar Kopparapu},
journal= {arXiv preprint arXiv:1410.7382},
year = {2014}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1410.6903