The Compression Algorithm of the S-Transform and Its Application in MFCC

Zihao Cui, Limei Xu, Min Chen, Jianwen Cui, Yuzhuo Ren

2016

Abstract

The S-Transform which is used in many fields, is better in the methods of time-frequency analysis. Although the S-Transform improves the time-frequency analysis, it also increases the algorithm complexity, resulting in rapidly increasing the computing time and needing more memory. Therefore, the S-Transform is difficult to be applied for real-time procession of signal. Based on the characteristics that human being is insensitive to the voice frequency resolution, in this paper, we propose a compressing algorithm of the S-transform. Through re-sampling frequency, the algorithm decreases data size, the computing time and computer memory usage in the S-transform. The application of the algorithm in MFCC analysis shows the results is reliable under the condition of re-sampling frequency resolution .

Paper Citation

in Harvard Style

Cui Z., Xu L., Chen M., Cui J. and Ren Y. (2016). The Compression Algorithm of the S-Transform and Its Application in MFCC . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 539-544. DOI: 10.5220/0005990505390544

in Bibtex Style

@conference{icinco16,
author={Zihao Cui and Limei Xu and Min Chen and Jianwen Cui and Yuzhuo Ren},
title={The Compression Algorithm of the S-Transform and Its Application in MFCC},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={539-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005990505390544},
isbn={978-989-758-198-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - The Compression Algorithm of the S-Transform and Its Application in MFCC
SN - 978-989-758-198-4
AU - Cui Z.
AU - Xu L.
AU - Chen M.
AU - Cui J.
AU - Ren Y.
PY - 2016
SP - 539
EP - 544
DO - 10.5220/0005990505390544