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 .

References

  1. Abdalla M. I., H. M. Abobakr, T. S. Gaafar, 2013. DWT and MFCCs based Feature Extraction Methods for Isolated Word Recognition. International Journal of Computer Applications, 69(20):21-25.
  2. Assous S., A. Humeau, M. Tartas et al., 2006. S-transform applied to laser doppler flowmetry reactive hyperemia signals. IEEE Transactions on Biomedical Engineering, 53(6):1032-1037.
  3. Brown R. A., M. L. Lauzon, R. A, Frayne, 2010. General description of linear time-frequency transforms and formulation of a fast, invertible transform that samples the continuous S-transform spectrum nonredundantly. Signal Processing IEEE Transactions on, 58(1): 281- 290.
  4. Cheng F., Gao S., 1996. Speech recognition technology and development. Telecommunication Science, 12(10):54- 57. (in Chinese).
  5. Chen Y. H., Yang C. C., Cao Q. F., 2006. Parameter Estimation of Power Quality Disturbances Using Modified Incomplete S-Transform. Progress in Geophsics, 21(4):1180 1185(in Chinese).
  6. Davis, S. B., Mermelstein P., 1980. Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences. In IEEE Transactions on Acoustics, Speech, and Signal Processing, 28(4):357-366.
  7. Johnson. S. G. and M. Frigo, 2007. A modified split-radix FFT with fewer arithmetic operations. IEEE Trans. Signal Processing, 55(1):111-119.
  8. Lin Y., Xu X., Li B., Pang J., 2013. Time-frequency Analysis Based on the S-transform. International Journal of Signal Processing, Image Processing and Pattern Recognition 6(5) :245-254.
  9. Qian K., Wang H., Gao W., 2008. Windowed Fourier transform for fringe pattern analysis: theoretical analysis. Applied Optics, 47(29):5408-5412.
  10. Stockwell R. G., Mansinha L., Lowe R. P., 1996. Localization of the complex spectrum: The S transform. IEEE Trans. on Signal Processing, 44(4):998-1001.
  11. Yi J. L., Peng J. C., Tan H. S., 2009. Detection method of power quality disturbances using incomplete Stransform. High Voltage Engineering, 35(10): 2562- 2567(in Chinese).
  12. Vidakovic, B., P. Müller, 1995. An introduction to wavelets. Computational Science & Engineering IEEE, 2(2):50-61.
  13. Zhang Z., 2013. Application of Fast S-Transform in Power Quality Analysis. Power System Technology, 37(5):1285-1290.(In Chinese).
  14. Liu M., etc. 2000. Based on DWT and perception of voice frequency domain filtering feature parameters. Circuits and Systems, 5(1): 21-25. (in Chinese).
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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