Optimum Cascaded Design for Speech Enhancement Using Kalman Filter

Authors: T. Kishore Kumar

Abstract:

Speech enhancement is the process of eliminating noise and increasing the quality of a speech signal, which is contaminated with other kinds of distortions. This paper is on developing an optimum cascaded system for speech enhancement. This aim is attained without diminishing any relevant speech information and without much computational and time complexity. LMS algorithm, Spectral Subtraction and Kalman filter have been deployed as the main de-noising algorithms in this work. Since these algorithms suffer from respective shortcomings, this work has been undertaken to design cascaded systems in different combinations and the evaluation of such cascades by qualitative (listening) and quantitative (SNR) tests.

Keywords: LMS, Kalman filter, Speech Enhancement and Spectral Subtraction.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084790

References:

[1] K. Paliwal and A. Basu, A Speech Enhancement Method Based on Kalman Filtering, proceedings of IEEE Int.Conf. Acoust. Speech, 1987.
[2] P. Pollak and P. Sovka, Spectral Subtraction and Speech/Pause Detection, internal report R95-1, ˇCVUT, Praha, 1995.
[3] V. Sharma et al., Adaptive Speech Enhancement Using a Sub-band Based Kalman Filter, research paper.
[4] Udar Mittal, Nam Phamdo, "Signal/ Noise KLT Based Approach for Enhancing Speech Degraded by Colored Noise", IEEE Trans. on Speech and Audio Processing, Vol.8, No.2, March 2000, pp.159- 167.
[5] H. G. Hirsch, C. Ehrlicher, "Noise Estimation Techniques for Robust Speech Recognition", Proceedings of ICASSP-95, pp.153-156, 1995.
[6] P.Satyanarayana, "Short Segment Analysis of Speech for Enhancement", Ph.D. Thesis - February 1999, Department of Electrical Engineering, IIT Madras.
[7] Steven F. Boll, A Spectral Subtraction Algorithm for Suppression of Acoustic Noise in Speech, Computer Science Department University of Utah Salt Lake City, Utah 84112.
[8] Chi-Chou Kao, Design of Echo Cancellation and Noise Elimination for Speech Enhancement, IEEE transactions, Vol. 49, No. 4, November 2003, Information Technology Department, National Pingtung Institute of Commerce, 900, Taiwan (e-mail: [email protected]).
[9] Bc. Jan Kybic, Kalman Filtering and Speech Enhancement, http://cmp.felk.cvut.cz/˜kybic/dipl
[10] Wan and A. Nelson, Neural Dual Extended Kalman Filtering: Applications in Speech Enhancement and Monaural Blind Signal Separation, IEEE Workshop and Neural Networks and Signal Processing, 1997.
[11] Acoustic Noise Suppression for Speech Signals using Auditory Masking Effects, Joachim Thiemann, Department of Electrical & Computer Engineering McGill University Montreal, Canada..