A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection

作者：Singh Sachin^*; Tripathy Manoj; Anand R S

来源：Wireless Personal Communications, 2017, 95(4): 4441-4456.

DOI：10.1007/s11277-017-4094-6

• Speech enhancement
• Wavelet packet
• Subjective and objective parameters

In this paper, a wavelet packet based speech enhancement system is proposed for noise reduction. In the proposed method, a modulation channel selection is used as a thresholding function for de-noising. Three levels 8 sub-band wavelet packet decomposition is used and all sub-bands are given to threshold function for noise suppression. This novel modulation channel selection is based on calculation of true signal-to-noise ratio (SNR) by thresholding with local SNR of -7 dB. The presented method is used for noise suppression in single-channel speech patterns. Objective and subjective parameters are used for performance evaluation of this method. The performance of the proposed method is also compared with spectral subtraction, mband, mmse, test-psc, idbm, klt, and pklt. The proposed method give maximum intelligibility and quality in compared to other given methods. MATLAB 7.14 is used for simulation.

• 出版日期2017-8