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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2017

21.03.2017

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

verfasst von: Sachin Singh, Manoj Tripathy, R. S. Anand

Erschienen in: Wireless Personal Communications | Ausgabe 4/2017

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Abstract

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.
Vorheriger Artikel Novel Detection Scheme for LSAS Using Power Allocation in Multi User Scenario with LTE-A and MMB Channels
Nächster Artikel Audio-Speech Watermarking Using a Channel Equalizer

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Metadaten
Titel
A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection
verfasst von
Sachin Singh
Manoj Tripathy
R. S. Anand
Publikationsdatum
21.03.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4094-6

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