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http://dx.doi.org/10.6109/jkiice.2016.20.10.1867

Speech Spectrum Enhancement Combined with Frequency-weighted Spectrum Shaping Filter and Wiener Filter  

Choi, Jae-Seung (Department of Electronic Engineering, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.10, 2016 , pp. 1867-1872 More about this Journal
Abstract
In the area of digital signal processing, it is necessary to improve the quality of the speech signal after removing the background noise which exists in a various real environments. The important thing to consider when removing the background noise acoustically is that to solve the problem, depending on the information of the human auditory mechanism is mainly the amplitude spectrum of the speech signal. This paper introduces the characteristics of a frequency-weighted spectrum shaping filter for the extraction of the amplitude spectrum of the speech signal with the primary purpose. Therefore, this paper proposes an algorithm using the methods of a Wiener filter and the frequency-weighted spectrum shaping filter according to the acoustic model, after extracted the amplitude spectral information in the noisy speech signal. The spectral distortion (SD) output of the proposed algorithm is experimentally improved more than 5.28 dB compared to a conventional method.
Keywords
Signal processing; noise; amplitude spectrum; frequency-weighted spectrum shaping filter; Wiener filter;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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