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Performance Improvement of Speech Enhancement Using Independent Component Analysis and Perceptual Filtering  

Koo, Kyo-Sik (숭실대학교 전자공학과)
Cha, Hyung-Tai (숭실대학교 전자공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.29, no.4, 2010 , pp. 270-277 More about this Journal
Abstract
In this paper, we proposed an algorithm that improves tone quality of noisy audio signals by using ICA(Independent Component Analysis) algorithm and perceptual filters. Many algorithms have been proposed to eliminate the noise from the audio signals, such as spectral subtraction method, perceptual filter, etc. The perceptual filter uses a noise that is acquired from silent ranges in the input signal. In this case, the improvement rate of tone quality decreases if the noise energy is changed by the environmental variation in a signal frame. But the proposed method estimates a noise that is changed at each frame using ICA algorithm. The estimated noise is applied to perceptual filter. To show the performance of the proposed algorithm, several tests are performed to various input signals. With the proposed algorithm, we could confirm the enhancement of tone quality in terms of segmental SNR (SSNR), noise-to-mask ratio (NMR) and Degradation Category Rating (DCR) test.
Keywords
Noise Cancellation; Perceptual Filter; Psychoacoustics Theory; Independent Component Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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