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Audio Enhancement Algorithm Using Adaptive Perceptual Filter  

엄혜영 (숭실대학교 전자공학과)
한헌수 (숭실대학교 전자공학과)
홍민철 (숭실대학교 전자공학과)
차형태 (숭실대학교 전자공학과)
Abstract
In this paper, a new adaptive audio signal enhancement algorithm is proposed. In order to remove a broadband noise from a noisy signal, a filter is designed and applied adaptively to noisy audio signal. The noisy signal is first transformed to frequency domain and divided into bark domain to calculate excitation energy. A filter will be calculated to eliminate the noise by using the excitation energy and noisy energy which is obtained from a silent area. The filter is adaptively adjusted and continuously applied until the threshold point is met. The algorithm also works well even though the noise's energy change all of a sudden. SNR, NMR comparison and MOS Test are performed to show the effectiveness of the proposed algorithm.
Keywords
Perceptual filter; Audio enhancement; Adaptive signal processing; Bark domain processing;
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