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We have investigated a noise reconstruction system (NRS) with an adaptive line enhancer (ALE) as a noise reduction system. The NRS uses a linear prediction error filter (LPEF) and a noise reconstruction filter (NRF). The NRS assumes that the background noise is generated by exciting a linear system with a white noise. First, the white signal is estimated by the ALE and the LPEF. Next, the background...
In this paper, we propose the noise estimation method based on system identification with an equation error infinite impulse response (IIR) adaptive digital filter (ADF). We have investigated the speech enhancement based on a linear prediction error filter (LPEF) and a system identification model. However, the conventional system estimates the background noise by a finite impulse response (FIR) filter,...
A speech enhancement system based on an adaptive line enhancer (ALE) and a noise estimation filter (NEF) has been proposed to reduce both wideband and periodic noise in noisy speech. However, it is inevitable to use a small step size which enables us to update tap coefficients of the NEF without estimating a speech signal. When a fixed step size is used, it is difficult for the speech enhancement...
In the present paper, a new single-channel speech enhancement system is proposed. The proposed system is based on frequency domain adaptive line enhancer; therefore, it is advantageous to non-stationary environments. Also, frequency domain decorrelation parameters are introduced and then adjusted independently. The performance of the proposed system is examined through computer simulations. The effectiveness...
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