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As speech enhancement for impact noise, it is important to detect the impact noise activity. However, since the impact noise suddenly occurs by hitting an object, a snap and clapping, the impact noise activity cannot be detected easy. Therefore, this paper proposes the impact noise activity detector based on 4th order cumulant. The continuous duration of impact noise is shorter than the one of speech...
Speech enhancement has been proposed to reduce noise in noisy speech. However, it is difficult to reduce the transient noise with a narrow band component which is associated with a natural oscillation of the object. In order to solve the problem, we have proposed the speech enhancement based on a linear predictor with 4th order cumulant adaptive algorithm. However, the divergence of the proposed adaptive...
In this paper, a speech enhancement method to reduce background noise in noisy speech is proposed. We have investigated the noise reconstruction system (NRS) based on linear prediction and system identification. First, a liner prediction error filter (LPEF) estimates the white noise which is a noise source. Next, a noise reconstruction filter (NRF) estimates the background noise from the estimated...
Although a speech enhancement has been proposed, it is difficult to reduce the impulsive noise whose power changes fast. In this paper the speech enhancement based on a linear predictor with 4th order cumulant adaptive algorithm is proposed to reduce the impulsive noise which is suddenly generated by hitting an object. The proposed method takes advantages of the high kurtosis of the impulsive noise...
A noise reduction system based on an adaptive line enhancer (ALE) and a noise estimation filter (NEF) has been proposed to reduce both wideband and sinusoidal noise in noisy speech. However, since the noise reduction system uses several adaptive filters, an increase in computation load is unavoidable. Then, the noise reduction system with less computation load has been also proposed. However, it needs...
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