4th Order Moment-Based Linear Prediction for Estimating Ringing Sound of Impulsive Noise in Speech Enhancement

Abstract

Speech enhancement has been proposed to reduce the impulsive noise whose frequency characteristic is wideband. On the other hand, it is challenging to reduce the ringing sound, which is narrowband in impulsive noise. Therefore, we propose the modeling of the ringing sound and its estimation by a linear predictor (LP). However, it is difficult to estimate the ringing sound only in noisy speech due to the auto-correlation property of speech. The proposed system adopts the 4th order momentbased adaptive algorithm by noticing the difference between the 4th order statistics of speech and impulsive noise. The brief analysis and simulation results show that the proposed system has the potential to reduce ringing sound while keeping the quality of enhanced speech.

Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions

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Folk Music Audio Enhancement Method Combining Internet of Things and GA

“…e music sound enhancement has the function of beautifying the sound color and improving the output sound quality. e principle of the sound enhancement is mainly to carry on the special reprocessing to the left and right sound channel signal, enlarge the sound eld, produce the extremely realistic positioning sound e ect around the listener, and bring the real auditory experience [1]. Literature [2] uses DNN sound source enhancement technology to improve high music sound e ects, but the range of sound source intensity enhancement for folk music instruments is limited, and the realization is di cult.…”