Signal processing method and device, equipment and storage medium

Abstract

The invention provides a signal processing method and device, equipment and a storage medium, and relates to the technical field of digital signal processing, and the method comprises the steps: carrying out the preprocessing of an input signal, and obtaining a transient noise distinguishing signal; wherein the transient noise distinguishing signal comprises transient noise after amplitude enhancement; performing time domain replacement processing on impulse pulse noise of the transient noise distinguishing signal to obtain a first transient noise elimination signal; performing time domain amplitude limiting processing on short-time pulse noise in the first transient noise elimination signal to obtain a second transient noise elimination signal; and performing frequency domain coherence suppression on the second transient noise elimination signal to obtain a target signal. According to the method, the input signal is subjected to preprocessing, replacement and amplitude limiting in the time domain and then is converted to the frequency domain to be further suppressed according to coherence, so that two types of transient noise in the input signal are greatly eliminated, the complexity is low, and the small distortion degree of the target signal is guaranteed.

Description

technical field [0001] The present application relates to the technical field of digital signal processing, and in particular, to a signal processing method, device, device, and storage medium. Background technique [0002] Transient noise in voice and video signals is discontinuous, intermittent, and pulse-like in the time domain, and its noise energy is mainly concentrated in a short time domain interval, while its distribution is very wide in the frequency domain. Because transient noise usually has the characteristics of suddenness and impulsiveness, it can be specifically divided into impulse noise and short-term pulse noise; typical transient noises include table knocking, applause, keyboard keystrokes, Mouse button sounds, hammer hitting sounds, etc., they often appear in voice communication terminal equipment such as hearing aids, mobile phones, and video conferencing equipment. [0003] The presence of transient noise seriously affects audio quality. At present, n...

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Problems solved by technology

[0003] The presence of transient noise seriously affects audio quality

At present, noise suppression algorithms such as spectral subtraction, Wiener filtering, and adaptive filtering mostly only suppress steady-state noise. Since most transient noises completely overlap with the original signal in the frequency domain, these algorithms are less effective in suppressing transient noises; At the same time, some existing transient noise suppression methods include median filtering, Bayesian framework and other noise suppression algorithms, which also have many defects. Good, but high computational complexity

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