Audio noise reduction and audio noise reduction model processing method, device, equipment and medium

Abstract

The invention relates to an audio noise reduction and audio noise reduction model processing method, device, equipment and medium. The method relates to the artificial intelligence technology, and the audio noise reduction model processing method comprises the steps: carrying out the feature coding of a real part sequence and an imaginary part sequence obtained after a sample audio signal is converted into a frequency domain signal through a real part processing network and an imaginary part processing network in a first sub-model based on a neural network, obtaining real part attention and imaginary part attention corresponding to the sample audio signal, and obtaining frequency domain coding features corresponding to the sample audio signal based on the real part sequence and the imaginary part sequence as well as the real part attention and the imaginary part attention; performing model training on the first sub-model according to a first loss determined based on a frequency domain coding feature and a frequency domain transformation sequence corresponding to the clean audio signal to obtain a frequency domain processing sub-model; and connecting and then jointly training the frequency domain processing sub-model and the time domain processing sub-model to obtain the audio noise reduction model, so that the noise reduction effect of the audio noise reduction model can be improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an audio noise reduction method, device, computer equipment and storage medium, and also relates to a processing method, device, computer equipment and storage medium of an audio noise reduction model. Background technique [0002] As we all know, audio signals are generally mixed with different degrees of noise. For example, a user may be in various scenes during an audio call, and noisy background noise will interfere with the audio call. In order to obtain better audio quality, noise reduction processing is usually performed on the original audio signal. Traditional audio noise reduction methods such as: adaptive filter, spectral subtraction, and Wiener filtering method and so on. [0003] With the popularity of deep learning in the field of artificial intelligence technology, the use of deep learning models based on neural networks to denoise audio s...

AI Technical Summary

Problems solved by technology

However, some existing audio noise reduction models do not maximize the use of the frequency

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