Single-channel real-time noise reduction method based on convolutional recurrent neural network

Abstract

The invention discloses a single-channel real-time noise reduction method based on the convolutional recurrent neural network, a single-channel real-time noise reduction device based on the convolutional recurrent neural network, an electronic device and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: extracting acoustic features from received single-channel voice signals, carrying out iterative operation on the acoustic features in a pretrained convolutional recurrent neural network model, thus the specific value film of the acoustic features is calculated, carrying out masking on the acoustic features by adopting the specific value film, and synthesizing the acoustic features after masking and the phase positions of the single-channel voice signals, thus obtaining voice signals. For the single-channel real-time noise reduction method based on the convolutional recurrent neural network and the single-channel real-time noisereduction device based on the convolutional recurrent neural network, the parameter number of the neural network can be reduced, the data storage amount and the demand for the system data bandwidth can be reduced, and the real-time property of the single-channel noise reduction is greatly improved while the good noise reduction property is realized.

Description

technical field [0001] The present disclosure relates to the field of computer application technology, and in particular to a convolutional recurrent neural network-based single-channel real-time noise reduction method, device, electronic equipment, and storage medium. Background technique [0002] Speech noise reduction refers to separating the target speech signal from the background noise so as to eliminate or suppress the background noise. Single-channel speech is a speech signal generated only by relying on a single microphone recording. Compared with beamforming-based noise reduction techniques (i.e., spatial filtering through appropriate configuration of microphone arrays), single-channel speech noise reduction can be applied to a wider range of acoustic scenarios. . Single-channel speech noise reduction is not only cost-effective, but also easier to use in practical situations. Additionally, single-channel speech separation can be used to enhance the effects of bea...

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Problems solved by technology

[0004] In order to solve the technical problems of the large number of network parameters and complex models of single-channel speech noise reduction in the related art, the present disclosure provides a single-channel real-time noise reduction method, device and terminal based on convolutional recurrent neural network

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