Speech enhancement method based on gated cycle encoding and decoding network

A speech enhancement, cyclic neural network technology, applied in the field of speech enhancement based on gated cyclic codec network, can solve problems such as ignoring connections

Inactive Publication Date: 2020-03-06
BEIJING INST OF COMP TECH & APPL
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Problems solved by technology

[0004] However, the current speech enhancement methods based on deep learning usually only use the context info

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  • Speech enhancement method based on gated cycle encoding and decoding network
  • Speech enhancement method based on gated cycle encoding and decoding network
  • Speech enhancement method based on gated cycle encoding and decoding network

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[0036] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be described in further detail below in conjunction with the accompanying drawings and examples.

[0037] The current speech enhancement methods based on deep learning usually only use context information, but ignore the connection between context information and the current speech frame to be enhanced. According to the process of human auditory perception, the link between contextual information and the current speech frame to be enhanced is crucial to the speech enhancement task. Therefore, the present invention proposes a speech enhancement method based on a gated recurrent neural network, which mines the connection between the context information and the current speech frame to be enhanced, so as to improve the speech enhancement performance.

[0038] The present invention proposes a speech enhancement method based...

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Abstract

The invention relates to a speech enhancement method based on a gated cycle encoding and decoding network, and relates to the technical field of speech enhancement. According to the method, the speechenhancement method based on the gated cycle encoding and decoding network is proposed based on the research of the process of human auditory perception aiming at the problem that the conventional speech enhancement method does not employ the connection between context information and a current to-be-enhanced speech frame. In a speech enhancement task, an encoding and decoding architecture is introduced, modeling of multiple adjacent frames of speech signals is performed by employing an encoder to extract the context information, mining of the connection between the current to-be-enhanced speech frame and the context information is performed by employing a decoder, and the speech enhancement performance is improved.

Description

technical field [0001] The invention relates to the technical field of speech enhancement, in particular to a speech enhancement method based on a gated loop codec network. Background technique [0002] Speech enhancement technology, as a basic link in the signal processing process, has broad application prospects in many fields such as speech recognition, mobile communication and artificial hearing. Its main purpose is to improve the quality and intelligibility of noise-contaminated speech. Recently, with the rise of deep learning technology, supervised speech enhancement methods based on Deep Neural Network (DNN) have achieved great success, especially in the case of low SNR and non-stationary noise, compared with Compared with the traditional method, it shows a stronger advantage. [0003] From the perspective of supervised learning, the speech enhancement method based on deep learning mainly includes three parts: features, network model and optimization objective. Amp...

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Application Information

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IPC IPC(8): G10L21/0208G10L21/02G10L25/30G10L25/03
CPCG10L21/02G10L21/0208G10L25/03G10L25/30
Inventor 常新旭袁晓光寇金桥张杨杨林吴敏王昕徐冬冬赵晓燕闫帅
Owner BEIJING INST OF COMP TECH & APPL
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