Audio separation method and device, electronic equipment and storage medium

A separation method and audio technology, applied in speech analysis, neural learning methods, biological neural network models, etc., can solve the problem that the sound partner separation technology cannot meet people's requirements and so on.

Active Publication Date: 2019-11-26
广州方硅信息技术有限公司
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AI Technical Summary

Problems solved by technology

However, the sound partner separation technolog...

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  • Audio separation method and device, electronic equipment and storage medium
  • Audio separation method and device, electronic equipment and storage medium
  • Audio separation method and device, electronic equipment and storage medium

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Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0025] Music is a complex audio signal formed by mixing and superimposing musical instrument sounds and singing voices, which includes the accompaniment of various musical instruments and the singing voices of different people. It is difficult for humans to separate the required single information from this complex audio information. Music Separation technology is a basic research of music signal retrieval, and the technology of automatic extraction of single information in music is attracting more and more attention internationally. After music separation technology extracts pure and single information, it can be used in various information retrieval technologies such a...

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Abstract

The invention discloses an audio separation method and device, electronic equipment and a storage medium. The audio separation method comprises the following steps of acquiring mixed audio to be processed; extracting the audio features of the mixed audio; inputting the audio features into a pre-trained audio separation neural network model, wherein the audio separation neural network model comprises a dense module Dense Block structure and a sand clock Hourglass structure, wherein the Dense Block structure and the Hourglass structure are used for outputting accompaniment audio features and human voice audio features corresponding to the mixed audio step by step according to the audio features; obtaining the accompaniment audio features and the human voice audio features corresponding to the mixed audio output by the audio separation neural network model; and based on the accompaniment audio features and the human voice audio features, acquiring accompaniment audio and human voice audiocorresponding to the mixed audio, and taking the accompaniment audio and the human voice audio as a sound mixing separation result of the mixed audio. According to the method, the mixed audio is input into an audio separation neural network model comprising the Dense Block structure and the Hourglass structure, so that pure accompaniment and pure human sounds can be accurately separated, and theaudio separation effect is improved.

Description

technical field [0001] The present application relates to the technical field of audio data processing, and more specifically, to an audio separation method, device, electronic equipment, and storage medium. Background technique [0002] Music is a complex audio signal formed by mixing and superimposing musical instruments and singing voices, which includes the accompaniment of various instruments and the singing voices of different people. With the continuous development of computer signal processing technology and Internet technology, the separation of vocal accompaniment of music (separation of human voice and accompaniment) has been widely used in some fields, for example, music editing, music retrieval (according to the singer's voice characteristics Retrieve music or recommend music), music accompaniment in KTV system, etc. In order to ensure the realization of these application scenarios, it is necessary to obtain a relatively pure accompaniment sound or human voice....

Claims

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Application Information

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IPC IPC(8): G10L21/0272G10L25/03G10L25/30G06N3/04G06N3/08
CPCG10L25/03G10L25/30G10L21/0272G06N3/084G06N3/045
Inventor 黄健源戴长军黄杰雄
Owner 广州方硅信息技术有限公司
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