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Music separation method and device and computer readable storage medium

A technology of separation method and separation device, which is applied in speech analysis, neural learning method, biological neural network model, etc., can solve the problems of manpower and time consumption, and achieve the effect of less human resource consumption, accurate separation, and easy learning and creation

Pending Publication Date: 2019-06-07
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, ordinary deep learning-based image recognition or sound separation methods usually require a lot of human supervision such as classifying and labeling pictures or audio
Usually this kind of manual supervision not only needs a lot of manpower and time, but also requires solid professional knowledge support

Method used

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  • Music separation method and device and computer readable storage medium
  • Music separation method and device and computer readable storage medium
  • Music separation method and device and computer readable storage medium

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Embodiment Construction

[0038] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] The invention provides a music separation method. refer to figure 1 As shown, it is a schematic flowchart of a music separation method provided by an embodiment of the present invention. The method may be performed by a device, and the device may be implemented by software and / or hardware.

[0040] In this embodiment, the music separation method includes:

[0041] S10. Acquire initial sample data, where the initial sample data includes initial sample data of multiple musical instruments, wherein the initial sample data of one musical instrument includes the initial sample sound of the musical instrument and the initial sample image of the musical instrument.

[0042] Optionally, said acquiring initial sample data includes:

[0043] Collect the audio and video data of the performance of the instrument;

[0...

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Abstract

The invention relates to the technical field of phonetics and semantics, and discloses a music separation method. The music separation method comprises the steps that initial sample data is acquired,the initial sample data comprises initial sample data of various musical instruments, and the initial sample data of one of the musical instruments comprises initial sample voice of the musical instrument and initial sample frames of the musical instrument; the initial sample data of the different musical instruments are selected from the initial sample data and mixed to generate mixed audio dataas training data, and based on the training data, training is carried out to obtain a separation musical instrument acoustic model; then input to-be-separated mixed audios and videos are acquired, thetrained separation musical instrument acoustic model is utilized, and voice of the same musical instruments and images corresponding to the voice of the same musical instruments are separated out from the to-be-separated mixed audios and videos. The invention further provides a music separation device and a computer readable storage medium. The music separation method and device and the computerreadable storage medium have the advantages that convenience can be provided for adjusting the videos and audios for musicians, the separation is accurate, and the consumption of manpower resources isless.

Description

technical field [0001] The invention relates to the technical field of speech semantics, in particular to a music separation method, device and computer-readable storage medium. Background technique [0002] In people's daily life, rich visual and auditory resources are produced every day. The human visual and auditory systems can distinguish different things in a timely and effective manner, recognize objects seen, and distinguish sounds from objects in a complex environment. For example, when watching a video of an instrument being played, musicians can often accurately identify the sounds produced by different instruments. But if a musician wants to adjust the volume of an instrument in a video, they must separate the sounds of the different instruments from the audio. Deep learning technology is considered to be able to effectively learn the deep connections between complex things. However, ordinary deep learning-based image recognition or sound separation methods usu...

Claims

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Application Information

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IPC IPC(8): G10L21/0272G10L25/57G06N3/04G06N3/08
Inventor 朱清影程宁王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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