A method for evaluating the purity of accompaniment and related equipment

Abstract

The embodiment of the present invention discloses an accompaniment purity evaluation method and related equipment, wherein the method includes: acquiring a plurality of first accompaniment data and tags corresponding to each first accompaniment data; the tags corresponding to each first accompaniment data are used to indicate the corresponding The first accompaniment data is pure instrumental accompaniment data or instrumental accompaniment data with background noise; extract the audio features of each first accompaniment data; perform model training according to the audio features of each first accompaniment data and the labels corresponding to each first accompaniment data , to obtain a neural network model for evaluating the purity of the accompaniment; the model parameters of the neural network model are determined by the audio features of each first accompaniment data and the association relationship between the labels corresponding to each first accompaniment data. By implementing the embodiments of the present invention, it is possible to efficiently and accurately distinguish the accompaniment from the silenced accompaniment from the original accompaniment.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for evaluating the purity of accompaniment and related equipment. Background technique [0002] With the improvement of living standards and technological levels, people have been able to realize the purpose of singing whenever and wherever they want through mobile terminals (such as mobile phones). This requires the accompaniment to provide users with singing support. If the accompaniment of the sung song is the original accompaniment, its purity is high and gives people a beautiful experience; while if the accompaniment of the sung song is the accompaniment of the silencer, its purity is low and contains more Too much background noise will greatly degrade the user experience. [0003] The reasons for these muted accompaniments are: on the one hand, many old songs do not have corresponding original accompaniments because of their long release years, or it is difficul...

AI Technical Summary

Problems solved by technology

This requires the accompaniment to provide users with singing support. If the accompaniment of the sung song is the original accompaniment, its purity is high and gives people a beautiful experience; while if the accompaniment of the sung song is the accompaniment of the silencer, its purity is low and contains more Too much background noise will greatly degrade the user experience

[0003] The reasons for these muted accompaniments are: on the one hand, many old songs do not have corresponding original accompaniments because of their long release years, or it is difficult to obtain corresponding original accompaniments for newer songs; Continuous development has enabled people to process some original songs through audio technology to obtain accompaniment, but the accompaniment obtained through audio technology processing still has more background noise, making the subjective sense of hearing worse than the original accompaniment

[0004] At present, a large number of accompaniments have appeared on the Internet, and music content providers mainly rely on manual marking to distinguish accompaniments, which has low efficiency and accuracy and consumes a lot of labor costs.

How to efficiently and accurately distinguish the accompaniment from the original accompaniment is still a severe technical challenge

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