A data processing method and device

Abstract

The embodiment of the present invention discloses a data processing method and device, wherein the method includes: acquiring the audio set of the target song in the song database, the audio set including a plurality of audio data; calculating the difference between every two audio data in the audio set distance between, and add the distance between any one of the audio data and each audio data in the audio collection to obtain the sum of the distances of the audio data; obtain the sum of distances in the audio collection as small To the target audio data of the first N positions after the big sorting, the N is a positive integer; according to the distance between every two audio data in the target audio data, calculate the data divergence of the target song; according to the calculation The obtained data divergence of the target song is used to determine the difficulty coefficient of the target song. By adopting the embodiment of the present invention, the degree of difficulty of the song can be determined efficiently, and the intelligentization and automation of determining the degree of difficulty of the song can be realized.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data processing method and device. Background technique [0002] There are many styles and categories of songs. Due to the difference in melody or the characteristics of the singer's voice, the difficulty of singing different songs is also different. The national karaoke system provides songs for users to sing and also provides a scoring system. However, due to the different difficulties of different songs, in order to achieve horizontal comparison of different songs, it is necessary to mark the difficulty coefficient for each song so that users can choose to sing according to category and achieve different singing. Horizontal level comparison can be performed while singing. In the prior art, the difficulty coefficient of songs is manually marked. However, this method is not only costly and time-sensitive, but also produces difficulty coefficients given by diff...

AI Technical Summary

Problems solved by technology

In the prior art, the difficulty coefficient of songs is manually marked. However, this method is not only costly and time-sensitive, but also produces difficulty coefficients given by different people for the same song due to different artificial subjective judgment standards. inconsistencies

For the above problems, no effective solution has been proposed

Images