Music rhythm analysis method based on big data

An analysis method and big data technology, applied in the computer field, can solve problems such as low efficiency in music creation or music collocation, unsatisfactory music effects, mistakes in music creation or music collocation, etc., so as to reduce music collocation mistakes, reduce mistakes, and facilitate The effect of the analysis

Active Publication Date: 2019-02-01
HUNAN CITY UNIV
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AI Technical Summary

Problems solved by technology

However, in the process of music creation or music collocation, music data is generally judged subjectively by people, and mistakes in music creatio

Method used

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  • Music rhythm analysis method based on big data

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Experimental program
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Embodiment

[0029] Embodiment: the music rhythm analysis method based on big data, as figure 1 shown, including the following steps:

[0030] Step 1: Obtain the music data to be analyzed, and divide the music data to be analyzed into multiple music segments according to the preset length value.

[0031] Step 2, extract rhythm features in the music segment.

[0032] Step 3, according to the rhythm feature, the reference music data having the corresponding rhythm feature is retrieved.

[0033] Step 4: Perform emotional expression analysis on the reference music data, and obtain emotion data corresponding to the reference music data.

[0034] Step five, perform emotion classification processing on all reference music data according to the emotion data, and classify the reference music data with the same emotion data into the same emotion category.

[0035] Step six, sort all the emotion categories according to the quantity of the reference music data in the emotion category.

[0036] Ste...

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Abstract

The invention discloses a music rhythm analysis method based on big data, which relates to the computer technical field. The method comprises followings teps of acquiring to-be-analyzed music data; Extracting rhythmic features from music segments; Retrieving reference music data having corresponding rhythm characteristics according to the rhythm characteristics; Emotional expression analysis of reference music data; Performing emotion classification processing on all reference music data according to the emotion data; Sorting all emotion categories according to the number of reference music data in the emotion categories; According to the preset range value, intercepting the corresponding affective categories in all sorted affective categories; Calculating the emotion application frequencyof the intercepted emotion category and the rhythm application frequency of the corresponding emotion category; The output after sorting out the chart can reduce the occurrence of music creation or music collocation errors, improve the work efficiency of music creation or music collocation, and enhance the music effect.

Description

technical field [0001] The present invention relates to the field of computer technology, more specifically, it relates to a music rhythm analysis method based on big data. Background technique [0002] Music is an art that reflects the emotions of human beings in real life. Music is pleasing to the eye and brings auditory enjoyment to everyone. Music can improve people's aesthetic ability, purify people's hearts, and establish lofty ideals. We express our emotions through music, which releases many of our emotions. [0003] Now retrieve the Chinese patent with the announcement number CN107610716A and the announcement date of January 19, 2018. The solution provides a music analysis method, including: segmenting the audio data to obtain multiple sets of audio data; multiple sets of audio data Fast Fourier transform is performed on each group of audio data in to obtain spectrum data; peak detection, rhythm point detection, loudness detection, energy analysis and timbre analy...

Claims

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Application Information

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IPC IPC(8): G06F16/60G06F16/65G10L25/63
CPCG10L25/63
Inventor 郭冰涛
Owner HUNAN CITY UNIV
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