Method for calculating telescopic resistance interval of music clip

Abstract

The invention relates to a method for calculating the telescopic resistance interval of a music clip, belonging to the technical field of audio processing. The method comprises the following steps of: firstly, establishing a music telescopic resistance dataset to obtain a telescopic resistance distribution histogram; performing equal-area division to form a telescopic resistance type; extracting multiple audio content characteristics to form a characteristic vector of the music clip; performing generalization processing and solving to obtain a diagonal matrix; distinguishing the differing degree of the music clip by use of the music style; and with K neighbor judgment, calculating the telescopic resistance interval of the clip to be processed. The method provided by the invention puts forward a quantitative expression method for the music telescopic resistance for the first time, and calculates the music telescopic resistance interval by mainly focusing on the characteristics of the audio content and taking the music style as subsidiary as well as combining the machine learning strategy; and the method has relatively high accuracy, is easy to operate, and can be directly applied to the parameter estimation in a music reconstruction algorithm and the study on the characteristics of human perception of the music clip in music psychology and speech perception.

Description

technical field [0001] The invention relates to a method for calculating stretch resistance intervals of music fragments, and belongs to the technical field of audio processing. Background technique [0002] With the integration of the Internet into thousands of households and all walks of life in the 21st century, and the rapid growth and development of the digital music industry, the demand for people to obtain music, enjoy music, and even create music through the Internet is also increasing. Music reconstruction is a technology that allows users to extend or shorten a music clip to a specified length of time, which enhances the flexibility of using music in different scenarios, such as making background music for movies of different durations. However, the current music reconstruction technology (including invention patents with application numbers 201010570241.1 and 201010570222.9) only cares about how to perform reconstruction, but not about the limitation of the scale ...

AI Technical Summary

Problems solved by technology

This feature represents the scalable scale range of music fragments, and is an important link between the structure of music itself and people's perception of music. It has important reference value in research fields such as music reconstruction, music psychology, and speech perception. At present, there are few research results directly related to

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