Music beat detection method and system

Abstract

The invention provides a music beat detection method and system, and the method comprises the steps: carrying out the left and right channel addition of a dual-channel audio after music is received, obtaining a music PCM type data sequence, carrying out the grouping addition of the data sequence, solving an average value for simplification, and obtaining a simplified audio signal; carrying out autocorrelation function calculation on the simplified audio signal, and then carrying out wave crest detection to obtain all wave crests; carrying out envelope extraction on the simplified audio signalto obtain an audio envelope signal, carrying out first-order difference processing, half-wave rectification processing and weighted compensation processing on the audio envelope signal to obtain an audio peak signal, and detecting and outputting all beat points by utilizing a dynamic threshold wave crest; and utilizing all the wave crests and all the beat points to obtain an optimal beat path through multi-path search, and recording an audio rhythm and beat points corresponding to the optimal beat path. The problems of music rhythm detection and specific rhythm point accurate positioning are solved, and the rhythm value is estimated by searching for a possible rhythm value and an autocorrelation function convenient to implement.

Description

technical field [0001] The present invention relates to the technical field of audio data processing, in particular to a music beat detection method and system. Background technique [0002] The music rhythm detection of a piece of music is very important to music understanding and visualization. How to detect and reasonably identify the exact position of the music beat through the music rhythm, so that anyone can beat along with a piece of music. With the rapid development of computer and multimedia technology, there are many researches on intelligent rhythm detection and rhythm tracking. Bayesian-based sequential Monte Carlo methods for inferring bar and beat positions of musical fragments. Or the music rhythm extraction method based on the internal and external probability algorithm, analyze the music elements, define a probability context-free grammar system to describe the relatively independent music rhythm elements, in order to convert the music rhythm into a formal ...

AI Technical Summary

Problems solved by technology

The above studies are based on complex probability and related theories to deduce and calculate the rhythm value in music fragments, all of which have the disadvantages of high computational complexity and low accuracy.

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