Method for detecting intermediate frequency rhythm point of audio, and devicethereof, equipment and storage medium

Abstract

The invention discloses a method for detecting an intermediate frequency rhythm point of an audio, a device thereof and equipment, and a storage medium, and belongs to the technical field of audio processing. The method comprises the following steps: determining a beat type, music sections and rhythm points of the audio; determining a first target time range corresponding to the intermediate frequency rhythm point in each music section based on the beat type of the audio; for each music section, if a rhythm point meeting an intermediate frequency energy characteristic condition is detected ina first target time range of the music section, determining that the music section is the music section; and if the rhythm point satisfying the low-frequency energy characteristic condition is detected in a second target time range including the starting time point of the music section, determining the rhythm point satisfying the intermediate-frequency energy characteristic condition as the intermediate-frequency rhythm point of the audio. By adoption of the method provided by the invention, the technical problem of relatively low accuracy of the detected intermediate frequency rhythm point inrelated technologies can be effectively solved.

Description

technical field [0001] The present application relates to the technical field of audio processing, and in particular to a method, device, device and storage medium for detecting an audio mid-frequency rhythm point. Background technique [0002] When using the mobile phone to play songs, because the low frequency of the mobile phone's external speakers is often insufficient, the low-frequency rhythm point of the song (also called the low-frequency drum point, where there is the sound of hitting the bass drum) is often not obvious. The most obvious is often the mid-frequency rhythm point (also known as the mid-frequency drum point, where there is the sound of hitting the snare drum or tom drum at the mid-frequency rhythm point). [0003] Since the perception of mid-frequency rhythm points is relatively obvious, the mid-frequency rhythm points of songs are often extracted for some interesting applications. For example, in the process of playing a song on the mobile phone, the ...

AI Technical Summary

Problems solved by technology

However, since there are other sounds (such as human voice) except drums in the song, it is easy to be disturbed by other sounds when detecting the mid-frequency rhythm point, so that the accuracy of the detected mid-frequency rhythm point is low.

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