Audio classification method, device and computer readable storage medium

Abstract

The invention discloses an audio classification method, device and a computer readable storage medium, and belongs to the technical field of electronics. The method comprises: collecting an audio signal; intercepting or supplementing the audio signal to adjust the duration of the audio signal to a preset duration; converting the audio signal to a target audio according to the frequency informationof the audio signal; extracting audio features of the target audio through a convolutional network contained in a preset classifier; extracting time-order features of the audio features through a threshold circulation network contained in the preset classifier; and determining a probability that a category of the target audio is a preset category identified by each of multiple preset category identifiers through a fully-connected network contained in the preset classifier according to the time-order features; and determining the preset category identified by a preset category identifier having the highest probability among the multiple preset category identifiers as the category of the target audio. With the adoption of the method, segmentation of the target audio is avoided, the integrity of the target audio is preserved, and the classification accuracy is relatively high.

Description

technical field [0001] The present invention relates to the field of electronic technology, in particular to an audio classification method, device and computer-readable storage medium. Background technique [0002] With the rapid development of electronic technology, people often upload audio in music applications. In order to facilitate users to search and use audio, music applications often classify massive uploaded audio. For example, the music application can distinguish the quality of the uploaded audio, or determine whether the uploaded audio is a human voice or a musical accompaniment. [0003] In related technologies, a support vector machine classifier is used to classify audio. Since the features that can be identified by the support vector machine classifier are limited, the operation of the support vector machine classifier is cumbersome and the classification efficiency is low. In addition, usually only a sufficiently long audio can reflect its real attribute...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide an audio classification method, device, and computer-readable storage medium, which can solve the problems of low audio classification efficiency and low accuracy in related technologies

Images