A Classification Method Based on Audio Feature Signal

Abstract

The invention relates to a classification method based on an audio characteristic signal, and belongs to the technical field of audio signal processing. The present invention classifies the audio feature signal after dimensionality reduction processing by using Gaussian kernel function and Bayesian prior knowledge. The classification algorithm based on the audio feature signal of the present invention can be used for audio broadcast monitoring, artificial intelligence speech recognition, audio scene mode distinction, and the like. The present invention mainly performs audio classification based on the coefficient domain feature of the audio characteristic signal, and is more universal and stable compared with the prior art of classifying based on audio content. The invention utilizes the excellent nonlinear characteristics of the Gaussian kernel function and the efficient optimization algorithm, thereby avoiding the shortcomings of single application scene, slow running speed and poor classification effect caused by the use of linear mapping. The algorithm theory is also relatively simple and easy to program and implement, which is more practical and practical in engineering projects.

Description

technical field [0001] The invention relates to a classification method based on audio feature signals, and belongs to the technical field of audio feature signal processing. Background technique [0002] In order to improve the recognition efficiency and accuracy based on audio signals, and audio feature classification also plays an important role in the audio monitoring control of wireless broadcasting, it is particularly important to study the classification algorithm based on audio feature signals. The main classification algorithms include Bayesian classification algorithm, decision tree algorithm, support vector machine algorithm, etc. Most of these classification algorithms have poor classification effect, complex algorithm, large amount of calculation, and difficult programming. This algorithm utilizes the excellent nonlinear characteristics of the Gaussian kernel function and combines the Bayesian prior theory, and can achieve satisfactory results in the classificat...

AI Technical Summary

Problems solved by technology

[0002] In order to improve the recognition efficiency and accuracy based on audio signals, and the audio feature classification also plays a decisive role in the audio monitoring control of wireless broadcasting, the research on the classification algorithm based on audio feature signals is particularly important, and the current The main classification algorithms include Bayesian classification algorithm, decision tree algorithm, support vector machine algorithm, etc. For these classification algorithms, most of them have poor classification effect, complex algorithm, large amount of calculation, and difficult to implement programming, etc.

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