Classification system for identifying audio content

Abstract

The invention provides an audio content classification system, which comprises a training end and a test end, wherein the training end extracts characteristics of audio test samples through an audio characteristics extracting module, and trains classifier parameters through a classifier training module; and the test end comprises the audio characteristics extracting module shared by the training end, a classifier decision module, a transient characteristics extracting module, a transient characteristics smoothing module and an incremental learning module, wherein the audio characteristics extracting module is used for extracting audio characteristics of input signals; the classifier decision module takes output audio characteristics of the audio characteristics extracting module as input to classify the classifier parameters obtained by training a first frame through a training part; simultaneously, the transient characteristics extracting module extracts transient characteristics of the input signals, and outputs the transient characteristics of the input signals to the transient characteristics smoothing module; the transient characteristics smoothing module corrects and outputs an output result of the classifier decision module; and simultaneously, an incremental learning module utilizes classified class information and characteristic information of audio frames as a group of incremental learning samples to update the classifier parameters.

Description

technical field [0001] The invention relates to a pattern recognition and signal processing technology, in particular to a classification system for audio content recognition. Background technique [0002] Audio is an important medium in multimedia, and audio information retrieval technology is an important part of multimedia information retrieval technology. The corresponding existing technologies can refer to Chinese patents 1391211, 1223739 and 1270361 and US patents 5,613,037, 6,292,776 and 5,440,662, etc. . In audio retrieval applications, it is necessary to classify audio data. Its purpose is to distinguish which category the input audio signal belongs to. Common audio categories include voice, background noise, pop music, classical music, etc., and the application of audio content classification It is also very extensive, especially in the field of audio retrieval, audio content classification plays a decisive role, and in the extraction process of some multimedia ab...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose an audio content classification system to solve the defects that the parameters of the existing classifier cannot be updated and the audio characteristics of emergencies cannot be effectively processed

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