Audio scene recognition method and device based on long-term and short time feature extraction

Abstract

The invention relates to an audio scene recognition method and device based on long-term and short time feature extraction. The method comprises: preprocessing an inputted to-be-recognized audio signal; d carrying out short-time audio feature extraction on the pre-processed to-be-recognized audio signal and carrying out long-term audio feature extraction; and carrying out long-term and short-timeaudio feature combination of the to-be-recognized audio signal, inputting the features into a classification model and a fusion model, carrying out classification and identification, and outputting anidentification label of an audio scene. According to the invention, the long-term features of the audio scene are combined based on the conventional short-time feature extraction and complex audio scene information can be represented; the features are inputted into the classification model and the fusion model to carry out classification and identification; and the identification label of the audio scene is outputted. The method and device have advantages of high robustness and good distinguishing performance; the overall characteristics of the scene data can be represented to the great extent; and the recognition efficiency and the stability are high.

Description

technical field [0001] The invention relates to the field of audio scene recognition, in particular to an audio scene recognition method and device based on long-short-time feature extraction. Background technique [0002] With the development of the information society and the popularization of Internet technology, a large amount of digital audio content is flooding our daily life. Facing the rapid expansion of data volume, traditional analysis methods based on manual text annotation and structured prior knowledge are limited by efficiency and stability, and cannot achieve content analysis and information management of audio data, so that the information that is really concerned by people Or valuable knowledge is submerged in massive audio data. At the same time, specific and complex scenes under real sound acquisition conditions also limit people's effective management of digitized audio content and events. The complexity of the audio scene here is mainly reflected in th...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the problem in the prior art that it is difficult to find effective features that can fully characterize different audio scene information, and introduce a more robust and distinguishable feature extraction method, thereby providing a long-short time-based Audio scene recognition method and device based on feature extraction

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