Method for recognizing audio based on spectrogram significance test

Abstract

The invention discloses a method for recognizing audio based on spectrogram significance test. The method is characterized by comprising the following steps: 1, acquiring spectrograms of different sound sources, and extracting characteristics to obtain a basic characteristics set; 2, obtaining a significance map by the GBVS algorithm, and extracting a main map by the main map separating method; 3, extracting a hierarchy correlation map; 4, acquiring a PCA characteristics map; 5, building GCNN sound source models of different sound sources; 6, recognizing the sound sources of which the spectrograms are to be tested according to the GCNN sound source models. With the adoption of the method, the characteristic information of unknown audio type under a complex environment can be effectively represented, and meanwhile, the audio can be quickly and automatically recognized.

Description

technical field

[0001] The invention belongs to the field of audio recognition, in particular to an audio recognition method based on the significance detection of spectrogram. Background technique

[0002] With the rapid development of the Internet, a large amount of audio, video and image information has emerged. However, the research speed of audio information is far behind the research of video and images, and the identification of a large amount of audio information is a huge and cumbersome project only by manual labeling. Therefore, to realize the automatic identification of audio signals, It is the focus of research in the field of audio.

[0003] The existing automatic recognition methods of audio signals are mainly carried out through two steps of extracting features and selecting classifiers, among which the research and extraction of sound features of audio signals is a traditional and commonly used audio recognition method. However, for a large amount of unknow...

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