Independent component analysis based automobile sound identification method

A technology of independent component analysis and sound recognition, which is used in traffic control systems, instruments, and traffic control systems of road vehicles.

Inactive Publication Date: 2008-03-19
BEIHANG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the recognition of vehicle sounds, due to the influence of the environment on the extracted sound, the speed of the vehicle, and the individual differences

Method used

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  • Independent component analysis based automobile sound identification method
  • Independent component analysis based automobile sound identification method
  • Independent component analysis based automobile sound identification method

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Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] The goal of the demonstration system is to classify roadside vehicles and distinguish between light vehicles and heavy vehicles.

[0038] The vehicle sound recognition method based on independent component analysis uses the frequency domain information of vehicle sound to carry out vehicle recognition and classification, including two processes of vehicle sound feature library training and vehicle sound feature recognition and classification. The adjusted spectrum vector is obtained by these two processes. For the common processing process, the processing process of this part is collectively referred to as the preprocessing process hereinafter.

[0039] 1. Pretreatment process

[0040] Step 1: Use an audio collection device to collect vehicle sound signals. Since 90% of the energy of the vehicle sound is concentrated below 4000HZ, the sampling frequenc...

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Abstract

The present invention relates to a vehicle audio identification method based on independent component analysis, and belongs to the audio processing and mode identification technology field. The utility model has the steps that audio frequency spectrums of different vehicles are gotten by a pretreatment of different vehicle sounds, frequency spectrums are trimmed down according to characteristics of the vehicle sounds, and coefficients of frequency domain are changed to log domain, thereby enhancing the robustness of the audio identification of the vehicle. Getting the characteristics of the vehicle sounds by using the independent component analysis adapts to small sample training characteristics of vehicle identification. The samples which are ready for identifying are rebuilt in a characteristic space consisting of independent components, a Euclidean distance between the samples which are ready for identifying and the center of the vehicle is gotten, and the samples which are ready for identifying are classified according to the Euclidean distance. The present invention can identify the vehicle sounds highly efficiently and fleetly, thereby especially adapting to real time computation circumstance. The present invention can be used in a plurality of circumstances like detecting of passing vehicles in military field and intelligent traffic system in civilian field and so on.

Description

technical field [0001] The invention relates to a vehicle sound recognition method based on independent component analysis, which belongs to the technical field of audio processing and pattern recognition. Background technique [0002] In the field of pattern recognition, independent component analysis (Independent Component Analysis, ICA) and principal component analysis (Principal Component Analysis, PCA) have many similarities in processing methods and ideas. Both methods can realize the linear representation of observed data. Both can project data from a high-dimensional space to a more meaningful low-dimensional space to achieve the purpose of dimensionality reduction and redundancy reduction, and perform corresponding processing, such as data structure analysis, data feature extraction, etc. The decomposition based on the PCA principle can only ensure that the decomposed components are uncorrelated, and cannot guarantee that these components are independent of each oth...

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Application Information

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IPC IPC(8): G08G1/017
Inventor 吴威曹靖耿云霄周忠赵沁平
Owner BEIHANG UNIV
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