Quick acoustic event detection method under vehicle-driving noise environment

Abstract

The invention provides a quick acoustic event detection method under a vehicle-driving noise environment, belongs to the field of acoustic event detection of an unmanned vehicle, and is to solve the problem that an existing unmanned vehicle cannot sense sound. The method comprises the following steps: in the training stage, serving audio signals of various target acoustic events and vehicle-driving noise signals as training data, establishing an SVM model for each target acoustic event by utilizing the audio signals, and training a BPNN noise model by utilizing the obtained energy of the vehicle-driving noise signals; and in the identification stage, carrying out filtering on the audio signals of a target acoustic event to be detected collected in real time under the vehicle-driving noise environment, carrying out noise reduction and enhancement by utilizing the BPNN noise model, then, extracting MFCC coefficients, carrying out classification identification according to the MFCC coefficients and by utilizing the SVM model to determine the category of the target acoustic event to be detected, furthermore, determining corresponding whistle language sequence codes, and carrying out retrieval on a current whistle sequence library to determine corresponding whistle language information. The acoustic event detection method is used for the unmanned vehicle.

Description

technical field [0001] The invention belongs to the field of unmanned vehicle acoustic event detection. Background technique [0002] One of the core contents of unmanned vehicle research is intelligent behavior decision-making, and the premise of intelligent behavior decision-making is the automatic perception of the surrounding environment during driving. There are many ways to perceive environmental information, among which the automatic perception of audiovisual information plays an important role in the driving of unmanned vehicles, but a lot of interactive information between the outside world and unmanned workshops is based on sound, such as The sirens of various vehicles prompting avoidance, the sirens of police cars and ambulances, and the sirens of railway crossings, etc. Perceiving these sound-based interactive information around them and making correct intelligent decisions is very important for unmanned vehicles . Contents of the invention [0003] The purpo...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that existing unmanned vehicles cannot perceive the sound of the surrounding environment. The present invention provides a detection method for fast acoustic events in a driving noise environment

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