Emergency vehicle detection method based on acoustic spectrum-time domain information fusion

By fusing acoustic spectrum and time domain information in sirens detection, and using coordinate attention network and lightweight detection neural network model, the problem of traditional methods of identifying sirens in high-speed driving and noise complex scenarios is solved, achieving higher detection accuracy and system robustness.

CN119724230APending Publication Date: 2025-03-28CHONGQING UNIV OF POSTS & TELECOMM
0 Cites 1 Cited by

Patent Information

Application Number
CN202411910392.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Traditional sirens sound detection methods are difficult to accurately identify sirens sounds in high-speed driving and in scenes with high noise interference, especially in situations where frequency is unstable and environmental noise is complex.

Method used

An emergency vehicle detection method based on acoustic spectrum-time domain information fusion is adopted. Audio signals are collected through vehicle microphones and frequency domain and time domain representations are performed separately. A coordinate attention network is introduced to perform fusion calculations on features, and finally the fused features are input into the lightweight detection neural network model for sirens detection.

Benefits of technology

By integrating time and frequency domain information, high recognition accuracy can be maintained in scenarios with high speed driving or high noise interference, improving the accuracy of emergency vehicle detection and system robustness. Moreover, the system's response speed and processing efficiency can be improved due to the adoption of a lightweight deep learning model.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention belongs to the field of vehicle-mounted acoustic signal processing and recognition, and particularly relates to an emergency vehicle detection method based on acoustic spectrum-time domain information fusion, which comprises the following steps: acquiring an audio signal from an environment through vehicle-mounted microphone equipment, and respectively expressing the audio signal by a frequency domain and a time domain; introducing a coordinate attention network to perform fusion calculation on the features in the time domain representation and the frequency domain representation to obtain attention fused features; and inputting the attention fused features into a lightweight detection neural network model, and calculating whether siren sound exists in the current signal. According to the invention, through fusion of time domain and frequency domain information and combination of a coordinate attention mechanism, high identification precision can be maintained in high-speed driving or other scenes with large noise interference; especially under the condition that the influence of background noise such as engine noise, wind noise and traffic flow is large, the siren sound of the emergency vehicle can still be accurately detected, and the robustness of the system is enhanced.
Need to check novelty before this filing date? Find Prior Art