Research on lightweight synchronization recognition algorithms for multiple acoustic sources in a photoacoustic sensor system based on Sagnac interference

Abstract

The photoacoustic sensor system based on Sagnac interference has extensive applications in perimeter security. Among them, the demand for synchronization recognition of multiple acoustic sources and integrated utilization becomes the key to expand its application field. By focusing on multi-source synchronization recognition, a lightweight optical-acoustic signal recognition algorithm that can be carried by an embedded system was studied. The collected optical-acoustic signals were extracted through preprocessing, Fast Fourier Transform (FFT), Mel filter bank (MFB), and other steps to obtain Mel spectrogram features, which were then used for optical-acoustic signal recognition using the MobilenetV3 network. The experimental results showed that this system achieved a synchronization recognition rate of 93% for six types of sounds, providing a possibility for implementing multi-sound recognition in embedded systems based on Sagnac interference photoacoustic sensor systems.