Voice Print Recognition Technology of Optical Fiber Optic Sensing System Based on Neural Network
A voice print recognition method of optical fiber optic sensing system based on neural network is proposed to address the issues of susceptibility to environmental noise interference and poor electromagnetic compatibility in traditional voiceprint recognition system.This method utilizes fiber optic sensors to collect acoustic signals and combines deep learning algorithms to achieve voiceprint feature extraction and matching.Through key technologies such as fiber optic acoustic signal preprocessing,deep learning feature extraction,and adaptive voiceprint matching,the accuracy and robustness of recognition have been effectively improved.
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