基于深度学习的光纤麦克风频带扩展OA北大核心CSTPCD

The optical fiber microphone has the advantages of small size,high precision and strong anti-interference ability and can pick up the target speech in a complex environment.However,in the process of speech acquisition,the optical fiber microphone is limited by the response bandwidth,and high-frequency components are missing,which reduces the short-time objective intelligibility(STOI)and signal-to-noise ratio(SNR)of speech.The temporal convolutional module(TCM)was introduced into Wave-U-Net,and TCM_Wave-U-Net was proposed.On this basis,the collaborative network between frequency-domain convolutional recurrent neural networks(CRN)and time-domain TCM_Wave-U-Net(It was called collaborative network for short)was proposed.The experimental results showed that the cooperative network had strong generalization and robustness.The research results of this paper laid a foundation for the speech fidelity pickup of the optical fiber microphone.