安徽大学学报（自然科学版）2024，Vol.48Issue(3)：39-45,7.DOI:10.3969/j.issn.1000-2162.2024.03.006
基于深度学习的光纤麦克风频带扩展
The fiber optic microphone bandwidth expansion based on deep learning
摘要
Abstract
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.关键词
光纤麦克风/频带扩展/深度学习/卷积神经网络/多尺度融合Key words
optic fiber microphone/frequency band expansion/deep learning/convolutional neural network/multi-scale fusion分类
信息技术与安全科学引用本文复制引用
方健,甄胜来,陈鑫,俞本立..基于深度学习的光纤麦克风频带扩展[J].安徽大学学报（自然科学版）,2024,48(3):39-45,7.基金项目
安徽省重点研究与开发计划项目(202104a05020059) （202104a05020059）
