Research on High Fidelity Audio Reconstruction Method Based on Neural Network
To improve the quality of damaged audio signals,a high fidelity audio reconstruction method based on neural networks is proposed.This method utilizes Convolutional Neural Network(CNN)to extract features,adaptive filters to suppress noise,and Generative Adversarial Network for audio reconstruction.The experimental results show that this method can significantly improve audio quality in different noise environments,especially under low Signal-to-Noise Ratio(SNR)conditions.
high fidelity audioreconstructionConvolutional Neural Network(CNN)
NETL
NSTL
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