Phase reconstruction based on recurrent phase unwrapping with deep neural networks
ICASSP, pp. 826-830, 2020.
Phase reconstruction, which estimates phase from a given amplitude spectrogram, is an active research field in acoustical signal processing with many applications including audio synthesis. To take advantage of rich knowledge from data, several studies presented deep neural network (DNN)--based phase reconstruction methods. However, the...More
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