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Neural Music Enhancement with Dual Time-Frequency Spectral Representations for Prediction and Discrimination
Non-professional music recordings shared online often suffer from background noise and reverberation, degrading perceived quality and limiting reuse. This paper proposes DSME, a music enhancement model based on dual time-frequency spectral representations. Within a generative adversarial framework,
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