Paper ID: 2309.05975
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram
Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
In this work, we present CleanUNet 2, a speech denoising model that combines the advantages of waveform denoiser and spectrogram denoiser and achieves the best of both worlds. CleanUNet 2 uses a two-stage framework inspired by popular speech synthesis methods that consist of a waveform model and a spectrogram model. Specifically, CleanUNet 2 builds upon CleanUNet, the state-of-the-art waveform denoiser, and further boosts its performance by taking predicted spectrograms from a spectrogram denoiser as the input. We demonstrate that CleanUNet 2 outperforms previous methods in terms of various objective and subjective evaluations.
Submitted: Sep 12, 2023