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arXiv · 2309.05975

CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram

Zhifeng Kong·Wei Ping·Ambrish Dantrey·Bryan Catanzaro
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Abstract

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.

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Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro. 2023-09-12. CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. https://doi.org/10.21437/interspeech.2023-1287

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