#计算机科学#Implementation of Denoising Diffusion Probabilistic Model in Pytorch
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Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causa...
翻译 - 波形域中的实时语音增强（Interspeech 2020）我们提供了论文《波形域中的实时语音增强》的PyTorch实现。其中，我们提出了一种因果语音增强模型，该模型处理了在便携式计算机CPU上实时运行的原始波形。所提出的模型基于具有跳过连接的编码器-解码器体系结构。使用多个损失函数，可以在时域和频域上对其进行优化。经验证据表明，它能够消除各种背景噪音，包括固定和非固定噪音以及房间混响。此外，我们建议将一组数据增强技术直接应用于原始波形，以进一步提高模型性能及其泛化能力。
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
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