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Noise2noise Audio_denoising_without_clean_training_data ⭐ 52

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

Multichannel Speech Enhancement With Deep Neural Networks ⭐ 5

This thesis applies an autoencoder deep neural network to the multichannel speech enhancement problem. It takes the problem from dataset generation to the model training

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