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Search results for generative adversarial network speech enhancement

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Speech Enhancement Wgan ⭐ 23

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Convolutionaneuralnetworkstoenhancecodedspeech ⭐ 22

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions

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