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eess.AS2021★ 14 cited
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Recently, the standard variational autoencoder has been successfully used to learn a probabilistic prior over speech signals, which is then used to perform speech enhancement. Vari…
eess.AS2021★ 18 cited
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Recently, variational autoencoders have been successfully used to learn a probabilistic prior over speech signals, which is then used to perform speech enhancement. However, variat…