Robust Unsupervised Audio-Visual Speech Enhancement Using A Mixture Of Variational Autoencoders

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Robust Unsupervised Audio-Visual Speech Enhancement Using A Mixture Of Variational Autoencoders


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Robust Unsupervised Audio-Visual Speech Enhancement Using A Mixture Of Variational Autoencoders

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Recently, an audio-visual speech generative model based on variational autoencoder (VAE) has been proposed, which is combined with a non-negative matrix factorization (NMF) model for noise variance to perform unsupervised speech enhancement. When visual d
Recently, an audio-visual speech generative model based on variational autoencoder (VAE) has been proposed, which is combined with a non-negative matrix factorization (NMF) model for noise variance to perform unsupervised speech enhancement. When visual d