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Audio-visual speech enhancement with a deep Kalman filter generative model
Deep latent variable generative models based on variational autoencoder (VAE) have shown promising performance for audiovisual speech enhancement (AVSE).
A weighted-variance variational autoencoder model for speech enhancement
A zero-mean complex-valued Gaussian distribution is usually assumed for the generative model, where the speech information is encoded in the variance as a function of a latent variable.
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