A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders

Recent studies have explored the use of deep generative models of speech spectra based of variational autoencoders (VAEs), combined with unsupervised noise models, to perform speech enhancement. These studies developed iterative algorithms involving either Gibbs sampling or gradient descent at each...

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Bibliographische Detailangaben

Hauptverfasser:	Pariente, Manuel, Deleforge, Antoine, Vincent, Emmanuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Sound Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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