Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement

As a category of transfer learning, domain adaptation plays an important role in generalizing the model trained in one task and applying it to other similar tasks or settings. In speech enhancement, a well-trained acoustic model can be exploited to obtain the speech signal in the context of other la...

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Veröffentlicht in:	IEEE transactions on artificial intelligence Jg. 3; H. 1; S. 43 - 52
Hauptverfasser:	Li, Yi, Sun, Yang, Horoshenkov, Kirill, Naqvi, Syed Mohsen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2022
Schlagworte:	Adaptation models Domain adaptation Feature extraction importance-weighting (IW) minimax Speech enhancement Task analysis Testing Training Transfer learning variance-constrained autoencoder (VAE)
ISSN:	2691-4581, 2691-4581
Online-Zugang:	Volltext
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