Spatial position constraint for unsupervised learning of speech representations

The success of supervised learning techniques for automatic speech processing does not always extend to problems with limited annotated speech. Unsupervised representation learning aims at utilizing unlabelled data to learn a transformation that makes speech easily distinguishable for classification...

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Bibliographic Details
Main Authors: Mohammad Ali Humayun, Hayati Yassin, Pg Emeroylariffion Abas
Format: Article
Language:English
Published: PeerJ Inc. 2021-07-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-650.pdf