Speech Enhancement Network with Unsupervised Attention using Invariant Information Clustering
In this paper, we propose a new framework for speech enhancement using supervised attention trained by Invariant Information Clustering (IIC). For suppressing an overfitting in the speech enhancement network, the multitask learning with the speaker-invariant information is adopted at the latent repr...
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Published in | 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) pp. 406 - 409 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
APSIPA
14.12.2021
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Subjects | |
Online Access | Get full text |
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