Masked Spectrogram Prediction for Unsupervised Domain Adaptation in Speech Enhancement

Supervised learning-based speech enhancement methods often work remarkably well in acoustic situations represented in the training corpus but generalize poorly to out-of-domain situations, i.e. situations not seen during training. This stands in the way of further improvement of these methods in rea...

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Bibliographic Details
Main Authors: Katerina Zmolikova, Michael Syskind Pedersen, Jesper Jensen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10360251/