@inproceedings{19dffbd492f1457e8e7c5d170b5b71a2,
title = "Automatic Detection of Domain Shifts in Speech Enhancement Systems Using Confidence-Based Metrics",
abstract = "Introducing a domain shift, such as a change in language or environment, to a well-trained speech enhancement system can cause severe performance degradation. Most current research assumes that a domain shift has already been detected and focuses on either supervised or unsupervised domain adaptation techniques. Here, we address the problem of automatically detecting when a domain shift has occurred. We present a domain shift detection method based on monitoring the confidence of a network that predicts the quality of enhanced speech. The experimental results show that our method can effectively detect a domain mismatch between the training and test sets.",
keywords = "domain shift, mismatch detection, speech enhancement",
author = "Lior Frankel and Chazan, {Shlomo E.} and Jacob Goldberger",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 ; Conference date: 06-04-2025 Through 11-04-2025",
year = "2025",
doi = "10.1109/icassp49660.2025.10888825",
language = "الإنجليزيّة",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Rao, {Bhaskar D} and Isabel Trancoso and Gaurav Sharma and Mehta, {Neelesh B.}",
booktitle = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings",
address = "الولايات المتّحدة",
}