Synthetic Aperture Local Conformal Autoencoder for Semi-Supervised Speaker's DOA Tracking

In this article, we address the problem of tracking the direction of arrival (DOA) of a moving speaker in noisy and reverberant environments. We aim to achieve this in real-time, using as few measurements as possible. Toward this goal, we present a semi-supervised learning scheme that tracks the spe...

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Vydané v:	IEEE Transactions on Audio, Speech and Language Processing Ročník 33; s. 2918 - 2931
Hlavní autori:	Cohen, Idan, Gannot, Sharon, Lindenbaum, Ofir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Acoustic measurements Acoustics Apertures Autoencoders Hidden Markov models Kalman filters LOCA Location awareness Manifolds RTF Semi-supervised learning speaker tracking Speech processing synthetic aperture Training
ISSN:	2998-4173, 2998-4173
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