Investigation And Comparison of Optimization Methods for Variational Autoencoder-Based Underdetermined Multichannel Source Separation

In this paper, we investigate two algorithms for variational autoencoder (VAE)-based underdetermined multichannel source separation. We previously extended the multichannel VAE (MVAE) method for determined multichannel source separation and proposed the generalized MVAE (GMVAE) method for underdeter...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 511 - 515
Hlavní autori:	Seki, Shogo, Kameoka, Hirokazu, Li, Li
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.05.2022
Predmet:	Classification algorithms Conferences convergence-guaranteed algorithm Inference algorithms Optimization methods Parameter estimation Signal processing algorithms Source separation Underdetermined multichannel source separation variational autoencoder
ISSN:	2379-190X
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