FastMVAE2: On Improving and Accelerating the Fast Variational Autoencoder-Based Source Separation Algorithm for Determined Mixtures

Medientyp: E-Artikel
Titel: FastMVAE2: On Improving and Accelerating the Fast Variational Autoencoder-Based Source Separation Algorithm for Determined Mixtures
Beteiligte: Li, Li; Kameoka, Hirokazu; Makino, Shoji
Erschienen: Institute of Electrical and Electronics Engineers (IEEE), 2023
Erschienen in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31 (2023), Seite 96-110
Sprache: Nicht zu entscheiden
DOI: 10.1109/taslp.2022.3214763
ISSN: 2329-9290; 2329-9304
Schlagwörter: Electrical and Electronic Engineering ; Acoustics and Ultrasonics ; Computer Science (miscellaneous) ; Computational Mathematics
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