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

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Vydané v:IEEE/ACM Transactions on Audio, Speech, and Language Processing Ročník 31; s. 96 - 110
Hlavní autori: Li Li, Hirokazu Kameoka, Shoji Makino
Médium: Journal Article
Jazyk:Japanese
Vydavateľské údaje: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2023
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Audio and Speech Processing (eess.AS)
Computer Science - Sound
Electrical Engineering and Systems Science - Audio and Speech Processing
FOS: Computer and information sciences
FOS: Electrical engineering, electronic engineering, information engineering
Sound (cs.SD)
ISSN:2329-9290, 2329-9304
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Author Shoji Makino
Hirokazu Kameoka
Li Li
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StartPage 96
SubjectTerms Audio and Speech Processing (eess.AS)
Computer Science - Sound
Electrical Engineering and Systems Science - Audio and Speech Processing
FOS: Computer and information sciences
FOS: Electrical engineering, electronic engineering, information engineering
Sound (cs.SD)
Title FastMVAE2: On Improving and Accelerating the Fast Variational Autoencoder-Based Source Separation Algorithm for Determined Mixtures
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