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1 Ergebnisse
1
SpeechTripleNet: End-to-End Disentangled Speech Representat..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Lu, Hui
;
Wu, Xixin
;
Wu, Zhiyong
. - p. 2829-2837 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3612485
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>SpeechTripleNet: End-to-End Disentangled Speech Representation Learning for Content, Timbre and Prosody</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612485&Exemplar=1&LAN=DE A1 Lu, Hui A1 Wu, Xixin A1 Wu, Zhiyong A1 Meng, Helen PB ACM YR 2023 K1 prosody modeling K1 speech disentanglement K1 unsupervised representation learning K1 vae K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Learning in probabilistic graphical models K1 Latent variable models K1 Learning paradigms SP 2829 OP 2837 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3612485 DO https://dl.acm.org/doi/10.1145/3581783.3612485 SF ELIB - SuUB Bremen
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