Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations

In this paper, we propose a multi-speaker face-to-speech waveform generation model that also works for unseen speaker conditions. Using a generative adversarial network (GAN) with linguistic and speaker characteristic features as auxiliary conditions, our method directly converts face images into sp...

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Bibliographische Detailangaben

Hauptverfasser:	Um, Se-Yun, Kim, Jihyun, Lee, Jihyun, Kang, Hong-Goo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Sound
Online-Zugang:	Volltext bestellen
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