Výsledky vyhledávání - "Pollet, Vincent"

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The Real Time Analysis framework of the Cherenkov Telescope Array's Large-Sized Telescope

Autor: Caroff, Sami, Aubert, Pierre, Garcia, Enrique, Maurin, Gilles, Pollet, Vincent, Vuillaume, Thomas

The Large-Sized Telescopes (LSTs) of the Cherenkov Telescope Array Observatory (CTAO) will play a crucial role in the study of transient gamma-ray sources, such as gamma-ray bursts and flaring active galactic nuclei. The low energy threshold of LSTs

Externí odkaz: http://arxiv.org/abs/2309.11679

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Expressive Machine Dubbing Through Phrase-level Cross-lingual Prosody Transfer

Autor: Swiatkowski, Jakub, Wang, Duo, Babianski, Mikolaj, Coccia, Giuseppe, Tobing, Patrick Lumban, Vipperla, Ravichander, Klimkov, Viacheslav, Pollet, Vincent

Speech generation for machine dubbing adds complexity to conventional Text-To-Speech solutions as the generated output is required to match the expressiveness, emotion and speaking rate of the source content. Capturing and transferring details and va

Externí odkaz: http://arxiv.org/abs/2306.11662

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Cross-lingual Prosody Transfer for Expressive Machine Dubbing

Autor: Swiatkowski, Jakub, Wang, Duo, Babianski, Mikolaj, Tobing, Patrick Lumban, Vipperla, Ravichander, Pollet, Vincent

Prosody transfer is well-studied in the context of expressive speech synthesis. Cross-lingual prosody transfer, however, is challenging and has been under-explored to date. In this paper, we present a novel solution to learn prosody representations t

Externí odkaz: http://arxiv.org/abs/2306.11658

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Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning

Autor: Ruggiero, Giuseppe, Zovato, Enrico, Di Caro, Luigi, Pollet, Vincent

Deep learning models are becoming predominant in many fields of machine learning. Text-to-Speech (TTS), the process of synthesizing artificial speech from text, is no exception. To this end, a deep neural network is usually trained using a corpus of

Externí odkaz: http://arxiv.org/abs/2102.05630

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