Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing

Autor:	Chronopoulou, Alexandra, Thompson, Brian, Mathur, Prashant, Virkar, Yogesh, Lakew, Surafel M., Federico, Marcello
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	Automatic dubbing (AD) is the task of translating the original speech in a video into target language speech. The new target language speech should satisfy isochrony; that is, the new speech should be time aligned with the original video, including mouth movements, pauses, hand gestures, etc. In this paper, we propose training a model that directly optimizes both the translation as well as the speech duration of the generated translations. We show that this system generates speech that better matches the timing of the original speech, compared to prior work, while simplifying the system architecture. Comment: 5 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2302.12979 Zobrazit plný text záznamu View this record from Arxiv