all AI news
SVTS: Scalable Video-to-Speech Synthesis. (arXiv:2205.02058v1 [cs.SD])
Web: http://arxiv.org/abs/2205.02058
May 5, 2022, 1:10 a.m. | Rodrigo Mira, Alexandros Haliassos, Stavros Petridis, Björn W. Schuller, Maja Pantic
cs.CV updates on arXiv.org arxiv.org
Video-to-speech synthesis (also known as lip-to-speech) refers to the
translation of silent lip movements into the corresponding audio. This task has
received an increasing amount of attention due to its self-supervised nature
(i.e., can be trained without manual labelling) combined with the ever-growing
collection of audio-visual data available online. Despite these strong
motivations, contemporary video-to-speech works focus mainly on small- to
medium-sized corpora with substantial constraints in both vocabulary and
setting. In this work, we introduce a scalable video-to-speech framework …
More from arxiv.org / cs.CV updates on arXiv.org
Latest AI/ML/Big Data Jobs
Data Analyst, Patagonia Action Works
@ Patagonia | Remote
Data & Insights Strategy & Innovation General Manager
@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX
Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis
@ Ahmedabad University | Ahmedabad, India
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC