Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar
34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022
; 2022-October:1002-1006, 2022.
Article
in English
| Scopus | ID: covidwho-2319639
ABSTRACT
Since the beginning of the COVID-19 pandemic, remote conferencing and school-teaching have become important tools. The previous applications aim to save the commuting cost with real-time interactions. However, our application is going to lower the production and reproduction costs when preparing the communication materials. This paper proposes a system called Pre-Avatar, generating a presentation video with a talking face of a target speaker with 1 front-face photo and a 3-minute voice recording. Technically, the system consists of three main modules, user experience interface (UEI), talking face module and few-shot text-to-speech (TTS) module. The system firstly clones the target speaker's voice, and then generates the speech, and finally generate an avatar with appropriate lip and head movements. Under any scenario, users only need to replace slides with different notes to generate another new video. The demo has been released here11https//pre-avatar.github.io/ and will be published as free software for use. © 2022 IEEE.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022
Year:
2022
Document Type:
Article
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