EDAVS: Emotion-Driven Audiovisual Synthesis Experience

被引：0

作者：

Chen, Sihang ^{[1
]}

Chen, Junliang ^{[2
]}

Gu, Xiaojuan ^{[2
]}

机构：

[1] Victoria Univ Wellington, Wellington, New Zealand

[2] Beijing Film Acad, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE SIGGRAPH 2024 POSTERS | 2024年

关键词：

Emotion visualization; Audio-to-Image; Artificial Intelligence Generated Content;

D O I：

10.1145/3641234.3671080

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we proposed a novel approach to the creation of immersive multimedia content. At its core, EDAVS harnesses the subtle inflexions of human speech, translating emotive cues into dynamic visual narratives and corresponding soundscapes. This amalgamation of auditory sentiment and visual splendour is predicated upon cutting-edge machine-learning algorithms capable of deep semantic and emotional analysis.

引用

页数：2

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