What Do I Hear? Generating Sounds for Visuals with ChatGPT

Autor:	Lin, David Chuan-En, Martelaro, Nikolas
Rok vydání:	2023
Předmět:	Computer Science - Sound Computer Science - Computer Vision and Pattern Recognition Computer Science - Multimedia Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	This short paper introduces a workflow for generating realistic soundscapes for visual media. In contrast to prior work, which primarily focus on matching sounds for on-screen visuals, our approach extends to suggesting sounds that may not be immediately visible but are essential to crafting a convincing and immersive auditory environment. Our key insight is leveraging the reasoning capabilities of language models, such as ChatGPT. In this paper, we describe our workflow, which includes creating a scene context, brainstorming sounds, and generating the sounds. Comment: Demo: http://soundify.cc
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2311.05609 Zobrazit plný text záznamu View this record from Arxiv