YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls

• URL: http://arxiv.org/abs/2412.09168v1
• Date: Thu, 12 Dec 2024 10:55:57 GMT
• Title: YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls
• Authors: Zihao Chen, Haomin Zhang, Xinhan Di, Haoyu Wang, Sizhe Shan, Junjie Zheng, Yunming Liang, Yihan Fan, Xinfa Zhu, Wenjie Tian, Yihua Wang, Chaofan Ding, Lei Xie,
• Abstract summary: YingSound is a foundation model designed for video-guided sound generation. It supports high-quality audio generation in few-shot settings. We show that YingSound effectively generates high-quality synchronized sounds through automated evaluations and human studies.
• Score: 10.429203168607147
• License:
• Abstract: Generating sound effects for product-level videos, where only a small amount of labeled data is available for diverse scenes, requires the production of high-quality sounds in few-shot settings. To tackle the challenge of limited labeled data in real-world scenes, we introduce YingSound, a foundation model designed for video-guided sound generation that supports high-quality audio generation in few-shot settings. Specifically, YingSound consists of two major modules. The first module uses a conditional flow matching transformer to achieve effective semantic alignment in sound generation across audio and visual modalities. This module aims to build a learnable audio-visual aggregator (AVA) that integrates high-resolution visual features with corresponding audio features at multiple stages. The second module is developed with a proposed multi-modal visual-audio chain-of-thought (CoT) approach to generate finer sound effects in few-shot settings. Finally, an industry-standard video-to-audio (V2A) dataset that encompasses various real-world scenarios is presented. We show that YingSound effectively generates high-quality synchronized sounds across diverse conditional inputs through automated evaluations and human studies. Project Page: \url{https://giantailab.github.io/yingsound/}

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