The addition of Foley sound effects during post-production is a common technique used to enhance the perceived acoustic properties of multimedia content. Traditionally, Foley sound has been produced by human Foley artists, which involves manual recording and mixing of sound. However, recent advances in sound synthesis and generative models have generated interest in machine-assisted or automatic Foley synthesis techniques. To promote further research in this area, we have organized a challenge in DCASE 2023: Task 7 - Foley Sound Synthesis. Our challenge aims to provide a standardized evaluation framework that is both rigorous and efficient, allowing for the evaluation of different Foley synthesis systems. We received 17 submissions, and performed both objective and subjective evaluation to rank them according to three criteria: audio quality, fit-to-category, and diversity. Through this challenge, we hope to encourage active participation from the research community and advance the state-of-the-art in automatic Foley synthesis. In this technical report, we provide a detailed overview of the Foley sound synthesis challenge, including task definition, dataset, baseline, evaluation scheme and criteria, challenge result, and discussion.

翻译：在后期制作中添加拟音效果是一种常见技术，用于增强多媒体内容感知到的声学特性。传统上，拟音由人类拟音师制作，涉及声音的手动录制与混音。然而，近年来声音合成与生成模型的进展激发了人们对机器辅助或自动拟音合成技术的兴趣。为促进该领域的研究，我们在DCASE 2023中组织了第七项任务——拟音合成挑战赛。该挑战赛旨在提供一个既严谨又高效的标准化评估框架，用于评估不同的拟音合成系统。我们收到了17份参赛作品，并进行了客观与主观评估，依据音频质量、类别匹配度和多样性三项标准进行排序。通过本次挑战赛，我们希望鼓励研究社区的积极参与，并推动自动拟音合成技术达到新水平。本技术报告详细介绍了拟音合成挑战赛，包括任务定义、数据集、基线系统、评估方案与标准、挑战结果及讨论。