arXiv:2410.04951eess.AScs.SD2024-10被引 17

回顾十年音频场景与事件识别挑战赛的发展与未来方向

A decade of DCASE: Achievements, practices, evaluations and future challenges

  • 梳理DCASE从2013年至今的演进历程与核心机制
  • 强调开放数据与可复现性对社区发展的关键作用
  • 适合关注音频信号处理、学术挑战赛设计的研究者

本文简要介绍声学场景与事件检测与分类(DCASE)挑战赛、研讨会、研究领域及研究社区的发展历程。自2013年作为数据评估挑战赛创立以来,DCASE已成为音频与声学信号处理领域的重要研究方向。其成功源于每年更新的多样化任务以及为相关成果传播提供平台的研讨会,吸引了年轻而活跃的科研群体。同时,随着应用范围扩展,DCASE也面临持续增长的挑战。其核心原则是开放科学与可复现性:公开数据集、基线系统、技术报告与研讨会论文。尽管DCASE挑战赛与研讨会独立于IEEE SPS,但每年均获AASP技术委员会支持,且该社区在ICASSP等旗舰会议及SPS多项活动中贡献显著。

原文摘要 · Abstract (English)

This paper introduces briefly the history and growth of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge, workshop, research area and research community. Created in 2013 as a data evaluation challenge, DCASE has become a major research topic in the Audio and Acoustic Signal Processing area. Its success comes from a combination of factors: the challenge offers a large variety of tasks that are renewed each year; and the workshop offers a channel for dissemination of related work, engaging a young and dynamic community. At the same time, DCASE faces its own challenges, growing and expanding to different areas. One of the core principles of DCASE is open science and reproducibility: publicly available datasets, baseline systems, technical reports and workshop publications. While the DCASE challenge and workshop are independent of IEEE SPS, the challenge receives annual endorsement from the AASP TC, and the DCASE community contributes significantly to the ICASSP flagship conference and the success of SPS in many of its activities.

音频识别挑战赛开放科学

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