Detection and Classification of Acoustic Scenes and Events
Detection and Classification of Acoustic Scenes and Events
复制标题
DOI：
10.1109/tmm.2015.2428998
复制
发表时间：
2015-10-01
影响因子：
7.3
通讯作者：
Plumbley, Mark D.
中科院分区：
文献类型：
--
作者：
Stowell, Dan;Giannoulis, Dimitrios;Plumbley, Mark D.
对于智能系统来说，要充分利用音频模式，重要的是它们不仅能够识别已作为特定任务进行研究的语音和音乐，而且还能够识别日常环境中的一般声音。为了促进这一领域的研究，我们开展了一项公共研究挑战：IEEE 音频和声学信号处理技术委员会关于声学场景和事件的检测和分类的挑战 (DCASE)。在本文中，我们报告了自动分类音频场景以及自动检测和分类音频事件的最新技术。我们调查了之前的工作以及各个研究小组提交的挑战书所代表的最新技术水平。我们还提供有关挑战赛组织的详细信息，以便我们作为挑战赛主办方的经验可能对那些在类似领域组织挑战赛的人有用。我们为挑战创建了新的音频数据集和基线系统；这些以及一些提交的系统在开放许可下公开可用，作为通用机器监听进一步研究的基准。
For intelligent systems to make best use of the audio modality, it is important that they can recognize not just speech and music, which have been researched as specific tasks, but also general sounds in everyday environments. To stimulate research in this field we conducted a public research challenge: the IEEE Audio and Acoustic Signal Processing Technical Committee challenge on Detection and Classification of Acoustic Scenes and Events (DCASE). In this paper, we report on the state of the art in automatically classifying audio scenes, and automatically detecting and classifying audio events. We survey prior work as well as the state of the art represented by the submissions to the challenge from various research groups. We also provide detail on the organization of the challenge, so that our experience as challenge hosts may be useful to those organizing challenges in similar domains. We created new audio datasets and baseline systems for the challenge; these, as well as some submitted systems, are publicly available under open licenses, to serve as benchmarks for further research in general-purpose machine listening.