Acoustic Scene Classification
Acoustic Scene Classification
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DOI：
10.1109/msp.2014.2326181
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发表时间：
2015-05-01
影响因子：
14.9
通讯作者：
Plumbley, Mark D.
中科院分区：
文献类型：
--
作者：
Barchiesi, Daniele;Giannoulis, Dimitrios;Plumbley, Mark D.
在这篇文章中，我们提出了一个帐户的艺术状态在声学场景分类（ASC），分类环境的声音，他们产生的任务。从以前的研究在这方面的历史回顾开始，我们定义了一个一般的框架，ASC和不同的实现其组件。然后，我们描述了一系列不同的算法提交的数据挑战，举行ASC技术提供一个通用的和公平的基准。沿着了为此目的记录的数据集以及用于评价算法和统计显著性检验的性能指标，以比较提交的方法。
In this article, we present an account of the state of the art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce. Starting from a historical review of previous research in this area, we define a general framework for ASC and present different implementations of its components. We then describe a range of different algorithms submitted for a data challenge that was held to provide a general and fair benchmark for ASC techniques. The data set recorded for this purpose is presented along with the performance metrics that are used to evaluate the algorithms and statistical significance tests to compare the submitted methods.