The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking
The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking
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DOI：
10.1109/sam.2018.8448644
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Heinrich W. Löllmann;C. Evers;Alexander Schmidt;H. Mellmann;Hendrik Barfuss;P. Naylor;Walter Kellermann
中科院分区：
文献类型：
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作者：
Heinrich W. Löllmann;C. Evers;Alexander Schmidt;H. Mellmann;Hendrik Barfuss;P. Naylor;Walter Kellermann
声源定位和跟踪算法对于个人助理、智能家居、电话会议系统、助听器或自主系统等广泛应用至关重要。为此目的提出了许多算法，然而，迄今为止还没有使用一个共同的数据库对它们进行评估和相互比较。IEEE-AASP声源定位和跟踪挑战赛（LOCATA）为声源定位和跟踪的最新算法的客观基准测试提供了一个新颖、全面的数据语料库。数据语料库包括六个任务，从使用静态麦克风阵列定位单个静态声源到使用移动麦克风阵列跟踪多个移动扬声器。它包含真实世界的多声道音频记录，通过助听器获得，集成在机器人头部的麦克风，封闭声学环境中的平面和球形麦克风阵列，以及有关所涉及的阵列和声源的位置信息，由移动的人类说话者或静态扬声器表示。
Algorithms for acoustic source localization and tracking are essential for a wide range of applications such as personal assistants, smart homes, tele-conferencing systems, hearing aids, or autonomous systems. Numerous algorithms have been proposed for this purpose which, however, are not evaluated and compared against each other by using a common database so far. The IEEE-AASP Challenge on sound source localization and tracking (LOCATA) provides a novel, comprehensive data corpus for the objective benchmarking of state-of-the-art algorithms on sound source localization and tracking. The data corpus comprises six tasks ranging from the localization of a single static sound source with a static microphone array to the tracking of multiple moving speakers with a moving microphone array. It contains real-world multichannel audio recordings, obtained by hearing aids, microphones integrated in a robot head, a planar and a spherical microphone array in an enclosed acoustic environment, as well as positional information about the involved arrays and sound sources represented by moving human talkers or static loudspeakers.