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Semantic Browsing of Sound Databases without Keywords

机译:没有关键字的声音数据库的语义浏览

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In this paper we study the relevance of a semantic organization of sounds to ease the browsing of a sound database. For such a task semantic access to data is traditionally implemented by a keyword selection process. However, various limitations of written language, such as word polysemy, ambiguities, or translation issues may bias the browsing process. We present and study the efficiency of two sound presentation strategies that organize sounds spatially so as to reflect an underlying semantic hierarchy. For the sake of comparison, we also consider a display whose spatial organization is only based on acoustic cues. Those three displays are evaluated in terms of search speed in a crowdsourcing experiment using two different corpora: the first is composed of environmental sounds from urban environments and the second of sounds produced by musical instruments. Coherent results achieved by considering the two different corpora demonstrate the usefulness of using an implicit semantic organization to display sounds, both in terms of search speed and of learning efficiency.
机译:在本文中,我们研究了声音的语义组织的相关性,以简化声音数据库的浏览。对于这样的任务,传统上通过关键字选择过程来实现对数据的语义访问。但是,书面语言的各种限制(例如单词多义性,歧义性或翻译问题)可能会影响浏览过程。我们提出并研究了两种声音表示策略的效率,这些策略在空间上组织声音以反映基本的语义层次。为了进行比较,我们还考虑了一种显示器,其空间组织仅基于声音提示。在使用两种不同语料的众包实验中,以搜索速度评估了这三种显示:第一种由城市环境发出的环境声音组成,第二种由乐器产生的声音组成。通过考虑两个不同的语料库获得的连贯结果证明,在搜索速度和学习效率方面,使用隐式语义组织来显示声音都是有用的。

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