Giordano Bruno L, de Miranda Azevedo Ricardo, Plasencia-Calaña Yenisel, Formisano Elia, Dumontier Michel
Institut des Neurosciences de La Timone, CNRS UMR 7289 - Université Aix-Marseille, Marseille, France.
Faculty of Science and Engineering, Institute of Data Science, Maastricht University, Maastricht, Netherlands.
Front Psychol. 2022 Sep 29;13:964209. doi: 10.3389/fpsyg.2022.964209. eCollection 2022.
Taxonomies and ontologies for the characterization of everyday sounds have been developed in several research fields, including auditory cognition, soundscape research, artificial hearing, sound design, and medicine. Here, we surveyed 36 of such knowledge organization systems, which we identified through a systematic literature search. To evaluate the semantic domains covered by these systems within a homogeneous framework, we introduced a comprehensive set of verbal sound descriptors (sound source properties; attributes of sensation; sound signal descriptors; onomatopoeias; music genres), which we used to manually label the surveyed descriptor classes. We reveal that most taxonomies and ontologies were developed to characterize higher-level semantic relations between sound sources in terms of the sound-generating objects and actions involved (what/how), or in terms of the environmental context (where). This indicates the current lack of a comprehensive ontology of everyday sounds that covers simultaneously all semantic aspects of the relation between sounds. Such an ontology may have a wide range of applications and purposes, ranging from extending our scientific knowledge of auditory processes in the real world, to developing artificial hearing systems.
用于描述日常声音特征的分类法和本体论已在多个研究领域得到发展,包括听觉认知、声景研究、人工听觉、声音设计和医学。在此,我们调查了36个这样的知识组织系统,这些系统是我们通过系统的文献检索确定的。为了在一个统一的框架内评估这些系统所涵盖的语义领域,我们引入了一套全面的语音描述符(声源属性;感觉属性;声音信号描述符;拟声词;音乐流派),并用其对手动标记的被调查描述符类别进行标注。我们发现,大多数分类法和本体论都是为了根据所涉及的发声对象和动作(什么/如何)或环境背景(哪里)来描述声源之间的高级语义关系而开发的。这表明目前缺乏一个全面的日常声音本体论,无法同时涵盖声音之间关系的所有语义方面。这样的本体论可能有广泛的应用和用途,从扩展我们对现实世界中听觉过程的科学认识,到开发人工听觉系统。