文章基本信息

标题：Sound-Environment Monitoring Method Based on Computational Auditory Scene Analysis
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作者：Mitsuru Kawamoto
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2017
卷号：08
期号：02
页码：65-77
DOI：10.4236/jsip.2017.82005
语种：English
出版社：Scientific Research Publishing
摘要：Monitoring techniques are a key technology for examining the conditions in various scenarios, e.g., structural conditions, weather conditions, and disasters. In order to understand such scenarios, the appropriate extraction of their features from observation data is important. This paper proposes a monitoring method that allows sound environments to be expressed as a sound pattern. To this end, the concept of synesthesia is exploited. That is, the keys, tones, and pitches of the monitored sound are expressed using the three elements of color, that is, the hue, saturation, and brightness, respectively. In this paper, it is assumed that the hue, saturation, and brightness can be detected from the chromagram, sonogram, and sound spectrogram, respectively, based on a previous synesthesia experiment. Then, the sound pattern can be drawn using color, yielding a “painted sound map.” The usefulness of the proposed monitoring technique is verified using environmental sound data observed at a galleria.
关键词：Sound-Environment Visualization;Environmental Sounds;Monitoring;Painted Sound Patterns;Synesthesia