Categorization of seismic sources by auditory display

摘要: Recordings of the Earth's surface oscillation as a function time (seismograms) can be sonified by compressing so that most signal's frequency spectrum falls in audible range. The pattern-recognition capabilities human auditory system then applied to analysis seismic data. In this experiment, we sonify set seismograms associated with magnitude-5.6 Oklahoma earthquake recorded at 17 broadband stations within radius ~300km from epicenter, and group volunteers listen our data via headphones. Most subjects have never heard seismogram before. Given lack studies on subject, prefer make no preliminary hypotheses categorization criteria employed listeners: follow "free categorization" approach, asking listeners simply sounds they perceive "similar." We find tend together sharing one or more underlying physical parameters, including source-receiver distance, azimuth, and, possibly, crustal structure between source receiver and/or receiver. This suggests that, if trained do so, recognize subtle features signals. It remains determined whether complement lead improvements upon standard visual computational approaches specific tasks geophysical interest. HighlightsSeismic is sonified.The resulting are presented listening task.Subjects sensitive some features.