Name that room: room identification using acoustic features in a recording

Authors:
Nils Peters;Howard Lei;Gerald Friedland
Affiliations:
International Computer Science Institute, Berkeley, CA, USA;International Computer Science Institute, Berkelely, CA, USA;International Computer Science Institute, Berkelely, CA, USA
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

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Abstract

This paper presents a system for identifying the room in an audio or video recording through the analysis of acoustical properties. The room identification system was tested using a corpus of 13440 reverberant audio samples. With no common content between the training and testing data, an accuracy of 61% for musical signals and 85% for speech signals was achieved. This approach could be applied in a variety of scenarios where knowledge about the acoustical environment is desired, such as location estimation, music recommendation, or emergency response systems.