Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.1145/2393347.2396326 | ACM Multimedia 2001 |
Keywords | Field | DocType |
acoustical environment,location estimation,room identification system,speech signal,common content,music recommendation,emergency response system,acoustic feature,musical signal,reverberant audio sample,acoustical property | Computer vision,Video recording,Computer science,Identification system,Emergency response systems,Speech recognition,Artificial intelligence,Test data | Conference |
Citations | PageRank | References |
4 | 0.46 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nils Peters | 1 | 4 | 0.46 |
Howard Lei | 2 | 112 | 6.90 |
Gerald Friedland | 3 | 1127 | 96.23 |