Finding similar acoustic events using matching pursuit and locality-sensitive hashing
There are many applications for the ability to find repetitions of perceptually similar sound events in generic audio recordings. We explore the use of matching pursuit (MP) derived features to identify repeated patterns that characterize distinct acoustic events. We use locality-sensitive hashing (LSH) to efficiently search for similar items. We describe a method for detecting repetitions of events, and demonstrate performance on real data.