Presentations (Communicative Events)

Fingerprinting to Identify Repeated Sound Events in Long-Duration Personal Audio Recordings

Ogle, James P.; Ellis, Daniel P. W.

Body-worn audio recorders can collect huge "personal audio" archives of everything heard by the user, but navigating this data is a challenge. We investigate a noise-resistant audio fingerprint as a way to identify recurrent sound events. The fingerprint works well for data that is highly repeatable (e.g. phone rings) but not for more "organic" sounds (door closures etc.).

Subjects

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  • thumnail for icassp07-fprint-poster.pdf icassp07-fprint-poster.pdf application/pdf 2.5 MB

More About This Work

Academic Units
Electrical Engineering
Published Here
July 13, 2012

Notes

Presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hi., April 15-20, 2007.