Ogle James P. author Columbia University. Electrical Engineering Ellis Daniel P. W. author Columbia University. Electrical Engineering Columbia University. Electrical Engineering originator text Presentations 2007 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.). Presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hi., April 15-20, 2007. Artificial intelligence Electrical engineering http://hdl.handle.net/10022/AC:P:14040 English NNC NNC 2012-07-13 15:05:57 -0400 2012-07-13 15:08:54 -0400 8044 eng