Just want to stress that my algorithm for detecting events is
extremely basic at this point. It should help you pinpoint "quiet" areas in the waveform but that's about it.
My priority (re event detection) is to decode the recorded of events from the files directly. It will always be valuable to know what the machine itself has deemed to be an event.
Then, I would also like to be able to incorporate other researchers' event detection algorithms to this data, so that users can choose which model they would like to work with. While I believe the machine no doubt does an excellent job detecting various events, there is almost certainly new research and methods out there that could be used to improve detection.
But I likely will not spend much time on improving my own event detection algorithm because a) it would be at the expense of time used to decode the files which I feel is more urgent and b) I am entirely lacking in such expertise
I hope that others who are interested can help out in this regard though. If anyone out there is interested, you can sign up as a contributor at the project page at
http://sourceforge.net/projects/onkor/
Thanks again to all who have been contributing their time and thoughts on this board and by submitting their test data.