The focus of this project is sound identification of birds, more specifically loons, through their calls or songs. There are many methods of sound identification that exist today, but most of them are constrained by the fact that they either require individuals to have similar calltypes or do not take into account the change in vocal characteristics over time. Also, there is some loss in accuracy due to background noise or varying degrees of recording quality. There was some interesting research published that applied human-speech recognition methods for classification of birds to some success, but even this was limited by its lack of temporal stability. Another interesting characteristic of the loons is that their call (or song) changes with a change in location. The objective is to determine a scheme of sound identification for loon individuals with feature extraction that is stable over time and location, which would greatly increase the ease with which these birds are studied.
Full report (pdf)
ECE day poster