In bioacoustic research a lot of signal parameters like the spectrogram, the sonogram, the periodogram, etc. can be analysed and used to classify the sounds of animals. The waveform contains a lot of information and characteristic features about the species. In automated classification of animal sounds different features are extracted from the time signal and artificial neural networks are utilized to classify these features. Some of these features can be used to classify the species, whereas others may be used to identify an individual animal. In context we study the problem of data fusion, decision fusion and temporal fusion.
Research directions in our department