Software for the Analysis of Species-Specific Vocalizations
Daniel Šuta,
Martin Komárek,
Milan Jilek,
Josef Syka
Affiliations
Daniel Šuta
Academy of Sciences of the Czech Republic, Institute of Experimental Medicine, Department of Auditory Neuroscience, Prague, Czech Republic; Charles University in Prague, 3rd Faculty of Medicine, Institute of Medical Biophysics and Informatics, Prague, Czech Republic
Martin Komárek
Czech Technical University, Faculty of Electrical Engineering, Department of Cybernetics, Prague, Czech Republic
Milan Jilek
Academy of Sciences of the Czech Republic, Institute of Experimental Medicine, Department of Auditory Neuroscience, Prague, Czech Republic
Josef Syka
Academy of Sciences of the Czech Republic, Institute of Experimental Medicine, Department of Auditory Neuroscience, Prague, Czech Republic
Vocalization calls are behaviorally relevant complex sounds that typically contain several harmonics and show frequency and amplitude modulation. In this paper, an introduction to a software tool for the analysis of species-specific vocalizations is presented. The algorithm automatically or under user supervision detects time-varying amplitude and frequency parameters, which can serve for the statistical analysis of calls or as the substrate for the manipulation and synthesis of artificial calls. The described program and its results will be used in studying the representation of complex sounds in the central nervous system.