@conference {57652, title = {Automatic Segmentation of Ultrasonic Vocalizations in Rodents}, year = {2019}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {

Ultrasonic vocalizations studies in rodents have increasingly drawn researchers attention as it have been considered a powerful tool to understand the animals behavior and their interactions in different social and environmental contexts.

This paper presents an entropy-based algorithm for accurate and robust segmentation of mouse ultrasonic calls. Instead of using the conventional energy-based features, the spectral entropy is developed to identify the audio segments accurately. The new approach for mice calls detection has been able to detect up to 97\% of the vocalizations.

}, keywords = {Rodents ultrasonic vocalizations, Signal processing, Signal segmentation, Spectral Entropy}, isbn = {978-3-030-31634-1}, doi = {10.1007/978-3-030-31635-810.1007/978-3-030-31635-8_5}, url = {http://link.springer.com/10.1007/978-3-030-31635-8}, author = {Pessoa, Diogo and Petrella, Lorena and Castelo-Branco, Miguel and Teixeira, C{\'e}sar}, editor = {Henriques, Jorge and Neves, Nuno and de Carvalho, Paulo} } @proceedings {57606, title = {Automatic Segmentation of Ultrasonic Vocalizations in Rodents}, year = {2019}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {

Ultrasonic vocalizations studies in rodents have increasingly drawn researchers attention as it have been considered a powerful tool to understand the animals behavior and their interactions in different social and environmental contexts.

This paper presents an entropy-based algorithm for accurate and robust segmentation of mouse ultrasonic calls. Instead of using the conventional energy-based features, the spectral entropy is developed to identify the audio segments accurately. The new approach for mice calls detection has been able to detect up to 97\% of the vocalizations.

}, isbn = {978-3-030-31634-1}, doi = {10.1007/978-3-030-31635-810.1007/978-3-030-31635-8_5}, url = {http://link.springer.com/10.1007/978-3-030-31635-8}, author = {Pessoa, Diogo and Petrella, Lorena and Castelo-Branco, Miguel and Teixeira, C{\'e}sar}, editor = {Henriques, Jorge and Neves, Nuno and de Carvalho, Paulo} }