| Publication Type: | Conference Paper |
| Year of Publication: | 2019 |
| 著者: | Pessoa, Petrella, Castelo-Branco, Teixeira |
| エディタ: | Henriques, Neves, de Carvalho |
| Publisher: | Springer International Publishing |
| Conference Location: | Cham |
| ISBN Number: | 978-3-030-31634-1 |
| キーワード: | Rodents ultrasonic vocalizations, Signal processing, Signal segmentation, Spectral Entropy |
| 要約: | 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. |
| URL: | http://link.springer.com/10.1007/978-3-030-31635-8 |
| DOI: | 10.1007/978-3-030-31635-810.1007/978-3-030-31635-8_5 |
BioAcoustica ID:
57652
Taxonomic name: