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Automatic Segmentation of Ultrasonic Vocalizations in Rodents

  • Diogo PessoaEmail author
  • Lorena Petrella
  • Miguel Castelo-Branco
  • César Teixeira
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 76)

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 

Notes

Acknowledgments

This work was supported by FCT fellowship SFRH/BPD/112863/2015 to L.I.P and FLAD Life Sciences 2016, BIGDATIMAGE (CENTRO-01-0145-FEDER, 000016) to M.C.B.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Diogo Pessoa
    • 1
    Email author
  • Lorena Petrella
    • 2
    • 3
    • 4
    • 5
  • Miguel Castelo-Branco
    • 3
    • 4
    • 5
    • 6
  • César Teixeira
    • 1
  1. 1.Center for Informatics and Systems of the University of Coimbra, (CISUC)CoimbraPortugal
  2. 2.Department of Electrical and Computer Engineering (DEEC)University of CoimbraCoimbraPortugal
  3. 3.Institute of Nuclear Sciences Applied to Health (ICNAS)University of CoimbraCoimbraPortugal
  4. 4.Institute of Biomedical Imaging and Life Science (IBILI)University of CoimbraCoimbraPortugal
  5. 5.Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT)University of CoimbraCoimbraPortugal
  6. 6.Faculty of Medicine of the University of Coimbra (FMUC)CoimbraPortugal

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