Detecting vocalizations of individual monkeys in social groups

Alireza Bayestehtashk, Izhak Shafran, Kristine Coleman, Nicola Robertson

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Vocalization is an important clue in recognizing monkeys' behaviors. Previous studies have shown that the frequencies, the types and the lengths of vocalizations reveal significant information about social interactions in a group of monkeys. In this work, we describe a corpus of monkey vocalizations, recorded from Oregon National Primate Research Center with the goal of developing automatic methods for recognizing social behaviors of individuals in groups. The constraints of the problem necessitated using tiny low-power recorders, mounted on their collars. The recordings from each monkeys' recorder nonetheless contains vocalizations from not only the monkey wearing the recorder but also its spatial neighbors. The devices recorded vocalizations for two consecutive days, 12 hours each day, from each monkey in the group. Like in sensor networks, low power recorders are unreliable and have sample loss over long durations. Furthermore, the recordings contain high-levels of background noise, including clanging of metal collars against cages and conversations of caretakers. These practical issues poses an interesting challenge in processing the recordings. In this paper, we investigate our automated approaches to process the data efficiently, detect the vocalizations and align the recordings from the same sessions.

    Original languageEnglish (US)
    Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4775-4779
    Number of pages5
    ISBN (Electronic)9781424479290
    DOIs
    StatePublished - Nov 2 2014
    Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
    Duration: Aug 26 2014Aug 30 2014

    Publication series

    Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

    Other

    Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
    CountryUnited States
    CityChicago
    Period8/26/148/30/14

    ASJC Scopus subject areas

    • Health Informatics
    • Computer Science Applications
    • Biomedical Engineering
    • Medicine(all)

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  • Cite this

    Bayestehtashk, A., Shafran, I., Coleman, K., & Robertson, N. (2014). Detecting vocalizations of individual monkeys in social groups. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 4775-4779). [6944692] (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6944692