A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software HARK

Reiji Suzuki, Shiho Matsubayashi, Fumiyuki Saito, Tatsuyoshi Murate, Tomohisa Masuda, Koichi Yamamoto, Ryosuke Kojima, Kazuhiro Nakadai, Hiroshi G. Okuno

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    Acoustic interactions are important for understanding intra- and interspecific communication in songbird communities from the viewpoint of soundscape ecology. It has been suggested that birds may divide up sound space to increase communication efficiency in such a manner that they tend to avoid overlap with other birds when they sing. We are interested in clarifying the dynamics underlying the process as an example of complex systems based on short-term behavioral plasticity. However, it is very problematic to manually collect spatiotemporal patterns of acoustic events in natural habitats using data derived from a standard single-channel recording of several species singing simultaneously. Our purpose here was to investigate fine-scale spatiotemporal acoustic interactions of the great reed warbler. We surveyed spatial and temporal patterns of several vocalizing color-banded great reed warblers (Acrocephalus arundinaceus) using an open-source software for robot audition HARK (Honda Research Institute Japan Audition for Robots with Kyoto University) and three new 16-channel, stand-alone, and water-resistant microphone arrays, named DACHO spread out in the bird's habitat. We first show that our system estimated the location of two color-banded individuals’ song posts with mean error distance of 5.5 ± 4.5 m from the location of observed song posts. We then evaluated the temporal localization accuracy of the songs by comparing the duration of localized songs around the song posts with those annotated by human observers, with an accuracy score of average 0.89 for one bird that stayed at one song post. We further found significant temporal overlap avoidance and an asymmetric relationship between songs of the two singing individuals, using transfer entropy. We believe that our system and analytical approach contribute to a better understanding of fine-scale acoustic interactions in time and space in bird communities.

    Original languageEnglish
    Pages (from-to)812-825
    Number of pages14
    JournalEcology and Evolution
    Volume8
    Issue number1
    DOIs
    Publication statusPublished - 2018 Jan 1

    Fingerprint

    spatiotemporal analysis
    robots
    song
    animal communication
    acoustics
    software
    bird
    birds
    communication
    songbird
    habitat
    reed
    Acrocephalus arundinaceus
    color
    entropy
    plasticity
    songbirds
    habitats
    vocalization
    space and time

    Keywords

    • HARK
    • microphone array
    • robot audition
    • soundscape partitioning
    • the great reed warbler
    • transfer entropy

    ASJC Scopus subject areas

    • Ecology, Evolution, Behavior and Systematics
    • Ecology
    • Nature and Landscape Conservation

    Cite this

    A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software HARK. / Suzuki, Reiji; Matsubayashi, Shiho; Saito, Fumiyuki; Murate, Tatsuyoshi; Masuda, Tomohisa; Yamamoto, Koichi; Kojima, Ryosuke; Nakadai, Kazuhiro; Okuno, Hiroshi G.

    In: Ecology and Evolution, Vol. 8, No. 1, 01.01.2018, p. 812-825.

    Research output: Contribution to journalArticle

    Suzuki, Reiji ; Matsubayashi, Shiho ; Saito, Fumiyuki ; Murate, Tatsuyoshi ; Masuda, Tomohisa ; Yamamoto, Koichi ; Kojima, Ryosuke ; Nakadai, Kazuhiro ; Okuno, Hiroshi G. / A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software HARK. In: Ecology and Evolution. 2018 ; Vol. 8, No. 1. pp. 812-825.
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    abstract = "Acoustic interactions are important for understanding intra- and interspecific communication in songbird communities from the viewpoint of soundscape ecology. It has been suggested that birds may divide up sound space to increase communication efficiency in such a manner that they tend to avoid overlap with other birds when they sing. We are interested in clarifying the dynamics underlying the process as an example of complex systems based on short-term behavioral plasticity. However, it is very problematic to manually collect spatiotemporal patterns of acoustic events in natural habitats using data derived from a standard single-channel recording of several species singing simultaneously. Our purpose here was to investigate fine-scale spatiotemporal acoustic interactions of the great reed warbler. We surveyed spatial and temporal patterns of several vocalizing color-banded great reed warblers (Acrocephalus arundinaceus) using an open-source software for robot audition HARK (Honda Research Institute Japan Audition for Robots with Kyoto University) and three new 16-channel, stand-alone, and water-resistant microphone arrays, named DACHO spread out in the bird's habitat. We first show that our system estimated the location of two color-banded individuals’ song posts with mean error distance of 5.5 ± 4.5 m from the location of observed song posts. We then evaluated the temporal localization accuracy of the songs by comparing the duration of localized songs around the song posts with those annotated by human observers, with an accuracy score of average 0.89 for one bird that stayed at one song post. We further found significant temporal overlap avoidance and an asymmetric relationship between songs of the two singing individuals, using transfer entropy. We believe that our system and analytical approach contribute to a better understanding of fine-scale acoustic interactions in time and space in bird communities.",
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