Literature DB >> 26733915

Corrigendum: Social coordination in animal vocal interactions. Is there any evidence of turn-taking? The starling as an animal model.

Laurence Henry1, Adrian J F K Craig2, Alban Lemasson3, Martine Hausberger1.   

Abstract

[This corrects the article on p. 1416 in vol. 6, PMID: 26441787.].

Entities:  

Keywords:  birdsong; conversation rules; mammals; sturnids; turn-taking; vocal interactions

Year:  2015        PMID: 26733915      PMCID: PMC4679869          DOI: 10.3389/fpsyg.2015.01924

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


Figure 3 of the article by Henry et al. (2015) contained a minor error, which we correct here.
Figure 3

Whistle sequences/warbling sequences ratio according to the number of nests per colony (. Starlings produce more discontinuous song (whistles) when the number of neighbors is high (dense colonies).

Whistle sequences/warbling sequences ratio according to the number of nests per colony (. Starlings produce more discontinuous song (whistles) when the number of neighbors is high (dense colonies). Figure captions 4, 5, and 12 contained minor errors, which we correct here. Figure 4. Song style of birds belonging to colonies of different sizes. Although the birds were recorded in very different conditions, a clear trend appeared toward an increase in whistling (hence discontinuous songs) and a decrease of warbling (hence continuous song) with increasing colony size (= number of neighbors). X: mean number of whistles per sequence (From Hausberger, 1997). Figure 5. Intervals separating two successive whistles produced by two different individuals during vocal interaction (overlap: when two whistles overlap). Most whistling exchanges show an interval of 2 s or less between the first and second whistle (arrow). Figure 12. Whistles of a male and a female : several birds singing together with their songs in overlap.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  1 in total

1.  Deep convolutional network for animal sound classification and source attribution using dual audio recordings.

Authors:  Tuomas Oikarinen; Karthik Srinivasan; Olivia Meisner; Julia B Hyman; Shivangi Parmar; Adrian Fanucci-Kiss; Robert Desimone; Rogier Landman; Guoping Feng
Journal:  J Acoust Soc Am       Date:  2019-02       Impact factor: 2.482

  1 in total

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