Automated analysis of song structure in complex birdsongs

Ruse, Mareile Große; Hasselquist, Dennis; Hansson, Bengt; Tarka, Maja; Sandsten, Maria

doi:10.1016/j.anbehav.2015.11.013

Cited by 17 publications

(5 citation statements)

References 45 publications

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“…model and mimic) are becoming more sophisticated and accessible (e.g. Peters et al 2002;Haddad et al 2008;Troscianko & Stevens 2015;Große Ruse et al 2016). To determine whether measured differences or similarities in phenotypes inform receiver behaviours requires behavioural discrimination experiments, preferably conducted under natural conditions.…”

Section: Mimicry Is In the Mind Of The Receivermentioning

confidence: 99%

Mimicry for all modalities

Dalziell

Welbergen

2016

Ecology Letters

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Mimicry is a canonical example of adaptive signal design. In principle, what constitutes mimicry is independent of the taxonomic identity of the mimic, the ecological context in which it operates, and the sensory modality through which it is expressed. However, in practice the study of mimicry is inconsistent across research fields, with theoretical and empirical advances often failing to cross taxonomic and sensory divides. We propose a novel conceptual framework whereby mimicry evolves if a receiver perceives the similarity between a mimic and a model and as a result confers a selective benefit onto the mimic. Here, misidentification and/or deception are no longer formal requirements, and mimicry can evolve irrespective of the underlying proximate mechanisms. The centrality of receiver perception in this framework enables us to formally distinguish mimicry from perceptual exploitation and integrate mimicry and multicomponent signalling theory for the first time. In addition, it resolves inconsistencies in our understanding of the role of learning in mimicry evolution, and shows that imperfect mimicry is expected to be the norm. Mimicry remains a key model for understanding signal evolution and cognition, and we recommend the adoption of a unified approach to stimulate future interdisciplinary developments in this fascinating area of research.

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Section: Mimicry Is In the Mind Of The Receivermentioning

confidence: 99%

Mimicry for all modalities

Dalziell

Welbergen

2016

Ecology Letters

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“…Identifying the particular evolutionary contingencies, natural histories or selection pressures that lead to the dominance of one evolutionary process in signal evolution should be a major goal. In addition, future work, leveraging recent advances in automated spectral analysis (Ranjard & Ross, 2008;Große Ruse et al, 2016) and network motif approaches (Weiss et al, 2014) to analyse finer scale syllabic complexity, could provide further biologically…”

Section: Discussionmentioning

confidence: 99%

Global song divergence in barn swallows (Hirundo rustica): exploring the roles of genetic, geographical and climatic distance in sympatry and allopatry

Wilkins

Scordato

Semenov

et al. 2018

Biological Journal of the Linnean Society

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Divergence in acoustic signals plays an important role in the production and maintenance of biodiversity in numerous taxa. In this study, we assess patterns of acoustic divergence in geographically isolated and sympatric subspecies of barn swallows (Hirundo rustica), including analyses of whether song differentiation varies with geographical isolation, genetic distance and climatic distance. We provide the first description of geographical variation in song among five of six currently recognized barn swallow subspecies. Temporal traits describing terminal trills were the most distinct song traits among subspecies, adding to growing evidence that trills are important in speciation among many birds, insects and fish. Across a ~6000 km transect of Russia, acoustic distance was predicted by genetic and geographical distance, but not climatic distance. We also found no reproductive character displacement of song traits in a contact zone between H. r. rustica and H. r. tytleri. Based on patterns discovered in this study, we infer an important role of sexual selection, genetic and/or cultural drift in the gradual build-up of acoustic divergence, which is accelerated in small populations.

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“…Song analysis for the GRW has so far mainly been conducted manually, by listening and visually studying the syllable sonograms, [8], [9]. One of few successful attempts to automatically cluster the syllables of the GRW song has recently been made in [10], [11]. The features used for clustering are the first pair of singular vectors of the ambiguity function corresponding to a multitaper spectrogram.…”

Section: Introductionmentioning

confidence: 99%

Classification of bird song syllables using Wigner-Ville ambiguity function cross-terms

Sandsten

Brynolfsson

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-A novel feature extraction method for lowdimensional signal representation is presented. The features are useful for classification of non-stationary multi-component signals with stochastic variation in amplitudes and time-frequency locations. Using a penalty function to suppress the Wigner-Ville ambiguity function auto-terms, the proposed feature set is based on the cross-term doppler-and lag profiles. The investigation considers classification where strong similar components appear in all signals and where the differences between classes are related to weaker components. The approach is evaluated and compared with established methods for simulated data and bird song syllables of the great reed warbler. The results show that the novel feature extraction method gives a better classification than established methods used in bird song analysis.

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Automated analysis of song structure in complex birdsongs

Cited by 17 publications

References 45 publications

Mimicry for all modalities

Mimicry for all modalities

Global song divergence in barn swallows (Hirundo rustica): exploring the roles of genetic, geographical and climatic distance in sympatry and allopatry

Classification of bird song syllables using Wigner-Ville ambiguity function cross-terms

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