Novel algorithm reveals birdsong features that may be key for courtship

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Findings highlight potential for “bottom-up” approaches to drive discovery in vocal communication

Researchers have developed a new algorithm capable of identifying features of male zebra finch songs that may underlie the distinction between a short phrase sung during courtship, and the same phrase sung in a non-courtship context. Sarah Woolley of McGill University in Montreal, Canada, and colleagues present these findings in the open-access journal PLOS Computational Biology.

Like many animals, male zebra finches adjust their vocal signals for their audience. They may sing the same sequence of syllables during courtship interactions with females as when singing alone, but with subtle modifications. However, humans cannot detect these differences, and it was not clear that female zebra finches could, either.

For the new study, Woolley and colleagues first conducted behavioral experiments demonstrating that female zebra finches are indeed highly adept at discriminating between short segments of males’ songs recorded in courtship versus non-courtship settings.

Next, they sought to expand on earlier studies that have focused on just a few specific song features that may underlie the distinction between courtship and non-courtship song. Taking a “bottom-up” approach, the researchers extracted over 5,000 song features from recordings and trained an algorithm to use those features to distinguish between courtship and non-courtship song phrases.

The trained algorithm uncovered features that may be key for song perception, some of which had not been identified previously. It also made predictions about the distinction capabilities of female zebra finches that aligned well with the results of the behavioral experiments.

These findings highlight the potential for bottom-up approaches to reveal acoustic features important for communication and social discrimination.

“As vocal communicators ourselves, we have a tendency to focus on aspects of communication signals that are salient to us,” Woolley says. “Using our bottom-up approach, we identified features that might never have been on our radar.”

Next, the researchers plan to test whether manipulating the acoustic features they discovered alters what female finches think about those songs. They also hope to evaluate how well their findings might generalize to courtship and non-courtship songs in other species.

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Peer-reviewed; Simulation / modelling; Experimental study ; Animals

In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology:

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008820

Citation: Paul A, McLendon H, Rally V, Sakata JT, Woolley SC (2021) Behavioral discrimination and time-series phenotyping of birdsong performance. PLoS Comput Biol 17(4): e1008820. https://doi.org/10.1371/journal.pcbi.1008820

Funding: This work was funded by grants from the National Science and Engineering Council of Canada (RGPIN 2018-05267 to SCW; RGPIN 2016-05016 to JTS; https://www.nserc-crsng.gc.ca/index_eng.asp), the Fonds de recherche Nature et Technologies (206494 SCW; http://www.frqnt.gouv.qc.ca/en/accueil), and the Canadian Foundation for Innovation Canadian Foundation for Innovation (27936 to JTS; https://www.innovation.ca/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

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http://dx.doi.org/10.1371/journal.pcbi.1008820

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