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Bioacoustics
The International Journal of Animal Sound and its Recording
Volume 28, 2019 - Issue 4
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Original Articles

Spatially-mediated call pattern recognition and the cocktail party problem in treefrog choruses: can call frequency differences help during signal overlap?

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Pages 312-328 | Received 10 Nov 2017, Accepted 22 Jan 2018, Published online: 05 Mar 2018
 

Abstract

Male gray treefrogs, Hyla versicolor, advertise for mates in dense assemblages characterized by high levels of noise and acoustic clutter. In pairwise interactions, males alternate pulsatile advertisement calls and so reduce call overlap to levels below that expected by chance. However, in choruses consisting of more than two males, acoustic interference increases dramatically. Moreover, males do not seem to exhibit selective attention in a way that reduces call interference among nearest neighbours. Previous research has also demonstrated that although females discriminate strongly against overlapped calls, negative effects of call overlap can be attenuated by a large angular separation between signal sources. However, call stimuli employed were identical in spectrum and so this situation differs from that likely in nature. Based on studies of ‘auditory stream segregation’ with other taxa, we hypothesized that realistic differences in the frequencies of overlapping calls could improve the ability of females to discern critical call features during overlap of separated call sources. We found that, although, under some circumstances, differences in call frequency may help females distinguish among neighbouring males giving temporally proximate calls, naturalistic spectral differences do not seem to help females perceptually separate the overlapping calls of neighbouring conspecific males.

Acknowledgements

We thank Michael Disimone, Xiaoliang Yang, Christie Powers, Stephen Sizensky, Reginald Jemison, Kirsanov Charles, Stacy Thomas, Nicholas Mazzucca, Ruchi Sheth, Jason Herde, Norman Sanchez, Christine Elezaj, Katherine Cordero, David Johnson, Patrycja Dziuba, Sandra Gomes, Alena Al-Bochi Mazie, Noah Davis, Omar Neyra and Corey Ng for help in the lab and field.

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