Presentation Details
| Data processing decisions affect detection of individual variation in parrot calls Grace Smith-Vidaurre1, 2, 3, Brittany A.Coppinger1, 3, Madison Honore2, Elizabeth A.Hobson4. 1Department of Integrative Biology, Michigan State University, East Lansing, MI, USA.2Department of Computational Mathematics, Science, and Engineering, Michigan State University, East Lansing, MI, USA.3Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA.4Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA |
Abstract
Vocal learning species can use vocalizations to transmit identity information. The ways vocal identity information is encoded can provide insight into the ecological and evolutionary processes that shape communication systems. However, whether identity information can be computationally detected may vary across data processing decisions. It is critical to address how such decisions affect identity information detection. We individually recorded captive feral-caught monk parakeets (Myiopsitta monachus) to obtain contact calls. We manually selected calls recorded from 44 birds and applied a computational pipeline to test how two data processing decisions impacted our detection of individual vocal information. First, we assessed the impact of quantitative categorizations of contact calls and structurally dissimilar calls. Second, we assessed how approaches to evenly sample contact calls across individuals impacted comparisons of vocal variation and consistency. Our results suggest that findings of individual vocal variation and consistency can be both sensitive and robust to data processing decisions, providing important considerations for future studies on vocal information encoding.
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
Content Locked. Log into a registered attendee account to access this presentation.