Literature DB >> 25428267

Acoustic sequences in non-human animals: a tutorial review and prospectus.

Arik Kershenbaum1,2, Daniel T Blumstein3, Marie A Roch4, Çağlar Akçay5, Gregory Backus6, Mark A Bee7, Kirsten Bohn8, Yan Cao9, Gerald Carter10, Cristiane Cäsar11, Michael Coen12, Stacy L DeRuiter13, Laurance Doyle14, Shimon Edelman15, Ramon Ferrer-i-Cancho16, Todd M Freeberg17, Ellen C Garland18, Morgan Gustison19, Heidi E Harley20, Chloé Huetz21, Melissa Hughes22, Julia Hyland Bruno23, Amiyaal Ilany1, Dezhe Z Jin24, Michael Johnson25, Chenghui Ju26, Jeremy Karnowski27, Bernard Lohr28, Marta B Manser29, Brenda McCowan30, Eduardo Mercado31,32, Peter M Narins33, Alex Piel34, Megan Rice35, Roberta Salmi36, Kazutoshi Sasahara37, Laela Sayigh38, Yu Shiu5, Charles Taylor3, Edgar E Vallejo39, Sara Waller40, Veronica Zamora-Gutierrez2,41.   

Abstract

Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well-known example of birdsong, other animals such as insects, amphibians, and mammals (including bats, rodents, primates, and cetaceans) also generate complex acoustic sequences. Occasionally, such as with birdsong, the adaptive role of these sequences seems clear (e.g. mate attraction and territorial defence). More often however, researchers have only begun to characterise - let alone understand - the significance and meaning of acoustic sequences. Hypotheses abound, but there is little agreement as to how sequences should be defined and analysed. Our review aims to outline suitable methods for testing these hypotheses, and to describe the major limitations to our current and near-future knowledge on questions of acoustic sequences. This review and prospectus is the result of a collaborative effort between 43 scientists from the fields of animal behaviour, ecology and evolution, signal processing, machine learning, quantitative linguistics, and information theory, who gathered for a 2013 workshop entitled, 'Analysing vocal sequences in animals'. Our goal is to present not just a review of the state of the art, but to propose a methodological framework that summarises what we suggest are the best practices for research in this field, across taxa and across disciplines. We also provide a tutorial-style introduction to some of the most promising algorithmic approaches for analysing sequences. We divide our review into three sections: identifying the distinct units of an acoustic sequence, describing the different ways that information can be contained within a sequence, and analysing the structure of that sequence. Each of these sections is further subdivided to address the key questions and approaches in that area. We propose a uniform, systematic, and comprehensive approach to studying sequences, with the goal of clarifying research terms used in different fields, and facilitating collaboration and comparative studies. Allowing greater interdisciplinary collaboration will facilitate the investigation of many important questions in the evolution of communication and sociality.
© 2014 Cambridge Philosophical Society.

Entities:  

Keywords:  Markov model; acoustic communication; information; information theory; machine learning; meaning; network analysis; sequence analysis; vocalisation

Mesh:

Year:  2014        PMID: 25428267      PMCID: PMC4444413          DOI: 10.1111/brv.12160

Source DB:  PubMed          Journal:  Biol Rev Camb Philos Soc        ISSN: 0006-3231


  165 in total

1.  An analysis of the organization of vocal communication in the titi monkey Callicebus moloch.

Authors:  J G Robinson
Journal:  Z Tierpsychol       Date:  1979-04

2.  Dynamic horizontal cultural transmission of humpback whale song at the ocean basin scale.

Authors:  Ellen C Garland; Anne W Goldizen; Melinda L Rekdahl; Rochelle Constantine; Claire Garrigue; Nan Daeschler Hauser; M Michael Poole; Jooke Robbins; Michael J Noad
Journal:  Curr Biol       Date:  2011-04-14       Impact factor: 10.834

3.  Syllable acoustics, temporal patterns, and call composition vary with behavioral context in Mexican free-tailed bats.

Authors:  Kirsten M Bohn; Barbara Schmidt-French; Sean T Ma; George D Pollak
Journal:  J Acoust Soc Am       Date:  2008-09       Impact factor: 1.840

4.  Understanding the intentional acoustic behavior of humpback whales: a production-based approach.

Authors:  Dorian Cazau; Olivier Adam; Jeffrey T Laitman; Joy S Reidenberg
Journal:  J Acoust Soc Am       Date:  2013-09       Impact factor: 1.840

5.  Call-note discriminations in black-capped chickadees (Poecile atricapillus).

Authors:  C B Sturdy; L S Phillmore; R G Weisman
Journal:  J Comp Psychol       Date:  2000-12       Impact factor: 2.231

6.  Syntactic structure and geographical dialects in the songs of male rock hyraxes.

Authors:  Arik Kershenbaum; Amiyaal Ilany; Leon Blaustein; Eli Geffen
Journal:  Proc Biol Sci       Date:  2012-04-18       Impact factor: 5.349

7.  Orienting asymmetries in rhesus monkeys: the effect of time-domain changes on acoustic perception.

Authors: 
Journal:  Anim Behav       Date:  1998-07       Impact factor: 2.844

8.  Perceptual mechanisms for individual vocal recognition in European starlings, Sturnus vulgaris.

Authors: 
Journal:  Anim Behav       Date:  1998-09       Impact factor: 2.844

9.  Songs of humpback whales.

Authors:  R S Payne; S McVay
Journal:  Science       Date:  1971-08-13       Impact factor: 47.728

10.  The whistles of Hawaiian spinner dolphins.

Authors:  Carmen Bazúa-Durán; Whitlow W L Au
Journal:  J Acoust Soc Am       Date:  2002-12       Impact factor: 1.840

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  46 in total

1.  New insights from female bird song: towards an integrated approach to studying male and female communication roles.

Authors:  Katharina Riebel; Karan J Odom; Naomi E Langmore; Michelle L Hall
Journal:  Biol Lett       Date:  2019-04-26       Impact factor: 3.703

2.  Linguistic laws of brevity: conformity in Indri indri.

Authors:  Daria Valente; Chiara De Gregorio; Livio Favaro; Olivier Friard; Longondraza Miaretsoa; Teresa Raimondi; Jonah Ratsimbazafy; Valeria Torti; Anna Zanoli; Cristina Giacoma; Marco Gamba
Journal:  Anim Cogn       Date:  2021-03-08       Impact factor: 3.084

3.  Thoughts About Disordered Thinking: Measuring and Quantifying the Laws of Order and Disorder.

Authors:  Brita Elvevåg; Peter W Foltz; Mark Rosenstein; Ramon Ferrer-I-Cancho; Simon De Deyne; Eduardo Mizraji; Alex Cohen
Journal:  Schizophr Bull       Date:  2017-05-01       Impact factor: 9.306

4.  Do penguins' vocal sequences conform to linguistic laws?

Authors:  Livio Favaro; Marco Gamba; Eleonora Cresta; Elena Fumagalli; Francesca Bandoli; Cristina Pilenga; Valentina Isaja; Nicolas Mathevon; David Reby
Journal:  Biol Lett       Date:  2020-02-05       Impact factor: 3.703

5.  Treefrogs exploit temporal coherence to form perceptual objects of communication signals.

Authors:  Saumya Gupta; Mark A Bee
Journal:  Biol Lett       Date:  2020-09-23       Impact factor: 3.703

6.  Cultural revolutions reduce complexity in the songs of humpback whales.

Authors:  Jenny A Allen; Ellen C Garland; Rebecca A Dunlop; Michael J Noad
Journal:  Proc Biol Sci       Date:  2018-11-21       Impact factor: 5.349

7.  Gelada vocal sequences follow Menzerath's linguistic law.

Authors:  Morgan L Gustison; Stuart Semple; Ramon Ferrer-I-Cancho; Thore J Bergman
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

8.  Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.

Authors:  Tim Sainburg; Marvin Thielk; Timothy Q Gentner
Journal:  PLoS Comput Biol       Date:  2020-10-15       Impact factor: 4.475

9.  Hierarchical temporal structure in music, speech and animal vocalizations: jazz is like a conversation, humpbacks sing like hermit thrushes.

Authors:  Christopher T Kello; Simone Dalla Bella; Butovens Médé; Ramesh Balasubramaniam
Journal:  J R Soc Interface       Date:  2017-10       Impact factor: 4.118

10.  All units are equal in humpback whale songs, but some are more equal than others.

Authors:  Eduardo Mercado; Christina E Perazio
Journal:  Anim Cogn       Date:  2021-08-06       Impact factor: 3.084

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