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

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.

[1]  Anssi Klapuri,et al.  State of the Art Report: Audio-Based Music Structure Analysis , 2010, ISMIR.

[2]  Eduardo Mercado,et al.  Understanding the structure of humpback whale songs (L). , 2012, The Journal of the Acoustical Society of America.

[3]  J. Cynx,et al.  Experimental determination of a unit of song production in the zebra finch (Taeniopygia guttata). , 1990, Journal of comparative psychology.

[4]  Karin Isler,et al.  Wild Orangutan Males Plan and Communicate Their Travel Direction One Day in Advance , 2013, PloS one.

[5]  Hsieh Fushing,et al.  Time, temperature, and data cloud geometry. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  D. Irwin,et al.  SONG VARIATION IN AN AVIAN RING SPECIES , 2000, Evolution; international journal of organic evolution.

[7]  P. Slater,et al.  Bird Song: Biological Themes and Variations , 1995 .

[8]  Kimberly A. Pollard,et al.  Evolving communicative complexity: insights from rodents and beyond , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[9]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[10]  D. Parejo,et al.  Alarm calls modulate the spatial structure of a breeding owl community , 2012, Proceedings of the Royal Society B: Biological Sciences.

[11]  D. K. Caldwell,et al.  Individualized Whistle Contours in Bottle-nosed Dolphins (Tursiops truncatus) , 1965, Nature.

[12]  Christopher D. Manning,et al.  Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..

[13]  D. Irwin,et al.  Cryptic speciation in a Holarctic passerine revealed by genetic and bioacoustic analyses , 2008, Molecular ecology.

[14]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[15]  Rebecca A. Dunlop,et al.  Songs of male humpback whales, Megaptera novaeangliae, are involved in intersexual interactions , 2008, Animal Behaviour.

[16]  Walter Zucchini,et al.  Series of Seminars: Hidden Markov Models for Time Series , 2013 .

[17]  Tobias Riede,et al.  Vocal production mechanisms in a non-human primate: morphological data and a model. , 2005, Journal of human evolution.

[18]  Lars Kindermann,et al.  Detection of Leopard seal (Hydrurga leptonyx) vocalizations using the Envelope-Spectrogram Technique (tEST) in combination with a Hidden Markov Model , 2008 .

[19]  J. Hare,et al.  Neighbourhood watch: multiple alarm callers communicate directional predator movement in Richardson’s ground squirrels, Spermophilus richardsonii , 2010, Animal Behaviour.

[20]  Roberta Salmi,et al.  Western Gorilla Vocal Repertoire and Contextual Use of Vocalizations , 2013 .

[21]  Sidarta Ribeiro,et al.  Toward a Song Code Evidence for a Syllabic Representation in the Canary Brain , 1998, Neuron.

[22]  Jack Parker Hailman,et al.  Coding and Redundancy: Man-Made and Animal-Evolved Signals , 2008 .

[23]  Janice C. Daniel,et al.  Reliability and the adaptive utility of discrimination among alarm callers , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[24]  W. Au,et al.  The whistles of Hawaiian spinner dolphins. , 2002, The Journal of the Acoustical Society of America.

[25]  Timothy Q. Gentner,et al.  Recursive syntactic pattern learning by songbirds , 2006, Nature.

[26]  Marcio R. Pie,et al.  The structure of an avian syllable syntax network , 2014, Behavioural Processes.

[27]  Carel ten Cate,et al.  The interobserver reliability of scoring sonagrams by eye: a study on methods, illustrated on zebra finch songs , 2001, Animal Behaviour.

[28]  E. Ross The Organization of Will , 1916, American Journal of Sociology.

[29]  C. Hartshorne The Monotony-Threshold in Singing Birds , 1956 .

[30]  David W. Stephens,et al.  Animal Communication Theory: Information and Influence , 2011 .

[31]  P. Tyack,et al.  Differential response of humpback whales, Megaptera novaeangliae, to playback of song or social sounds , 1983, Behavioral Ecology and Sociobiology.

[32]  Amiyaal Ilany,et al.  The energy cost of singing in wild rock hyrax males: evidence for an index signal , 2013, Animal Behaviour.

[33]  J. Lauga,et al.  Perceptual salience of individually distinctive features in the calls of adult king penguins. , 2000, The Journal of the Acoustical Society of America.

[34]  A. Vespignani,et al.  The architecture of complex weighted networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[35]  Charles Hartshorne Born to sing: an interpretation and world survey of bird song , 1973 .

[36]  Kazuo Okanoya,et al.  Birdsong neurolinguistics: songbird context-free grammar claim is premature , 2012, Neuroreport.

[37]  Daniel T. Blumstein,et al.  Golden-marmot alarm calls. II: Asymmetrical production and perception of situationally specific vocalizations ? , 2010 .

[38]  Kirsten M Bohn,et al.  Syllable acoustics, temporal patterns, and call composition vary with behavioral context in Mexican free-tailed bats. , 2008, The Journal of the Acoustical Society of America.

[39]  E. Geffen,et al.  Individual identity is communicated through multiple pathways in male rock hyrax (Procavia capensis) songs , 2011, Behavioral Ecology and Sociobiology.

[40]  Ellen C. Garland,et al.  Dynamic Horizontal Cultural Transmission of Humpback Whale Song at the Ocean Basin Scale , 2011, Current Biology.

[41]  R. Lachlan,et al.  Accuracy of song syntax learning and singing consistency signal early condition in zebra finches , 2008 .

[42]  Bernard Lohr,et al.  The function of song types and song components in Grasshopper Sparrows (Ammodramus savannarum) , 2013 .

[43]  Khaled H. Hamed,et al.  Time-frequency analysis , 2003 .

[44]  C. K. Ogden,et al.  The Meaning of Meaning , 1923 .

[45]  Alexander Clark Towards General Algorithms for Grammatical Inference , 2010, ALT.

[46]  R. Wyttenbach,et al.  Categorical Perception of Sound Frequency by Crickets , 1996, Science.

[47]  Anastasia H Dalziell,et al.  Song matching, overlapping, and switching in the banded wren: the sender's perspective. , 2007, Behavioral ecology : official journal of the International Society for Behavioral Ecology.

[48]  T. Griffiths,et al.  What is an auditory object? , 2004, Nature Reviews Neuroscience.

[49]  Philip K. Stoddard,et al.  Song perception in the song sparrow: importance of different parts of the song in song type classification , 2010 .

[50]  An Ji,et al.  Discrimination of individual tigers (Panthera tigris) from long distance roars. , 2013, The Journal of the Acoustical Society of America.

[51]  R. Byrne,et al.  Titi monkey call sequences vary with predator location and type , 2013, Biology Letters.

[52]  W. Searcy Song repertoire and mate choice in birds , 1992 .

[53]  S. Shen-Orr,et al.  Network motifs: simple building blocks of complex networks. , 2002, Science.

[54]  T. W. Anderson,et al.  Statistical Inference about Markov Chains , 1957 .

[55]  C. Hartshorne,et al.  Born to Sing , 1974 .

[56]  P. Marler,et al.  Innate differences in singing behaviour of sparrows reared in isolation from adult conspecific song , 1985, Animal Behaviour.

[57]  M. Eens Understanding the complex song of the European starling: an integrated ethological approach , 1997 .

[58]  Roger Mundry,et al.  Song repertoire size is correlated with body measures and arrival date in common nightingales, Luscinia megarhynchos , 2006, Animal Behaviour.

[59]  Joseph A. Tobias,et al.  Song divergence at the edge of Amazonia: an empirical test of the peripatric speciation model , 2007 .

[60]  D. M. Hutton,et al.  Coding and Redundancy: Man‐made and Animal‐evolved Signals , 2009 .

[61]  George Kingsley Zipf,et al.  Human behavior and the principle of least effort , 1949 .

[62]  Raymond L. Neubauer,et al.  Super-normal length song preferences of female zebra finches (Taeniopygia guttata) and a theory of the evolution of bird song , 1999, Evolutionary Ecology.

[63]  M. Eens,et al.  TEMPORAL AND SEQUENTIAL ORGANISATION OF SONG BOUTS IN THE STARLING , 1988 .

[64]  Ann V. Hedrick,et al.  Acoustic Communication in Insects and Anurans: Common Problems and Diverse Solutions , 2002 .

[65]  J. Mitani,et al.  Geographic variation in the calls of wild chimpanzees: A reassessment , 1999, American journal of primatology.

[66]  Arik Kershenbaum,et al.  An image processing based paradigm for the extraction of tonal sounds in cetacean communications. , 2013, The Journal of the Acoustical Society of America.

[67]  Eduardo Mercado,et al.  Sound production by singing humpback whales. , 2010, The Journal of the Acoustical Society of America.

[68]  P. Marler,et al.  Quantitative Analysis of Animal Vocal Phonology: an Application to Swamp Sparrow Song , 2010 .

[69]  Y. Cohen,et al.  The what, where and how of auditory-object perception , 2013, Nature Reviews Neuroscience.

[70]  Korbinian Strimmer,et al.  Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks , 2008, J. Mach. Learn. Res..

[71]  J J Rosowski,et al.  Acoustic Mechanisms , 1998, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[72]  Arik Kershenbaum,et al.  Entropy rate as a measure of animal vocal complexity , 2014 .

[73]  R. Payne,et al.  Songs of Humpback Whales , 1971, Science.

[74]  Alexander Renkl,et al.  Toward an Instructionally Oriented Theory of Example-Based Learning , 2014, Cogn. Sci..

[75]  R L Marsh,et al.  In vivo performance of trunk muscles in tree frogs during calling. , 1997, The Journal of experimental biology.

[76]  P. Marler,et al.  Species-universal microstructure in the learned song of the swamp sparrow (Melospiza georgiana) , 1984, Animal Behaviour.

[77]  C. Boesch,et al.  Call combinations in wild chimpanzees , 2005 .

[78]  Peter Marler,et al.  How Do Birds Sing , 1988 .

[79]  R. Seyfarth,et al.  Production, usage, and comprehension in animal vocalizations , 2010, Brain and Language.

[80]  D. Mennill,et al.  Overlapping and matching in the song contests of black-capped chickadees , 2004, Animal Behaviour.

[81]  John A. Wiens,et al.  SONG PATTERN VARIATION IN THE SAGE SPARROW (AMPHISPIZA BELLI): DIALECTS OR EPIPHENOMENA? , 1982 .

[82]  P. M. Narins,et al.  Hyperextended call note repertoire of the endemic Madagascar treefrog Boophis madagascariensis (Rhacophoridae) , 2000 .

[83]  Anjan Chatterjee,et al.  A Madness to the Methods in Cognitive Neuroscience? , 2005, Journal of Cognitive Neuroscience.

[84]  David Rothenberg,et al.  Investigation of musicality in birdsong , 2014, Hearing Research.

[85]  Joseph Picone,et al.  Information theoretic approaches to model selection , 1998, ICSLP.

[86]  Robert M. Seyfarth,et al.  Primate social cognition and the origins of language , 2005, Trends in Cognitive Sciences.

[87]  James H. Martin,et al.  Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition , 2000 .

[88]  D. R. Ragge,et al.  The songs and taxonomy of the grasshoppers of the Chorthippus biguttulus group in the Iberian Peninsula (Orthoptera; Acrididae) , 1988 .

[89]  Brandon C. Wheeler Decrease in Alarm Call Response Among Tufted Capuchins in Competitive Feeding Contexts: Possible Evidence for Counterdeception , 2010, International Journal of Primatology.

[90]  Charles E. Taylor,et al.  Acoustic sensor arrays for understanding bird communication. Identifying Cassin's Vireos using SVMs and HMMs , 2013, ECAL.

[91]  Ellen C. Garland,et al.  Quantifying humpback whale song sequences to understand the dynamics of song exchange at the ocean basin scale. , 2013, The Journal of the Acoustical Society of America.

[92]  D. Adams,et al.  Using randomization techniques to analyse behavioural data , 1996, Animal Behaviour.

[93]  Dennis Hasselquist,et al.  Correlation between male song repertoire, extra-pair paternity and offspring survival in the great reed warbler , 1996, Nature.

[94]  Henrike Hultsch,et al.  How songbirds deal with large amounts of serial information: retrieval rules suggest a hierarchical song memory , 1998, Biological Cybernetics.

[95]  David Lusseau,et al.  Compression as a Universal Principle of Animal Behavior , 2013, Cogn. Sci..

[96]  P. Marler,et al.  Rhesus monkey (Macaca mulatta) screams: Representational signalling in the recruitment of agonistic aid , 1984, Animal Behaviour.

[97]  Ronald F. Digiacomo,et al.  in the rhesus monkey (Macaca mulatta) , 1971 .

[98]  D. Blumstein,et al.  Multisensory perception in uncertain environments , 2012 .

[99]  Aretas A Saunders The Song of the Song Sparrow , 1951 .

[100]  P. Marler,et al.  Categorical perception of a natural stimulus continuum: birdsong. , 1989, Science.

[101]  Carel ten Cate,et al.  The Progressive Loss of Syntactical Structure in Bird Song along an Island Colonization Chain , 2013, Current Biology.

[102]  David G. Stork,et al.  Pattern Classification , 1973 .

[103]  Robert J. Dooling,et al.  Perception of warble song in budgerigars (Melopsittacus undulatus): evidence for special processing , 2012, Animal Cognition.

[104]  Gordon M. Burghardt,et al.  Perspectives – Minimizing Observer Bias in Behavioral Studies: A Review and Recommendations , 2012 .

[105]  S. Makeig,et al.  Mining event-related brain dynamics , 2004, Trends in Cognitive Sciences.

[106]  G. Ruxton,et al.  Resolving current disagreements and ambiguities in the terminology of animal communication , 2011, Journal of evolutionary biology.

[107]  Joseph Picone,et al.  Signal modeling techniques in speech recognition , 1993, Proc. IEEE.

[108]  Constance Scharff,et al.  The use of network analysis to study complex animal communication systems: a study on nightingale song , 2014, Proceedings of the Royal Society B: Biological Sciences.

[109]  Arik Kershenbaum,et al.  The Encoding of Individual Identity in Dolphin Signature Whistles: How Much Information Is Needed? , 2013, PloS one.

[110]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[111]  Stewart H. Hulse,et al.  Auditory scene analysis in animal communication , 2002 .

[112]  R. Berwick,et al.  Songs to syntax: the linguistics of birdsong , 2011, Trends in Cognitive Sciences.

[113]  Donald E. Kroodsma,et al.  Suggested experimental designs for song playbacks , 1989, Animal Behaviour.

[114]  Amaury Habrard,et al.  Using Contextual Representations to Efficiently Learn Context-Free Languages , 2010, J. Mach. Learn. Res..

[115]  Arik Kershenbaum,et al.  Animal vocal sequences: not the Markov chains we thought they were , 2014, Proceedings of the Royal Society B: Biological Sciences.

[116]  R. Fay Acoustic Communication , 2003, Springer Handbook of Auditory Research.

[117]  G. Fagiolo Clustering in complex directed networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[118]  Klaus Zuberbühler,et al.  The central importance of information in studies of animal communication , 2010, Animal Behaviour.

[119]  William A. Watkins,et al.  Sperm whale codas , 1977 .

[120]  C. Gans,et al.  Muscular control of the vocal tract during release signaling in the toad Bufo valliceps , 1972, Journal of morphology.

[121]  Cory T. Miller,et al.  Receiver psychology turns 20: is it time for a broader approach? , 2012, Animal Behaviour.

[122]  PIERRE JOUVENTIN,et al.  Finding a parent in a king penguin colony: the acoustic system of individual recognition , 1999, Animal Behaviour.

[123]  John R. Krebs,et al.  Song matching in the great tit Parus major L. , 1981, Animal Behaviour.

[124]  R. Remez,et al.  Perceptual Organization of Speech , 2008, The Handbook of Speech Perception.

[125]  Peter L. Tyack,et al.  Repeated call types in short‐finned pilot whales, Globicephala macrorhynchus , 2013 .

[126]  R G Weisman,et al.  Call-note discriminations in black-capped chickadees (Poecile atricapillus). , 2000, Journal of comparative psychology.

[127]  K. Zuberbühler,et al.  Female Putty-Nosed Monkeys Use Experimentally Altered Contextual Information to Disambiguate the Cause of Male Alarm Calls , 2013, PloS one.

[128]  N Suga,et al.  Syntax processing by auditory cortical neurons in the FM-FM area of the mustached bat Pteronotus parnellii. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[129]  R J Dooling,et al.  Perception of synthetic /ba/-/wa/ speech continuum by budgerigars (Melopsittacus undulatus). , 1997, The Journal of the Acoustical Society of America.

[130]  K. Zuberbühler,et al.  Speed of call delivery is related to context and caller identity in Campbell’s monkey males , 2010, Naturwissenschaften.

[131]  Thierry Aubin,et al.  SOUND-BASED SPECIES-SPECIFIC RECOGNITION IN THE BLACKCAP SYLVIA ATRICAPILLA SHOWS HIGH TOLERANCE TO SIGNAL MODIFICATIONS , 2001 .

[132]  T. Riede,et al.  Vocal tract length and acoustics of vocalization in the domestic dog (Canis familiaris). , 1999, The Journal of experimental biology.

[133]  Wojbor A. Woyczyński,et al.  Introductory Statistics and Random Phenomena: Uncertainty, Complexity and Chaotic Behavior in Engineering and Science , 1998 .

[134]  LAURANCE R. DOYLE,et al.  Quantitative tools for comparing animal communication systems: information theory applied to bottlenose dolphin whistle repertoires , 1999, Animal Behaviour.

[135]  R. Millikan Varieties of Meaning: The 2002 Jean Nicod Lectures , 2004 .

[136]  George D. Pollak,et al.  Versatility and Stereotypy of Free-Tailed Bat Songs , 2009, PloS one.

[137]  D. Blumstein,et al.  Individual, age and sex-specific information is contained in yellow-bellied marmot alarm calls , 2005, Animal Behaviour.

[138]  Felix Naef,et al.  Freedom and Rules: The Acquisition and Reprogramming of a Bird's Learned Song , 2005, Science.

[139]  Yachen Lin Introductory Statistics and Random Phenomena , 1999, Technometrics.

[140]  Leon Cohen,et al.  Time Frequency Analysis: Theory and Applications , 1994 .

[141]  K. Zuberbühler,et al.  Meaningful call combinations in a non-human primate , 2008, Current Biology.

[142]  W. Zucchini,et al.  Hidden Markov Models for Time Series: An Introduction Using R , 2009 .

[143]  R. Suthers Chapter 9 – How birds sing and why it matters , 2004 .

[144]  Pierre Jouventin,et al.  INDIVIDUALITY IN THE VOICE OF FUR SEAL FEMALES: AN ANALYSIS STUDY OF THE PUP ATTRACTION CALL IN ARCTOCEPHALUS TROPICALIS , 2003 .

[145]  Kazuo Okanoya,et al.  Perceptual organization of acoustic stimuli by budgerigars (Melopsittacus undulatus): II. Vocal signals. , 1987 .

[146]  R. Suthers,et al.  Peripheral control and lateralization of birdsong. , 1997, Journal of neurobiology.

[147]  Ron J. Weiss,et al.  Unsupervised Discovery of Temporal Structure in Music , 2011, IEEE Journal of Selected Topics in Signal Processing.

[148]  Daniel T. Blumstein,et al.  Social Group Size Predicts the Evolution of Individuality , 2011, Current Biology.

[149]  Chen Chen,et al.  Multiscale community geometry in a network and its application. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[150]  John A. Hildebrand,et al.  Temporal separation of blue whale call types on a southern California feeding ground , 2007, Animal Behaviour.

[151]  Benoît Fabre,et al.  New acoustic model for humpback whale sound production , 2013 .

[152]  Marcel Eens,et al.  Male song as a cue for mate choice in the European starling , 1991 .

[153]  L. Baptista,et al.  Why Birdsong Is Sometimes Like Music , 2005, Perspectives in biology and medicine.

[154]  J. Poole,et al.  Signals and assessment in African elephants: evidence from playback experiments , 1999, Animal Behaviour.

[155]  JULIA FISCHER,et al.  Bioacoustic Field Research: A Primer to Acoustic Analyses and Playback Experiments With Primates , 2013, American journal of primatology.

[156]  Cory T. Miller,et al.  Vocalizations as Auditory Objects: Behavior and Neurophysiology , 2009 .

[157]  Robert J Dooling,et al.  Acoustic and perceptual categories of vocal elements in the warble song of budgerigars (Melopsittacus undulatus). , 2011, Journal of comparative psychology.

[158]  H L Roitblat,et al.  Characterizing the graded structure of false killer whale (Pseudorca crassidens) vocalizations. , 1998, The Journal of the Acoustical Society of America.

[159]  M. Ryan,et al.  Redefining animal signaling: influence versus information in communication , 2010 .

[160]  Robert G. Harcourt,et al.  INDIVIDUAL VOCAL IDENTITY IN MOTHER AND PUP AUSTRALIAN SEA LIONS (NEOPHOCA CINEREA) , 2006 .

[161]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[162]  M. Manser,et al.  The acoustic structure of suricates' alarm calls varies with predator type and the level of response urgency , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[163]  K. Zuberbühler,et al.  The alarm-calling system of adult male putty-nosed monkeys, Cercopithecus nictitans martini , 2006, Animal Behaviour.

[164]  Stuart Parsons,et al.  Echolocation call production during aerial and terrestrial locomotion by New Zealand's enigmatic lesser short-tailed bat, Mystacina tuberculata , 2010, Journal of Experimental Biology.

[165]  André A. Dhondt,et al.  The anti-exhaustion hypothesis: a new hypothesis to explain song performance and song switching in the great tit , 1988, Animal Behaviour.

[166]  R. Connor,et al.  Exploring Animal Social Networks, D.P. Croft, R. James, J. Krause. Princeton, New Jersey, Princeton University Press (2008), Pp. viii+192. Price $35.00 paperback , 2009 .

[167]  J G Robinson,et al.  An analysis of the organization of vocal communication in the titi monkey Callicebus moloch. , 2010, Zeitschrift fur Tierpsychologie.

[168]  Virginia Teller Review of Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition by Daniel Jurafsky and James H. Martin. Prentice Hall 2000. , 2000 .

[169]  Sylvain Arlot,et al.  A survey of cross-validation procedures for model selection , 2009, 0907.4728.

[170]  Annie B. Douglas,et al.  Blue whales respond to simulated mid-frequency military sonar , 2013, Proceedings of the Royal Society B: Biological Sciences.

[171]  I. Charrier,et al.  What makes an Australian sea lion (Neophoca cinerea) male's bark threatening? , 2011, Journal of comparative psychology.

[172]  Willem H. Zuidema,et al.  Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species , 2009, Proceedings of the National Academy of Sciences.

[173]  M. A. Bee,et al.  The cocktail party problem: what is it? How can it be solved? And why should animal behaviorists study it? , 2008, Journal of comparative psychology.

[174]  H. Williams,et al.  Timbre discrimination in zebra finch (Taeniopygia guttata) song syllables. , 1990, Journal of comparative psychology.

[175]  M. Andersson,et al.  SEXUAL SELECTION AND THE EVOLUTION OF SONG , 1986 .

[176]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[177]  Haridimos Tsoukas,et al.  Recurring Patterns , 1997 .

[178]  S. Harnad Categorical Perception: The Groundwork of Cognition , 1990 .

[179]  Eric Moulines,et al.  Inference in hidden Markov models , 2010, Springer series in statistics.

[180]  Patrick Flandrin,et al.  Wigner-Ville spectral analysis of nonstationary processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[181]  Shigeo Abe DrEng Pattern Classification , 2001, Springer London.

[182]  J. Ford,et al.  Acoustic behaviour of resident killer whales (Orcinus orca) off Vancouver Island, British Columbia , 1989 .

[183]  Morten H. Christiansen,et al.  Connectionist psycholinguistics: capturing the empirical data , 2001, Trends in Cognitive Sciences.

[184]  Jean Hausser,et al.  Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks , 2008, J. Mach. Learn. Res..

[185]  Christopher S. Evans,et al.  Referential Signals , 2000 .

[186]  C. E. Ho,et al.  A procedure for an automated measurement of song similarity , 2000, Animal Behaviour.

[187]  P. Slater,et al.  Temporal variation in male chaffinch song depends on the singer and the song type , 2003 .

[188]  N. Collias,et al.  The Vocal Repertoire of the Red Junglefowl: A Spectrographic Classification and the Code of Communication , 1987 .

[189]  Slava M. Katz,et al.  Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..

[190]  E Nevo,et al.  Geographic dialects in blind mole rats: role of vocal communication in active speciation. , 1987, Proceedings of the National Academy of Sciences of the United States of America.

[191]  L. Slobodkin The Evolution of Complexity by Means of Natural Selection , 2016 .

[192]  W. J. Smith The behavior of communicating , 1977 .

[193]  V. Janik,et al.  Signature whistle shape conveys identity information to bottlenose dolphins. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[194]  G. E. Peterson,et al.  Control Methods Used in a Study of the Vowels , 1951 .

[195]  Luke Rendell,et al.  Overlapping and matching of codas in vocal interactions between sperm whales: insights into communication function , 2008, Animal Behaviour.

[196]  Heidi E. Harley,et al.  Whistle discrimination and categorization by the Atlantic bottlenose dolphin (Tursiops truncatus): A review of the signature whistle framework and a perceptual test , 2008, Behavioural Processes.

[197]  Robert J. Dooling,et al.  Perceptual organization of acoustic stimuli by budgerigars (Melopsittacus undulatus): III. Contact calls. , 1988 .

[198]  Jack W. Bradbury,et al.  Principles of Animal Communication , 1998 .

[199]  M.T. Johnson,et al.  Automatic Song-Type Classification and Speaker Identification of Norwegian Ortolan Bunting (Emberiza Hortulana) Vocalizations , 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

[200]  Thierry Aubin,et al.  Does true syntax or simple auditory object support the role of skylark song dialect? , 2013, Animal Behaviour.

[201]  Stephen Handel,et al.  Hierarchical and rhythmic organization in the songs of humpback whales (Megaptera novaeangliae) , 2012 .

[202]  Douglas A. Nelson,et al.  Segregation of information in a complex acoustic signal: individual and dialect identity in white-crowned sparrow song , 2007, Animal Behaviour.

[203]  Gary F. Marcus,et al.  Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants , 2013, Nature.

[204]  Christus,et al.  A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins , 2022 .

[205]  Dale Stokes,et al.  The social vocalization repertoire of east Australian migrating humpback whales (Megaptera novaeangliae). , 2007, The Journal of the Acoustical Society of America.

[206]  D. Kitchen Alpha male black howler monkey responses to loud calls: effect of numeric odds, male companion behaviour and reproductive investment , 2004, Animal Behaviour.

[207]  Daniel T. Blumstein,et al.  The Evolution, Function, and Meaning of Marmot Alarm Communication , 2007 .

[208]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[209]  Justin Matthews,et al.  A REVIEW OF FREQUENCY AND TIME PARAMETERS OF CETACEAN TONAL CALLS , 1999 .

[210]  Masato Okada,et al.  Complex Sequencing Rules of Birdsong Can be Explained by Simple Hidden Markov Processes , 2010, PloS one.

[211]  Daniel W. McShea,et al.  The evolution of complexity without natural selection, a possible large-scale trend of the fourth kind , 2005, Paleobiology.

[212]  C. Chatfield,et al.  Analysing sequences of behavioural events. , 1970, Journal of theoretical biology.

[213]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[214]  C. J. Clark,et al.  Why Do Calypte Hummingbirds “Sing” with Both Their Tail and Their Syrinx? An Apparent Example of Sexual Sensory Bias , 2009, The American Naturalist.

[215]  P. K. McGregor,et al.  Decline in song output by great tits: Exhaustion or motivation? , 1988, Animal Behaviour.

[216]  Tyler A. Helble,et al.  A generalized power-law detection algorithm for humpback whale vocalizations. , 2012, The Journal of the Acoustical Society of America.

[217]  W. Fitch Vocal tract length and formant frequency dispersion correlate with body size in rhesus macaques. , 1997, The Journal of the Acoustical Society of America.

[218]  Ramon Ferrer-i-Cancho,et al.  The span of correlations in dolphin whistle sequences , 2012, 1205.0321.

[219]  William A. Gale,et al.  Good-Turing Smoothing Without Tears , 2001 .

[220]  D. Costa,et al.  Evaluating the function of the male harbour seal, Phoca vitulina, roar through playback experiments , 2004, Animal Behaviour.

[221]  Chris Knight,et al.  The evolution of culture : an interdisciplinary view , 2001 .

[222]  Stephen Handel,et al.  Rhythmic structure in humpback whale (Megaptera novaeangliae) songs: preliminary implications for song production and perception. , 2009, The Journal of the Acoustical Society of America.

[223]  Asif A. Ghazanfar,et al.  The units of perception in the antiphonal calling behavior of cotton-top tamarins (Saguinus oedipus): playback experiments with long calls , 2001, Journal of Comparative Physiology A.

[224]  J. Fewell Social Insect Networks , 2003, Science.

[225]  V. Cane Behaviour Sequences as Semi‐Markov Chains , 1959 .

[226]  Thierry Aubin,et al.  Are bird song complexity and song sharing shaped by habitat structure? An information theory and statistical approach. , 2010, Journal of theoretical biology.

[227]  Donald E. Kroodsma,et al.  DEVELOPMENT AND USE OF TWO SONG FORMS BY THE EASTERN PHOEBE , 1985 .

[228]  Sebastian Wernicke,et al.  FANMOD: a tool for fast network motif detection , 2006, Bioinform..

[229]  P L Tyack,et al.  A quantitative measure of similarity for tursiops truncatus signature whistles. , 1993, The Journal of the Acoustical Society of America.

[230]  Thierry Aubin,et al.  Individuality in the voice of the emperor penguin Aptenodytes forsteri: adaptation to a noisy environment , 2010 .

[231]  Todd M. Freeberg,et al.  Chick-a-dee call variation in Carolina chickadees and recruiting flockmates to food , 2009 .

[232]  R. Dawkins,et al.  Animal signals: information or manipulation? , 1978 .

[233]  Donald E. Kroodsma,et al.  Patterns in songbird singing behaviour: Hartshorne vindicated , 1990, Animal Behaviour.

[234]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[235]  Mick Hurbis-Cherrier,et al.  Sound for Production , 2018, Voice & Vision.

[236]  E. Mark Gold,et al.  Language Identification in the Limit , 1967, Inf. Control..

[237]  I. Charrier,et al.  Individual identity encoding and environmental constraints in vocal recognition of pups by Australian sea lion mothers , 2012, Animal Behaviour.

[238]  Eduardo Mercado,et al.  Recurring patterns in the songs of humpback whales (Megaptera novaeangliae) , 2011, Behavioural Processes.

[239]  Willard Van Orman Quine,et al.  Word and Object , 1960 .

[240]  John M. Burt,et al.  Song type matching as threat: a test using interactive playback , 2001, Animal Behaviour.

[241]  Joydeep Ghosh,et al.  Under Consideration for Publication in Knowledge and Information Systems Generative Model-based Document Clustering: a Comparative Study , 2003 .

[242]  S. Mallat A wavelet tour of signal processing , 1998 .

[243]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[244]  Thierry Aubin,et al.  SEX DISCRIMINATION AND MATE RECOGNITION BY VOICE IN THE YELKOUAN SHEARWATER PUFFINUS YELKOUAN , 2011 .

[245]  Daniel J Mennill,et al.  Female eavesdropping on male song contests in songbirds. , 2002, Science.

[246]  David Reby,et al.  Human listeners attend to size information in domestic dog growls. , 2008, The Journal of the Acoustical Society of America.

[247]  John M. Burt,et al.  Song-type matching between neighbouring song sparrows , 2000, Animal Behaviour.

[248]  Haikady N. Nagaraja,et al.  Inference in Hidden Markov Models , 2006, Technometrics.

[249]  R. Suthers,et al.  Airflow and pressure during canary song: direct evidence for mini-breaths , 2004, Journal of Comparative Physiology A.

[250]  Scott E. Page,et al.  Diversity and Complexity , 2010 .

[251]  D. McShea Complexity and evolution: What everybody knows , 1991 .

[252]  J. Macedonia,et al.  What is Communicated in the Antipredator Calls of Lemurs: Evidence from Playback Experiments with Ringtailed and Ruffed Lemurs , 2010 .

[253]  D. Jin Generating variable birdsong syllable sequences with branching chain networks in avian premotor nucleus HVC. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[254]  K. D. Punta,et al.  An ultra-sparse code underlies the generation of neural sequences in a songbird , 2002 .

[255]  K. Payne,et al.  Infrasonic calls of the Asian elephant (Elephas maximus) , 1986, Behavioral Ecology and Sociobiology.

[257]  Douglas G. Richards,et al.  Alerting and Message Components in Songs of Rufous-Sided Towhees , 1981 .

[258]  Kent Johnson Gold’s Theorem and Cognitive Science* , 2004, Philosophy of Science.

[259]  M. E. Laidre,et al.  The Gestural Communication of Apes and Monkeys, Josep Call, Michael Tomasello (Eds.). Erlbaum, Mahwah, New Jersey (2007), Pp. viii + 256. Price $34.95. , 2009 .

[260]  Brandon C. Wheeler,et al.  Proximate Factors Underpinning Receiver Responses to Deceptive False Alarm Calls in Wild Tufted Capuchin Monkeys: Is It Counterdeception? , 2012, American journal of primatology.

[261]  John Scott,et al.  The SAGE Handbook of Social Network Analysis , 2011 .

[262]  Robert M. Seyfarth,et al.  Hierarchical Classification by Rank and Kinship in Baboons , 2003, Science.

[263]  Tom A. B. Snijders,et al.  Markov Chain Monte Carlo Estimation of Exponential Random Graph Models , 2002, J. Soc. Struct..

[264]  D. Papaj,et al.  Complex signal function: developing a framework of testable hypotheses , 2004, Behavioral Ecology and Sociobiology.

[265]  P. Pochet A Quantitative Analysis , 2006 .

[266]  Klaus Zuberbühler,et al.  Predator-deterring alarm call sequences in Guereza colobus monkeys are meaningful to conspecifics , 2010, Animal Behaviour.

[267]  Olivier Adam,et al.  Understanding the intentional acoustic behavior of humpback whales: a production-based approach. , 2013, The Journal of the Acoustical Society of America.

[268]  Mark A. Bee,et al.  Finding Your Mate at a Cocktail Party: Frequency Separation Promotes Auditory Stream Segregation of Concurrent Voices in Multi-Species Frog Choruses , 2011, PloS one.

[269]  Nick Chater,et al.  Networks in Cognitive Science , 2013, Trends in Cognitive Sciences.

[270]  Ingo R. Titze,et al.  Principles of voice production , 1994 .

[271]  T. Aubin,et al.  Penguins use the two–voice system to recognize each other , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[272]  R. Byrne,et al.  Evidence for semantic communication in titi monkey alarm calls , 2012, Animal Behaviour.

[273]  William A. Searcy,et al.  Song types as fundamental units in vocal repertoires , 1999, Animal Behaviour.

[274]  Amiyaal Ilany,et al.  Do Singing Rock Hyraxes Exploit Conspecific Calls to Gain Attention? , 2011, PloS one.

[275]  Gábor Csárdi,et al.  The igraph software package for complex network research , 2006 .

[276]  Klaus Zuberbühler,et al.  Food-associated calls in chimpanzees: responses to food types or food preferences? , 2006, Animal Behaviour.

[277]  Charles E. Taylor,et al.  Structural Design Principles of Complex Bird Songs: A Network-Based Approach , 2012, PloS one.

[278]  Çağlar Akçay,et al.  Song type matching is an honest early threat signal in a hierarchical animal communication system , 2013, Proceedings of the Royal Society B: Biological Sciences.

[279]  J. Cynx Experimental determination of a unit of song production in the zebra finch (Taeniopygia guttata). , 1990, Journal of comparative psychology.

[280]  R. Ferrer i Cancho,et al.  Zipf's law from a communicative phase transition , 2005 .

[281]  Robert G Harcourt,et al.  Vocal identity and species recognition in male Australian sea lions, Neophoca cinerea , 2008, Journal of Experimental Biology.

[282]  Aaron C. Koralek,et al.  What the hyena's laugh tells: Sex, age, dominance and individual signature in the giggling call of Crocuta crocuta , 2010, BMC Ecology.

[283]  Thierry Aubin,et al.  Acoustic cues used for species recognition can differ between sexes and sibling species: evidence in shearwaters , 2012, Animal Behaviour.

[284]  H. Carl Gerhardt,et al.  Acoustic communication in two groups of closely related treefrogs. , 2001 .

[285]  Evandro Agazzi,et al.  What is Complexity , 2002 .

[286]  Thierry Aubin,et al.  Acoustic communication in the Kittiwake Rissa tridactyla: potential cues for sexual and individual signatures in long calls , 2007, Polar Biology.

[287]  Mark D. Skowronski,et al.  Antiphonal calling allows individual discrimination in white-winged vampire bats , 2008, Animal Behaviour.

[288]  HausserJean,et al.  Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks , 2009 .

[289]  Michael D. Scott,et al.  Individual recognition in wild bottlenose dolphins: a field test using playback experiments , 1999, Animal Behaviour.

[290]  Kenneth S. Henry,et al.  Habitat-related differences in the frequency selectivity of auditory filters in songbirds , 2010 .

[291]  Claude E. Shannon,et al.  The Mathematical Theory of Communication , 1950 .

[292]  E. Owens,et al.  An Introduction to the Psychology of Hearing , 1997 .

[293]  Marcelo Araya-Salas Is birdsong music , 2012 .

[294]  J. Lucas,et al.  Linking social complexity and vocal complexity: a parid perspective , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[295]  Andreas Stolcke,et al.  SRILM - an extensible language modeling toolkit , 2002, INTERSPEECH.

[296]  Volker B Deecke,et al.  Automated categorization of bioacoustic signals: avoiding perceptual pitfalls. , 2005, The Journal of the Acoustical Society of America.

[297]  S. Hanser,et al.  Using information theory to assess the diversity, complexity, and development of communicative repertoires. , 2002, Journal of comparative psychology.

[298]  N Suga,et al.  Analysis of acoustic elements and syntax in communication sounds emitted by mustached bats. , 1994, The Journal of the Acoustical Society of America.

[299]  C. ten Cate,et al.  Zebra finches and Dutch adults exhibit the same cue weighting bias in vowel perception , 2011, Animal Cognition.

[300]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[301]  Ellen C. Garland,et al.  Improved versions of the Levenshtein distance method for comparing sequence information in animals’ vocalisations: tests using humpback whale song , 2012 .

[302]  D. Weary,et al.  Kroodsma refuted , 1990, Animal Behaviour.

[303]  Partha P. Mitra,et al.  A Technique for Characterizing the Development of Rhythms in Bird Song , 2008, PLoS ONE.

[304]  P. Slater,et al.  Ambient noise, motor fatigue, and serial redundancy in chaffinch song , 2006, Behavioral Ecology and Sociobiology.

[305]  Falk Schreiber,et al.  MAVisto: a tool for the exploration of network motifs , 2005, Bioinform..

[306]  W. Fitch The evolution of speech: a comparative review , 2000, Trends in Cognitive Sciences.

[307]  M. Nice,et al.  Singing Behavior and Its Development in the Song Sparrow Melospiza Melodia , 1967 .

[308]  Denise L. Herzing,et al.  Synchronous and Rhythmic Vocalizations and Correlated Underwater Behavior of Free-ranging Atlantic Spotted Dolphins (Stenella frontalis) and Bottlenose Dolphins (Tursiops truncatus) in the Bahamas , 2015 .

[309]  VINCENT M. JANIK,et al.  Pitfalls in the categorization of behaviour: a comparison of dolphin whistle classification methods , 1999, Animal Behaviour.

[310]  E. Geffen,et al.  Complex call in male rock hyrax (Procavia capensis): a multi-information distributing channel , 2009, Behavioral Ecology and Sociobiology.

[311]  Krista Ann Larson,et al.  Advertisement Call Complexity in Northern Leopard Frogs, Rana pipiens , 2004, Copeia.

[312]  Diana Reiss,et al.  Quantitative Comparison of Whistle Repertoires from Captive Adult Bottlenose Dolphins (Delphinidae, Tursiops truncatus): a Re‐evaluation of the Signature Whistle Hypothesis , 2010 .

[313]  R. Hayes,et al.  The Evolution of Animal Communication. Reliability and Deception in Signalling Systems , 2006 .

[314]  P. Mitra,et al.  How sleep affects the developmental learning of bird song , 2005, Nature.

[315]  Masaomi Teshigawara,et al.  Structural Design Principles , 2001 .

[316]  M. Hauser,et al.  Orienting asymmetries in rhesus monkeys: the effect of time-domain changes on acoustic perception , 1998, Animal Behaviour.

[317]  Brian K Branstetter,et al.  The object behind the echo: dolphins (Tursiops truncatus) perceive object shape globally through echolocation , 2002, Behavioural Processes.

[318]  Lk Gentle,et al.  Identifying individual wild Eastern grey wolves (Canis lupus lycaon) using fundamental frequency and amplitude of howls , 2014 .

[319]  Jordan B. Peterson The Meaning of Meaning , 2007 .

[320]  Todd M. Freeberg,et al.  Geographic Variation in Note Composition and Use of chick‐a‐dee Calls of Carolina Chickadees (Poecile carolinensis) , 2012 .

[321]  Tetsuro Nishino,et al.  Ethological data mining: an automata-based approach to extract behavioral units and rules , 2009, Data Mining and Knowledge Discovery.

[322]  Peter Marler,et al.  Ordering of sequences of singing behaviour of mistle thrushes in relationship to timing , 1963 .

[323]  Thierry Aubin,et al.  Males use time whereas females prefer harmony: individual call recognition in the dimorphic blue-footed booby , 2012, Animal Behaviour.

[324]  Michael J. Ryan,et al.  Plasticity in female mate choice associated with changing reproductive states , 2005, Animal Behaviour.

[325]  Brandon C. Wheeler Production and perception of situationally variable alarm calls in wild tufted capuchin monkeys (Cebus apella nigritus) , 2010, Behavioral Ecology and Sociobiology.

[326]  H. Brockmann,et al.  The Evolution of Animal Communication: Reliability and Deception in Signaling Systems , 2006 .

[327]  Robin I. M. Dunbar,et al.  Social complexity as a proximate and ultimate factor in communicative complexity , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[328]  Eytan Ruppin,et al.  Unsupervised learning of natural languages , 2006 .

[329]  S. Shen-Orr,et al.  Networks Network Motifs : Simple Building Blocks of Complex , 2002 .

[330]  J. Krebs,et al.  Habituation and song repertoires in the great tit , 1976, Behavioral Ecology and Sociobiology.

[331]  Laurie L Bloomfield,et al.  Acoustic mechanisms of note-type perception in black-capped chickadee (Poecile atricapillus) calls. , 2005, Journal of comparative psychology.

[332]  K. Gurney,et al.  Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence , 2008, PloS one.

[333]  Thierry Aubin,et al.  Singing in the Rain Forest: How a Tropical Bird Song Transfers Information , 2008, PloS one.

[334]  Denise Brandão de Oliveira e Britto,et al.  The faculty of language , 2007 .

[335]  Gavin M. Bidelman,et al.  Songbirds tradeoff auditory frequency resolution and temporal resolution , 2011, Journal of Comparative Physiology A.

[336]  April M. Becker,et al.  MOBBING CALLS OF BLACK-CAPPED CHICKADEES: EFFECTS OF URGENCY ON CALL PRODUCTION , 2002 .

[337]  Hsiao-Wuen Hon,et al.  Speaker-independent phone recognition using hidden Markov models , 1989, IEEE Trans. Acoust. Speech Signal Process..

[338]  K JainAnil,et al.  Combining Multiple Clusterings Using Evidence Accumulation , 2005 .

[339]  L. A. Grieves,et al.  Joint-nesting smooth-billed anis, Crotophaga ani, use a functionally referential alarm call system , 2014, Animal Behaviour.

[340]  I. Charrier,et al.  Bearded seal males perceive geographic variation in their trills , 2013, Behavioral Ecology and Sociobiology.

[341]  David E. Gammon,et al.  Northern Mockingbirds produce syntactical patterns of vocal mimicry that reflect taxonomy of imitated species , 2011 .

[342]  D. Kroodsma,et al.  Ecology and evolution of acoustic communication in birds , 1997 .

[343]  J. Randall Individual footdrumming signatures in banner-tailed kangaroo rats Dipodomys spectabilis , 1989, Animal Behaviour.

[344]  L. Blaustein,et al.  Syntactic structure and geographical dialects in the songs of male rock hyraxes , 2012, Proceedings of the Royal Society B: Biological Sciences.

[345]  Drew Rendall,et al.  Contextual variation in chimpanzee pant hoots and its implications for referential communication , 2005, Animal Behaviour.

[346]  J. Darling,et al.  Humpback whale songs: Do they organize males during the breeding season? , 2006 .

[347]  Stéphane Robin,et al.  Individual Signature in Canary Songs: Contribution of Multiple Levels of Song Structure , 2008 .

[348]  D. Kroodsma,et al.  Female mate choice and songbird song repertoires , 2009, Animal Behaviour.

[349]  Eduardo Mercado,et al.  Stereotypical sound patterns in humpback whale songs: Usage and function , 2003 .

[350]  P. Miller,et al.  Caller sex and orientation influence spectral characteristics of "two-voice" stereotyped calls produced by free-ranging killer whales. , 2007, The Journal of the Acoustical Society of America.

[351]  Marcel Eens,et al.  Function of the Song and Song Repertoire in the European Starling (Sturnus Vulgaris) : an Aviary Experiment , 1993 .

[352]  Mark A. Bee The cocktail party problem: What is it? How can it be solved? And why should students of bioacoustics study it? , 2006 .

[353]  Russell Greenberg,et al.  Macrogeographic Vocal Variation in Subspecies of Swamp Sparrow , 2008 .

[354]  J A Kogan,et al.  Automated recognition of bird song elements from continuous recordings using dynamic time warping and hidden Markov models: a comparative study. , 1998, The Journal of the Acoustical Society of America.

[355]  R.W. Schafer,et al.  From frequency to quefrency: a history of the cepstrum , 2004, IEEE Signal Processing Magazine.

[356]  S. H. Hulse,et al.  Perceptual mechanisms for individual vocal recognition in European starlings,Sturnus vulgaris , 1998, Animal Behaviour.

[357]  T Aubin,et al.  The rally call recognition in males of two hybridizing partridge species, red-legged (Alectoris rufa) and rock (A. graeca) partridges , 2001, Behavioural Processes.

[358]  Melba C. Caldwell,et al.  10 – Review of the Signature-Whistle Hypothesis for the Atlantic Bottlenose Dolphin , 1990 .

[359]  Robert Harcourt,et al.  Vocal Discrimination in Mate Guarding Male Australian Sea Lions: Familiarity Breeds Contempt , 2010 .

[360]  Julie A. Smith,et al.  Experiencing animal minds : an anthology of animal-human encounters , 2012 .

[361]  J. Lauga,et al.  Intra-syllabic acoustic signatures used by the king penguin in parent-chick recognition: an experimental approach. , 2001, The Journal of experimental biology.

[362]  JEFFREY PODOS,et al.  Discrimination of song types and variants in song sparrows , 1995, Animal Behaviour.

[363]  J. Randall,et al.  Species-specific footdrumming in kangaroo rats: Dipodomys ingens , D. deserti , D. spectabilis , 1997, Animal Behaviour.

[364]  Steve Young,et al.  The HTK hidden Markov model toolkit: design and philosophy , 1993 .

[365]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[366]  M. Hauser,et al.  Perception of harmonics in the combination long call of cottontop tamarins, Saguinus oedipus , 2002, Animal Behaviour.

[367]  Melanie Mitchell,et al.  Complexity - A Guided Tour , 2009 .

[368]  Jeanette A. Thomas,et al.  Analysis of Weddell seal (Leptonychotes weddelli) vocalizations using underwater playbacks , 1983 .

[369]  Robert J Dooling,et al.  Perceptual organization of acoustic stimuli by budgerigars (Melopsittacus undulatus): III. Contact calls. , 1988, Journal of comparative psychology.

[370]  Patrick J Clemins,et al.  Generalized perceptual linear prediction features for animal vocalization analysis. , 2006, The Journal of the Acoustical Society of America.

[371]  Randall S. Wells,et al.  Facts about signature whistles of bottlenose dolphins, Tursiops truncatus , 2007, Animal Behaviour.

[372]  M. C. Baker,et al.  Population Differentiation in a Complex Bird Sound: A Comparison of Three Bioacoustical Analysis Procedures , 2003 .

[373]  P. Marler,et al.  Communication Goes Multimodal , 1999, Science.

[374]  Vincent M Janik,et al.  Bottlenose dolphins exchange signature whistles when meeting at sea , 2012, Proceedings of the Royal Society B: Biological Sciences.

[375]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[376]  C. J. Clark,et al.  The Anna's hummingbird chirps with its tail: a new mechanism of sonation in birds , 2008, Proceedings of the Royal Society B: Biological Sciences.

[377]  Stephanie Seneff,et al.  Comparing call-based versus subunit-based methods for categorizing Norwegian killer whale, Orcinus orca, vocalizations , 2011, Animal Behaviour.

[378]  William A. Searcy,et al.  Continued scepticism that song overlapping is a signal , 2011, Animal Behaviour.

[379]  J. Mattick,et al.  Genome research , 1990, Nature.

[380]  A. Doupe,et al.  Song-selective auditory circuits in the vocal control system of the zebra finch. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[381]  Daniel M. Weary,et al.  Evidence against the continuity-versatility relationship in bird song , 1988, Animal Behaviour.

[382]  William A. Gale,et al.  Good-Turing Frequency Estimation Without Tears , 1995, J. Quant. Linguistics.

[383]  W. Au,et al.  DIRECTIONALITY IN THE WHISTLES OF HAWAIIAN SPINNER DOLPHINS (STENELLA LONGIROSTRIS): A SIGNAL FEATURE TO CUE DIRECTION OF MOVEMENT? , 2003 .

[384]  Ken Otter,et al.  Do female great tits (Parus major) assess males by eavesdropping? A field study using interactive song playback , 1999, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[385]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[386]  E. H. Haimoff,et al.  Loud Calls of the Gibbon (Hylobates Lar): Repertoire, Organisation and Context , 1984 .

[387]  D. Blumstein Acoustic Communication in Insects and Anurans : Common Problems and Diverse Solutions , 2002 .

[388]  A. Arcadi,et al.  Phrase structure of wild chimpanzee pant hoots: Patterns of production and interpopulation variability , 1996, American journal of primatology.

[389]  Ana L. N. Fred,et al.  Combining multiple clusterings using evidence accumulation , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[390]  A. Groothuis Advances in the Study of Behavior , 1993 .

[391]  Danielle Cholewiak,et al.  Humpback whale song hierarchical structure: Historical context and discussion of current classification issues , 2013 .

[392]  Thierry Aubin,et al.  How to identify dear enemies: the group signature in the complex song of the skylark Alauda arvensis , 2008, Journal of Experimental Biology.

[393]  John A Hildebrand,et al.  Classification of behavior using vocalizations of Pacific white-sided dolphins (Lagenorhynchus obliquidens). , 2011, The Journal of the Acoustical Society of America.

[394]  Robert L. Goldstone,et al.  Categorical perception. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[395]  Todd M Freeberg,et al.  Information theoretical approaches to chick-a-dee calls of Carolina chickadees (Poecile carolinensis). , 2012, Journal of comparative psychology.

[396]  Dezhe Z. Jin,et al.  A Compact Statistical Model of the Song Syntax in Bengalese Finch , 2010, PLoS Comput. Biol..

[397]  H. Slabbekoorn,et al.  Bird song, ecology and speciation. , 2002, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[398]  Jeffrey Podos,et al.  A PERFORMANCE CONSTRAINT ON THE EVOLUTION OF TRILLED VOCALIZATIONS IN A SONGBIRD FAMILY (PASSERIFORMES: EMBERIZIDAE) , 1997, Evolution; international journal of organic evolution.

[399]  Julie N Oswald,et al.  A tool for real-time acoustic species identification of delphinid whistles. , 2005, The Journal of the Acoustical Society of America.

[400]  Clive K. Catchpole,et al.  TEMPORAL AND SEQUENTIAL ORGANISATION OF SONG IN THE SEDGE WARBLER (ACROCEPHALUS SCHOENOBAENUS) , 1976 .

[401]  R. Byrne,et al.  The alarm call system of wild black-fronted titi monkeys, Callicebus nigrifrons , 2012, Behavioral Ecology and Sociobiology.

[402]  J. R. Krebs,et al.  Does singing exhaust male great tits? , 1991, Animal Behaviour.

[403]  Martina Morris,et al.  statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. , 2008, Journal of statistical software.

[404]  M. Ryan,et al.  Categorical perception of a natural, multivariate signal: Mating call recognition in túngara frogs , 2008, Proceedings of the National Academy of Sciences.

[405]  Shimon Edelman,et al.  Learning a Generative Probabilistic Grammar of Experience: A Process-Level Model of Language Acquisition , 2015, Cogn. Sci..

[406]  Klaus Zuberbühler,et al.  Language evolution: Semantic combinations in primate calls , 2006, Nature.

[407]  H. C. Bennet-Clark,et al.  Pulse interval as a critical parameter in the courtship song of Drosophila melanogaster , 1969 .

[408]  Stephen Nowicki,et al.  Defining Natural Categories in Acoustic Signals: Comparison of Three Methods Applied to ‘Chick‐a‐dee’ Call Notes , 2010 .

[409]  Shai Ben-David,et al.  A Sober Look at Clustering Stability , 2006, COLT.

[410]  Peter Marler,et al.  On the meaning of alarm calls: functional reference in an avian vocal system , 1993, Animal Behaviour.

[411]  John William Donaldson,et al.  Philosophy of Language , 1998 .

[412]  Peter Marler,et al.  The Organization of Song Repertoires in Song Sparrows: Themes and Variations , 2010 .

[413]  Noam Chomsky,et al.  The faculty of language: what is it, who has it, and how did it evolve? , 2002, Science.

[414]  Randall S. Wells,et al.  Identifying signature whistles from recordings of groups of unrestrained bottlenose dolphins (Tursiops truncatus) , 2013 .

[415]  G. Recanzone,et al.  The biological basis of audition. , 2008, Annual review of psychology.

[416]  D. Mumford,et al.  Pattern Theory: The Stochastic Analysis of Real-World Signals , 2010 .

[417]  Robert G. Harcourt,et al.  Vocal recognition of mothers by Australian sea lion pups: individual signature and environmental constraints , 2009, Animal Behaviour.

[418]  Edwin R. Lewis,et al.  Seismic signal transmission between burrows of the Cape mole-rat, Georychus capensis , 2004, Journal of Comparative Physiology A.

[419]  M. Manser,et al.  Segmental concatenation of individual signatures and context cues in banded mongoose (Mungos mungo) close calls , 2012, BMC Biology.

[420]  B. Truax Acoustic Communication , 1985 .

[421]  K. Zuberbühler,et al.  The alarm call system of two species of black-and-white colobus monkeys (Colobus polykomos and Colobus guereza). , 2009, Journal of comparative psychology.