Academic literature on the topic 'Bird vocalizations'

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Journal articles on the topic "Bird vocalizations"

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Nikiforov, M. E., L. O. Dashevskaya, K. V. Homel, et al. "Belarusian bird acoustic recognition: data preparation and model training process." Proceedings of the National Academy of Sciences of Belarus, Biological Series 70, no. 2 (2025): 118–24. https://doi.org/10.29235/1029-8940-2025-70-2-118-124.

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The issue of substantial labor and time demands for monitoring bird species diversity and range changes, especially in developing countries, invites novel technological solutions. The recent advancements in machine learning (ML) have led to breakthroughs in AI-based data processing, including tools for automated passive acoustic monitoring (PAM) that utilize on-site bird vocalizations. Here we describe our preliminary results and difficulties encountered when developing an EfficientNetB3-based model for a PAM system to monitor bird diversity in the forested areas of interest in Belarus. A nove
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Batistela, Marciela, and Eliara Solange Müller. "Analysis of duet vocalizations in Myiothlypis leucoblephara (Aves, Parulidae)." Neotropical Biology and Conservation 14, no. 2 (2019): 297–311. http://dx.doi.org/10.3897/neotropical.14.e37655.

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Bird vocalizations might be used for specific recognition, territorial defense, and reproduction. Bioacoustic studies aim to understand the production, propagation and reception of acoustic signals, and they are an important component of research on animal behavior and evolution. In this study we analyzed the sound structure of duet vocalizations in pairs of Myiothlypis leucoblephara and evaluated whether the vocal variables differ among pairs and if there are differences in temporal characteristics and frequency of duets between pairs in forest edges vs. forest interior. Vocalizations were re
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Divyapriya, Chandrasekaran, and Padmanabhan Pramod. "Ornithophony in the soundscape of Anaikatty Hills, Coimbatore, Tamil Nadu, India." Journal of Threatened Taxa 11, no. 12 (2019): 14471–83. http://dx.doi.org/10.11609/jott.4948.11.12.14471-14483.

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An attempt has been made to understand the extent of ornithophony (vocalization of birds) in the soundscape of Anaikatty Hills. The study was limited to 13 hours of daylight from dawn to dusk (06.00–19.00 h) between January 2015 and October 2016. Six replicates of 5-minute bird call recordings were collected from each hour window in 24 recording spots of the study area. Each 5-minute recording was divided into 150 ‘2-sec’ observation units for the detailed analysis of the soundscape. A total of 78 recordings amounting to 390 minutes of acoustic data allowed a preliminary analysis of the ornith
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Abdel-Kafy, El-Sayed M., Samya E. Ibraheim, Alberto Finzi, Sabbah F. Youssef, Fatma M. Behiry, and Giorgio Provolo. "Sound Analysis to Predict the Growth of Turkeys." Animals 10, no. 5 (2020): 866. http://dx.doi.org/10.3390/ani10050866.

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Protocols for manual weighing of turkeys are not practical on turkey farms because of the large body sizes, heavy weights and flighty nature of turkeys. The sounds turkeys make may be a proxy for bird weights, but the relationship between turkey sounds and bird weights has not been studied. The aim of this study was to correlate peak frequency (PF) of vocalization with the age and weight of the bird and examine the possibility using PF to predict the weight of turkeys. The study consisted of four trials in Egypt. Sounds of birds and their weights were recorded for 11 days during the growth per
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Raposo, Marcos A., and Elizabeth Höfling. "Overestimation of vocal characters in Suboscine taxonomy (Aves: Passeriformes: Tyranni): causes and implications." Lundiana: International Journal of Biodiversity 4, no. 1 (2022): 35–42. http://dx.doi.org/10.35699/2675-5327.2003.21833.

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The difference in treatment of vocal features in Oscines and Suboscines passerine birds characterizes a large portion of the current studies on their taxonomy. In the former taxon, vocalization is supposed to be molded by learning, and consequently is not regarded as taxonomically informative. In the latter, a strong emphasis is given to vocalization because it supposedly reflects the genetic structure of populations. This paper reviews the various assumptions related to this difference in treatment, including the overestimation of the vocal characters in suboscine alpha taxonomy due to the al
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Monteiro, Ronan de Azevedo, Carolina Demetrio Ferreira, and Gilmar Perbiche-Neves. "Vocal repertoire and group-specific signature in the Smooth-billed Ani, Crotophaga ani Linnaeus, 1758 (Cuculiformes, Aves)." Papéis Avulsos de Zoologia 61 (July 30, 2021): e20216159. http://dx.doi.org/10.11606/1807-0205/2021.61.59.

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Vocal plasticity reflects the ability of animals to vary vocalizations according to context (vocal repertoire) as well as to develop vocal convergence (vocal group signature) in the interaction of members in social groups. This feature has been largely reported for oscine, psittacine and trochilid birds, but little has been investigated in birds that present innate vocalization. The smooth-billed ani (Crotophaga ani) is a social bird that lives in groups between two and twenty individuals, and which presents innate vocalization. Here we analyzed the vocal repertoire of this species during grou
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PK, Nisha, Hariharan CK, Hima Harikumar, Sandra M.P, and Siva S. "An Overview of Deep Learning Approaches for Bird Sound Recognition." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem39939.

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The Avian Vocal Recognizer (AVR) is a developing field that utilizes deep learning techniques for bird species recognition from vocalizations. This review highlights recent progress in audio classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for feature extraction and temporal pattern recognition. Techniques like Mel Frequency Cepstral Coefficients (MFCCs) further boost the performance of the system along with transfer learning. Hyperparameter tuning has also been found to be promising for enhancing model results, though it is yet to be explored. Dat
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Arato, Jozsef, and W. Tecumseh Fitch. "Phylogenetic signal in the vocalizations of vocal learning and vocal non-learning birds." Philosophical Transactions of the Royal Society B: Biological Sciences 376, no. 1836 (2021): 20200241. http://dx.doi.org/10.1098/rstb.2020.0241.

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Some animal vocalizations develop reliably in the absence of relevant experience, but an intriguing subset of animal vocalizations is learned: they require acoustic models during ontogeny in order to develop, and the learner's vocal output reflects those models. To what extent do such learned vocalizations reflect phylogeny? We compared the degree to which phylogenetic signal is present in vocal signals from a wide taxonomic range of birds, including both vocal learners (songbirds) and vocal non-learners. We used publically available molecular phylogenies and developed methods to analyse spect
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Suzuki, Reiji, Koichiro Hayashi, Hideki Osaka, et al. "Estimating the Soundscape Structure and Dynamics of Forest Bird Vocalizations in an Azimuth-Elevation Space Using a Microphone Array." Applied Sciences 13, no. 6 (2023): 3607. http://dx.doi.org/10.3390/app13063607.

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Songbirds are one of the study targets for both bioacoustic and ecoacoustic research. In this paper, we discuss the applicability of robot audition techniques to understand the dynamics of forest bird vocalizations in a soundscape measured in azimuth and elevation angles with a single 16-channel microphone array, using HARK and HARKBird. First, we evaluated the accuracy in estimating the azimuth and elevation angles of bird vocalizations replayed from a loudspeaker on a tree, 6.55 m above the height of the array, from different horizontal distances in a forest. The results showed that the loca
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Trawicki, Marek. "Hidden Markov Model-Based Multispecies Discrimination of Birds (Class Aves) Within and Across Breeding Seasons." International Journal of Automation, Artificial Intelligence and Machine Learning 5, no. 1 (2025): 49–57. https://doi.org/10.61797/ijaaiml.v5i1.443.

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Monitoring of birds (Class Aves) through their vocalizations that potentially change over time has always been a challenging problem in bioacoustics. Machine learning methods have provided researchers in bioacoustics with many non-invasive ways to study vocalizations. For powerful methods like Hidden Markov Models (HMMs), the models have been deployed to study bird vocalizations but over a limited time period. Through the application of HMMs to Chiffchaff (Phylloscopus Collybita), Little Owl (Athene Noctua), and Tree Pipit (Anthus Trivialis), the three species of birds with varying degrees of
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Dissertations / Theses on the topic "Bird vocalizations"

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May, Les. "Vocalizations in the magpie and the corncrake : methods of analysis, individual differences and geographical variation." Thesis, Manchester Metropolitan University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246260.

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Johnson, Gayle, and n/a. "Vocalizations in the Grey Butcherbird Cracticus Torquatus with Emphasis on Structure in Male Breeding Song: Implications for the Function and Evolution of Song from a Study of a Southern Hemisphere Species." Griffith University. Australian School of Environmental Studies, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20051103.111004.

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An undue focus on Temperate Zone oscines (songbirds or passerines) has led to a geographical bias in interpretation of song frmnction and evolution. This bias led initially to relatively simplistic theories of the ftmnction of bird song with vocalizations divided into 'songs' and 'calls'. Songs were complex, learned vocalizations, given by males in the breeding season, thnctioning in territory defence and mate attraction and stimulation. Calls, on the other hand, were simple innate vocalizations serving more immediate needs such as begging for food and raising an alarm. Female song, where it o
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Bolanos, Sittler Pablo Rafael. "Acoustic behavior and ecology of the Resplendent Quetzal Pharomachrus mocinno, a flagship tropical bird species." Thesis, Paris, Muséum national d'histoire naturelle, 2019. http://www.theses.fr/2019MNHN0001/document.

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Le Quetzal Resplendissant Pharomachrus mocinno est une espèce d’oiseau tropical considérée fortement menacée par la perte de son habitat due aux activités humaines. Le Quetzal Resplendissant joue un rôle important de disperseur de graines et constitue le centre de la culture maya passée et présente. Les recherches sur cette espèce couvrent plusieurs aspects de son histoire naturelle et de sa biologie. Néanmoins, à ce jour, il n’y a aucune description détaillée du comportement et de l’écologie acoustiques de cette espèce, condition préalable à une conservation efficace de l'espèce. L’objectif d
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Johnson, Gayle. "Vocalizations in the Grey Butcherbird Cracticus Torquatus with Emphasis on Structure in Male Breeding Song: Implications for the Function and Evolution of Song from a Study of a Southern Hemisphere Species." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/366380.

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An undue focus on Temperate Zone oscines (songbirds or passerines) has led to a geographical bias in interpretation of song function and evolution. This bias led initially to relatively simplistic theories of the function of bird song with vocalizations divided into 'songs' and 'calls'. Songs were complex, learned vocalizations, given by males in the breeding season, functioning in territory defence and mate attraction and stimulation. Calls, on the other hand, were simple innate vocalizations serving more immediate needs such as begging for food and raising an alarm. Female song, where it occ
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Groot, Damon. "A deep dive into the Prinia atrogularis complex : A tale of birds and taxonomy." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-435486.

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The taxonomy of the taxa in the Prinia atrogularis-khasiana-superciliaris complex has changed several times in recent history. To this day, different world bird lists classify this complex as 1–3 species. These classifications are based mainly on morphological comparisons of museum specimens. No study has analysed the songs and genetics of this complex. This thesis focuses on the integrative taxonomy of this complex by analysing and comparing their song and mitochondrial cytochrome b (cytb) gene. Seventeen different variables from in total 172 individual songs were measured and analysed. A lin
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Soendjoto, Mochamad Arief. "Vocalization behavior of captive loggerhead shrikes (Lanius ludovicianus excubitorides)." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23427.

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Vocalization behavior of captive loggerhead shrikes was studied at the Avian Science and Conservation Centre of McGill University. In the first stage, calls of two pairs kept in indoor cages were individually recorded not only to catalogue these calls spectrographically and quantitatively but also to use them in identifying the birds sexually. Males vocalized 21 call figures for 16.50% of the observation time and females, 8 call figures for 2.64% of the observation time. Males contiguously delivered 1 to 11 bouts with a mean of 7.25 min for a rate of 6.06 bouts/h; females delivered 1 to 9 bout
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Rodrigues, Vanessa Filipa Santos. "Vocalization repertoires variation of Red-billed Chough (Pyrrhocorax pyrrhocorax) population in Portugal." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/21457.

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Mestrado em Ecologia Aplicada<br>Ecological changes in the habitats, induced by climate change or the new paradigms of land use, have had enormous effects in the distribution of species, from the fragmentation of the populations to changes on the genome and/or their behavior. In the case of birds, these constraints may cause changes in vocal repertoires among isolated populations. It was recently confirmed that the two last populations of Red-billed Chough (Pyrrhocorax pyrrhocorax) resident in Portugal (populations of the Serra d'Aire e Candeeiros and Sagres) have an apparent gene-flow restric
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Catalano, Ana Luiza Camargo [UNESP]. "Variação do canto de Thamnophilus Doliatus (Linnaeus, 1764) (Aves: Thamnophilidae) em diferentes regiões da América Latina." Universidade Estadual Paulista (UNESP), 2015. http://hdl.handle.net/11449/126504.

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Made available in DSpace on 2015-08-20T17:10:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2015-03-03. Added 1 bitstream(s) on 2015-08-20T17:26:02Z : No. of bitstreams: 1 000840982.pdf: 1252667 bytes, checksum: 7069bb98ea402999ba81d7d978408194 (MD5)<br>Este trabalho teve como objetivo analisar e comparar as vocalizações entre indivíduos e subespécies de Thamnophilus doliatus de diferentes localizações da América Latina. Foram analisados 280 cantos de 140 indivíduos diferentes, e as variáveis levadas em consideração foram: número de notas, duração do trecho em sequência, taxa de notas
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Catalano, Ana Luiza Camargo. "Variação do canto de Thamnophilus Doliatus (Linnaeus, 1764) (Aves: Thamnophilidae) em diferentes regiões da América Latina /." Botucatu, 2015. http://hdl.handle.net/11449/126504.

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Orientador: Reginaldo José Donatelli<br>Banca: Manoel Dias Filho<br>Banca: Carolina Demetrio Ferreira<br>Resumo: Este trabalho teve como objetivo analisar e comparar as vocalizações entre indivíduos e subespécies de Thamnophilus doliatus de diferentes localizações da América Latina. Foram analisados 280 cantos de 140 indivíduos diferentes, e as variáveis levadas em consideração foram: número de notas, duração do trecho em sequência, taxa de notas por segundo, frequência de pico total do trecho, duração da nota terminal e frequência de pico da mesma. Os cantos também foram divididos em porções
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ARRUDA, André Ribeiro de. "Bioecologia e dinâmica temporal de Pseudoseisura cristata (Passeriformes) sob influência dos períodos climáticos." Universidade Federal Rural de Pernambuco, 2013. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5409.

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Submitted by (ana.araujo@ufrpe.br) on 2016-08-19T14:51:01Z No. of bitstreams: 1 Andre Ribeiro de Arruda.pdf: 727947 bytes, checksum: 086e100ef31d60e213fe354354dd92fd (MD5)<br>Made available in DSpace on 2016-08-19T14:51:01Z (GMT). No. of bitstreams: 1 Andre Ribeiro de Arruda.pdf: 727947 bytes, checksum: 086e100ef31d60e213fe354354dd92fd (MD5) Previous issue date: 2013-02-26<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Given the strong relationship between the birds and the environments where they live, this study aimed to characterize the temporal dynamics of mo
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Books on the topic "Bird vocalizations"

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MacKay, Barry Kent. Bird sounds. Stackpole Books, 2001.

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Roth, Sally. Attracting songbirds to your backyard: Hundreds of easy ways to bring the music and beauty of songbirds to your yard. Rodale, 2012.

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Catchpole, Clive. Bird song: Biological themes and variations. 2nd ed. Cambridge University Press, 2008.

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Catchpole, Clive. Bird song: Biological themes and variations. 2nd ed. Cambridge University Press, 2008.

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Dalton, Michael S. Another kind of mind: A talking bird masters English. Arielle Pub., 2007.

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Paraṇagama, Ḍī Ăm. Lovama pinavana kurulu gīta hā nāda. Ăs. Goḍagē saha Sahōdarayō, 2010.

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Colver, Kevin J. Calls of ducks and geese. Stackpole Books, 2008.

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E, Kroodsma Donald, and Miller Edward H, eds. Ecology and evolution of acoustic communication in birds. Comstock Pub., 1996.

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Kaplan, Gisela T. Australian magpie: Biology and behaviour of an unusual songbird. CSIRO Pub., 2004.

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Marshall, Joe T. Ornithological tracts on taxonomy and distribution. J.T. Marshall, 1999.

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Book chapters on the topic "Bird vocalizations"

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De Vera, Albert John, Rock Christian Tomas, Jabez Joshua Flores, and Anton Domini Sta. Cruz. "Multi-staged Bird Species Classification Through CNN using Bird Vocalizations." In Advancing Sustainable Science and Technology for a Resilient Future. CRC Press, 2024. http://dx.doi.org/10.1201/9781003490210-14.

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Martens, Jochen. "12. Vocalizations and Speciation of Palearctic Birds." In Ecology and Evolution of Acoustic Communication in Birds, edited by Donald E. Kroodsma and Edward H. Miller. Cornell University Press, 2020. http://dx.doi.org/10.7591/9781501736957-019.

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Basu, Joyanta, Rajib Roy, Madhab Pal, et al. "Deciphering Distress: Stress Detection in White Leghorn Birds Through Vocalization Analysis." In Springer Proceedings in Information and Communication Technologies. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-5157-0_50.

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Sushant. S. Khedgikar, Prof, and Dr Minakshi R. Rajput. "COMPARATIVE ANALYSIS OF DIFFERENT WAVELET BASED METHODS FOR DENOISING OF BIRD AUDIO RECORDINGS." In Futuristic Trends in Artificial Intelligence Volume 3 Book 12. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3biai12p6ch1.

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Bird audio signals are acoustic signals produced by birds for various purposes, including communication, territorial defense, courtship, and species recognition. These signals are rich in information and exhibit diverse patterns, structures, and frequency characteristics. Usually, bird audio recordings contain background noise captured by recording equipment, which reduces signal to noise ratio. As signal to noise ratio is a critical factor in determining the clarity of the bird vocalizations, it is necessary to remove this noise before actual signal processing. The main aim of this research w
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"Analyzing the Structure of Bird Vocalizations and Language: Finding Common Ground." In Birdsong, Speech, and Language. The MIT Press, 2013. http://dx.doi.org/10.7551/mitpress/9322.003.0017.

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Quinn, John E., Michele Speitz, Omar Carmenates, and Matthew Burtner. "The Audible Anthropocene." In Sounds, Ecologies, Musics. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197546642.003.0012.

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Abstract Collaborative spaces and shared objects are needed to address grand challenges in sustainability. In this manuscript, we describe how sound and birds spurred a novel collaboration, performance, and subsequent unique co-learning and development. Linking literary scholarship, ecology, and percussion, we translated multiple types of evidence into an avant-garde musical composition, Avian Telemetry (Burtner 2018). This composition paired “records” of Romantic poetry’s avian lyrics with contemporary field recordings and ecological measures of changing soundscapes and bird vocalizations ada
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Agrawal, Arun, Anuja Manoj Chavan, Swati Nilesh Pawar, et al. "The Synergy of Artificial Intelligence and Animal Communication." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-4571-0.ch011.

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AI is revolutionizing our understanding of animal inner lives by decoding meanings in vocalizations, gestures &amp; body language, illuminating emotions, relationships &amp; cognition. Machine learning identifies subtle cues in whale song, primate calls &amp; bird chirps, while computer vision tracks eye gaze &amp; posture. Large datasets fuel AI pattern recognition for predictive models impossible manually. However, AI must be tailored to species-specific contexts, avoid anthropomorphic bias &amp; collaborate with animal experts despite limited data. AI could vastly enrich our grasp of animal
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Zahavi, Amotz Avishag. "Prey-Predator Interactions." In The Handicap Principle. Oxford University PressNew York, NY, 1997. http://dx.doi.org/10.1093/oso/9780195100358.003.0001.

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Abstract Babblers move around their territory during the day, looking for food on the ground among the desert trees and bushes. One of the group often perches on a treetop, acting as sentinel. When the sentinel, or any other babbler, sees a bird of prey, or raptor, in the distance, it emits a loud “bark.” Upon hearing such barks, babblers often raise their heads and scan the sky. If the raptor is far away and does not pose any immediate danger to the feeding group, they go on searching for food. But when an abrupt, frightened bark indicates imminent danger, the birds, including the sentinel, i
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Aplin, Lucy. "Social Learning and Culture in Birds (class Aves)." In The Oxford Handbook of Cultural Evolution. Oxford University Press, 2024. http://dx.doi.org/10.1093/oxfordhb/9780198869252.013.26.

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Abstract Birds have emerged as important experimental systems for the study of culture and cultural evolution. There is also increasing evidence from wild birds of social learning, cultural inheritance, and culture across diverse taxa and behavioural domains. In this chapter the author reviews these dual literatures, focusing on three behavioural domains where most work has been concentrated: vocalizations, migration, and foraging. The author then discusses how studies in birds have shown that the spread of innovations and establishment of new cultures can be a source of behavioural flexibilit
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Rogers, Susan Fox. "Chiuit." In Learning the Birds. Cornell University Press, 2022. http://dx.doi.org/10.7591/cornell/9781501762246.003.0015.

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This chapter recounts the author's birding trip to Nome, Alaska, where she looked for the Bristle-thighed Curlew. The most common call of the Bristle-thighed is a basic chiu-eet, which is why the Yupʻik Eskimo call them the Chiuit. The Curlew's song, however, is one that has been described in all of its layered complexity. Nuptial vocalizations include “Sweeping portamentos, dramatic frequency spikes, and multiple patterns of sequential frequency shifts.” Additionally, there is the low whistle “similar to warning beeps of dump trucks in reverse” and the complex whistle and the whine. Empty lan
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Conference papers on the topic "Bird vocalizations"

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Parushev, Plamen, Prolet Deneva, Zoya Tsoneva, and Ginka Marinova. "A Method for Creating a Criterion-referenced Assessment of Bird Vocalization Recognition." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811275.

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O'Reilly, Colm, Nicola M. Marples, David J. Kelly, and Naomi Harte. "Quantifying difference in vocalizations of bird populations." In Interspeech 2015. ISCA, 2015. http://dx.doi.org/10.21437/interspeech.2015-677.

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Barmatz, Hagai, Dana Klein, Yoni Vortman, Sivan Toledo, and Yizhar Lavner. "Segmentation and Analysis of Bird Trill Vocalizations." In 2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE). IEEE, 2018. http://dx.doi.org/10.1109/icsee.2018.8646070.

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Terasaka, Diego T., Luiz E. Martins, Virginia A. dos Santos, Thiago M. Ventura, Allan G. de Oliveira, and Gabriel de S. G. Pedroso. "Audio Segmentation to Build Bird Training Datasets." In Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/wcama.2024.2055.

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To create a bird classification model, it is necessary to have training datasets with thousands of samples. Automating this task is possible, but the first step is being able to segment soundscapes by identifying bird vocalizations. In this study, we address this issue by testing four methods for audio segmentation, the Librosa Library, Few-Shot Learning technique: the BirdNET Framework, and a Bird Classification Model called Perch. The results show that the best method for the purpose of this work was BirdNET, achieving the highest values for precision, accuracy, and F1-score.
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Deneva, Prolet, and Todor Ganchev. "Automatic recognition of the characteristic melody of bird vocalizations." In 2019 International Conference on Biomedical Innovations and Applications (BIA). IEEE, 2019. http://dx.doi.org/10.1109/bia48344.2019.8967458.

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Suzuki, Reiji, Hao Zhao, Shinji Sumitani, et al. "Visualizing Directional Soundscapes of Bird Vocalizations Using Robot Audition Techniques." In 2021 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2021. http://dx.doi.org/10.1109/ieeeconf49454.2021.9382639.

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Abzaliev, Artem, Katsumi Ibaraki, Kohei Shibata, and Rada Mihalcea. "Vocalizations of the Parus minor Bird: Taxonomy and Automatic Classification." In ACI 2024: The International Conference on Animal-Computer Interaction. ACM, 2024. http://dx.doi.org/10.1145/3702336.3702344.

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Barmatz, Hagai, Dana Klein, Yoni Vortman, Sivan Toledo, and Yizhar Lavner. "A Method for Automatic Segmentation and Parameter Estimation of Bird Vocalizations." In 2019 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2019. http://dx.doi.org/10.1109/iwssip.2019.8787282.

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B, Abdul Naeem, Shree Varshan B, Vinay Narayanan V, M. Hemalatha, and Tunga Kartikeya Reddy. "Bioacoustic Estimation Of Avian Vocalizations For Capuchin Bird Density In Forests." In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2024. http://dx.doi.org/10.1109/sceecs61402.2024.10482020.

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Patti, Anand, and Geoffrey A. Williamson. "Methods for classification of nocturnal migratory bird vocalizations using Pseudo Wigner-Ville Transform." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6637750.

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Reports on the topic "Bird vocalizations"

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Gaurav Singh, Gaurav Singh. Why do distantly related bird species respond to one another's vocalizations? Experiment, 2023. http://dx.doi.org/10.18258/57068.

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Buehler, David, Richard Fischer, John Wilkerson, et al. Demonstration of autonomous aerial acoustic recording systems to inventory Department of Defense bird populations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39921.

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Abstract:
This demonstration project addressed the Department of Defense need for innovative technology for monitoring avian populations in inaccessible areas. This report presents results from field validation tests for an autonomous aerial acoustic recording system, a helium-filled weather balloon that transported an instrument payload over inaccessible areas (e.g., ordnance impact areas) to record avian vocalizations.
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