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Journal articles on the topic 'Bird vocalizations'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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Czyżowski, Piotr, Sławomir Beeger, Mariusz Wójcik, Dorota Jarmoszczuk, Mirosław Karpiński, and Marian Flis. "Analysis of the Territorial Vocalization of the Pheasants Phasianus colchicus." Animals 12, no. 22 (2022): 3209. http://dx.doi.org/10.3390/ani12223209.

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The aim of the study was to assess the impact of the duration of the mating season and the time of day on the parameters of the vocalization pheasants (duration of vocalization, frequency of the sound wave, intervals between vocalizations). In the study, pheasant vocalization recorded in the morning (600–800) and in the afternoon (1600–1800) between April and June 2020 was analyzed. In total, the research material consisted of 258 separate vocalizations. After recognition of the individual songs of each bird, frequency-time indicators were collected from the samples to perform statistical anal

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Derégnaucourt, Sébastien, Alice Araguas, and Bahia Guellaï. "Technological advances for getting insight into the learning capacities of birds in the vocal domain." Interaction Studies 24, no. 2 (2023): 289–310. http://dx.doi.org/10.1075/is.22043.der.

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Abstract Birds produce different types of sounds in different contexts such as begging for food in youngsters, alerting to a danger, defending a territory or attracting a sexual partner. About half of the bird species are able to transform their vocalizations through imitation, improvisation or invention of sounds. Here we review the different experimental procedures that have been used to study the learning capacities of birds in the vocal domain and in the auditory domain, with a particular emphasis on recent technological developments. Nowadays, it is possible to record individual vocalizat

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Pedroza, Angel David, José I. De la Rosa, Rogelio Rosas, et al. "Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function." Applied Sciences 10, no. 7 (2020): 2382. http://dx.doi.org/10.3390/app10072382.

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A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): au

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14

Blumstein, Daniel T. "The evolution of functionally referential alarm communication." Evolution of Communication 3, no. 2 (1999): 135–47. http://dx.doi.org/10.1075/eoc.3.2.03blu.

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Many species produce specific alarm vocalizations when they encounter predators. There is considerable interest in the degree to which bird, ground-dwelling sciurid rodent, and primate alarm calls denote the species or type of predator that elicited the vocalization. When there is a tight association between the type or species of predator eliciting an alarm call, and when a played-back alarm call elicits antipredator responses qualitatively similar to those seen when individuals personally encounter a predator, the alarm calls are said to be functionally referential. In this essay I aim to ma

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Pepperberg, Irene M. "Referential mapping: A technique for attaching functional significance to the innovative utterances of an African Grey parrot (Psittacus erithacus)." Applied Psycholinguistics 11, no. 1 (1990): 23–44. http://dx.doi.org/10.1017/s0142716400008274.

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ABSTRACTA set of procedures called referential mapping has been used to assign meaning to spontaneous vocalizations of an African Grey parrot. These spontaneous vocalizations were combinations and phonological variations of specific vocal English labels that the bird had previously acquired in a study on interspecies communication. These recombinations were not necessarily intentionally used to describe or request novel objects or circumstances, even though our earlier data demonstrated that the bird could use vocalizations referentially and intentionally to identify, request, refuse, and cate

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Larsen, O. N., and F. Gollerf. "Role of syringeal vibrations in bird vocalizations." Proceedings of the Royal Society of London. Series B: Biological Sciences 266, no. 1429 (1999): 1609–15. http://dx.doi.org/10.1098/rspb.1999.0822.

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Parra-Hernández, Ronald M., Jorge I. Posada-Quintero, Orlando Acevedo-Charry, and Hugo F. Posada-Quintero. "Uniform Manifold Approximation and Projection for Clustering Taxa through Vocalizations in a Neotropical Passerine (Rough-Legged Tyrannulet, Phyllomyias burmeisteri)." Animals 10, no. 8 (2020): 1406. http://dx.doi.org/10.3390/ani10081406.

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Vocalizations from birds are a fruitful source of information for the classification of species. However, currently used analyses are ineffective to determine the taxonomic status of some groups. To provide a clearer grouping of taxa for such bird species from the analysis of vocalizations, more sensitive techniques are required. In this study, we have evaluated the sensitivity of the Uniform Manifold Approximation and Projection (UMAP) technique for grouping the vocalizations of individuals of the Rough-legged Tyrannulet Phyllomyias burmeisteri complex. Although the existence of two taxonomic

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18

Zhao, Yilin, Jingli Yan, Jiali Jin, et al. "Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis." Forests 13, no. 2 (2022): 264. http://dx.doi.org/10.3390/f13020264.

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In the context of rapid urbanization, urban foresters are actively seeking management monitoring programs that address the challenges of urban biodiversity loss. Passive acoustic monitoring (PAM) has attracted attention because it allows for the collection of data passively, objectively, and continuously across large areas and for extended periods. However, it continues to be a difficult subject due to the massive amount of information that audio recordings contain. Most existing automated analysis methods have limitations in their application in urban areas, with unclear ecological relevance

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Zhao, Yilin, Jingli Yan, Jiali Jin, et al. "Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis." Forests 13, no. 2 (2022): 264. https://doi.org/10.3390/f13020264.

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In the context of rapid urbanization, urban foresters are actively seeking management monitoring programs that address the challenges of urban biodiversity loss. Passive acoustic monitoring (PAM) has attracted attention because it allows for the collection of data passively, objectively, and continuously across large areas and for extended periods. However, it continues to be a difficult subject due to the massive amount of information that audio recordings contain. Most existing automated analysis methods have limitations in their application in urban areas, with unclear ecological relevance

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Blumstein, Daniel T., Douglas R. Mcclain, Carrie De Jesus, and Gustavo Alarcón-Nieto. "Breeding bird density does not drive vocal individuality." Current Zoology 58, no. 5 (2012): 765–72. http://dx.doi.org/10.1093/czoolo/58.5.765.

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Abstract Many species produce individually specific vocalizations and sociality is a hypothesized driver of such individuality. Previous studies of how social variation influenced individuality focused on colonial or non-colonial avian species, and how social group size influenced individuality in sciurid rodents. Since sociality is an important driver of individuality, we expected that bird species that defend nesting territories in higher density neighborhoods should have more individually-distinctive calls than those that defend nesting territories in lower-density neighborhoods. We used Be

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Moura, Daniella Jorge de, Irenilza de Alencar Nääs, Elaine Cangussu de Souza Alves, Thayla Morandi Ridolfi de Carvalho, Marcos Martinez do Vale, and Karla Andrea Oliveira de Lima. "Noise analysis to evaluate chick thermal comfort." Scientia Agricola 65, no. 4 (2008): 438–43. http://dx.doi.org/10.1590/s0103-90162008000400018.

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The relationship between thermal environment and chick performance has widely been evaluated, however the consideration that the assessment of the comfort may be estimated by interpreting both amplitude and frequency of bird vocalization under tropical housing conditions is a new concept. This research had as objective of estimating thermal comfort for chicks during the heating phase using this new concept. An experiment was carried out inside a climate controlled chamber (A) for establishing the behavioral pattern related to environmental temperature limits. Forty five chicks were reared insi

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Kasture,, Rajlaxmi. "Bird Sound Prediction." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04157.

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ABSTRACT - This paper presents a machine learning-based system designed for recognizing bird species from their vocalizations. Leveraging Artificial Neural Networks (ANNs), specifically a Multilayer Perceptron (MLP), the system processes pre-recorded bird calls, extracts Mel Frequency Cepstral Coefficients (MFCCs), and classifies the sound using a trained ANN model. The proposed system is computationally efficient and accurate, making it a valuable tool for ecological research and conservation. The system is deployed via a user-friendly Flask web interface for real-time usage. Keywords: Bird S

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O’Reilly, Colm, Naomi Harte, and Hynek Burda. "Pitch tracking of bird vocalizations and an automated process using YIN-bird." Cogent Biology 3, no. 1 (2017): 1322025. http://dx.doi.org/10.1080/23312025.2017.1322025.

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HORNE, JENNIFER F. M., and LESTER L. SHORT. "AFROTROPICAL BIRD VOCALIZATIONS: A REVIEW OF CURRENT PROBLEMS." Bioacoustics 1, no. 2-3 (1988): 159–70. http://dx.doi.org/10.1080/09524622.1988.9753089.

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Hetsevich, Y. S., Ya S. Zianouka, A. A. Bakunovich, D. A. Zhalava, and T. G. Shagava. "Automation of bird voice signal analysis." Informatics 21, no. 4 (2024): 58–71. https://doi.org/10.37661/1816-0301-2024-21-4-58-71.

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Objectives. The purpose of the work is to create an experimental software for automated recognition of voice signals, which has the capabilities of long-term round-the-clock and round-the-season monitoring of animal species diversity in selected habitats and ecosystems.Methods. The work uses methods of deep machine learning of convolutional neural networks trained on mel-spectrograms of bird vocalizations, which are built using fast Fourier transform.Results. The process, methods and approaches to training a deep machine learning model for a system of passive acoustic monitoring of bird popula

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Schieck, Jim. "Biased Detection of Bird Vocalizations Affects Comparisons of Bird Abundance among Forested Habitats." Condor 99, no. 1 (1997): 179–90. http://dx.doi.org/10.2307/1370236.

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Nicol, C. J., and S. J. Pope. "A Comparison of the Behaviour of Solitary and Group-Housed Budgerigars." Animal Welfare 2, no. 3 (1993): 269–77. http://dx.doi.org/10.1017/s0962728600015918.

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AbstractA comparison was made of the behaviour of budgerigars housed singly in commercially available cages obtained from a pet supplier, and budgerigars housed in a group of six in a small aviary. Budgerigars housed in the aviary consumed significantly more food and were more active, performing more wing stretching and flying. Caged budgerigars performed significantly more vocalizations. When tested individually, aviary birds were more active in a novel test chamber and were significantly more likely to approach an unfamiliar bird. Cage birds were generally reluctant to approach an unfamiliar

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Pereira, Erica M., Irenilza de A. Nääs, and Rodrigo G. Garcia. "Identification of acoustic parameters for broiler welfare estimate." Engenharia Agrícola 34, no. 3 (2014): 413–21. http://dx.doi.org/10.1590/s0100-69162014000300004.

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Estimates of broiler welfare have subjective character. Nowadays, researchers seek non-invasive features or indicators that may describe this condition in animal production. The aim of this study was to identify acoustic parameters to estimate broiler welfare using the following five vocalization acoustic parameters: energy, spectral centroid, bandwidth, first formant, and second formant. The database that generated the model was obtained from a field experiment with 432 broilers, which half were Cobb® and half, Ross® breed, from day 21 to 42, containing bird vocalizations under either welfare

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Wolfgang, Andrew, and Aaron Haines. "Testing Automated Call-Recognition Software for Winter Bird Vocalizations." Northeastern Naturalist 23, no. 2 (2016): 249–58. http://dx.doi.org/10.1656/045.023.0206.

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Okanoya, Kazuo, and Robert J. Dooling. "Auditory filter simulations for perceptual processes of bird vocalizations." Neural Networks 1 (January 1988): 313. http://dx.doi.org/10.1016/0893-6080(88)90344-9.

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Kershenbaum, Arik, Amiyaal Ilany, Leon Blaustein, and Eli Geffen. "Syntactic structure and geographical dialects in the songs of male rock hyraxes." Proceedings of the Royal Society B: Biological Sciences 279, no. 1740 (2012): 2974–81. http://dx.doi.org/10.1098/rspb.2012.0322.

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Few mammalian species produce vocalizations that are as richly structured as bird songs, and this greatly restricts the capacity for information transfer. Syntactically complex mammalian vocalizations have been previously studied only in primates, cetaceans and bats. We provide evidence of complex syntactic vocalizations in a small social mammal: the rock hyrax ( Procavia capensis : Hyracoidea). We adopted three algorithms, commonly used in genetic sequence analysis and information theory, to examine the order of syllables in hyrax calls. Syntactic dialects exist, and the syntax of hyrax calls

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Noakes, David L. G., and Jeffrey D. Noakes. "A note on bird song: Samuel Hearne’s observations on the Snow Bunting (Plectrophenax nivalis)." Canadian Field-Naturalist 128, no. 3 (2014): 269. http://dx.doi.org/10.22621/cfn.v128i3.1606.

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In 1795, the Arctic explorer Samuel Hearne recorded detailed observations on the distribution, ecology, molt, and behaviour of the Snow Bunting (Plectrophenax nivalis). The most significant of his observations was that Snow Buntings imitated the vocalizations of Atlantic Canaries (Serinus canarius) when housed with that species. His account has apparently not been widely recognized by ornithologists, but it is one of the first such observations on bird’s acquisition of vocalizations.

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Sumitani, Shinji, Reiji Suzuki, Takaya Arita, Kazuhiro Nakadai, and Hiroshi G. Okuno. "Non-Invasive Monitoring of the Spatio-Temporal Dynamics of Vocalizations among Songbirds in a Semi Free-Flight Environment Using Robot Audition Techniques." Birds 2, no. 2 (2021): 158–72. http://dx.doi.org/10.3390/birds2020012.

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To understand the social interactions among songbirds, extracting the timing, position, and acoustic properties of their vocalizations is essential. We propose a framework for automatic and fine-scale extraction of spatial-spectral-temporal patterns of bird vocalizations in a densely populated environment. For this purpose, we used robot audition techniques to integrate information (i.e., the timing, direction of arrival, and separated sound of localized sources) from multiple microphone arrays (array of arrays) deployed in an environment, which is non-invasive. As a proof of concept of this f

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Duque, F. G., C. A. Rodriguez-Saltos, S. Uma, et al. "High-frequency hearing in a hummingbird." Science Advances 6, no. 29 (2020): eabb9393. http://dx.doi.org/10.1126/sciadv.abb9393.

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Some hummingbirds produce unique high-frequency vocalizations. It remains unknown whether these hummingbirds can hear these sounds, which are produced at frequencies beyond the range at which most birds can hear. Here, we show behavioral and neural evidence of high-frequency hearing in a hummingbird, the Ecuadorian Hillstar (Oreotrochilus chimborazo). In the field, hummingbirds responded to playback of high-frequency song with changes in body posture and approaching behavior. We assessed neural activation by inducing ZENK expression in the brain auditory areas in response to the high-frequency

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Branfield, Andy. "Vocalizations of European Honey Buzzards (Pernis apivorus) in Southern Africa." Afrotropical Bird Biology: Journal of the Natural History of African Birds 1, no. 1 (2021): 1–6. http://dx.doi.org/10.15641/abb.v1i.1068.

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Contrary to some sources, the European Honey Buzzard is not silent in Africa. This study documents 51 records of the species vocalizing on the continent. Vocalizations were given by birds apparently encountered alone (n=30) and when accompanied by another European Honey Buzzard (n=22). Where age was known, 11 calling birds were adults and ten were juveniles. Where details were available, most calls were given by birds in flight (n=30), with 11 from perched birds and two from birds heard calling while both in flight and perched. In most cases the sex of the bird was not recorded (n=42) and youn

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Baklová, Aneta, Eva Baranyiová, and Hana Šimánková. "Antipredator behaviour of domestic guinea pigs (Cavia porcellus)." Acta Veterinaria Brno 85, no. 3 (2016): 293–301. http://dx.doi.org/10.2754/avb201685030293.

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The objective of this study was to test the reactions of domestic guinea pigs to the presence of aerial and terrestrial predators in a laboratory setting. We measured the behavioural reactions of 27 adolescent guinea pigs to the presence of a dog, imitation of a bird of prey and an unknown human as control. Kruskal-Wallis ANOVA and Mann-Whitney U Test were used to analyse the differences in duration and frequency of responses (freezing, fleeing, and vigilance) to predators. When confronted with the dog, guinea pigs reacted for the longest time and most frequently by freezing. In presence of th

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Bhama, Prabhat K., Allen D. Hillel, Albert L. Merati, and David Perkel. "Model for Examining Recovery of Phonation after Nerve Damage." Otolaryngology–Head and Neck Surgery 139, no. 2_suppl (2008): P97. http://dx.doi.org/10.1016/j.otohns.2008.05.512.

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Problem Recurrent laryngeal nerve injury remains a dominant clinical issue in laryngology. To date, no animal model of laryngeal reinnervation has offered an outcome measure that can reflect the degree of recovery based on vocal function. We present an avian model system for studying recovery of learned vocalizations following nerve injury. Methods Digital recordings of bird song were made from 11 adult male zebra finches; 9 underwent bilateral crushing of the nerve supplying the vocal organ, and two birds underwent sham surgery. Song from all birds was then recorded regularly and analyzed bas

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Deneva, Prolet, and Todor Ganchev. "GMM-Based Parameterization of the Characteristic Melody of Bird Vocalizations." Geometry Integrability and Quantization 21 (2020): 118–26. http://dx.doi.org/10.7546/giq-21-2020-118-126.

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Sandoval, Luis. "Transmission properties of vocalizations in a year-round territorial bird." Journal of the Acoustical Society of America 138, no. 3 (2015): 1903. http://dx.doi.org/10.1121/1.4933982.

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Narins, Peter M., Albert S. Feng, Wenyu Lin, et al. "Old World frog and bird vocalizations contain prominent ultrasonic harmonics." Journal of the Acoustical Society of America 115, no. 2 (2004): 910–13. http://dx.doi.org/10.1121/1.1636851.

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Chen, Zhixin, and Robert C. Maher. "Semi-automatic classification of bird vocalizations using spectral peak tracks." Journal of the Acoustical Society of America 120, no. 5 (2006): 2974–84. http://dx.doi.org/10.1121/1.2345831.

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Hammerschmidt, K., K. Radyushkin, H. Ehrenreich, and J. Fischer. "Female mice respond to male ultrasonic ‘songs’ with approach behaviour." Biology Letters 5, no. 5 (2009): 589–92. http://dx.doi.org/10.1098/rsbl.2009.0317.

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The ultrasonic vocalizations of mice are attracting increasing attention, because they have been recognized as an informative readout in genetically modified strains. In addition, the observation that male mice produce elaborate sequences of ultrasonic vocalizations (‘song’) when exposed to female mice or their scents has sparked a debate as to whether these sounds are—in terms of their structure and function—analogous to bird song. We conducted playback experiments with cycling female mice to explore the function of male mouse songs. Using a place preference design, we show that these vocaliz

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Freitas, Ellen F., Edward Ball, Fernando F. Fernandes, Deuslene M. Ferreira, and Luciano Trevisan. "Behaviour of native birds and analysis of vocalizations, in a small reforested urban space near downtown Goiânia, Goiás state, Brazil." International Journal of Avian & Wildlife Biology 7, no. 2 (2023): 69–79. http://dx.doi.org/10.15406/ijawb.2023.07.00193.

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Due to habitat loss, several bird species that are dependent on forest environments seek refuge in green spaces within cities. The objective this study was to verify if the afforestation with autochthonous fruit trees of a small urban space could provide enough resources as food, shelter, and substrate for nesting of autochthonous bird species. Between June 2020-May 2021, during the covid-19 pandemic we observed the activity of bird species that visited a small forested urban space in Goiânia, Brazil. We recorded the behavioural activities of the birds using the focal animal technique, recordi

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Wu, Shih-Hung, Jerome Chie-Jen Ko, Ruey-Shing Lin, Chia-Hao Chang-Yang, and Hsueh-Wen Chang. "Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests." F1000Research 12 (October 11, 2023): 1299. http://dx.doi.org/10.12688/f1000research.141951.1.

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Background: Passive acoustic monitoring (PAM) has become a popular tool for bird monitoring, with vocal activity rate (VAR) being a key metric to gauge bird populations. However, the effective temporal sampling design at the community level for representative VAR data remains underexplored. Methods: In this study, we used vocalizations extracted from recordings of 12 bird species, taken at 14 PAM stations situated in subtropical montane forests over a four-month period, to assess the impact of temporal sampling on VAR across three distinct scales: seasonal, diel, and hourly. For seasonal sampl

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Wu, Shih-Hung, Jerome Chie-Jen Ko, Ruey-Shing Lin, Chia-Hao Chang-Yang, and Hsueh-Wen Chang. "Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests." F1000Research 12 (January 23, 2024): 1299. http://dx.doi.org/10.12688/f1000research.141951.2.

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Background From passive acoustic monitoring (PAM) recordings, the vocal activity rate (VAR), vocalizations per unit of time, can be calculated and is essential for assessing bird population abundance. However, VAR is subject to influences from a range of factors, including species and environmental conditions. Identifying the optimal sampling design to obtain representative acoustic data for VAR estimation is crucial for research objectives. PAM commonly uses temporal sampling strategies to decrease the volume of recordings and the resources needed for audio data management. Yet, the comprehen

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Seddon, Nathalie, Adriana Alvarez, and Joseph Tobias. "VOCAL COMMUNICATION IN THE PALE-WINGED TRUMPETER (PSOPHIA LEUCOPTERA): REPERTOIRE, CONTEXT AND FUNCTIONAL REFERENCE." Behaviour 139, no. 10 (2002): 1331–59. http://dx.doi.org/10.1163/156853902321104190.

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AbstractAdult pale-winged trumpeters produce a varied repertoire of vocalizations: apart from one loud 'tremolo song' we recorded 11 structurally discrete close-range calls, one of which (the 'mew') was individually distinct. There was significant variation across vocalization type with respect to the identity and behaviour of the caller and the response of the receiver(s). It was possible to group vocalizations into six broad contextual classes: alarm, recruitment, social, contact, feeding and territory defence. On detection of danger, trumpeters gave two acoustically different calls, one for

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Hart, Vlastimil, Richard Policht, Vojtěch Jandák, Marek Brothánek, and Hynek Burda. "Low frequencies in the display vocalization of the Western Capercaillie (Tetrao urogallus)." PeerJ 8 (July 8, 2020): e9189. http://dx.doi.org/10.7717/peerj.9189.

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Only a few bird species are known to produce low-frequency vocalizations. We analyzed the display vocalizations of Western Capercaillie males kept in breeding centers and identified harmonically structured signals with a fundamental frequency of 28.7 ± 1.2 Hz (25.6–31.6 Hz). These low-frequency components temporally overlap with the Whetting phase (96% of its duration) and they significantly contribute to the distinct vocal expression between individuals. The resulting model of discrimination analysis classified 67.6% vocalizations (63%, cross-validated result) correctly to the specific indivi

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Goodale, Eben, and Sarath W. Kotagama. "Testing the roles of species in mixed-species bird flocks of a Sri Lankan rain forest." Journal of Tropical Ecology 21, no. 6 (2005): 669–76. http://dx.doi.org/10.1017/s0266467405002609.

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Studies of mixed-species bird flocks have found that ‘nuclear’ species, those important to flock coherence, are either intraspecifically gregarious or are ‘sentinel’ species highly sensitive to predators. Both types of species are present in flocks of a Sri Lankan rain forest: orange-billed babblers (Turdoides rufescens Blyth) are highly gregarious, whereas greater racket-tailed drongos (Dicrurus paradiseus Linnaeus) are less so, but more sensitive and reliable alarm-callers. We hypothesized that flock participants would be attracted to the playback of both species more than to the clearly non

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Beckers, Gabriël J. L., Robert C. Berwick, and Johan J. Bolhuis. "Comparative analyses of speech and language converge on birds." Behavioral and Brain Sciences 37, no. 6 (2014): 547–48. http://dx.doi.org/10.1017/s0140525x13003956.

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AbstractUnlike nonhuman primates, thousands of bird species have articulatory capabilities that equal or surpass those of humans, and they develop their vocalizations through vocal imitation in a way that is very similar to how human infants learn to speak. An understanding of how speech mechanisms have evolved is therefore unlikely to yield key insights into how the human brain is special.

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Dermi, Devi Fauzia, Agung Sedayu, and Ratna Komala. "VARIASI POLA VOKALISASI PADA TAKSONOMI ANAK JENIS ELANG-ULAR (Spilornis cheela) DI PKEK, GARUT, JAWA BARAT." BIOMA 13, no. 2 (2018): 1–9. http://dx.doi.org/10.21009/bioma13(2).1.

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Crested serpent eagle (Spilornis cheela) is a bird of prey with distinctive of uniue vocal. Based on several studies mentioned that there are differences in vocalization at the level of subspecies and is often used to study the role vocalization defining the subspecies in taxonomy. This research aimed to determine the role variation of vocalization pattern in taxonomy on subspecies eagle. The research was conducted from May to September 2017 at Kamojang Eagle Conservation Center. The method used is descriptive method with continuous sampling technique. The samples was an adult eagle from three

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