Pub Date : 2025-01-01Epub Date: 2025-06-02DOI: 10.1080/09524622.2025.2500380
Paul Best, Marcelo Araya-Salas, Axel G Ekström, Bárbara Freitas, Frants H Jensen, Arik Kershenbaum, Adriano R Lameira, Kenna D S Lehmann, Pavel Linhart, Robert C Liu, Malavika Madhavan, Andrew Markham, Marie A Roch, Holly Root-Gutteridge, Martin Šálek, Grace Smith-Vidaurre, Ariana Strandburg-Peshkin, Megan R Warren, Matthew Wijers, Ricard Marxer
The fundamental frequency (F0) is a key parameter for characterising structures in vertebrate vocalisations, for instance defining vocal repertoires and their variations at different biological scales ( e.g population dialects, individual signatures). However, the task is too laborious to perform manually, and its automation is complex. Despite significant advancements in the fields of speech and music for automatic F0 estimation, similar progress in bioacoustics has been limited. To address this gap, we compile and publish a benchmark dataset of over 250,000 calls from 14 taxa, each paired with ground truth F0 values. These vocalisations range from infra-sounds to ultra-sounds, from high to low harmonicity, and some include non-linear phenomena. Testing different algorithms on these signals, we demonstrate the potential of neural networks for F0 estimation, even for taxa not seen in training, or when trained without labels. Also, to inform on the applicability of algorithms to analyse signals, we propose spectral measurements of F0 quality which correlate well with performance. While current performance results are not satisfying for all studied taxa, they suggest that deep learning could bring a more generic and reliable bioacoustic F0 tracker, helping the community to analyse vocalisations via their F0 contours.
{"title":"Bioacoustic fundamental frequency estimation: a cross-species dataset and deep learning baseline.","authors":"Paul Best, Marcelo Araya-Salas, Axel G Ekström, Bárbara Freitas, Frants H Jensen, Arik Kershenbaum, Adriano R Lameira, Kenna D S Lehmann, Pavel Linhart, Robert C Liu, Malavika Madhavan, Andrew Markham, Marie A Roch, Holly Root-Gutteridge, Martin Šálek, Grace Smith-Vidaurre, Ariana Strandburg-Peshkin, Megan R Warren, Matthew Wijers, Ricard Marxer","doi":"10.1080/09524622.2025.2500380","DOIUrl":"10.1080/09524622.2025.2500380","url":null,"abstract":"<p><p>The fundamental frequency (F0) is a key parameter for characterising structures in vertebrate vocalisations, for instance defining vocal repertoires and their variations at different biological scales ( <i>e.g</i> population dialects, individual signatures). However, the task is too laborious to perform manually, and its automation is complex. Despite significant advancements in the fields of speech and music for automatic F0 estimation, similar progress in bioacoustics has been limited. To address this gap, we compile and publish a benchmark dataset of over 250,000 calls from 14 taxa, each paired with ground truth F0 values. These vocalisations range from infra-sounds to ultra-sounds, from high to low harmonicity, and some include non-linear phenomena. Testing different algorithms on these signals, we demonstrate the potential of neural networks for F0 estimation, even for taxa not seen in training, or when trained without labels. Also, to inform on the applicability of algorithms to analyse signals, we propose spectral measurements of F0 quality which correlate well with performance. While current performance results are not satisfying for all studied taxa, they suggest that deep learning could bring a more generic and reliable bioacoustic F0 tracker, helping the community to analyse vocalisations via their F0 contours.</p>","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":"34 4","pages":"419-446"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12387860/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1080/09524622.2023.2270486
Daniele Roccazzello, Orlando Tomassini, Elena Bernardini, Alessandro Massolo, Marco Dragonetti, Dimitri Giunchi
ABSTRACTVocal individuality has been widely documented in the Tawny owl (Strix aluco); however, all statistical tools employed thus far to discriminate individual vocalisations have relied on prior knowledge regarding number and identity of individuals. In this study, we tested the effectiveness of four unsupervised clustering algorithms in distinguishing among eight Tawny owl males, solely based on acoustic characteristics of their vocalisations. We also employed both traditional bound-based and robust measurements of acoustic signal to compare their efficacy. We finally evaluated the applicability of this method in identifying the number and distribution of the remaining males recorded in our study area. Three of the four unsupervised techniques had a high rate of success in discriminating among vocalisations of the eight males. In all cases, the best results were obtained using robust measurements. However, when extending the analysis to the remaining unknown males recorded, the highest rate of misclassification errors made results more difficult to interpret. Our study provided a useful tool to discriminate male Tawny owls when only their call recordings are available. Furthermore, this method could be extended to other nocturnal and vociferous species, representing one of the few existing approaches for unsupervised classification of individuals based on acoustic features.KEYWORDS: Hierarchical clusterindividual discriminationrobust signal measurementsunsupervised clusteringunsupervised classificationvocal individuality AcknowledgementsThe authors would like to thank the University of Pisa Working group (Tavolo Tecnico) for the Monte Pisano fires, which is dedicated to support the local community to study the effects of fires and to promote restoration of burnt areas. Moreover, we would like to thank Regione Toscana, the University of Pisa and the Department of Biology for funding the PhD scholarship for Tomassini Orlando following the recommendation provided by the Tavolo Tecnico. In particular, we would like to thank Gianni Bedini and Giulio Petroni for the financial support. Our thanks go to Elisabetta Palagi for providing us with the software Raven Pro. We extend our appreciation to Marta Berti, Giulia Cerritelli and Pietro Valente and for their help with data collection in the field. Additionally, we are grateful to Lorenzo Vanni and Luca Puglisi for their advice on data collection. Lastly, we are indebted to John Kastelic for his valuable assistance in refining the written content.Author contributionsDaniele Roccazzello, together with Orlando Tomassini, conducted the fieldwork, acoustical and statistical analyses, and wrote the manuscript. Elena Bernardini contributed to the fieldwork and acoustical analysis. Marco Dragonetti directed the acoustic analysis and edited the manuscript. Alessandro Massolo suggested statistical analyses and edited the manuscript. Dimitri Giunchi supervised and supported the overall study and also edited the
{"title":"Unsupervised discrimination of male Tawny owls ( <i>Strix aluco</i> ) individual calls using robust measurements of the acoustic signal","authors":"Daniele Roccazzello, Orlando Tomassini, Elena Bernardini, Alessandro Massolo, Marco Dragonetti, Dimitri Giunchi","doi":"10.1080/09524622.2023.2270486","DOIUrl":"https://doi.org/10.1080/09524622.2023.2270486","url":null,"abstract":"ABSTRACTVocal individuality has been widely documented in the Tawny owl (Strix aluco); however, all statistical tools employed thus far to discriminate individual vocalisations have relied on prior knowledge regarding number and identity of individuals. In this study, we tested the effectiveness of four unsupervised clustering algorithms in distinguishing among eight Tawny owl males, solely based on acoustic characteristics of their vocalisations. We also employed both traditional bound-based and robust measurements of acoustic signal to compare their efficacy. We finally evaluated the applicability of this method in identifying the number and distribution of the remaining males recorded in our study area. Three of the four unsupervised techniques had a high rate of success in discriminating among vocalisations of the eight males. In all cases, the best results were obtained using robust measurements. However, when extending the analysis to the remaining unknown males recorded, the highest rate of misclassification errors made results more difficult to interpret. Our study provided a useful tool to discriminate male Tawny owls when only their call recordings are available. Furthermore, this method could be extended to other nocturnal and vociferous species, representing one of the few existing approaches for unsupervised classification of individuals based on acoustic features.KEYWORDS: Hierarchical clusterindividual discriminationrobust signal measurementsunsupervised clusteringunsupervised classificationvocal individuality AcknowledgementsThe authors would like to thank the University of Pisa Working group (Tavolo Tecnico) for the Monte Pisano fires, which is dedicated to support the local community to study the effects of fires and to promote restoration of burnt areas. Moreover, we would like to thank Regione Toscana, the University of Pisa and the Department of Biology for funding the PhD scholarship for Tomassini Orlando following the recommendation provided by the Tavolo Tecnico. In particular, we would like to thank Gianni Bedini and Giulio Petroni for the financial support. Our thanks go to Elisabetta Palagi for providing us with the software Raven Pro. We extend our appreciation to Marta Berti, Giulia Cerritelli and Pietro Valente and for their help with data collection in the field. Additionally, we are grateful to Lorenzo Vanni and Luca Puglisi for their advice on data collection. Lastly, we are indebted to John Kastelic for his valuable assistance in refining the written content.Author contributionsDaniele Roccazzello, together with Orlando Tomassini, conducted the fieldwork, acoustical and statistical analyses, and wrote the manuscript. Elena Bernardini contributed to the fieldwork and acoustical analysis. Marco Dragonetti directed the acoustic analysis and edited the manuscript. Alessandro Massolo suggested statistical analyses and edited the manuscript. Dimitri Giunchi supervised and supported the overall study and also edited the","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":"35 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-23DOI: 10.1080/09524622.2023.2268579
C.B. De Araújo, J.P. Zurano, I.M.D. Torres, C.R.M.A. Simões, G.L.M. Rosa, A.G. Aguiar, W. Nogueira, H.A.L.S. Vilela, G. Magnago, B.T. Phalan, G.A. Zurita
ABSTRACTPassive acoustic monitoring (PAM) has become increasingly popular in monitoring biodiversity. It produces large amounts of data and can provide a foundation for understanding the long-term consequences of environmental degradation. However, extracting biological information from such extensive datasets can be challenging and requires advanced computational skills. Herein, we introduce a streamlined workflow for detecting acoustic signals of three critically endangered birds: Cherry-throated Tanager (Nemosia rourei), Alagoas Antwren (Myrmotherula snowi), and Blue-eyed Ground-dove (Columbina cyanopis). As these species are among the world’s most endangered birds, locating new populations is a top priority. We chose potential templates based on the acoustic parameters of the vocal repertoire and evaluated their performance using soundscapes with known composition (gold standard data). To evaluate the efficiency of the templates, we used precision and recall metrics and found that achieving high precision rates comes at the cost of recall rates. Although we used gold standard data to calibrate our algorithm, large-scale validations have revealed the limitations as some templates have exhibited significantly lower precision values. The use of binomial models helped reset precision values to 90%. Our workflow can process large amounts of data efficiently, helping to monitor populations of these critically endangered species, locate new populations and evaluate population dynamics.KEYWORDS: PAMbioacousticsconservationNemosia roureiMyrmotherula snowiColumbina cyanopis AcknowledgementsWe wish to thank all field personnel that work hard to keep the lights on. CONICET provided a post-doc fellowship to CBdA.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Consejo Nacional de Investigaciones Científicas y Técnicas.
{"title":"The sound of hope: searching for critically endangered species using acoustic template matching","authors":"C.B. De Araújo, J.P. Zurano, I.M.D. Torres, C.R.M.A. Simões, G.L.M. Rosa, A.G. Aguiar, W. Nogueira, H.A.L.S. Vilela, G. Magnago, B.T. Phalan, G.A. Zurita","doi":"10.1080/09524622.2023.2268579","DOIUrl":"https://doi.org/10.1080/09524622.2023.2268579","url":null,"abstract":"ABSTRACTPassive acoustic monitoring (PAM) has become increasingly popular in monitoring biodiversity. It produces large amounts of data and can provide a foundation for understanding the long-term consequences of environmental degradation. However, extracting biological information from such extensive datasets can be challenging and requires advanced computational skills. Herein, we introduce a streamlined workflow for detecting acoustic signals of three critically endangered birds: Cherry-throated Tanager (Nemosia rourei), Alagoas Antwren (Myrmotherula snowi), and Blue-eyed Ground-dove (Columbina cyanopis). As these species are among the world’s most endangered birds, locating new populations is a top priority. We chose potential templates based on the acoustic parameters of the vocal repertoire and evaluated their performance using soundscapes with known composition (gold standard data). To evaluate the efficiency of the templates, we used precision and recall metrics and found that achieving high precision rates comes at the cost of recall rates. Although we used gold standard data to calibrate our algorithm, large-scale validations have revealed the limitations as some templates have exhibited significantly lower precision values. The use of binomial models helped reset precision values to 90%. Our workflow can process large amounts of data efficiently, helping to monitor populations of these critically endangered species, locate new populations and evaluate population dynamics.KEYWORDS: PAMbioacousticsconservationNemosia roureiMyrmotherula snowiColumbina cyanopis AcknowledgementsWe wish to thank all field personnel that work hard to keep the lights on. CONICET provided a post-doc fellowship to CBdA.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Consejo Nacional de Investigaciones Científicas y Técnicas.","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":"R-22 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135366572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1080/09524622.2023.2259327
Yannick Jadoul, Bart de Boer, Andrea Ravignani
Bioacoustics increasingly relies on large datasets and computational methods. The need to batch-process large amounts of data and the increased focus on algorithmic processing require software tools. To optimally assist in a bioacoustician’s workflow, software tools need to be as simple and effective as possible. Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. Whereas Praat is principally designed for phonetics and speech processing, plenty of bioacoustics studies have used its advanced acoustic algorithms. Here, we evaluate existing usage of Parselmouth and discuss in detail several studies which used the software library. We argue that Parselmouth has the potential to be used even more in bioacoustics research, and suggest future directions to be pursued with the help of Parselmouth.
{"title":"Parselmouth for bioacoustics: automated acoustic analysis in Python","authors":"Yannick Jadoul, Bart de Boer, Andrea Ravignani","doi":"10.1080/09524622.2023.2259327","DOIUrl":"https://doi.org/10.1080/09524622.2023.2259327","url":null,"abstract":"Bioacoustics increasingly relies on large datasets and computational methods. The need to batch-process large amounts of data and the increased focus on algorithmic processing require software tools. To optimally assist in a bioacoustician’s workflow, software tools need to be as simple and effective as possible. Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. Whereas Praat is principally designed for phonetics and speech processing, plenty of bioacoustics studies have used its advanced acoustic algorithms. Here, we evaluate existing usage of Parselmouth and discuss in detail several studies which used the software library. We argue that Parselmouth has the potential to be used even more in bioacoustics research, and suggest future directions to be pursued with the help of Parselmouth.","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-18DOI: 10.1080/09524622.2023.2251936
Safira Núbia Dias de Melo, Matheus Felipe de Souza Dias da Silva, Paulo Jorge Parreira dos Santos, Vívian Chimendes da Silva Neves, Bruna Martins Bezerra
ABSTRACTSea turtles have been considered the least vocal of living reptiles, but recent studies are changing this perception. Here, we aimed to investigate the acoustics of hatchlings of, Eretmochelys imbricata and Caretta caretta in Northeast Brazil, to describe their acoustic signals and compare sound structure within and between species. We monitored 13 km in Ipojuca, southern coast of Pernambuco State. We recorded five nests of each species and the hatchlings’ walk to the sea in 2020/2021. We recorded 12 sonotypes in C. caretta and 5 in E. imbricata, increasing the number of described signals. Nevertheless, not all sonotypes were produced by all or in the different developmental stages. Some of the sounds for both species reached ultrasonic frequencies. The sound structure varied between C. caretta nests, suggesting a potential vocal signature, but the sound structure had no variation between E. imbricata nests. The sound structure varied between species. Despite their reputation for being silent, this study shows a diverse acoustic repertoire in the target species, further supporting speculations of acoustic signals mediating the potential synchronisation of hatchlings’ departure to the sea. Our signal descriptions could be used for future passive acoustic monitoring of the target species. Future studies should focus on understanding the functionality of acoustic signals in the different life stages.KEYWORDS: Vocal signaturebioacousticsincubationTestudinesvocalisation AcknowledgementsWe thank the staff at the NGO Ecoassociados, who provided logistical support for the development of this work. We also thank professors Pedro Murilo Sales Nunes, Ednilza Maranhão dos Santos, Thyara Noely Simões, Artur Campos Dália Maia and Frederico Simão Hintze de Oliveira, for fruitful discussion during the Master dissertation defence and the comments on an earlier version of this manuscript. This study complied with Brazilian law and data collection was conducted under the SISBIO Licence number 75658. SM is supported by a Capes scholarship (Financial code: 001). BMB and the study were supported through FACEPE grants (BFT-01602.04/17; BFT-0014-2.05/20; APQ-1230-2.05/22) and CNPq productive grant (Grant number 309256/2019-4).Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData can be made available upon reasonable request.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/09524622.2023.2251936.Additional informationFundingThis work was supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) through a scholarship to SM (Financial code 001), and grants from FACEPE (Fundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco; grant codes: [BFT-01602.04/17; BFT-0014-2.05/20]) and from CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico; Grant number [309256/2019-4]) to BMB.
海龟一直被认为是现存爬行动物中声音最小的，但最近的研究正在改变这种看法。在此，我们研究了巴西东北部的Eretmochelys imbricata和Caretta Caretta幼龟的声学特征，以描述它们的声音信号，并比较物种内和物种间的声音结构。我们在伯南布哥州南部海岸的伊波茹卡监测了13公里。我们在2020/2021年记录了每个物种的5个巢穴和幼仔走向大海的过程。我们分别记录了12个和5个声型，增加了描述信号的数量。然而，并非所有的声型都是由所有人或在不同的发育阶段产生的。这两个物种的一些声音达到了超声波频率。不同巢间的声音结构不同，表明可能存在发声特征，但不同巢间的声音结构没有变化。声音结构因物种而异。尽管它们以沉默著称，但这项研究显示了目标物种的多种声音曲目，进一步支持了声音信号介导幼体出海的潜在同步的猜测。我们的信号描述可用于未来目标物种的被动声监测。未来的研究应着重于了解不同生命阶段声信号的功能。我们感谢非政府组织Ecoassociados的工作人员，他们为这项工作的开展提供了后勤支持。我们还要感谢Pedro Murilo Sales Nunes、Ednilza maranh o dos Santos、Thyara Noely Simões、Artur Campos Dália Maia和Frederico sim o Hintze de Oliveira教授在硕士论文答辩期间进行的富有成效的讨论和对本文早期版本的评论。这项研究符合巴西法律，数据收集是在SISBIO许可证编号75658下进行的。SM由Capes奖学金支持(财务代码:001)。BMB和该研究由FACEPE资助(BFT-01602.04/17;bft - 0014 - 2.05/20;APQ-1230-2.05/22)和CNPq生产补助金(批准号309256/2019-4)。披露声明作者未报告潜在的利益冲突。数据可用性声明应合理要求，可提供数据。本研究由CAPES (ordindena ode aperfeiamento de Pessoal de Nível Superior)通过SM奖学金(财务代码001)和FACEPE (fundao de Amparo a Ciência e Tecnologia do Estado de Pernambuco)资助;授权代码:[BFT-01602.04/17;BFT-0014-2.05/20])和CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico;资助编号[309256/2019-4])
{"title":"Sound production in sea turtle nests and hatchlings ( <i>Eretmochelys imbricata</i> and <i>Caretta caretta</i> ) in Northeast Brazil","authors":"Safira Núbia Dias de Melo, Matheus Felipe de Souza Dias da Silva, Paulo Jorge Parreira dos Santos, Vívian Chimendes da Silva Neves, Bruna Martins Bezerra","doi":"10.1080/09524622.2023.2251936","DOIUrl":"https://doi.org/10.1080/09524622.2023.2251936","url":null,"abstract":"ABSTRACTSea turtles have been considered the least vocal of living reptiles, but recent studies are changing this perception. Here, we aimed to investigate the acoustics of hatchlings of, Eretmochelys imbricata and Caretta caretta in Northeast Brazil, to describe their acoustic signals and compare sound structure within and between species. We monitored 13 km in Ipojuca, southern coast of Pernambuco State. We recorded five nests of each species and the hatchlings’ walk to the sea in 2020/2021. We recorded 12 sonotypes in C. caretta and 5 in E. imbricata, increasing the number of described signals. Nevertheless, not all sonotypes were produced by all or in the different developmental stages. Some of the sounds for both species reached ultrasonic frequencies. The sound structure varied between C. caretta nests, suggesting a potential vocal signature, but the sound structure had no variation between E. imbricata nests. The sound structure varied between species. Despite their reputation for being silent, this study shows a diverse acoustic repertoire in the target species, further supporting speculations of acoustic signals mediating the potential synchronisation of hatchlings’ departure to the sea. Our signal descriptions could be used for future passive acoustic monitoring of the target species. Future studies should focus on understanding the functionality of acoustic signals in the different life stages.KEYWORDS: Vocal signaturebioacousticsincubationTestudinesvocalisation AcknowledgementsWe thank the staff at the NGO Ecoassociados, who provided logistical support for the development of this work. We also thank professors Pedro Murilo Sales Nunes, Ednilza Maranhão dos Santos, Thyara Noely Simões, Artur Campos Dália Maia and Frederico Simão Hintze de Oliveira, for fruitful discussion during the Master dissertation defence and the comments on an earlier version of this manuscript. This study complied with Brazilian law and data collection was conducted under the SISBIO Licence number 75658. SM is supported by a Capes scholarship (Financial code: 001). BMB and the study were supported through FACEPE grants (BFT-01602.04/17; BFT-0014-2.05/20; APQ-1230-2.05/22) and CNPq productive grant (Grant number 309256/2019-4).Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData can be made available upon reasonable request.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/09524622.2023.2251936.Additional informationFundingThis work was supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) through a scholarship to SM (Financial code 001), and grants from FACEPE (Fundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco; grant codes: [BFT-01602.04/17; BFT-0014-2.05/20]) and from CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico; Grant number [309256/2019-4]) to BMB.","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135203393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-29DOI: 10.1080/09524622.2023.2250320
Roza G. Kamiloğlu, Cantay Caliskan, K. Slocombe, D. Sauter
{"title":"Threat vocalisations are acoustically similar between humans (Homo sapiens) and chimpanzees (Pan troglodytes)","authors":"Roza G. Kamiloğlu, Cantay Caliskan, K. Slocombe, D. Sauter","doi":"10.1080/09524622.2023.2250320","DOIUrl":"https://doi.org/10.1080/09524622.2023.2250320","url":null,"abstract":"","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47682622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-25DOI: 10.1080/09524622.2023.2246413
Anja Hutschenreiter, J. Sosa-López, F. González-García, F. Aureli
{"title":"Evaluating factors affecting species detection using passive acoustic monitoring in neotropical forests: a playback experiment","authors":"Anja Hutschenreiter, J. Sosa-López, F. González-García, F. Aureli","doi":"10.1080/09524622.2023.2246413","DOIUrl":"https://doi.org/10.1080/09524622.2023.2246413","url":null,"abstract":"","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49533833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-03DOI: 10.1080/09524622.2023.2241707
Bicheng Zhu, Xiaomeng Zhao, Haodi Zhang, Jichao Wang, Jianguo Cui
{"title":"The functions and evolution of graded complex calls in a treefrog","authors":"Bicheng Zhu, Xiaomeng Zhao, Haodi Zhang, Jichao Wang, Jianguo Cui","doi":"10.1080/09524622.2023.2241707","DOIUrl":"https://doi.org/10.1080/09524622.2023.2241707","url":null,"abstract":"","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46846250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-02DOI: 10.1080/09524622.2023.2241046
Samantha Ordóñez-Flores, Atziri Alicia Ibarra-Reyes, L. Ochoa-Ochoa
{"title":"What do we know about advertisement calls of Mexican anurans? A bibliographic review","authors":"Samantha Ordóñez-Flores, Atziri Alicia Ibarra-Reyes, L. Ochoa-Ochoa","doi":"10.1080/09524622.2023.2241046","DOIUrl":"https://doi.org/10.1080/09524622.2023.2241046","url":null,"abstract":"","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44430020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-02DOI: 10.1080/09524622.2023.2241420
G. Dutilleux, B. Sandercock, J. Kålås
{"title":"Chasing the bird: 3D acoustic tracking of aerial flight displays with a minimal planar microphone array","authors":"G. Dutilleux, B. Sandercock, J. Kålås","doi":"10.1080/09524622.2023.2241420","DOIUrl":"https://doi.org/10.1080/09524622.2023.2241420","url":null,"abstract":"","PeriodicalId":55385,"journal":{"name":"Bioacoustics-The International Journal of Animal Sound and Its Recording","volume":"1 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42348296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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