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693 results for “vocalization”
Vocal imitation of percussion sounds: on the perceptual similarity between imitations and imitated sounds
<p>Dataset of the drum sounds and vocal imitations used in the listening study. There are 30 drum sounds, indexed 0-29. The imitations are indexed by imitator (0-13), with imitations of each drum sound in the respective directories. Included is a csv file containing the participant responses from the listening test.</p> <p>NOTE: The BFD drum samples have been made available with the permission of FXpansion Audio UK. Permission is granted for their use in further academic research. Contact SKoT McDonald <skot@fxpansion.com> for further information."</p> <p> </p> <p> </p>
Fig. 1. A in Proboscis Monkeys (Nasalis Larvatus (Wurmb, 1787)) Have Unusually High-Pitched Vocalizations
Fig. 1. A male proboscis monkey in the Singapore Zoological Gardens.
Fig. S1 in Proboscis Monkeys (Nasalis Larvatus (Wurmb, 1787)) Have Unusually High-Pitched Vocalizations
Fig. S1. Spectrogram of Call 2: Low frequency vocalization produced by adult male.
Supporting data: Functional plasticity of the swim bladder as an acoustic organ for communication in a vocal fish
<div> <p>In this study, we show that the swim bladder of male plainfin midshipman fish (<em>Porichthys notatus</em>) exhibits reproductive state-dependent changes in morphology and function for sound production and reception. We quantified swim bladder morphometrics and utilized psuedolandmarking to identify differences in nonreproductive and reproductive male swim bladders. We utilized auditory evoked potential recordings, to measure the auditory sensitivity of saccular hair cells in response to sound pressure levels ranging from 97 - 154 dB re: 1 µPa to determine how the swim bladder contributes to midshipman auditory sensitivity. Finally, we used finite element modeling to explore the frequency response of nonreproductive and reproductive male swim bladders.</p> </div>
Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses
<p>This repository houses a comprehensive collection of data and resources from the study "Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses." Led by Dr. Suresh Neethirajan at Mooanalytica, Department of Agriculture & Aquaculture, Faculty of Agriculture & Computer Science, Dalhousie University, this research represents a significant foray into the field of poultry ethology and welfare monitoring using advanced machine learning techniques.</p> <p><strong>Key Components of the Repository</strong></p> <ol> <li> <p><strong>Experimental Audio Data</strong></p> <ul> <li><strong>Control and Treatment Vocalizations</strong>: Audio recordings of laying hens under two different stress conditions – sudden umbrella opening (Treatment 1) and simulated dog barking sounds (Treatment 2), along with control groups. The processed dataset is approximately 460 MB for the control group experimental data and about 2 GB for the 2 treatment group experimental data, capturing the nuanced responses of hens to these stressors.</li> <li><strong>Original Raw Data</strong>: The original, unprocessed audio data is around 9 GB in size. Though not included in the repository, it can be made available upon reasonable request.</li> </ul> </li> <li> <p><strong>Algorithm and Code Files</strong></p> <ul> <li><strong>CNN Feature Extraction and Classification Algorithms</strong> Python scripts used for the extraction of features from the audio data using Convolutional Neural Networks (CNN) and subsequent classification.</li> <li><strong>Supplementary Algorithms</strong> Additional code files that support the processing and analysis of the audio data.</li> </ul> </li> <li> <p><strong>MFCC Feature Dataset</strong></p> <ul> <li>An Excel file containing the 40 Mel Frequency Cepstral Coefficients (MFCC) features extracted from the vocalization data. This dataset provides a detailed spectral analysis of the hen's vocalizations, crucial for understanding their response to stress.</li> </ul> </li> </ol> <p><strong>Study Overview</strong></p> <p>This study aimed to classify and analyze the vocalization patterns of laying hens subjected to different stressors. Using a CNN model, the research identified distinct vocal patterns between control and treated groups, indicating unique vocal responses to different types of stressors. This study is pivotal in understanding the impact of environmental stressors on poultry welfare and behavior. The age of the chickens and the timing of stressor application were also critical factors influencing vocalization patterns.</p> <p><strong>Implications and Applications:</strong></p> <p>The findings from this study have significant implications for poultry welfare monitoring and management. By providing a non-invasive method to assess the well-being of chickens, this research contributes valuable insights into enhancing poultry management practices and welfare standards.</p> <p>The resources in this repository are intended for researchers, academicians, and professionals in animal behavior, veterinary science, and poultry management. We encourage the use of these data and tools for further research and practical applications in the field of precision (Digital) livestock farming and animal welfare.</p> <p>For any queries or requests related to the raw dataset, please contact Dr. Suresh Neethirajan.</p>
Vocal dimorphism in Anna's Hummingbirds
<p>Sexual dimorphism in vocal signals is found across many bird species. By evaluating correlations among sex, behaviors, and vocalizations, the meaning and utility of sound production may be inferred. Anna's Hummingbirds (<em>Calypte anna</em>) exhibit pronounced sexual dimorphism, with males being larger and having more vibrant coloration than females, but vocal dimorphism in the species is less studied. A common vocalization of Anna's Hummingbirds is the chip note, which is produced by both sexes in a wide array of contexts. Here, we correlated temporal parameters of recorded chip notes with individual sex and behavioral contexts gathered from field observations. The production rate of chip notes differed significantly between male and female hummingbirds but did not vary much with behavioral context. Although Anna's Hummingbirds produce chips across a broad spectrum of behaviors, dimorphic chip production may be especially important in territorial behavior.</p>
Data from: Vocal signatures affected by population identity and environmental sound levels
<p>Passive acoustic monitoring has improved our understanding of vocalizing organisms in remote habitats and during all weather conditions. Many vocally active species are highly mobile, and their populations overlap. However, distinct vocalizations allow the tracking and discrimination of individuals or populations. Using signature whistles, the individually distinct calls of bottlenose dolphins, we calculated a minimum abundance of individuals, characterized and compared signature whistles from five locations, and determined reoccurrences of individuals throughout the Mid-Atlantic Bight and Chesapeake Bay, USA. We identified 1,888 signature whistles in which the duration, number of extrema, start, end, and minimum frequencies of signature whistles varied significantly by site. All characteristics of signature whistles were deemed important for determining from which site the whistle originated and due to the distinct signature whistle characteristics and lack of spatial mixing of the dolphins detected at the Offshore site, we suspect that these dolphins are of a different population than those at the Coastal and Bay sites. Signature whistles were also found to be shorter when sound levels were higher. Using only the passively recorded vocalizations of this marine top predator, we obtained information about its population and how it is affected by ambient sound levels, which will increase as offshore wind energy is developed. In this rapidly developing area, these calls offer critical management insights for this protected species.</p>
Vocal range and ultraviolet-induced photoluminescence in gliding mammals and their relatives
<p>Gliding is only present in six extant groups of mammals – interestingly, despite divergent evolutionary histories, all mammalian gliders are strictly nocturnal. Gliding mammals also seem to have relatively high rates of ultrasound use and ultraviolet-induced photoluminescence (UVP) in contrast with their close relatives. Therefore, we hypothesized that, despite diverging lineages, gliding mammals use similar modes of cryptic communication compared to their non-gliding counterparts. We developed two datasets containing the vocal range (minimum-maximum of the dominant harmonic; kHz) and UVP of 73 and 82 species, respectively; we report five novel vocal repertoires and 57 novel observations of the presence or absence of UVP. We complemented these datasets with information about body size, diel activity patterns, habitat openness, and sociality to explore possible covariates related to vocal production and UVP. We found that the maximum of the dominant harmonic was significant higher in gliding mammals when vocalizing than their non-gliding relatives. Additionally, we found that nocturnality was the only significant predictor of UVP, consistent with the previous hypothesis that luminophores primarily drive UVP in mammal fur. In contrast, however, we did not find UVP ubiquitous in nocturnal mammals, suggesting that some unknown process may contribute to variation in this trait.</p>
Dactylomys boliviensis vocalization recording files
<p><strong>Audio recordings of the Bolivian Bamboo Rat</strong><br>These recordings were used for the research titled: <em>"</em>Vocalization and acoustic activity pattern of <em>Dactylomys boliviensis </em>from southwestern Amazon through passive acoustic monitoring.<em>"</em> Metadata for the audio files is available in Supplementary Data S1 associated with the manuscript.</p>
USCMed Dataset - Rat Ultrasonic Vocalizations
<p>The USCMed dataset is included as an open-access dataset in the paper, "A Reliable and Efficient Detection Pipeline for Rodent Ultrasonic Vocalizations" which was published at the 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025). This dataset was generated from experiments (approved by the University of South Carolina Institutional Animal Care and Use Committee) conducted at the University of South Carolina School of Medicine.</p> <p>The USCMed dataset contains audio recordings and hand-scored annotations of 27 male rats for the Context trial (details in the paper). Note that, there are empty CSV files in the annotations directory for the audio recordings where no USV calls were found by human experts.</p>
Data from: Spectrogram cross-correlation can be used to measure the complexity of bird vocalizations
<p>This data set contains catalog numbers of Macaulay Library sound files and RVV library sound files used in the study- Sawant, S; Arvind, C; Joshi, V & Robin, V. V. (2021) Spectrogram cross-correlation can be used to measure the complexity of bird vocalizations.</p>
Diseño y desarrollo de una aplicación que interpreta los diez primeros números y las vocales del lenguaje de señas colombiano (LSC) al lenguaje español.
<p>La inclusión social de las personas con discapacidad auditiva depende netamente del nivel de comunicación entre ellos y las demás personas, sin importar el medio en el que se esté desarrollando, por lo que es conocido que las personas con algún grado de esta discapacidad no pueden acceder a oportunidades laborales o académicas de la misma forma que otras personas, afectando de esta manera su calidad de vida y por ende les genera innumerables problemas personales, sociales y familiares, creando de esta manera un brecha entre ellos y la sociedad, viéndose limitados por el medio en el que se encuentran. La aplicación desarrollada, resultado de esta investigación, permite el aprendizaje de las vocales y los diez primeros números del lenguaje de señas colombiano, así como también la interpreta de estas señas del lenguaje de señas colombiano al español; para la ejecución del proyecto se acude al uso de tecnologías especializadas para captar los movimientos de las manos de un persona, como lo es el sensor Leap Motion, un dispositivo hardware que permite el registro de los movimientos sin necesidad de un contacto directo. Cabe resaltar, que el proyecto desarrollado se encuentra en una primera fase, por lo que se tiene contemplado en proyectos posteriores continuar con la interpretación y enseñanza de más números y letras básicas, con el fin de obtener un traductor del lenguaje de señas colombiano al español, en un futuro no muy lejano</p>
ReCANVo: A Dataset of Real-World Communicative and Affective Nonverbal Vocalizations
<p>A dataset of 7077 labeled vocalizations made by non-speaking individuals. Each vocalization lasts approximately 0.5-4 seconds and is labeled with its affective or communicative meaning. Data were acquired in real-world settings (homes, schools, etc.) and were labeled in real-time by parents or caregivers who knew the non-speaking communicator well. </p> <p>dataset_file_directory.csv provides the name of each vocalization file, the corresponding participant ID, and the vocalization meaning or label (delighted, frustrated, request, etc.).</p> <p>If you use this dataset, please <strong>cite Johnson & Narain et al., "ReCANVo: A Database of Real-World Communicative and Affective Nonverbal Vocalizations"</strong>. The authors are Jaya Narain, Kristina T. Johnson, Thomas Quatieri, Pattie Maes, and Rosalind Picard. This paper provides more information about the dataset, including data acquisition methodology, pre-processing procedures, and participant demographics. </p> <p>**J.N. and K.T.J. are joint first authors on this project. Please include both names in attribution when possible (e.g., Johnson & Narain et al.).</p>
Data for: Specificity of California mouse pup vocalizations in response to olfactory stimuli
<p>To investigate flexibility in vocal signaling by rodent pups, we examined whether olfactory stimuli influence characteristics of pup calls and how these calls may be affected by sex and litter size in California mice (<i>Peromyscus californicus</i>). Pups were isolated and recorded during a 3-minute baseline period followed by a 5-minute exposure to bedding containing scent from their home cage, scent from the home cage of an unfamiliar family, coyote urine, or no scent (control). Latency to call, call rate, and call characteristics (duration, frequency, and amplitude) were compared between the baseline and scent-exposure periods and among olfactory conditions. Compared to the control condition, pups from 2-pup litters called more quietly when exposed to odor from a predator, while pups from 3-pup litters called more loudly. Additionally, pups showed non-significant tendencies to reduce call rates in response to odors from their home cage and to increase call rates when exposed to predator urine. Lastly, males produced higher-frequency calls and more ultrasonic vocalizations than females. These results indicate that pup calling behavior in this species can be influenced by acute olfactory stimuli as well as litter size and sex. The flexibility of pup calling in response to these three variables potentially increases the communication value of pup calls and help shape the parents' responses.</p>
Hennessy et al-Lion vocalization-Supplementary file 4
<p>Video recording of the male lion attempting to attack the observer through the glass observation window of the enclosure</p>
Hennessy et al-Lion vocalization-Supplementary file 2
<p>Video of territorial behaviours exhibited by the male lion immediately after a brief fight with one of the females</p>
Breeding status shapes territoriality and vocalization patterns in spotted owls
<p>Vocal territory defense can vary within a species due to many factors such as sex and breeding status, influencing territory size and thus population density across a landscape. Therefore, understanding what influences variation in territorial vocalizations can help to illuminate trade-offs between territoriality and other life history demands, which benefits our general understanding of animal ecology as well as helps to inform emerging passive acoustic monitoring approaches. Here, we investigated how sex and breeding status affected territoriality and vocal behavior in the California spotted owl (<em>Strix occidentalis occidentalis</em>) in the Sierra Nevada, California, USA, using high-resolution acoustic/GPS tags. We discovered that territorial vocal behavior was related to breeding status and to a lesser extent sex. Breeding owls with fledged young had a less diverse vocal repertoire, produced fewer and quieter territorial calls, and typically called only when close to their nest. Males were also more likely to engage in territorial calling than females. Breeding spotted owls also maintained significantly smaller territories—but utilized larger home ranges—than non-breeding individuals. Our results suggest that breeding spotted owls may reduce their investment in territorial behaviors to mitigate the demands and risks associated with rearing young. Further, our results have important implications for the passive acoustic monitoring of spotted owls and, more broadly, highlight the utility of using multiple call types to detect species of interest.</p>
Vocal babbling in a wild parrot shows life history and endocrine affinities with human infants
<p>Vocal babbling is a critical phase in infant language development and is best understood in temperate songbirds where it occurs primarily in males at reproductive maturity and is modulated by sex steroids. Parrots of both sexes are famous vocal imitators but a vocal babbling stage has gone unnoticed and it is not clear how the endocrine system is involved. We report on vocal babbling in both sexes of nestling wild green-rumped parrotlets (<em>Forpus passerinus</em>) in Venezuela. In addition, we show that corticosterone supplements resulted in individuals with larger repertoires after treatment had ended. Results indicate parrotlets begin babbling during an earlier life history stage compared to most songbirds and one in which corticosteroids play an important role. Here we include audio files of bouts of babbling from a sample of audio-video recorded inside specially designed nest cavities and a data set of spectrographic measurements taken on each element within each bout of babbling as well as associated metadata.</p> <p> </p>
Realistic 3D avian vocal tract model demonstrates how shape affects sound filtering (Passer domesticus)
<p><span>Despite the complex geometry of songbird's vocal system, it was typically modelled as a tube or with simple mathematical parameters to investigate sound filtering. Here, we developed an adjustable computational acoustic model of a sparrow's upper vocal tract (<em>Passer domesticus</em>), derived from micro-CT scans. We discovered that a 20% tracheal shortening or a 20° beak gape increase caused the vocal tract harmonic resonance to shift towards higher pitch (11.7% or 8.8%, respectively), predominantly in the mid-range frequencies (3-6 kHz). The oropharyngeal-esophageal cavity (OEC), known for its role in sound filtering, was modelled as an adjustable 3D cylinder. For a constant OEC volume, an elongated cylinder induced a higher frequency shift than a wide cylinder (70% versus 37%). We found that the OEC volume adjustments can modify the OEC first harmonic resonance at low frequencies (1.5–3 kHz) and the OEC third harmonic resonance at higher frequencies (6-8 kHz). This work demonstrates the need to consider the realistic geometry of the vocal system to accurately quantify its effect on sound filtering and show that sparrows can tune the entire range of produced sound frequencies to their vocal system resonances, by controlling the vocal tract shape, especially through complex OEC volume adjustments.</span></p>
Figure 1 in Acoustic analysis of vocalization and the behavioral response associated to sound production of the nine banded armadillo Dasypus novemcinctus (Mammalia, Cingulata, Dasypodidae)
Figure 1. Oscillogram (top) and spectrogram (bottom) of the agonistic vocalizations of Dasypus novemcinctus, HCLP-S 1028, recorded from individual M1. (A) A single vocalization composed of the pattern A-I, A-I, B-I, B-II; (B) A single vocalization composed of the pattern A-I, A-II, B-I, A-II, B-I, B-II.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.