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1,300 results for “Sounding”
Data from: Size, sounds and sex: interactions between body size and harmonic convergence signals determine mating success in Aedes aegypti
Background: Several new mosquito control strategies will involve the release of laboratory reared males which will be required to compete with wild males for mates. Currently, the determinants of male mating success remain unclear. The presence of convergence between male and female harmonic flight tone frequencies during a mating attempt have been found to increase male mating success in the yellow fever mosquito, Aedes aegypti. Size has also been implicated as a factor in male mating success. Here, we investigated the relationships among body size, harmonic convergence signalling, and mating success. We predicted that harmonic convergence would be an important determinant of mating success and that large individuals would be more likely to converge. Methods: We used diet to manipulate male and female body size and then measured acoustic interactions during mating attempts between pairs of different body sizes. Additionally, we used playback experiments to measure the direct effect of size on signalling performance. Results: In live pair interactions, harmonic convergence was found to be a significant predictor of copula formation. However, we also found interactions between harmonic convergence behaviour and body size. The probability that a given male successfully formed a copula was a consequence of his size, the size of the female encountered, and whether or not they converged. While convergence appears to be predictive of mating success regardless of size, the positive effect of convergence was modulated by size combinations. In playbacks, adult body size did not affect the probability of harmonic convergence responses. Conclusions: Both body size and harmonic convergence signalling were found to be determinants of male mating success. Our results suggest that in addition to measuring convergence ability of mass release lines that the size distribution of released males may need to be adjusted to complement the size distribution of females. We also found that diet amount alone cannot be used to increase male mating success or convergence probability. A clearer understanding of convergence behaviours, their relationship to mating success, and factors influencing convergence ability would provide the groundwork for improving the mating performance of laboratory reared lines.
Data from: Migrate small, sound big: functional constraints on body size promote tracheal elongation in cranes
Organismal traits often represent the outcome of opposing selection pressures. While social or sexual selection can cause the evolution of traits that constrain function or survival (e.g., ornamental feathers), it is unclear how the strength and direction of selection respond to ecological shifts that increase the severity of the constraint. For example, reduced body size might evolve by natural selection to enhance flight performance in migratory birds, but social or sexual selection favoring large body size may provide a countervailing force. Tracheal elongation is a potential outcome of these opposing pressures because it allows birds to convey an auditory signal of exaggerated body size. We predicted that the evolution of migration in cranes has coincided with a reduction of body size and a concomitant intensification of social or sexual selection for apparent large body size via tracheal elongation. We used a phylogenetic comparative approach to examine the relationships among migration distance, body mass, and trachea length in cranes. As predicted, we found that migration distance correlated negatively with body size and positively with proportional trachea length. This result was consistent with our hypothesis that evolutionary reductions in body size led to intensified selection for trachea length. The most likely ultimate causes of intensified positive selection on trachea length are the direct benefits of conveying a large body size in intraspecific contests for mates and territories. We conclude that the strength of social or sexual selection on crane body size is linked to the degree of functional constraint.
Data from: Development of sound localization strategies in children with bilateral cochlear implants
Localizing sounds in our environment is one of the fundamental perceptual abilities that enable humans to communicate, and to remain safe. Because the acoustic cues necessary for computing source locations consist of differences between the two ears in signal intensity and arrival time, sound localization is fairly poor when a single ear is available. In adults who become deaf and are fitted with cochlear implants (CIs) sound localization is known to improve when bilateral CIs (BiCIs) are used compared to when a single CI is used. The aim of the present study was to investigate the emergence of spatial hearing sensitivity in children who use BiCIs, with a particular focus on the development of behavioral localization patterns when stimuli are presented in free-field horizontal acoustic space. A new analysis was implemented to quantify patterns observed in children for mapping acoustic space to a spatially relevant perceptual representation. Children with normal hearing were found to distribute their responses in a manner that demonstrated high spatial sensitivity. In contrast, children with BiCIs tended to classify sound source locations to the left and right; with increased bilateral hearing experience, they developed a perceptual map of space that was better aligned with the acoustic space. The results indicate experience-dependent refinement of spatial hearing skills in children with CIs. Localization strategies appear to undergo transitions from sound source categorization strategies to more fine-grained location identification strategies. This may provide evidence for neural plasticity, with implications for training of spatial hearing ability in CI users.
Data from: Logistic regression analysis of factors influencing the effectiveness of intensive sound masking therapy in patients with tinnitus
Objectives: To investigate factors influencing the effectiveness intensive sound masking therapy on tinnitus using Logistic Regression Analysis. Design: The study used a retrospective cross-section analysis. Participants: 102 patients with tinnitus were recruited at the Sun Yat-sen Memorial Hospital of Sun Yat-sen University, China. Intervention: Intensive sound masking therapy was used as an intervention approach for patients with tinnitus. Primary and secondary outcome measures: participants underwent audiological investigations and tinnitus pitch and loudness matching measurements, followed by intensive sound masking therapy. The Tinnitus Handicap Inventory (THI) was used as the outcome measure pre- and post-treatment. Multivariate logistic regression was performed to investigate the association of demographic and audiological factors with effective therapy. Results: According to the THI score changes pre-and post-sound masking intervention, fifty-one participants were categorised into an effective group, the remaining 51 participants were placed in a non-effective group. Those in the effective group were significantly younger than those in the non-effective group (p=0.012). Significantly more participants had flat audiogram configurations in the effective group (p=0.04). Multivariable logistic regression analysis showed that age (OR=0.96, 95% CI: 0.93, 0.99, p=0.007), audiometric configuration (p=0.027) and THI score pre-treatment (OR=1.04, 95% CI: 1.02, 1.07, p<0.001) were significantly associated with therapeutic effectiveness. Further analysis showed that patients with flat audiometric configurations were 5.45 times more likely to respond to intervention than those with high-frequency steeply sloping audiograms (OR=5.45, 95% CI: 1.67, 17.86, p=0.005). Conclusion: Audiometric configuration, age and THI scores appear to be predictive for the effectiveness of sound masking treatment. Gender, tinnitus characteristics and hearing threshold measures seem not to be related to treatment effectiveness. Further randomized control study is needed to provide further evidence of the effectiveness of prognostic factors in tinnitus interventions.
Observational Data for Lidar and GPS soundings
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Tuble 1 in Audiospectrographical analysis of cicada sound production: a catalogue (Hemiptera, Cicadidae)
Tuble 1 (continued)
labk) (coniinucd) in Audiospectrographical analysis of cicada sound production: a catalogue (Hemiptera, Cicadidae)
labk) (coniinucd)
Tiible I in Audiospectrographical analysis of cicada sound production: a catalogue (Hemiptera, Cicadidae)
Tiible I (coniinued)
Automating the Detection of Marine Sound Sources
<p>This dataset contains the training and testing labelled datasets, along with the required scripts, to replicate the CNN model developed within this thesis. For access to raw acoustic dataset used throughout the thesis you should contact the author, it may be available upon request.</p>
Fig 3 from: Kuga T, Kasuya E (2024) Factors related to sound production by the Chinese grasshopper Acrida cinerea during escape. Journal of Orthoptera Research 33(1): 13-19. https://doi.org/10.3897/jor.33.100865
Fig 3 Observed number of male A. cinerea that escaped by flying in all three consecutive escape attempts. The horizontal axis shows the production of sound (N = No; Y = Yes) in three consecutive escape attempts in the order they took place. For example, YYN indicates that the grasshopper produced sounds in the first and second escape attempts but did not produce sound in the third attempt.
Fig 2 from: Kuga T, Kasuya E (2024) Factors related to sound production by the Chinese grasshopper Acrida cinerea during escape. Journal of Orthoptera Research 33(1): 13-19. https://doi.org/10.3897/jor.33.100865
Fig 2 Relationships between sound production and DF or FID in the first (A, B), second (C, D), and third (E, F) escape attempts. Data on the first attempt (A, B) were obtained from males that flew in the first attempt. Data for the second (C, D) and third (E, F) attempts were obtained from males that flew in all three consecutive escape attempts. The number of observed individuals is shown in parentheses. The centerline, lower edge, and upper edge of the box indicate the median, first quantile, and third quantile, respectively. The bottom of the lower whisker is the minimum value that is not lower than the first quantile minus 1.5 times the interquartile range. The top of the upper whisker is the maximum value that is not higher than the third quantile plus 1.5 times the interquartile range. The data points that are not contained in the box-and-whisker plot are represented as open circles.
THE PHONETIC SYSTEM OF UZBEK, FINNISH, ENGLISH AND DIFFERENCES BETWEEN THE VOWEL SOUNDS OF THIS THREE LANGUAGES.
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Data from: The sound of recovery: coral reef restoration success is detectable in the soundscape
<p><span>1. Pantropical degradation of coral reefs is prompting considerable investment in their active restoration. However, current measures of restoration success are based largely on coral cover, which does not fully reflect ecosystem function or reef health. </span></p> <p><span>2. Soundscapes are an important aspect of reef health; loud and diverse soundscapes guide the recruitment of reef organisms, but this process is compromised when degradation denudes soundscapes. As such, acoustic recovery is a functionally important component of ecosystem recovery. </span></p> <p><span>3. Here, we use acoustic recordings taken at one of the world's largest coral reef restoration projects to test whether successful restoration of benthic and fish communities is accompanied by a restored soundscape. We analyse recordings taken simultaneously on healthy, degraded (extensive historic blast fishing) and restored reefs (restoration carried out for 1–3 years on previously-degraded reefs). We compare soundscapes using manual counts of biotic sounds (phonic richness), and two commonly used computational analyses (acoustic complexity index [ACI] and sound-pressure level [SPL]).</span></p> <p><span>4. Healthy and restored reef soundscapes exhibited a similar diversity of biotic sounds (phonic richness), which was significantly higher than degraded reef soundscapes. This pattern was replicated in some automated analyses but not others; the ACI exhibited the same qualitative result as phonic richness in a low-frequency, but not a high-frequency bandwidth, and there was no significant difference between SPL values in either frequency bandwidth. Further, the low-frequency ACI and phonic richness scores were only weakly correlated despite showing a qualitatively equivalent overall result, suggesting that these metrics are likely to be driven by different aspects of the reef soundscape. </span></p> <p><span>5<i>. Synthesis and applications: </i>These data show that coral restoration can lead to soundscape recovery, demonstrating the return of an important ecosystem function. They also suggest that passive acoustic monitoring (PAM) might provide functionally important measures of ecosystem-level recovery – but only some PAM metrics reflect ecological status, and those that did are likely to be driven by different communities of soniferous animals. Recording soundscapes represents a potentially valuable tool for evaluating restoration success across ecosystems, but caution must be exercised when choosing metrics and interpreting results. </span></p>
Class-aware Sounding Objects Localization via Audiovisual Correspondence
<p>Videos for "Class-aware Sounding Objects Localization via Audiovisual Correspondence"</p>
Class-aware Sounding Objects Localization via Audiovisual Correspondence_mp4
<p>Class-aware Sounding Objects Localization via Audiovisual Correspondence</p>
FIGURE 6 in Review of song patterns and sound production in armoured ground crickets (Orthoptera: Tettigoniidae: Hetrodini) with karyological data and taxonomic notes
FIGURE 6. Power spectra of male calling songs in Hetrodini species
THE USE OF SOUND REPETITION IN THE WORK OF MODERN ENGLISH POETS
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ESC-50-Voice: Dataset of vocal imitation for environmental sound in ESC-50
<h2><strong>Description</strong></h2> <p>This is a dataset with vocal imitation, which involve the process of replicating or mimicking the rhythm and pitch of sounds by voice for an environmental sound in ESC-50 [1] that can be used in various tasks that use environmental sounds. The dataset consists of 9,920 vocal imitations (8 imitators per environmental sound). Each imitator is a Japanese speaker. All audio data are 48kHz/16bit wav files. </p> <p>Each audio file is named as follows:</p> <pre><code>vocal_imitation/SpeakerID/FileName_SpeakerID.wav</code></pre> <p>FileName means the original audio file name in ESC-50. SpaekerID means the ID of the imitator. We recorded vocal imitations for a part of sound events in ESC-50. A list of the sound events used can be obtained from EventList.csv.</p> <p>Note that this dataset does not contain environmental sound files, which can be obtained from ESC-50. Environmental sounds in ESC-50 are available <a href="https://github.com/karolpiczak/ESC-50">here</a>.</p> <h2><strong>Terms of use</strong></h2> <p>The materials may be used free of charge for research purposes, but please refrain from redistribution or use that is offensive to public order and morals. If you want to use for commercial purposes, please contact us (Yuki Okamoto or Keisuke Imoto).</p> <h2><strong>Citation</strong></h2> <p>If you use this dataset, please cite as follow:</p> <p>Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, and Yoichi Yamashita, "Environmental Sound Synthesis from Vocal Imitations and Sound Event Labels," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 411-415, 2024.</p> <h2><strong>Feedback</strong></h2> <p>If there is any problem, please contact us</p> <ul> <li>Yuki Okamoto, <a href="mailto:y-okamoto@ieee.org">y-okamoto@ieee.org</a></li> <li>Keisuke Imoto, <a href="mailto:keisuke.imoto@ieee.org">keisuke.imoto@ieee.org</a></li> </ul> <p> </p> <p>[1] K. J. Piczak, "Esc: Dataset for environmental sound classification,” in Proc. the 23rd ACM International Conference on Multimedia, 2015, p. 1015–1018.</p>
Sound velocities of stishovite at simultaneous high pressure and high temperature suggest an eclogite-rich layer beneath the Hawaii hotspot
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Figure 4 from: Sampaio Í, Carreiro-Silva M, Freiwald A, Menezes G, Grasshoff M (2019) Natural history collections as a basis for sound biodiversity assessments: Plexauridae (Octocorallia, Holaxonia) of the Naturalis CANCAP and Tyro Mauritania II expeditions. ZooKeys 870: 1-32. https://doi.org/10.3897/zookeys.870.35285
Figure 4 Map of Plexauridae collected during Tydeman Cape Verde Islands – CANCAP VI and VII cruises.
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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.