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263 results for “listening”
Listening to Calming Music
ClinicalTrials.gov study NCT06710886. IPD Sharing: NO. Countries: 1. Publications: 0.
Family Listening Program: Multi-Tribal Implementation and Evaluation
ClinicalTrials.gov study NCT03142009. IPD Sharing: NO. Countries: 1. Publications: 43.
Photo-experiencing and Reflective Listening (PEARL) to Promote Healing Engagement for Survivors of Violence
ClinicalTrials.gov study NCT07277816. IPD Sharing: NO. Countries: 1. Publications: 1.
The SIM-PLICITY Study: The SIMulation Project - LIstening & Intervention in Pediatric obeSITY
ClinicalTrials.gov study NCT02946515. IPD Sharing: NO. Countries: 1. Publications: 4.
Understanding degraded speech leads to perceptual gating of a brainstem reflex in human listeners
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Listening and watching: do camera traps or acoustic sensors more efficiently detect wild chimpanzees in an open habitat?
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Data from: Neural dynamics of predictive timing and motor engagement in music listening
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Cochlear Implant Compression Optimization for Music Listening - Maplaw and AGC
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Binaural room impulse responses for interactive listener translation in a seminar room
<p>With the goal to study the perception of position dynamic binaural synthesis for walking listeners wearing headphones, a set of binaural room impulse responses (BRIRs) and omnidirectional RIRs was measured. The measurements were conducted with a Kemar 45BA dummy head in a seminar room (9.9m x 4.7m x 3.1, T60 = 1.0s). Two loudspeakers Genelec 1030A served as sound sources. The BRIRs were measured at 16 positions arranged along a line towards the frontal loudspeaker with distances ranging from 1m - 8.50m and a positional resolution of 50cm. The second source was placed at the side of the line. The BRIR were determined for a full 360° rotation in 4° steps for each of the measurement positions. In addition, omnidirectional RIRs were measured at the 16 listening positions.</p> <p>As a second test case, on a different day both loudspeakers were turned by 180° to be pointing away from the translation line. BRIRs were captured for the positions with the same angular resolution. The interior slightly differed from the first measurement. The changes are documented with photos of the room and the measurement setup.</p>
Listening to Listening: Sonic Sculpture Video Demo
<p>A demo of the sonic sculpture system and "listening to listening" sound artwork developed to explore the use of AR to engage with physical sculptures through sound art.</p>
BRIR data set for interactive listener translation in two rooms
<p>This BRIR data set was measured with a Kemar 45BA at 9 different positions along a defined translation line with a length of 2m in two different rooms, a listening laboratory (T60 = 0.27s) and a seminar room (T60 = 1.0s). At each position BRIRs for a full 360° head rotation with an azimuth resolution of 4° were captured. Two Genelec 1030A loudspeakers served as the sound sources, one place in the fron of the line, one at the side. In addition, omni-directional room impulse responses were determined of the 9 positions at the center the head in both rooms.</p> <p>The data set is of interest to study dynamic binaural synthesis for walking towards or past a sound source in two different room acoustical settings. The same source and receiver setup was used in both rooms, therefore the direct sound and its progress along the given translation line is similar.</p>
Figure 2 The mean scores of vocabulary and morphemes, reading, listening, speaking, and writing.
<p><strong>Figure 2 for 'Mind Mapping improved the Effect of Medical English Learning for non-Native English Speakers in non Target Language Environment：A Randomized Controlled Trial'</strong></p>
BinMov2023: Binaural Dataset for Source Position Estimation with Head Rotation and Moving Listeners
<p><strong>DESCRIPTION</strong></p> <p><strong>BinMov2023: Binaural Dataset for Source Position Estimation with Head Rotation and Moving Listeners</strong> is a binaural dataset containing synthetic data of single source speech signals reverberated with simulated room impulse responses. The data allows for experiments related to audio tasks of sound source localization and sound distance estimation. <br>The dataset consists of three subsets, related to three different scenarios:</p> <p>- static: a static sound source and a static listener<br>- rotation: a static sound source and a static listener with a head rotating in the azimuth plane<br>- walking: a static sound source and a listener moving in space</p> <p>Each sound file contains a unique combination of a simulated room and source and receiver positions. The walking scenario contains simulations of 2500 different rooms, whereas the static and rotation scenarios contain 5000 rooms. </p> <p> </p> <p><strong>REPORT AND REFERENCE</strong></p> <p>A detailed description of the dataset and the data generation process can be found in:</p> <p>D. A. Krause, G. García-Barrios, A. Politis and A. Mesaros, <strong>"Binaural Sound Source Distance Estimation and Localization for a Moving Listener,"</strong> in <em>IEEE/ACM Transactions on Audio, Speech, and Language Processing</em>, doi: 10.1109/TASLP.2023.3346297.</p> <p>available <a href="https://ieeexplore.ieee.org/document/10372100">here</a>. The supplementary material describing the data simulation is available <a href="https://doi.org/10.1109/TASLP.2023.3346297/mm1">under this link.</a></p> <p>If you use the dataset, please consider citing the abovementioned paper. </p> <p> </p> <p><strong>METADATA</strong></p> <p>Each sound file has a separate metadata file assigned. The information in the metadata comes per frame in the following format:</p> <p>[nb_frame (int)], [x (float)], [y (float)], [z (float)], [a (float)], [b (float)], [c (float)], [d (float)]</p> <p>Where nb_frame is the number of frame, {x, y, z} are the unnormalized Cartesian coordinates of the sound source and {a, b, c, d} are the quaternion values related to the rotation of the listener's head.</p> <p> </p> <p><strong>LICENSE</strong></p> <p>The database is published under a custom **open non-commercial with attribution** license. It can be found in the `LICENSE.txt` file that accompanies the data.</p>
listening to dreams
<p>In this site we upload data for the mansucript "synthesizing avian dreams".</p> <p> </p>
Figure 8 in Look closely and listen carefully: unexpected cicada diversity in northern Sardinia, with the description of a new species (Cicadidae: Tibicina)
Figure 8. Distribution of the genus Tibicina in northern Sardinia and southern Corsica. All records are confirmed by song assessments. Large circle: ≥ 30 specimens detected. Medium circle: 6–29 specimens. Small circle: 1–5 specimens.
Figure 6 in Look closely and listen carefully: unexpected cicada diversity in northern Sardinia, with the description of a new species (Cicadidae: Tibicina)
Figure 6. Habitat specialization of the Tibicina OTUs from northern Sardinia. A, portions of eight vegetation classes in all four Tibicina OTUs from Sardinia. Data are shown per square root of observed individuals (Nind = 586). Foreground drawing after Puissant & Sueur (2001). B, portions of eight vegetation classes in partly sympatrically occurring CIST and LONG. Data is visualized per location and the two class variables are displayed on the axes (dominance of ligneous plants vs. vegetation height; Nloc = 42). Bold numbers are vegetation class numbers and black dashes indicate the number of counts. Example: Vegetation class 3 fits for 8.5 locations in CIST, containing 2.5 locations in sympatry with LONG and 6 locations in allopatry to LONG. Typical Northern Sardinian habitats of: C, CIST (grassland, Pattada); D, CORS (low shrubland, Stintino); E, LONG (tall shrubland, Priatu); F, NIGR (woodland, Rena Majore).
Figure 4 in Look closely and listen carefully: unexpected cicada diversity in northern Sardinia, with the description of a new species (Cicadidae: Tibicina)
Figure 4. Morphological trends in the Corso-Sardinian Tibicina OTUs CIST, CORS and LONG (part I). Colour tints of basal and central forewing venation. RGB-values taken at two positions (see numbered ovals in example CIST) from photographs of live individuals. R-values constant for boxes, G-values at vertical axes, B-values at horizontal axes. Size of circles is relative to the measured occurrences (Nind = 95, N max = 12, Nmin = 1). Two typical venation phenotypes of LONG and CIST (right, below). CORS and T. c. corsica are merged for easier illustration.
Figure 5 in Look closely and listen carefully: unexpected cicada diversity in northern Sardinia, with the description of a new species (Cicadidae: Tibicina)
Figure 5. Morphological trends in the Corso-Sardinian Tibicina OTUs CIST, CORS and LONG (part II). Individual ranks of overall alignments of hair cover of submedian sigilla on mesonotum vs. black portion shining through hairs on sternites IV to VI (see green framed body sectors; Nind = 70). Photographs visualize extreme phenotypes. Individuals were labelled with a random number and sorted twice for each character from photographs of live individuals and alignments differed only by a mean of 4.7 (sigilla) respectively 6.5 rank positions (sternites). Significances were similar and mean ranks of individuals of repeated alignments are shown here. CORS and T. c. corsica are merged for easier illustration.
Figure 2 in Look closely and listen carefully: unexpected cicada diversity in northern Sardinia, with the description of a new species (Cicadidae: Tibicina)
Figure 2. Calling song examples of the Tibicina OTUs from northern Sardinia. A, sonograms of LONG and CIST (10-s phrases). B, oscillograms (time vs. amplitude) of four different OTUs (0.5-s phrases, left and 0.1-s phrases, right) with terms marked.
Figure 1 in Look closely and listen carefully: unexpected cicada diversity in northern Sardinia, with the description of a new species (Cicadidae: Tibicina)
Figure 1. Map with investigated populations in northern Sardinia and southern Corsica. The size of the circles is relative to the number of analysed specimens (Nmax = 15, Nmin = 1).
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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.