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88 results for “Audiovisual”

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zenodo36/100

Images and audiovisual on end of life management practices

<p>Photos of <span>collected virgin and used&nbsp; Agricultural Plastic (AP) and Agricultural Plastic Waste (APW)&nbsp;</span></p>

opencc-by-4.0May 2024View details →
zenodo36/100

Audiovisual recordings of acted casual conversations between four speakers in German

<p>This dataset was used in a study by Hendrikse et al. (2018). It contains 7 audiovisual recordings of acted casual conversations between 4 actors (two males and two females), as well as 2-3 questions about the content of each of the conversations asked by one of the speakers. The conversations last between 1min 24s to 1min 39s and the topics are food, holidays/travelling, weather, work, plans, movies and anecdotes. Two of the actors are native speakers and two are non-native speakers with a C1 level of German. The actors memorized the script and acted as in a casual conversation. The audiovisual material was recorded in a circular space with uniform purple background using two cameras (Canon EOS 700D) and one microphone for each speaker (Neumann KM 184).&nbsp;<br> Additionally the visual stimuli used in the aforementioned study&nbsp;with virtual characters is attached: a&nbsp;screencast of&nbsp;&nbsp;a simulation of each conversation with virtual characters (Makehuman) with gaze to target speaker and lip-syncing (Llorach et al. 2016). The 3D scene is rendered with Blender3D with a camera with a 120&ordm; field-of-view.</p> <p>&nbsp;</p> <p>References:</p> <p>M.M.E. Hendrikse, G. Llorach, G. Grimm, V. Hohmann. Influence of visual cues on head and eye movements during listening tasks in multi-talker audiovisual environments with animated characters, Accepted in Special Issue on Realism in Robust Speech and Language Processing of Speech Communication, 2018.</p> <p>Llorach G, Evans A, Blat J, Grimm G, Hohmann V. Web-based live speech-driven lip-sync. In Games and Virtual Worlds for Serious Applications (VS-Games), 2016 8th International Conference on 2016 Sep 7 (pp. 1-4). IEEE.</p>

opencc-by-nc-4.0Mar 2018View details →
zenodo36/100

'Signal integrity' in the Audiovisual Media Services Directive: Process, positions and policies examined and explained

<p>Tables 1 &amp; 2 can be used as complementary material for readers of the forthcoming article (2021) in the Journal of Digital Media &amp; Policy entitled&nbsp;<em>&lsquo;Signal integrity&rsquo; in the Audiovisual Media Services Directive: Process, positions and policies examined and explained.</em>&nbsp;Table 1 looks at the&nbsp;Mapping of modifications, processes and cases referred to by Article 7b and Recital 26 exemptions,&nbsp;while Table 2 presents the stakeholders&#39; argumentation relating to signal integrity based on economic and cultural positions, and the scope of the measure.&nbsp;For the online version of the article, these tables are&nbsp;referred to in-text in the shape of hyperlinks&nbsp;and full links in the printed version.</p> <p>The article&nbsp;aims&nbsp;to get a broad picture of current practices, positions and policy on signal integrity. Based on the findings, this article proposes a clear framework for the implementation of Article 7b.&nbsp;It identifies the key considerations made in relation to exemptions and consent and reveals the positions of the key stakeholders and the vacuum that is exists at the level of MS regulation. Therefore, the concept of &lsquo;signal integrity&rsquo; and the legal protections it sets on broadcasters&rsquo; signal will be explored.</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Limitations of Audiovisual Speech on Robots for Second Language Pronunciation Learning

<p>Additional material accompanying the HRI&#39;23 publication found at <a href="https://doi.org/10.1145/3568162.3578633">https://doi.org/10.1145/3568162.3578633</a>.</p> <p>Simulations showing the audiovisual speech performed by Furhat during the second language tutoring experiment.</p> <p>Each video consists of the Furhat saying a Dutch word, followed by saying the Japanese translation twice.</p> <p>Videos M1-M10 correspond to the Matched condition, M11-M20 to Mismatched, and M21-M30 to the Computer-generated lip movement.</p> <p>In the experiment, participants interacted with a physical Furhat, but as it is difficult to make video recordings of the Furhat, simulations are shown here to allow for high-fidelity comparison between conditions.</p>

opencc-by-4.0Nov 2022View details →
dryad36/100

Data from: Neural correlates of multisensory enhancement in audiovisual narrative speech perception: a fMRI investigation

<p>This fMRI study investigated the effect of seeing articulatory movements of a speaker while listening to a naturalistic narrative stimulus. It had the goal to identify regions of the language network showing multisensory enhancement under synchronous audiovisual conditions. We expected this enhancement to emerge in regions known to underlie the integration of auditory and visual information such as the posterior superior temporal gyrus as well as parts of the broader language network, including the semantic system. To this end we presented 53 participants with a continuous narration of a story in auditory alone, visual alone, and both synchronous and asynchronous audiovisual speech conditions while recording brain activity using BOLD fMRI. We found multisensory enhancement in an extensive network of regions underlying multisensory integration and parts of the semantic network as well as extralinguistic regions not usually associated with multisensory integration, namely the primary visual cortex and the bilateral amygdala. Analysis also revealed involvement of thalamic brain regions along the visual and auditory pathways more commonly associated with early sensory processing. We conclude that under natural listening conditions, multisensory enhancement not only involves sites of multisensory integration but many regions of the wider semantic network and includes regions associated with extralinguistic sensory, perceptual and cognitive processing.</p>

opencc-zeroApr 2023View details →
dryad36/100

Data from: Neural correlates of multisensory enhancement in audiovisual narrative speech perception: a fMRI investigation

Open the record for dataset details and reuse information.

publicMay 2023View details →
zenodo32/100

Audiovisual Aerial Scene Recognition Dataset

<p>This dataset&nbsp;provides&nbsp;5075 paired images and sound clips categorized to 13 scenes, for exploring the aerial scene recognition task. For more details, please refer to <a href="http://arxiv.org/abs/2005.08449">our paper</a>&nbsp;and <a href="https://github.com/DTaoo/Multimodal-Aerial-Scene-Recognition">code</a>.</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Experts views on information evaluation and verification: source reliability, content credibility and audiovisual material checking

<p>Experts can be asked about nformation evaluation and verification: source reliability, content credibility and audiovisual material checking.</p> <p>OER available at:&nbsp;<a href="https://multimedia.ciberimaginario.es/genially/2020/CRESCEnt/4.2.1/">https://multimedia.ciberimaginario.es/genially/2020/CRESCEnt/4.2.1/</a>&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Audiovisual integration of single consonants and consonant clusters (Audiovisual dataset)

<p>Audiovisual speech stimuli generated for the manuscript &ldquo;Audiovisual integration of single consonants and consonant clusters.&rdquo;</p> <p>The file &ldquo;AV_stimuli.zip&rdquo; contains congruent and incongruent (McGurk) audiovisual speech stimuli, which were generated with all possible audiovisual pairings of the disyllables /aba/, /aga/, /ada/, /abga/ and /abda/. The utterances were produced by a female native speaker of Swedish. The video recordings were made at a resolution of 1920 x 1080 and 30 frames per second. The sound was recorded at a bit depth of 24 bits and a sampling rate of 48 kHz.&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo32/100

Database of simulated impulse responses and a scene constructor framework for the Audiovisual Immersion Lab (AVIL) at DTU

<p>This package contains a set of simulated impulse responses (IRs) intended to represent low, mid, and high reverberation environments, originally developed for the Cognitive Control of a Hearing Aid (<a href="https://cocoha.org" target="_blank" rel="noopener">COCOHA</a>) project, and rendered to be reproduced in the Audiovisual Immersion Lab (AVIL) at the Technical University of Denmark (DTU).&nbsp;</p> <p>A MATLAB-based scene constructor framework is also provided, which allows the generation of acoustic scenes based on the supplied IR databases with any input signal, as well as providing a means to generate binaural output signals.</p> <p>The impulse responses are provided as <a href="https://www.sofaconventions.org/mediawiki/index.php/SOFA_(Spatially_Oriented_Format_for_Acoustics)" target="_blank" rel="noopener">SOFA</a> (Spatially Oriented Format for Acoustics) files, including metadata about source and receiver positions, and require installation of the <a href="https://sourceforge.net/projects/sofacoustics/" target="_blank" rel="noopener">MATLAB SOFA API.</a></p>

opencc-by-4.0Apr 2017View details →
zenodo32/100

Audiovisual stimuli for elicitation of prenasalized segments in Sàꞌán Sàvǐ ñà ñuù Xnúvíkó

<p>These files contain the stimuli used to elicit recordings of prenasalized segments in S&agrave;ꞌ&aacute;n S&agrave;vǐ &ntilde;&agrave; &ntilde;u&ugrave; Xn&uacute;v&iacute;k&oacute; for the study (Belmar &amp; Salazar 2023, available online: https://guarant.cz/icphs2023/675.pdf) and presented the the 20th International Congress of Phonetics Sciences in Prague in July 2023.&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Pérdida de la tradición oral: afianzamiento del discurso audiovisual y la generación de un público masivo

<p>Esta es una ponencia expuesta y subida en formato audiovisual.</p>

opencc-by-4.0May 2019View details →
zenodo32/100

Supplementary material - Blind comparison of binaural auralisations to a real loudspeaker in an audiovisual virtual classroom scenario: Effect of room acoustic simulation, HRTF dataset and head worn devices on rated room-acoustical attributes

<p>Additional Material for the paper "Blind comparison of binaural auralisations to a real loudspeaker in an audiovisual virtual classroom scenario: Effect of room acoustic simulation, HRTF dataset and head worn devices on rated room-acoustical attributes".</p> <p>&nbsp;</p> <p>This work is funded by the German Research Foundation&nbsp;(Deutsche Forschungsgemeinschaft, DFG) under the&nbsp;project ID 422686707, SPP2236 &ndash; AUDICTIVE &ndash; Auditory Cognition in Interactive Virtual Environments</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

In vivo intracellular recording in the mouse V1 during passive visual stimulations and audiovisual discrimination task

<p>Whole cell recordings (Vm channel) performed in the layer 2/3 primary visual cortex (V1) of awake mice. Recordings are performed in current clamp (Im channel). A local ECoG was placed on the dura in the vincinity of the recorded neuron. Vistim channels indicate the orientation of the drifting grating (Vistim 1 frequency), contrast (Vistim 1 amplitude), temporal frequency (Vistim 2 frequency), and spatial frquency (Vistim 2 amplitude). The diode signal indicates the exact timing of the stimulus presentation. The two mouse channels (Mouse1 adn Mouse2) indicate the movement of the spherical treadmill on which the animal is standing. In the behavior database, the mice are performing a behavioral task (additional information can be found in those files: licking channel, auditory channel (one of two tones) reward (laser channel)). The script and the data are using an Igor Pro format. For converting the two mouse signals into locomotion, please refer to the script AnalysisMouseWaveProc.ipf or the functions imbeded in LoadExperiments 2013.ipf . Those data have been used for the article Einstein et al., 2017 (https://doi.org/10.1523/JNEUROSCI.3868-16.2017). The excel sheet provides additional information about the recording. If you want to open the ibw files directly in Matlab, use IBWread, m file</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Audiovisual providers and resources in Greece

<p>This dataset presents&nbsp;audiovisual providers in Greece and also their resources. Both providers and resources have been reviewed and evaluated with certain selection criteria. The dataset was created to support the Open AudioVisual Archives project, an aggregation service for open access audiovisual material in Greece.&nbsp;</p>

opencc-by-nc-4.0Jul 2021View details →
ClinicalTrials.gov32/100

WAVE: AudioVisual Stimulation Enhances Cognitive, Mental and Physical Health in Elderly

ClinicalTrials.gov study NCT06686563. IPD Sharing: NO. Countries: 1. Publications: 12.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

'LIFEView' Audiovisual Technology: Virtual Travel to Support Wellbeing and Quality of Life at the End of Life

ClinicalTrials.gov study NCT04030910. IPD Sharing: NO. Countries: 1. Publications: 19.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Effect of Audiovisual Education on Breast Cancer

ClinicalTrials.gov study NCT06898229. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Behavior Management Using Audiovisual Tools

ClinicalTrials.gov study NCT01643915. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Effect of a Real-time Audiovisual Feedback System on CPR Quality

ClinicalTrials.gov study NCT03902873. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record