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3 results for “audiovisual timing”
Audiovisual Moments in Time: A Large-Scale Annotated Dataset of Audiovisual Actions
<p>We present Audiovisual Moments in Time (AVMIT), a large-scale dataset of audiovisual action events. In an extensive annotation task 11 participants labelled a subset of 3-second audiovisual videos from the Moments in Time dataset (MIT). For each trial, participants assessed whether the labelled audiovisual action event was present and whether it was the most prominent feature of the video. The dataset includes the annotation of 57,177 audiovisual videos, each independently evaluated by 3 of 11 trained participants. From this initial collection, we created a curated test set of 16 distinct action classes, with 60 videos each (960 videos). We also offer 2 sets of pre-computed audiovisual feature embeddings, using VGGish/YamNet for audio data and VGG16/EfficientNetB0 for visual data, thereby lowering the barrier to entry for audiovisual DNN research. We further carried out an experiment to explore the utility of the AVMIT annotations and feature embeddings. A series of 6 Recurrent Neural Networks (RNNs) were trained on either AVMIT-filtered audiovisual events or modality-agnostic events from MIT, and then tested on our audiovisual test set. In all RNNs, top 1 accuracy was increased by 2.71-5.94\% by training exclusively on audiovisual events, even outweighing a three-fold increase in training data. We anticipate that the newly annotated AVMIT dataset will serve as a valuable resource for research and comparative experiments involving computational models and human participants, specifically when addressing research questions where audiovisual correspondence is of critical importance.</p>
Burst timing determines perceived consonant order in the McGurk combination effect (Audiovisual stimuli)
<p>The file “AV_stimuli.zip” contains the audiovisual speech stimuli generated by a native French talker for the study “Burst timing determines perceived consonant order in the McGurk combination effect.”</p> <p>The stimuli were created by splitting the acoustic component of McGurk combination stimuli into two sequences. One sequence contained only the vowels /i_i/ (where the underscore represents a 300 ms intersyllabic pause). The other sequence contained the release burst and aspiration extracted from a natural articulation of /iki/. An auditory (A) continuum was then created by adding the burst and aspiration to the vowels at nine different temporal alignments (step size of 50 ms). At 0 ms, the midpoint of the burst coincided with the midpoint of the intersyllabic pause. At the extremes, -200 and 200 ms, the burst and aspiration almost completely overlapped with the initial or final vowel, respectively. Two audiovisual (AV) continua were then created by pairing the acoustic continuum with either visual (V) /ip_i/ or /i_pi/.</p> <p><strong>Filename list:</strong></p> <p><strong>s5:</strong>congruent<strong>AV</strong>/i_i/</p> <p><strong>s6-s14: </strong>AV continuum, <strong>V</strong>/ip_i/ <strong>+</strong><strong>A</strong>/i_i/ <strong>&</strong>burst paired at different asynchronies, -200, -150, -100, -50, 0, 50, 100, 150 and 200 ms, respectively.</p> <p><strong>s15-s23: </strong>AV continuum, <strong>V</strong>/i_pi/ <strong>+</strong><strong>A</strong>/i_i/ <strong>&</strong>burst paired at different asynchronies, -200, -150, -100, -50, 0, 50, 100, 150 and 200 ms, respectively.</p> <p><strong>S27-s35: </strong>A continuum, <strong>A</strong>/i_i/ <strong>&</strong>burst paired at different asynchronies, -200, -150, -100, -50, 0, 50, 100, 150 and 200 ms, respectively.</p>
The Effect of a Real-time Audiovisual Feedback System on CPR Quality
ClinicalTrials.gov study NCT03902873. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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