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ShareScore release 0.9.0
Dataset results
14 results for “Audibility”
Acoustics, Audibility and Political Culture in the House of Commons, 1800-34
<p>This dataset includes the auralization results obtained from the acoustic models of the House of Commons in 1800-34, as part of the research with the homonymous paper submitted in the special issue "Parliamentary History Journal" (first submission September 2023). </p><p>The auralization results represent the perceived result from the acoustic models for the two discussed scenarios (full-occupied and half-full-occupied House of Commons). We present the results from 3 different speakers at 5 listening positions as shown in the images. </p><p>The anechoic sample is an excerpt of Henry Beaufoy's speech to the House of Commons in 1792 on the subject of the slave trade, performed by John Cooper (co-author) in the anechoic chamber at the Audiolab, University of York. The perceived differences and similarities of the recorded/simulated spaces as heard in these audio files help to further verify the results of the acoustic parameters presented in this paper.</p>
An Audibility Model of the Bone Conduction Device during Headband Trial in Single-sided Deaf Subjects.
<p><strong>Data of the study, including primary data, calculated data, analysis results and graphs.</strong></p> <p><strong>Related software</strong><br> <a href="https://doi.org/10.5281/zenodo.7295482">zenodo.7295482</a></p> <p><strong>Abstract<br> Objective</strong><br> Modelling the head-shadow-effect compensation and speech intelligibility outcomes, we studied the benefits of fitting a bone conduction device (BCD) during the headband trial in single-sided deafened (SSD) subjects.</p> <p><strong>Design</strong><br> The participants’ BCD settings were retrospectively used for measurements on the skull simulator. The sensation levels of the Bone-Conduction and Air-Conduction sound paths were compared, modelling three spatial conditions with the speech in quiet. When the difference between sensation levels was equivalent or greater than zero, this was scored as full head-shadow-effect compensation. We calculated the phoneme score using the Speech Intelligibility Index for the three conditions in quiet and seven in noise.</p> <p><strong>Study sample</strong><br> Data from eighty-five SSD adults fitted with a BCD during the headband trial.</p> <p><strong>Results</strong><br> According to our model, most subjects did not achieve a full head-shadow-effect compensation with the signal at the BCD side and in front. The modelled speech intelligibility in the quiet condition did not improve with the transcutaneous BCD compared with the unaided condition. In noise, we found a slight improvement in some specific conditions and minimal worsening in others.</p> <p><strong>Conclusions</strong><br> Based on an audibility model, this study challenges the fundamentals of a trial period with a transcutaneous BCD in SSD subjects.</p> <p> </p>
Audible Networks: Connecting Texts through Music in 16th-Century Swiss Printed Ballads
<p>In recent years, researchers of early modern print culture, particularly those concerned with news circulation, have increasingly embraced network analysis to account for the flow of information across different regions and media. Even though most of these studies focus on people or cities as nodes and hubs in networks of news distribution, interrelations on a textual level, such as networks of co-citation, have received some attention as well. These approaches, as well as examples of textual network analysis in media history of more recent periods, can serve as inspiration for the study of early modern printed ballads.<br> Like in other printed objects, connections between different ballads can be discerned on a textual level, i.e. as adaptations of existing lyrics, quotation or the combination of several ballads in one print. However, and perhaps obviously, ballads can also be associated on a musical level. The practice of using already existing, popular melodies as a basis for a new text – commonly referred to as “contrafactum” – has repeatedly been shown to be relevant not only as a mnemonic device, but as a means for alluding to themes of existing songs. Previous studies have suggested that this technique was often consciously employed by the authors of songs in order to add an additional layer of meaning.<br> This paper will present some early deliberations within the framework of an ongoing PhD project on political ballads of the 16th-century Swiss Confederation. The project as a whole examines songs from a perspective of media history, investigating their role in constructing and transmitting ideas and imaginations about diplomatic relations between the confederates. Using the example of “contrafactum-relations”, the paper will explore how a methodology inspired by network analysis might be useful in this endeavour. Based on an initial corpus of around 150 printed ballads (containing both original songs and reprints or adaptations of earlier songs) printed in Switzerland between 1530 and 1600, it will provide a visual representation of the connection between the different songs as a network in which individual printed songs function as nodes and melodies as edges. This will allow for the identification of particularly influential melodies, chains of “musical references” and clusters of songs which share the same melodies. These results, in turn, may be put in relation to the subject matter of the songs in question and compared to text-based networks, thus not only providing visual and quantitative evidence of the practice of contrafactum, but giving insight into the mechanisms by which information is transmitted through this particular medium.</p>
Supplementary material: Fantastic squeaks and where to find them: producing and analysing audible acoustics from leipäjuusto
Open the record for dataset details and reuse information.
The Immediate Effect of Combined Terminal Knee Extension Exercise With Audible Cues
ClinicalTrials.gov study NCT06565325. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Endotracheal Tube Audible Leak Test
ClinicalTrials.gov study NCT02461017. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Utility of the Audible Alert in Current Generation Medtronic Implantable Cardioverter-defibrillators
ClinicalTrials.gov study NCT01605500. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Audible Manipulation Sound in Non-specific Cervicothoracic Pain
ClinicalTrials.gov study NCT06934122. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from : Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning
<h2>Description</h2> <p>This repository serves as a complementary resource accompanying the academic paper titled "Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning" published in <em>Applied Acoustics </em>(available at: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.apacoust.2024.109955" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.apacoust.2024.109955</a>). It comprises a dataset containing the acoustic data, metadata, and perceptual annotations.</p> <p>In addition, we provide the .<em>h5</em> datasets and PyTorch model weights to run the code corresponding to the neural network section discussed in the paper (publicly accessible at: <a href="https://github.com/effajr/predicting_alarm_audibility">https://github.com/effajr/predicting_alarm_audibility</a>).</p> <p>The repository is composed of five .<em>zip</em> files:</p> <ul> <li><strong>source_audio </strong>: contains the source audio files used to generate the alarms and backgrounds present in the <strong>data</strong> file.</li> <li><strong>data</strong> : contains the audio files corresponding to the alarms and backgrounds, along with the perceptual annotations.</li> <li><strong>metadata</strong> : contains the metadata related to the alarms and backgrounds present in the <strong>data</strong> file, and to the source audio files contained in <strong>source_audio</strong>.</li> <li><strong>features </strong>: contains the .<em>h5</em> files representing the development and evaluation subsets (mel-spectrograms and perceptual labels) used in the deep learning approach presented in the paper.</li> <li><strong>trained_models </strong>: contains the PyTorch model weights for the 10 runs of model training mentionned in the paper.</li> </ul> <h2>How to use the data</h2> <p>To run the code present in the GitHub repository, we recommend extracting the files <strong>data</strong>.zip, <strong>features</strong>.zip and <strong>trained_models</strong>.zip in their corresponding folders in the "<strong>application</strong>" folder (see <a href="https://github.com/effajr/predicting_alarm_audibility">https://github.com/effajr/predicting_alarm_audibility</a>).</p> <h2>Content</h2> <p>Content of <strong>data</strong>.zip </p> <pre>annotations/ ├─ dev/ │ ├─ annotation_compilation_dev.csv : Compilation of all the listening conditions and <br>│ │ individual annotator responses for the development data.<br>│ ├─ dev_conditions.csv : Unique listening conditions (extracted from annotation_compilation_dev.csv). │ ├─ dev_labels.csv : All individual annotator responses for each <br>│ │ unique listening condition (extracted from annotation_compilation_dev.csv). │ ├─ dev_train_valid_split.csv : Random 80%/20% training/validation split used for development <br>│ │ in the experiments reported in the paper. ├─ eval/<br>│ ├─ annotation_compilation_eval.csv : Compilation of all the listening conditions and individual annotator <br>│ │ responses for the evaluation data.<br>│ │ The column 'clearly_audible_mean' represents individual annotator <br>│ │ binary responses evaluated for each listening condition.<br>│ │ The column 'clearly_audible_pf' represents individual annotator <br>│ │ psychometric functions evaluated for each listening condition.<br>│ │<br>│ ├─ eval_conditions.csv : Unique listening conditions (extracted from annotation_compilation_eval.csv). │ ├─ eval_labels_apf.csv : All individual annotator psychometric function values for each <br>│ │ unique listening condition (extracted from annotation_compilation_eval.csv). │ ├─ eval_labels_mv.csv : All individual annotator binary responses for each <br>│ │ unique listening condition (extracted from annotation_compilation_eval.csv)<br>│<br>audio/ : <em>.wav</em> files corresponding to the alarms and backgrounds for Development and <br> Evaluation subsets of the dataset. ├─ dev/ │ ├─ alarms/ │ ├─ backgrounds/ ├─ eval/ │ ├─ alarms/ │ ├─ backgrounds/<br><br><br>Content of <strong>metadata</strong>.zip <br><br>├─ audio_metadata.xlsx : Table of the alarms and background files with short descriptions, <br>│ source file names, and temporal information (in seconds). ├─ source_file_metadata.xlsx : Metadata table of the original files used to generate alarms and backgrounds. </pre>
Evaluation of Performances, Clinical Benefits and Safety of the 'Audiocap' Connected Hearing Rehabilitation Device for Improving Audibility in Hearing-impaired People in the Context of CE Marking - AU
ClinicalTrials.gov study NCT07252492. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of Silent Alarm Delivery Versus Standard Audible Alarm Delivery in Intensive Care and High Dependency Units
ClinicalTrials.gov study NCT07364097. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Audible Alarm on the Fluid Consumption of the Elderly
ClinicalTrials.gov study NCT04242745. IPD Sharing: NO. Countries: 1. Publications: 0.
Exercise With Audible Cues on Motor Unit Behavior in Athletes With Anterior Cruciate Ligament Reconstruction
ClinicalTrials.gov study NCT06662955. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Investigation of the Audible ICD Alert Tone
ClinicalTrials.gov study NCT06388382. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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