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10 results for “hearing-impaired”
Selective auditory attention in normal-hearing and hearing-impaired listeners
<p>This repository contains the EEG and behavioral data described in:</p> <p>Fuglsang, S A, Märcher-Rørsted, J, Dau, T, Hjortkjær, J (2020). Effects of sensorineural hearing loss on cortical synchronization to competing speech during selective attention. Journal of Neuroscience, 40(12):2562–2572, <a href="https://doi.org/10.1523/JNEUROSCI.1936-19.2020">https://doi.org/10.1523/JNEUROSCI.1936-19.2020</a> </p> <p>Please cite this paper when using the data</p> <p>The data set consists of response data for 22 hearing-impaired and 22 normal-hearing participants. It includes:<br> - EEG data: responses to two-talker and single-talker speech stimuli<br> - Envelopes of the corresponding speech audio<br> - EEG data: responses to 1 kHz tone beeps for ERPs<br> - EEG data: responses to periodic tone sequences for Envelope-following responses (EFRs)<br> - EEG resting-state data recorded with eyes-open and eyes-closed<br> - inEar EEG data for 19 of the 44 subjects (EEG recorded inside the ear canals)<br> - Behavioral data: speech comprehension scores, task difficulty ratings, speech-in-noise scores (SRTs), tone-in-noise scores, digit span working memory scores, SSQ questionnaire ratings<br> - Pure-tone audiograms</p> <p>For more information, see the README and 'dataset_description.json' file.</p> <p><br> Format<br> ------<br> The dataset is formatted according to BIDS version 1.3.0 and the BIDS standard extension for EEG (BEP006) that has been merged in the main body of the specification. For more details, see https://bids-specification.readthedocs.io/en/latest/06-extensions.html</p> <p>Behavioural data are stored in the 'participants.tsv' file. Task-difficulty ratings and multiple choice questionnaire data from the selective attention experiment are stored in the events files (see 'task-selectiveattention_events.json'). </p> <p> </p> <p>Code<br> ------<br> Code for analyzing the data is available at: https://gitlab.com/sfugl/snhl</p> <p> </p> <p>Audio<br> ------<br> Envelopes of the audio signals are included in the data set. For inquiries regarding the raw audio data, please send an email to jensh@drcmr.dk with the subject line "ds-eeg-snhl audio".</p> <p> </p> <p>Acknowledgments<br> ----------<br> This work was supported by the EU H2020-ICT grant number 644732 (COCOHA: Cognitive Control of a Hearing Aid) and by the Novo Nordisk Foundation synergy grant NNF17OC0027872 (UHeal). The EarEEG were kindly provided by Eriksholm Research Centre.</p>
Dataset, test programs and analysis scripts for the related paper "Effects of reverberation on speech intelligibility in noise for hearing-impaired listeners"
<p>This dataset contains the data, test programs and analyses scripts used for a study submitted as a stage 2 registered report for Royal Society Open Science.</p>
The EmoHI Test stimuli: Measuring vocal emotion recognition in hearing-impaired populations
<p>Before reading this file, make sure you have read the <strong>README.1.pdf</strong> file. That file also contains information about the <strong>license</strong> these materials are distributed under.</p> <p><em><strong>Versions</strong></em></p> <ul> <li><strong>Version 2</strong>: This is the current version. To cite this version specifically, use DOI 10.5281/zenodo.7997063. In this version we fixed some naming mistakes in the files (in 8 of the files the sentence was identified as <code>t2</code> instead of <code>s2</code>), and added two missing stimuli (<code>t5_neutral_t2_u04.wav</code> and <code>t5_sad_t1_u05.wav</code>).</li> <li><strong>Version 1</strong>: This was the initial version. To cite that version specifically, use DOI 10.5281/zenodo.3689710.</li> </ul> <p>The latest version of the EmoHI material can be downloaded from <a href="https://doi.org/10.5281/zenodo.3689709">https://doi.org/10.5281/zenodo.3689709</a>. Please always check that you have the latest version, and that you comply with the current license requirements.</p> <p><em><strong>The EmoHI Test</strong></em></p> <p>The EmoHI Test was developed to measure the accuracy at which participants can recognize vocal emotions based on pseudospeech sentences that were produced in a happy, angry sad, or neutral manner. The EmoHI Test recordings are particularly suitable for testing hearing-impaired populations due to their high sound quality. All recordings, including the ones that were used in Nagels <em>et al.</em> (2020, <em>PeerJ</em>, <a href="https://doi.org/10.7717/peerj.8773">doi: 10.7717/peerj.8773</a>), are made available here.</p> <p>The stimuli were recorded in an anechoic room at a sampling rate of 44.1 kHz. The microphone was placed at a distance of approximately 30 cm (12 in) from the speaker. The recordings were made by connecting a standing Røde NT1 microphone to a Presonus TubePre V2 preamplifier and a TASCAM DR-100 portable digital recorder. The gain of the recordings was adjusted for each emotion production using the preamplifier to record the stimuli at an intensity level that was approximately the same across emotions to reduce large intensity differences between the recordings of different emotions. The files are not RMS equalized.</p> <p><em><strong>Citation</strong></em></p> <p>When using this repository in your research, please cite the repository itself. For this version:</p> <blockquote> <p>Nagels L., Gaudrain E., Hendriks P., & Başkent D. (2023, June 2). The EmoHI Test stimuli: Measuring vocal emotion recognition in hearing-impaired populations. Version 2. <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.7997063">https://doi.org/10.5281/zenodo.7997063</a></p> </blockquote> <p>Also cite the PeerJ article that describes the material:</p> <blockquote> <p>Nagels L., Gaudrain E., Vickers D., Matos Lopes M., Hendriks P., Başkent D. (2020). Development of vocal emotion recognition in school-age children: The EmoHI test for hearing-impaired populations. <em>PeerJ</em> 8:e8773 <a href="https://doi.org/10.7717/peerj.8773">https://doi.org/10.7717/peerj.8773</a></p> </blockquote> <p><em><strong>Sound file name structure</strong></em></p> <p>The sound files are named using the following convention:</p> <p><code>t[1-6]_{emotion}_s{1,2}_u[01-18].wav</code></p> <ul> <li><code>t[1-6]</code> represents the <strong>talker</strong> who produced the stimulus: <code>t1</code>, <code>t2</code>, <code>t3</code>, <code>t4</code>, <code>t5</code>, or <code>t6</code></li> <li><code>{emotion}</code> is the label of the <strong>emotion</strong> that was produced: <code>neutral</code>, <code>happy</code>, <code>angry</code>, or <code>sad</code></li> <li><code>s{1,2}</code> is the <strong>pseudospeech sentence</strong> that was used: <code>s1</code> for "Koun se mina lod belam." <code>s2</code> for "Nekal ibam soud molen."</li> <li><code>u[01-18]</code> is the <strong>utterance</strong> number: Number ranging from <code>u01</code> to <code>u18</code></li> </ul> <p>For instance, <code>t1_happy_s2_u01.wav</code> is utterance 1 of talker <code>t1</code> producing emotion "happy" using sentence 2.</p> <p><em><strong>Talker demographic information</strong></em></p> <p>The table below gives an overview of the voice characteristics from the talkers who produced the EmoHI test stimuli.</p> <table> <thead> <tr> <th scope="col">Talker</th> <th scope="col">Age (years)</th> <th scope="col">Gender</th> <th scope="col">Height (m)</th> <th scope="col">Mean F0 (Hz)</th> <th scope="col">F0 range (Hz)</th> </tr> </thead> <tbody> <tr> <td>t1</td> <td>48</td> <td>f</td> <td>1.72</td> <td>253.14</td> <td>179.97 – 421.81</td> </tr> <tr> <td>t2</td> <td>36</td> <td>f</td> <td>1.68</td> <td>302.23</td> <td>200.71 – 437.38</td> </tr> <tr> <td>t3</td> <td>27</td> <td>m</td> <td>1.85</td> <td>166.92</td> <td>100.99 – 296.47</td> </tr> <tr> <td>t4</td> <td>45</td> <td>m</td> <td>1.90</td> <td>149.41</td> <td>96.97 – 274.72</td> </tr> <tr> <td>t5</td> <td>25</td> <td>f</td> <td>1.63</td> <td>282.89</td> <td>199.49 – 429.38</td> </tr> <tr> <td>t6</td> <td>24</td> <td>m</td> <td>1.75</td> <td>167.76</td> <td>87.46 – 285.79</td> </tr> </tbody> </table> <p><em><strong>Supporting data</strong></em></p> <p>The behavioural data from the PeerJ article is accessible at <a href="https://doi.org/10.34894/BDMX6D">https://doi.org/10.34894/BDMX6D</a>.</p>
Listening Benefits From a Hearing-aid App, a Personal Sound Amplification Product, and a Hearing Aid in Hearing-impaired Listeners
ClinicalTrials.gov study NCT05644106. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of a Signal-processing Algorithm Aiming at Improving Speech-in-noise Intelligibility in Normal-hearing and Hearing-impaired Persons
ClinicalTrials.gov study NCT04775810. IPD Sharing: NO. Countries: 1. Publications: 17.
Effect of an Aural Rehabilitation Program in Hearing-impaired Older Adults
ClinicalTrials.gov study NCT05083221. IPD Sharing: NO. Countries: 1. Publications: 1.
RCT on Traditional Exercise Interventions for Physical and Mental Health in Hearing-Impaired Individuals
ClinicalTrials.gov study NCT07259694. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Sound Perception Study of Hearing-impaired People With Hearing Aids
ClinicalTrials.gov study NCT06691087. IPD Sharing: NO. Countries: 0. Publications: 0.
Core Stabilization Training on Chest Expansion, Functional Capacity, Trunk Muscle Endurance in Hearing-Impaired Children
ClinicalTrials.gov study NCT06354400. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.
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