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24 results for “noise perception”
Raw and post-processed data for the microscopic investigation of the effect of random envelope fluctuations on phoneme-in-noise perception
<p>The current dataset consists of three main folders:</p> <ul> <li><strong>01-Stimuli/</strong>: Contains the three sets of noises (white noise, bump noise, MPS noise) for the 12 study participants (S01 to S12).</li> <li><strong>02-Raw-data/fastACI/</strong>: Contains the raw data as obtained for each participant, which are also available within the GitHub repository of the fastACI toolbox, using the same directory tree. The results for each (anonymised) participant (under: <strong>publ_osses2022b/data_SXX/1-experimental_results/</strong>) include their audiometric thresholds (folder: <strong>audiometry</strong>), the results for the Intellitest speech test (folder: <strong>intellitest</strong>), and for the phoneme-in-noise test /aba/-/ada/ for the three noises (savegame files in MAT format).</li> <li><strong>02-Raw-data/ACI_sim/</strong>: Contains the raw data as obtained for the artificial listener, i.e., the model osses2022a.m (available within the fastACI toolbox). Twelve sets of simulations (using the waveforms of participants S01 to S12) were run for the three types of test noises. The results of the simulations of the phoneme-in-noise test are stored in the savegame MAT files. The template derived from 100 repetitions of /aba/ and /aba/ at an SNR=-6 dB in white noise is also included (template-osses2022a-speechACI_Logatome-abda-S43M-trial-1-v1-white-2022-7-15-N-0100.mat). The same template was used in all simulations.</li> <li><strong>03-Post-proc-data/ACI_exp/</strong>: Auditory classification images (ACIs) derived from the participants' data (folder: <strong>ACI_exp</strong>) and from the simulations (folder: <strong>ACI_sim</strong>). For each participant (or artificial listener) there are three ACIs (MAT files) for each of the corresponding noises. Cross predictions are also included with performance predictions across 'participants' (Crosspred.mat, 12 cross predictions for each noise) or across 'noises' (Crosspred-noise.mat, 3 cross predictions for each participant). The cross predictions all have the same names but are stored in dedicated directories.</li> </ul> <p><strong>Use these data:</strong></p> <ol> <li>Download all these data, place them in a local directory of your computer. If you have MATLAB and you downloaded a local copy of the fastACI toolbox (open access at: <a href="http://github.com/aosses-tue/fastACI">GitHub</a>) you can recreate the figures of our paper.</li> <li>After initialising the toolbox (type 'startup_fastACI;', without quotation marks in MATLAB) and then type either of the following commands, to recreate the figure you want. To recreate the figures in the main text:</li> </ol> <pre><code class="language-javascript">publ_osses2022b_JASA_figs('fig1','zenodo'); publ_osses2022b_JASA_figs('fig2a','zenodo'); publ_osses2022b_JASA_figs('fig2b','zenodo'); publ_osses2022b_JASA_figs('fig3','zenodo'); publ_osses2022b_JASA_figs('fig4','zenodo'); publ_osses2022b_JASA_figs('fig5','zenodo'); publ_osses2022b_JASA_figs('fig6','zenodo'); publ_osses2022b_JASA_figs('fig7','zenodo'); publ_osses2022b_JASA_figs('fig8','zenodo'); publ_osses2022b_JASA_figs('fig8b','zenodo'); publ_osses2022b_JASA_figs('fig9','zenodo'); publ_osses2022b_JASA_figs('fig9b','zenodo'); publ_osses2022b_JASA_figs('fig10','zenodo');</code></pre> <p>To generate the figures of the supplementary materials (Appendix in the BioRxiv preprint):</p> <pre><code class="language-javascript">publ_osses2022b_JASA_figs('fig1_suppl','zenodo'); publ_osses2022b_JASA_figs('fig2_suppl','zenodo'); publ_osses2022b_JASA_figs('fig3_suppl','zenodo'); publ_osses2022b_JASA_figs('fig3b_suppl','zenodo'); publ_osses2022b_JASA_figs('fig4_suppl','zenodo'); publ_osses2022b_JASA_figs('fig4b_suppl','zenodo'); publ_osses2022b_JASA_figs('fig5_suppl','zenodo'); publ_osses2022b_JASA_figs('fig5b_suppl','zenodo');</code></pre> <p><strong>References:</strong></p> <ul> <li><strong>Preprint</strong>: Alejandro Osses, Léo Varnet. "A microscopic investigation of the effect of random envelope fluctuations on phoneme-in-noise perception." BioRxiv.</li> <li><strong>fastACI toolbox</strong>: Alejandro Osses, Léo Varnet. fastACI toolbox: the MATLAB toolbox for investigating auditory perception using reverse correlation (v1.2). Zenodo. doi:<a href="https://doi.org/10.5281/zenodo.7314014">10.5281/zenodo.7314014</a>. Supplement to: <a href="http://github.com/aosses-tue/fastACI/tree/v1.2">https://github.com/aosses-tue/fastACI/tree/v1.2</a></li> </ul>
Raw data: Supra-threshold perception and neural representation of tones presented in noise in conditions of masking release
<p>Raw data of three experiments:</p> <p>1) Exp1: Psychoacoustical masked thresholds of tone in noise masker (ASCII format)</p> <p>2) Exp2: 64ch EEG data (Biosemi data format .bdf)</p> <p>3) Exp3: Salience rating of a tone masked by various maskers and levels above masked threshold. (ASCII format)</p> <p>Preprint with details on experiments submitted to BioRxiv: https://doi.org/10.1101/575720</p>
The role of isochrony in speech perception in noise - Dataset
<p>This dataset contains speech stimuli and listener data reported on in Aubanel & Schwartz (2020), DOI: <a href="http://dx.doi.org/10.1038/s41598-020-76594-1">10.1038/s41598-020-76594-1</a>. </p> <p><strong>French data</strong></p> <ul> <li>French sentences are taken from the Fharvard corpus (Aubanel et al., 2020, DOI: <a href="https://dx.doi.org/10.1016/j.specom.2020.07.004">10.1016/j.specom.2020.07.004</a>)</li> <li>Speech material and sentence recordings are available at: <a href="https://dx.doi.org/10.5281/zenodo.1462854">10.5281/zenodo.1462854</a></li> <li><strong>fr_stimuli.zip</strong> contains the stimuli presented to the listeners</li> <li><strong>fr_responses.csv</strong> contains the responses typed by listeners</li> </ul> <p><strong>English data</strong></p> <ul> <li>English sentences are taken from the Harvard corpus (Rothauser et al. 1969)</li> <li>Speech material and sentence recordings are taken from the MAVA corpus, available at: <a href="https://dx.doi.org/10.4227/139/59a4c21a896a3">10.4227/139/59a4c21a896a3</a></li> <li><strong>en_stimuli.zip</strong> contains the stimuli presented to the listeners</li> <li><strong>en_responses.csv</strong> contains the responses typed by listeners</li> </ul> <p> </p>
Data and code from: Dynamics of cortical contrast adaptation predict perception of signals in noise
<p>Neurons throughout the sensory pathway adapt their responses depending on the statistical structure of the sensory environment. Contrast gain control is a form of adaptation in the auditory cortex, but it is unclear whether the dynamics of gain control reflect efficient adaptation, and whether they shape behavioral perception. Here, we trained mice to detect a target presented in background noise shortly after a change in the contrast of the background. The observed changes in cortical gain and behavioral detection followed the dynamics of a normative model of efficient contrast gain control; specifically, target detection and sensitivity improved slowly in low contrast, but degraded rapidly in high contrast. Auditory cortex was required for this task, and cortical responses were not only similarly affected by contrast but predicted variability in behavioral performance. Combined, our results demonstrate that dynamic gain adaptation supports efficient coding in auditory cortex and predicts the perception of sounds in noise.</p>
Data and code from: Dynamics of cortical contrast adaptation predict perception of signals in noise
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Examining relationship between auditory brainstem responses, cognitive ability, and speech-in-noise perception among young adults with normal hearing thresholds
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Raw and post-processed data from the study "Mapping the spectrotemporal regions influencing perception of French stop consonants in noise"
<p>The current dataset contains all data needed to replicate the study from Carranante et al. "Mapping the spectrotemporal regions influencing perception of French stop consonants in noise"<strong><br></strong></p> <p><strong>Use these data:</strong></p> <ol> <li>Download all these data, place them in a local directory of your computer. If you have MATLAB and you downloaded a local copy of the fastACI toolbox (open access at: <a href="http://github.com/aosses-tue/fastACI">GitHub</a>) you can recreate the figures of our paper.</li> <li>After initialising the toolbox (type 'startup_fastACI;', without quotation marks in MATLAB) and then type either of the following commands, to recreate the figure you want. To recreate the figures in the main text:<br> <pre><code>publ_carranante2024_figs('fig1','zenodo'); </code></pre> <p>To generate the figures of the supplementary materials:</p> <pre><code>publ_carranante2024_figs('fig1_suppl','zenodo');</code></pre> </li> </ol> <p><strong>References:</strong></p> <ul> <li>Paper not published yet</li> <li><strong>fastACI toolbox</strong>: Alejandro Osses, Léo Varnet. fastACI toolbox: the MATLAB toolbox for investigating auditory perception using reverse correlation (v1.2). Zenodo. doi:<a href="https://doi.org/10.5281/zenodo.7314014">10.5281/zenodo.7314014</a>. Supplement to: <a href="http://github.com/aosses-tue/fastACI/tree/v1.2">https://github.com/aosses-tue/fastACI/tree/v1.2</a></li> </ul>
Experiment-based data published in "Entropy, pitch, and noise: organization and disorganization in the perception of closure for different types of spectra", JNMR
<p>This folder contains both the sonic excerpts used for an experiment measuring the level of perceived closure for sound stimuli presenting pitch, bell, and noise spectral structures, and the web application created to run the experiment. The web application can be uploaded in any server for trying it our.</p>
Noise in the OR at Induction: Patient and Anesthesiologists Perceptions
ClinicalTrials.gov study NCT04204785. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Comparing Articular Noise and Its Perception Between Two Different Types of Total Knee Arthroplasty
ClinicalTrials.gov study NCT06880497. IPD Sharing: UNDECIDED. Countries: 0. Publications: 2.
Improving Perception of Speech in Noise in Children With Communication Disorders
ClinicalTrials.gov study NCT04473729. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Long-term use benefits of personal frequency-modulated systems for speech in noise perception in patients with stroke with auditory processing deficits: a non-randomised controlled trial study
Objectives: Approximately one in five stroke survivors suffer from difficulties with speech reception in noise, despite normal audiometry. These deficits are treatable with personal Frequency Modulated systems (FMs). This study aimed to evaluate long term benefits in speech reception in noise, after daily 10 week use of personal FMs, in non-aphasic stroke patients with auditory processing deficits. Design: This was a prospective non randomised controlled trial study. Patients were allocated to an intervention care group or standard care subjects group according to their willingness to use the intervention or not. Setting: Tertiary care setting. Participants: Nine non-aphasic subjects with ischemic stroke, normal/near normal audiometry, and auditory processing deficits and with reported difficulties understanding speech in background noise were recruited in the subacute stroke stage (3-12 months after stroke). Interventions: Four patients (intervention care subjects) used the FMs in their daily life over 10 weeks. Five patients (standard care subjects) received standard care. Primary outcome measures: All subjects were tested at baseline (visit 1) and 10 weeks later (visit 2) on a sentences in noise test with the FMs (aided) and without the FMs (unaided). Results: Speech reception thresholds showed clinically and statistically significant improvements in intervention but not in standard care subjects at 10 weeks in both aided and unaided conditions. Conclusions: 10 week use of FM systems by adult stroke patients may lead to benefits in unaided speech in noise perception. Our findings may indicate auditory plasticity type changes and require further investigation.
The Effect of Cancer Treatments on Speech Perception in Noise, Cognition, and Hearing-Related Quality of Life
ClinicalTrials.gov study NCT06551857. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Long-term use benefits of personal frequency-modulated systems for speech in noise perception in patients with stroke with auditory processing deficits: a non-randomised controlled trial study
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The perception of emotional cues by children in artificial background noise
<p>This repository contains the necessary resources to replicate the experimental results presented in the article entitled "The perception of emotional cues by children in artificial background noise" published in the International Journal on Speech Technology on January 22, 2020.</p>
Noise Intensity and Its Impact on The Perception and Concentration Level Among Forest Harvesting Workers in Industrial Forest Plantation, North Sumatera, Indonesia
<p>Abstract</p> <p><strong>Background:</strong> Noise has the potential to affect the comfort and health of workers. The objective of this research was to find out the effect of noise caused by timber harvesting process using chainsaw on the concentration of workers in an industrial forest plantation.</p> <p>Methods: This cross-sectional study included 20 respondents which consisted of 10 chainsaw operators/helpers and 10 non-chainsaw operators. All respondents were exposed to the sound of chainsaw in three different conditions (idle, half gas and racing conditions) with and without personal protective equipments (PPE). The sound intensity produced by the chainsaw and the noise received by the respondents were measured using sound level meter. Respondents’ perception toward noise was recorded using Likert scale. Respondents’ concentration level was assessed by giving 25 math-questions that must be answered within 10 minutes. Wilcoxon sign rank test was used to analysed paired data.</p> <p>Results: the average sound intensity received by respondents’ left and right ear were lower than the average of sound intensity produced by the chainsaw. The average sound intensity produced by the chainsaw in idle condition was 101.3 dB, while that received by the right ear was 81.36 dB and the left ear was 82.86 dB. When the chainsaw was in half gas condition, the average sound intensity produced was 111 dB while that received by the right ear was 95.83 dB and the left ear was 97.11 dB. In racing condition, the average sound intensity produced by the chainsaw was 124.7 dB while that received by the right ear was 106.2 dB and the left ear was 107.7 dB, respectively. The use of earmuff leads to better perception towards noise when compared with the use of earplug and the absent of any personal protective equipment (PPE). Wilcoxon test result showed that noise did not have significant impact on the concentration level of chainsaw operators, whilst the contratry result is true for non-chainsaw operators.</p> <p>Conclusion: The research indicated that although the noise produced by the chainsaw machine was considered as noisy for both chainsaw operators and non-chainsaw operator, it did not give significant effect on the concentration level of chainsaw operators and only affects the non-chainsaw operators. Therefore, given that the non-chainsaw operators were still affected by the noise, noise control measures are still needed to ensure occupational safety and health for the workers.</p> <p>Keywords: Chainsaw; forest harvesting; industrial forest plantation; noise</p>
Effects of Live Music on the Perception of Noise in the SICU: A Patient, Caregiver, and Medical Staff Environmental Study
ClinicalTrials.gov study NCT02269527. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Improving Speech in Noise Perception for Individuals With Age-related Hearing Loss
ClinicalTrials.gov study NCT07192757. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multistability: Perception is Inspired by Noise
ClinicalTrials.gov study NCT03723044. IPD Sharing: NO. Countries: 1. Publications: 0.
Perceptions On Music And Noise In The OR
ClinicalTrials.gov study NCT04638296. IPD Sharing: NO. Countries: 1. Publications: 0.
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