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919 results for “Hearing”
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18
Safety, Tolerability and Efficacy for CGF166 in Patients With Unilateral or Bilateral Severe-to-profound Hearing Loss
ClinicalTrials.gov study NCT02132130. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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>
Database of Head- and Hearing-Aid-Related Impulse Responses in the Gesture Lab
<p>Head- and hearing-aid-related impulse responses (HRIRs) were measured in the Gesture Lab at the Carl von Ossietzky University of Oldenburg (Hendrikse, 2018).</p>
Positive selection and inactivation in vision and hearing genes of cetaceans
<p>The transition to an aquatic lifestyle in cetaceans (whales and dolphins) resulted in a radical transformation in their sensory systems. Toothed whales acquired specialized high-frequency hearing tied to the evolution of echolocation, while baleen whales evolved low-frequency hearing. More generally, all cetaceans show adaptations for hearing and seeing underwater. To determine the extent to which these phenotypic changes have been driven by molecular adaptation, we performed large-scale targeted sequence capture of 179 sensory genes across the Cetacea, incorporating up to 54 cetacean species from all major clades as well as their closest relatives, the hippopotamuses. We screened for positive selection in 167 loci related to vision and hearing, and found that the diversification of cetaceans has been accompanied by pervasive molecular adaptations in both sets of genes, including several loci implicated in non-syndromic hearing loss (NSHL). Despite these findings, however, we found no direct evidence of positive selection at the base of odontocetes coinciding with the origin of echolocation, as found in studies examining fewer taxa. By using contingency tables incorporating taxon- and gene-based controls, we show that, while numbers of positively selected hearing and NSHL genes are disproportionately high in cetaceans, counts of vision genes do not differ significantly from expected values. Alongside these adaptive changes, we find increased evidence of pseudogenization of genes involved in cone-mediated vision in mysticetes and deep diving odontocetes. </p>
Data from: Pure-tone thresholds in adults aged 18 to 97 years and hearing aid use
<p>On an international level, estimates of the prevalence of hearing loss are often based on the criterion of the world health organization (WHO), but other criteria have also been applied. Both the prevalence of hearing loss and the number of hearing-aid fittings can be used to estimate the adoption rate, which is often regarded as being in need of improvement. To illustrate the effect of the prevalence criteria on the assessments, epidemiological data for hearing abilities in Oldenburg, Emden, and Aalen were used. The criteria were either based on the pure-tone audiogram, on speech recognition in noise, or on the subjective indication of hearing difficulties. The results showed a strong dependency of the adoption rate on the prevalence criterion. Criteria based on speech recognition in noise led to very high prevalence, but low adoption rates. Age-independent analysis resulted in similar adoption rates of approx. 25% for subjective hearing difficulties, for the common WHO criterion, and for the four-frequency-table of Röser. However, age-dependent analysis revealed large differences between the subjective indication and the criteria based on pure-tone audiometry. Overall, statements regarding the prevalence of hearing impairment and rate of hearing-aid adoption should always include the applicable criterion, and should either be viewed as age-dependent, or related to a standard population.</p>
DATA - Effects of Hearing Aid Amplification on Robust Neural Coding of Speech
<p>This data is presented in the following dissertation:<br /> Effects of Hearing Aid Amplification on Robust Neural Coding of Speech<br /> http://docs.lib.purdue.edu/open_access_dissertations/190/</p> <p>The code for analyzing this data is here:<br /> http://dx.doi.org/10.5281/zenodo.49296</p> <p>The data is organized as follows:</p> <ul> <li>The main file is Research.zip. This contains the directory structure within the "Research" folder.</li> <li>The contents of PhaseModulation.zip should be moved to "Research\Matlab"</li> <li>Everything else should be moved to "Research\Matlab\Vowel_STMP\ExpData"</li> </ul> <p> </p>
Presentation in HEARING: High-resolution structural and functional EAR imaging 2023: Three-dimensional vibration of the human tympanic membrane using a scanning laser doppler vibrometer
<p>This is for Bastian Baselt's poster presentation in HEARING: High-resolution structural and functional EAR imaging, Ascona, Switzerland in 2023, and the related data.</p>
HEAR NeurIPS 2021 Datasets (Holistic Evaluation of Audio Representations)
<p><strong>NOTES:</strong></p> <p><strong>* On Zenodo, please make sure you download datasets version 2021.3, not earlier versions. (2021.3 added the Vocal Imitations dataset at 48KHz. 2021.2 updated the tfds datasets.)</strong></p> <p><strong>* The datasets have different open licenses. Please see LICENSE.txt for each individual dataset's license.</strong></p> <p>These are the evaluation tasks for the HEAR (Holistic Evaluation of Audio Representations) 2021 NeurIPS challenge.</p> <p>The aim of this challenge is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios. The HEAR 2021 challenge invites you to create an audio embedding that is as holistic as the human ear, i.e., one that performs well across a variety of everyday domains: What approach best generalizes to a wide range of downstream audio tasks without fine-tuning?<br> <br> HEAR 2021 evaluates audio representations using a benchmark suite across a variety of domains, including speech, environmental sound, and music.</p> <p>For more information, see the <a href="https://neuralaudio.ai/hear2021-holistic-evaluation-of-audio-representations.html">HEAR 2021 website</a> and upcoming PMLR journal article.</p> <p>Datasets were all normalized to a common human-readable format using <a href="https://github.com/neuralaudio/hear-preprocess">hearpreprocess</a>. Until 2022-04-01, datasets will be mirrored at <a href="https://data.neuralaudio.ai/">data.neuralaudio.ai</a>. This Zenodo mirror has all audio task but only at 48000Hz sampling rate. For other sampling rates (16000, 22050, 32000, 44100), please download files (requester pays) from Google Storage gs://hear2021-archive/tasks/ or AWS s3://hear2021-archive/tasks/</p>
Modeling Word Importance in Conversational Transcripts from the Perspective of Deaf and Hard of Hearing Viewers
<ol> <li> <p><strong>MaskedPOSAugmentedData.csv</strong></p> </li> </ol> <p><strong>This file contains word embeddings of 6659 tokens augmented with POS tagging and word importance score. The embedding size for each token is a one dimensional vector of length 768 by 1. Due to augmenting POS tagging, the new feature vector becomes a size of 769 by 1. So now the total feature matrix size is 6659 by 769. In the dataset the final column represents the word importance score. </strong></p> <p><br> </p> <ol> <li> <p><strong>MaskedSentenceWithImportanceTag.csv</strong></p> </li> </ol> <p><strong>This dataset contains the newly generated sentence using standard Masking technique and their corresponding token-wise importance score.</strong><br> </p> <ol> <li> <p><strong>Data cleaning procedure</strong></p> </li> </ol> <p><strong>Using several steps, we have cleaned the “switchboard corpus” that we are using for this particular study. Here are the steps we followed:</strong></p> <p><strong>– Convert all the letter into lower case</strong></p> <p><strong>– Punctuation has be removed</strong></p> <p><strong>– Numbers or Cardinal values have been converted to text representation </strong></p> <p><strong>– We use lemmatization techniques to eradicate the possibility of multiple versions of the same word token.</strong><br> <br> </p> <p> </p> <ol> <li> <p><strong>Annotation Instruction</strong></p> </li> </ol> <p><strong>If researchers intend to produce additional masked text for further the size of the dataset, we recommend using the method we described in the paper.</strong></p> <p><strong>However, if someone wants to manually annotate the words or tokens in a dataset, it is important to remember that annotators need to put a score on each word based on its relative importance within a sentence or the information available around that text. It may not be appropriate to allow annotators to read the whole document first and then conduct annotation. Also using multiple annotators is recommended otherwise interrater agreement may not work well.</strong></p> <p> </p> <ol> <li> <p><strong>Test and training data splitting</strong></p> </li> </ol> <p><strong>As described in the paper, during our experiment, we have retained 10% of data as test data and use 90% data to train the models. For proper replication, we recommend reading our paper thoroughly. </strong></p> <p> </p> <ol> <li> <p><strong>We understand that the dataset size is relatively small for training and testing a model that might be reliable. It is important to remember that data annotation with this particular user group might be challenging. </strong></p> </li> </ol> <p> </p> <p><strong>N.B: While augmenting the new feature within the dataset, a portion of data has been excluded during the data curation phase. For validation, we have replicated the previous models so that we can measure how the dataset can perform with this newly formed dataset. </strong></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 visualization of the collected data corresponding to the following paper: "The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate Hearing, Communication, and Conversation disability: multinational experts' and patients' perspectives"
<p>These two PDF files include the data collected for a study conducted by Afghah et.al, 2022. They include the responses of the participant in this study to a newly developed self-rated ICF-based questionnaire. One file includes the responses to 30 demographic questions and the other one 88 ICF-based questions. The presented data were collected in Germany, the USA, and Egypt as well as overall data.</p> <p>The design of the questionnaire is described here:<br> Afghah, T., Alfakir, R., Meis, M., van Leeuwen, L. M., Kramer, S. E., Hammady, M., Youssif, M., & Wagener, K. C. (2021). The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate hearing, communication, and conversation disability: multinational experts' and patients' perspectives. Zenodo. https://doi.org/10.5281/zenodo.5534360.</p> <p>This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project ID: 352015383 – SFB 1330, C4.</p>
From hidden hearing loss to supranormal auditory processing by neurotrophin 3-mediated modulation of inner hair cell synapse density
<p><span><span>Loss of synapses between spiral ganglion neurons and inner hair cells (IHC synaptopathy), leads to an auditory neuropathy called hidden hearing loss (HHL) characterized by normal auditory thresholds but reduced amplitude of sound-evoked auditory potentials. It has been proposed that synaptopathy and HHL result in poor performance in challenging hearing tasks despite a normal audiogram. However, this has only been tested in animals after exposure to noise or ototoxic drugs, which can cause deficits beyond synaptopathy. Furthermore, the impact of supernumerary synapses on auditory processing has not been evaluated. Here, we studied mice in which IHC synapse counts were increased or decreased by altering neurotrophin 3 (Ntf3) expression in IHC-supporting cells. As we previously showed, postnatal Ntf3 knockdown or overexpression reduces or increases, respectively, IHC synapse density and suprathreshold amplitude of sound-evoked auditory potentials without changing cochlear thresholds. We now show that IHC synapse density does not influence the magnitude of the acoustic startle reflex or its prepulse inhibition. In contrast, gap-prepulse inhibition, a behavioral test for auditory temporal processing, is reduced or enhanced according to Ntf3 expression levels. These results indicate that IHC synaptopathy causes temporal processing deficits predicted in HHL. Furthermore, the improvement in temporal acuity achieved by increasing Ntf3 expression and synapse density suggests a therapeutic strategy for improving hearing in noise for individuals with synaptopathy of various etiologies.</span></span></p>
Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling
<p>Real-world data from hearing aids and Bluetooth connected smartphones. The associated data report can be found here: <a href="https://doi.org/10.3389/fnins.2019.00850">https://doi.org/10.3389/fnins.2019.00850</a></p>
Parametric bump noise data (from Varnet et al. 2019, Trends in Hearing)
<p>Data collected by Léo Varnet and Chloé Langlet<br> Parametric bump noise experiment (main experiment)</p> <p>See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise' (Varnet et al., 2019, Trends in Hearing)</p>
Bump noise ACI data (from Varnet et al. 2019, Trends in Hearing)
<p>Data collected by Leo Varnet<br> Bump noise ACI experiment (pilot experiment)</p> <p>See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise' (Varnet et al., 2019, Trends in Hearing)</p>
Data from: Evidence for convergent evolution of ultrasonic hearing in toothed whales (Cetacea: Odontoceti)
Toothed whales (Cetacea: Odontoceti) are the most diverse group of modern cetaceans, originating during the Eocene/Oligocene transition ~38 million years ago. All extant odontocetes echolocate; a single origin for this behavior is supported by a unique facial source for ultrasonic vocalizations and a cochlea adapted for hearing the corresponding echoes. The craniofacial and inner ear morphology of Oligocene odontocetes support a rapid (Simocetus and Olympicetus suggest an ability to generate ultrasonic sound, until now, the bony labyrinths of taxa of this grade have not been investigated. Here, we use µCT to examine a petrosal of a taxon with clear similarities to Olympicetus avitus. Measurements of the bony labyrinth, when added to an extensive dataset of cetartiodactyls, resulted in this specimen sharing a morphospace with stem whales, suggesting a transitional inner ear. This discovery implies that either the lineage leading to this Olympicetus–like taxon lost the ability to hear ultrasonic sound, or adaptations for ultrasonic hearing evolved twice, once in xenorophids and again on the stem of the odontocete crown group. We favor the latter interpretation as it matches a well-documented convergence of craniofacial morphology between xenorophids and extant odontocetes.
Hearing sensitivity: An underlying mechanism for niche differentiation in gleaning bats
<p>Supplemental data, Auditory Brain Response (ABR) measurement files, measured echolocation call parameter, echolocation call sequences</p>
FIG. 92 in Implications of the tympanal hearing organ and ultrastructure of chaetotaxy for the higher classification of Embioptera
FIG. 92. Optimization of the slender hook setae: state 0, present; state 1, absent.
FIG. 91 in Implications of the tympanal hearing organ and ultrastructure of chaetotaxy for the higher classification of Embioptera
FIG. 91. Optimization of broad/jagged setae: state 0, broad setae; state 1, jagged setae.
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International Brain Laboratory public data
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OpenNeuro
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