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27 results for “noise reduction”
Noise Reduction by NBS in Valladolid city
<p>Noise pollution by traffic, construction works, etc. is a common city problem. Nuisance from noise is detrimental to neighbourhood liveability, living comfort and work environments, and can increase risk of serious health problems such as hearing loss and cardiovascular disease.</p> <p>Urban ecosystems provide noise reduction services by serving as a natural sound buffer. Vegetation provides both a direct and an indirect barrier to environmental noise. Starting with its direct functions, green belts attenuate noise by absorption, dispersal, and destructive interference of sound waves, though sound levels can intensify locally if measured right below tree crowns. Indirect noise reduction effects are generated by lessened wind speeds and the absorptive capacity of pervious soils. UGS also proved to offer noise reducing services via psychological effects: just observing the presence of a green wall can lead people to perceive less noise nuisance or alter the perception of noise as sounds such as flowing water, bird singing, and leaves rustling in the wind mask disturbing background noise.</p> <p>On the other hand, the methodology proposed for this KPI is based and uses the methodology and tools proposed by the European Commission Working Group Assessment of Exposure to Noise (WG-AEN).</p> <p>The Environmental Noise Directive (END) requires two main indicators to be applied in the assessment and management of environmental noise. The first indicator (Lden) is the noise level for the day, evening and night periods and is designed to measure ‘annoyance’. The END defines an Lden threshold of 55 dB. The second indicator (Lnight) is the noise level for night-time periods and is designed to assess sleep disturbance. The END defines an Lnight threshold of 50 dB. Member States must report the numbers of people who are exposed to noise levels above both thresholds for each noise source (e.g. roads, railways, airports, industry).</p>
Data Archive for "Speckle Noise Reduction via Linewidth Broadening for Planetary Laser Reflectance Spectrometers"
<p>This archive contains the raw speckle images and experimental notes for the data contained in the journal article: "Speckle Noise Reduction via Linewidth Broadening for Planetary Laser Reflectance Spectrometers".</p> <p>The data available are:</p> <p>Raw speckle images for each of 5 illumination sources:</p> <ol> <li>Single-Frequence diode (files are named "IPS")</li> <li>Dual Mode pump diode (files are named "II-IV")</li> <li>Fabry Perot didoe (files are names "FP")</li> <li>Superluminescent Diode (files are named "SLD")</li> <li>Whilte light halogen source (files are named "WL")</li> </ol> <p>For each of theses source there are 5 images for each reflectance target, four speckle patterns and one background image with the laser source off. The naming convention is:</p> <p>LaserName_TargetReflectance_Target Rotation State or BKG.tiff</p> <p>For example, IPS_50_2 is the single-frequency laser using the 50% reflectance target and second rotation state of the target.</p> <p>The integration time for each image is give in the file "Experiment Paramters.csv" and was manually change to keep the maximum intensity at roughly 75% saturation.</p> <p>The spectra of the three laser sources presented in the manuscript are also included as .csv files</p>
Birdsong NOIZEUS: Bioacoustics noise reduction benchmark dataset
<p>------------------------------------------------------------------------<br>Birdsong noizeus dataset<br>------------------------------------------------------------------------</p> <p>Authors: Tim Sainburg & Asaf Zorea<br>Year: 2024</p> <p>------------------------------------------------------------------------<br>General information<br>------------------------------------------------------------------------<br>- There are 5 recordings from each of 14 individuals (European starlings) recorded in an acoustically isolated chamber. <br>- For each song, we apply noise at 5 SNR levels (0dB, 5dB, 10dB, 15dB). <br>- There are 8 noise types, each taken from a single noise clip from the "Soundscapes from around the world" dataset.<br>- They are "rain", "town", "wind", "waterfall", "insect", "swamp" "frogscape", "forest"<br>- Each soundscape contains multiple noise sources. <br>- Noise levels were estimated using the pyloudnorm software (Steinmetz et al., 2021)<br>- Audio is provided as waveforms at 44100 samplerate</p> <p>------------------------------------------------------------------------<br>Data format<br>------------------------------------------------------------------------</p> <p>- clean<br> - {bird_name}_{timestamp}.wav<br>- noisy<br> - {snr}dB<br> - {bird_name}_{timestamp}_{noise_category}_{snr}.wav<br>- noise_sample<br> - {snr}dB<br> - {bird_name}_{timestamp}_{noise_category}_{snr}.wav</p> <p>`clean` contains the original clean audio.<br>`noisy` contains the song+noise<br>`noise_sample` contains a 1-second sample of noise only. </p> <p>Timestamp is in the format YYYY-MM-DD_HH-MM-SS-MILLISECONDS and refers to the time that the song was recorded. </p> <p>------------------------------------------------------------------------<br>Data sources<br>------------------------------------------------------------------------</p> <p>Birdsong<br>---------<br>Birdsong are acoustically isolated songs from 14 European Starlings<br>https://zenodo.org/records/3237218</p> <p>Citation: <br>Arneodo, Z., Sainburg, T., Jeanne, J., & Gentner, T. (2019). An acoustically isolated European starling song library (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3237218</p> <p>This dataset is available under the following license:<br>- Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/legalcode)</p> <p><br>Noise<br>-----<br>Noise are taken from the Xeno-canto - "Soundscapes from around the world" dataset<br>https://www.gbif.org/dataset/ff571aeb-46bf-45c4-ad2c-af4d68315765</p> <p>Citation:<br>Vellinga W (2024). Xeno-canto - Soundscapes from around the world. Xeno-canto Foundation for Nature Sounds. Occurrence dataset https://doi.org/10.15468/9u3zaq accessed via GBIF.org on 2024-10-17.</p> <p>We sampled 8 soundscapes from this dataset:<br> 1. Rain https://www.gbif.org/occurrence/4523646364<br> - Virginia<br> - 457s<br> - rain, Recording of the feeders in the backyard with a light rain falling on the leaf litter, while a freight train passes by ~1/2 mile away.<br> 2. Town https://xeno-canto.org/696263<br> - 2:22<br> - the closer habitat are greater trees and coniferes ..smaller bushes ...some other Krautgärten ... traffic-noise is to hear..as airplanes,too.<br> - insects, birds, bells, traffic?, airplane<br> - Germany<br> 3. Wind https://xeno-canto.org/911773<br> - 5:29<br> - Very windy day, grassland to shrubland habitat<br> - Wisconsin<br> 4. Waterfall https://xeno-canto.org/406993<br> - 24:02<br> - sound scenes captured in a river forest with zarzas, hiedras and other matorrales at the edge of a small waterfall.<br> - Spain<br> 5. Insect https://xeno-canto.org/454914<br> - 5:45<br> - Australia<br> - cicadias, birds,<br> 6. Swanp https://xeno-canto.org/909875<br> - 2:24<br> - Swampy area along dirt road/trail. Species Include: American Bullfrog, Cricket Frogs, American Crow, Prothonotary Warbler, Red-winged Blackbird, Indigo Bunting, Northern Cardinal<br> 7. Frogscape https://xeno-canto.org/718213<br> - 4:42 <br> - European Tree Frog Hyla arborea Green Frog Pelophlyax sp.<br> - Austrial <br> 8. Forest https://xeno-canto.org/900744 <br> - 3:04<br> - Sweden<br> - A beautiful choir with frogs, toads, geese and ducks to enjoy in the darkness a foggy night.<br> <br> <br> <br>All noise recordings have one of the following licensesL<br>- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/)<br>- Creative Commons Attribution-ShareAlike 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)</p> <p><br>Additional information about the noise dataset</p> <p><br>------------------------------------------------------------------------<br>citations<br>------------------------------------------------------------------------</p> <p>Steinmetz, C. J., & Reiss, J. (2021, May). pyloudnorm: A simple yet flexible loudness meter in python. In Audio Engineering Society Convention 150. Audio Engineering Society.</p> <p>Arneodo, Z., Sainburg, T., Jeanne, J., & Gentner, T. (2019). An acoustically isolated European starling song library (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3237218</p> <p>Vellinga W (2024). Xeno-canto - Soundscapes from around the world. Xeno-canto Foundation for Nature Sounds. Occurrence dataset https://doi.org/10.15468/9u3zaq accessed via GBIF.org on 2024-10-17.</p>
Audio Examples for "Directional Frequency Filtering of Recordings in Spherical Harmonics Domain for Innovative Noise Reduction Strategies"
<p>This is a collection of audio examples of the processing corresponding to the master thesis "Directional Frequency Filtering of Recordings in Spherical Harmonics Domain for Innovative Noise Reduction Strategies"<br> The examples (ambisonics and binaural) contain recordings of moving sources in an anechoic chamber, which were made within different scenes partly containing noise barriers. Furthermore the simulation of noise barriers was implemented using directional filtering within a plane wave decomposition of the signals in sh domain.</p>
Data for: Small reductions in cargo vessel speed dramatically reduce noise impacts to marine mammals
<p><span>Global reductions in the underwater radiated noise levels from cargo vessels are needed to reduce increasing cumulative impacts to marine wildlife. We use a vessel exposure simulation model to examine how reducing vessel source levels through slowdowns and technological modifications can lessen impacts on marine mammals. We show that the area exposed to ship noise reduces dramatically with moderate source level reductions that can be readily achieved with small reductions in speed. Moreover, slowdowns reduce all impacts to marine mammals despite the longer time that a slower vessel takes to pass an animal. We conclude that cumulative noise impacts from the global fleet can be reduced immediately by slowdowns. This solution requires no modification to ships and is scalable – from local speed reductions in sensitive areas to ocean basins. Speed reductions can be supplemented by routing vessels away from critical habitats and by technological modifications to reduce vessel noise.</span></p>
Impulse sounds for the evaluation of impulse or transient noise reduction
<p>This data set includes nine impulse or transient sounds which have been used for the evaluation of impulse noise reduction in hearing aids.</p><p> </p><p><strong>Evaluation of impulse noise reduction in hearing aids with technical measurements and ratings of discomfort</strong></p><p>Hendrik Husstedt, Wiebke Hilgerdenaar, Marlitt Frenz, Florian Denk and Jürgen Tchorz</p><p>Acta Acust., 7 (2023) 47, DOI: <a href="https://doi.org/10.1051/aacus/2023042">https://doi.org/10.1051/aacus/2023042</a></p><p> </p><p> </p><p>All signals are provided as Wave files and "-mat" files. Each recording has a length of 155 ms and the impulse starts after 5 ms.</p><p>Wave files:</p><p>- full scale value corresponds to 200 Pa sound pressure or 140 dB SPL peak sound pressure level </p><p>- 96.000 sample rate</p><p>- 24 bits per sample</p><p>.mat file "sData.mat":</p><p>data.fs ... sample rate</p><p>data.t ... time vector to plot the signals</p><p>data.impulses(1).name ... name of the first impulse signal</p><p>data.impulses(1).signal ... first impulse signal</p><p>data.impulses(1).dBCpeak ... C-weighted peak sound pressure level of the first impulse signal</p><p> </p>
Data for: Small reductions in cargo vessel speed dramatically reduce noise impacts to marine mammals
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Data from: Phylogenetic signal detection from an ancient rapid radiation: effects of noise reduction, long-branch attraction, and model selection in crown clade Apocynaceae
Crown clade Apocynaceae comprise seven primary lineages of lianas, shrubs, and herbs with a diversity of pollen aggregation morphologies including monads, tetrads, and pollinia, making them an ideal group for investigating the evolution and function of pollen packaging. Traditional molecular systematic approaches utilizing small amounts of sequence data have failed to resolve relationships along the spine of the crown clade, a likely ancient rapid radiation. The previous best estimate of the phylogeny was a five-way polytomy, leaving ambiguous the homology of aggregated pollen in two major lineages, the Periplocoideae, which possess pollen tetrads, and the milkweeds (Secamonoideae plus Asclepiadoideae), which possess pollinia. To assess whether greatly increased character sampling would resolve these relationships, a plastome sequence data matrix was assembled for 13 taxa of Apocynaceae, including nine newly generated complete plastomes, one partial new plastome, and three previously reported plastomes, collectively representing all primary crown clade lineages and outgroups. The effects of phylogenetic noise, long-branch attraction, and model selection (linked versus unlinked branch lengths among data partitions) were evaluated in a hypothesis-testing framework based on Shimodaira–Hasegawa tests. Discrimination among alternative crown clade resolutions was affected by all three factors. Exclusion of the noisiest alignment positions and topologies influenced by long-branch attraction resulted in a trichotomy along the spine of the crown clade consisting of Rhabdadenia + the Asian clade, Baisseeae + milkweeds, and Periplocoideae + the New World clade. Parsimony reconstruction on all optimal topologies after noise exclusion unambiguously supports parallel evolution of aggregated pollen in Periplocoideae (tetrads) and milkweeds (pollinia). Our phylogenomic approach has greatly advanced the resolution of one of the most perplexing radiations in Apocynaceae, providing the basis for study of convergent floral morphologies and their adaptive value.
Global occurrence of higher-bands ECH waves in radiation belts based on a novel noise reduction algorithm
<p>The database of ECH waves based on observations from Van Allen Probes between September 17, 2012 and October 13, 2019. The probe and the year of observations are marked in the data file names. The columns from left to right are: the mean value of the SuperMAG electrojet index in the previous hour, L-Shell, the magnetic local time, the magnetic latitude, the wave amplitude of band 1to band 4.</p>
Prospective Trial on Noise Reduction in Surgical Operating Theaters
ClinicalTrials.gov study NCT01612754. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Hearing Aid Noise Reduction in Pediatric Users (Oticon Study)
ClinicalTrials.gov study NCT03771287. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Phylogenetic signal detection from an ancient rapid radiation: effects of noise reduction, long-branch attraction, and model selection in crown clade Apocynaceae
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Data from: A single microphone noise reduction algorithm based on the detection and reconstruction of spectro-temporal features
Animals throughout the animal kingdom excel at extracting individual sounds from competing background sounds, yet current state-of-the-art signal processing algorithms struggle to process speech in the presence of even modest background noise. Recent psychophysical experiments in humans and electrophysiological recordings in animal models suggest that the brain is adapted to process sounds within the restricted domain of spectro-temporal modulations found in natural sounds. Here, we describe a novel single microphone noise reduction algorithm called spectro-temporal detection–reconstruction (STDR) that relies on an artificial neural network trained to detect, extract and reconstruct the spectro-temporal features found in speech. STDR can significantly reduce the level of the background noise while preserving the foreground speech quality and improving estimates of speech intelligibility. In addition, by leveraging the strong temporal correlations present in speech, the STDR algorithm can also operate on predictions of upcoming speech features, retaining similar performance levels while minimizing inherent throughput delays. STDR performs better than a competing state-of-the-art algorithm for a wide range of signal-to-noise ratios and has the potential for real-time applications such as hearing aids and automatic speech recognition.
Evaluating a Noise Reduction Algorithm With Cochlear Implant Users
ClinicalTrials.gov study NCT05805384. IPD Sharing: YES. Countries: 1. Publications: 0.
Noise Reduction Preferences in Teenagers and Pre-teens
ClinicalTrials.gov study NCT05372094. IPD Sharing: NO. Countries: 1. Publications: 0.
Direct Noise Reduction in the Intensive Care Units (ICU) Using Earplugs and Noise Canceling Headphones
ClinicalTrials.gov study NCT01343095. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: A single microphone noise reduction algorithm based on the detection and reconstruction of spectro-temporal features
Open the record for dataset details and reuse information.
S100A4 mRNA-protein relationship uncovered by measurement noise reduction
GEO Series GSE147550. Canis lupus familiaris. 11 samples. Type: Expression profiling by high throughput sequencing.
AI Noise Reduction in Phonak Hearing Aids
ClinicalTrials.gov study NCT06743295. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Novel Noise Reduction Principles in Hearing Instruments
ClinicalTrials.gov study NCT05582408. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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