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10 results for “HRTF”
The Viking HRTF dataset v2
<p>The <strong>Viking HRTF dataset v2</strong> is a collection of head-related transfer functions (HRTFs) measured at the University of Iceland. It includes full-sphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with different pairs of artificial pinnae attached. The artificial pinnae were previously obtained through a custom molding procedure from different lifelike human heads (<em>courtesy of Ernst Backman, Saga Museum Reykjavík</em>).</p> <p>An overview of the methods and procedures of the HRTF measurement sessions can be found in the papers</p> <ul> <li>Simone Spagnol, Kristján Bjarki Purkhús, Sverrir Karl Björnsson, and Rúnar Unnthórsson (2019). <em><a href="https://doi.org/10.5281/zenodo.3249252">The Viking HRTF dataset</a>. </em>In: <em>Proceedings of the 16th Sound & Music Computing Conference (SMC 2019)</em>, pages 55-60, Málaga, Spain.</li> <li>Marius George Onofrei, Riccardo Miccini, Rúnar Unnthórsson, Stefania Serafin, and Simone Spagnol (2020). <em><a href="https://doi.org/10.5281/zenodo.3898720">3D ear shape as an estimator of HRTF notch frequency</a>. </em>In: <em>Proceedings of the 17th Sound & Music Computing Conference (SMC 2020)</em>, pages 131-137, Torino, Italy.</li> </ul> <p>A first version of the dataset has been released in May 2019. In this second version, the used artificial pinnae were re-casted from the existing inverse molds with 35 Shore OO silicone for both the left and right channels of the KEMAR. Furthermore, the HRTF measurements have been taken inside the anechoic chamber of the University of Iceland in Reykjavík and free-field compensated.</p> <p>The dataset, available in <a href="https://www.sofaconventions.org/mediawiki/index.php/SOFA_(Spatially_Oriented_Format_for_Acoustics)">SOFA</a> format, contains measurements for 20 different pairs of articial pinna replicas (subjects A to T, where T is a pair of standard large KEMAR anthropometric pinnae replicas) plus a pair of flat baffles simulating a "pinna-less" condition (subject Z).</p> <p>3D scans of the 20 left pinna replicas are available as STL files. The scans were captured at 1mm resolution with a Creaform Go!SCAN 20 (courtesy of <em>AAU Create Prototyping Lab</em>).</p> <p>The data is provided under the <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a> license that grants unlimited access for everyone. If you use this data please reference</p> <ul> <li>Simone Spagnol, Kristján Bjarki Purkhús, Sverrir Karl Björnsson, and Rúnar Unnthórsson (2019). <em>The Viking HRTF dataset. </em>In: <em>Proceedings of the 16th Sound & Music Computing Conference (SMC 2019)</em>, pages 55-60, Málaga, Spain.</li> <li>Simone Spagnol, Riccardo Miccini and Rúnar Unnthórsson (2020). <em>The Viking HRTF dataset v2</em>. DOI: 10.5281/zenodo.4160401</li> </ul>
HMDiR: an HRTF dataset measured on a mannequin wearing XR devices
<p>The HMDiR dataset (Head-Mounted-Display acoustic Impulse Responses) comprehends HRIR measurements for 1200 locations collected over a Neumann KU-100 mannequin fitted with a variety of HMDs used for virtual, augmented, or mixed reality. The database can be used to run subjective and objective studies on the impact of wearing headgear on spatial audio perception and source localization. Data is provided in <em>.mat</em> format, readable in MATLAB.</p> <p>Source locations measured comprehend 200 azimuth angles from 0º to 358.2º in steps of 1.8º and six elevation rings from -36º to +54º in steps of 18º. Distance is 1 meter. The data was measured in November 2017 using ScanIR v2.</p> <p>The headsets measured were the following:</p> <ul> <li>Microsoft Hololens (2016 version)</li> <li>Metavision Meta-2</li> <li>HTC Vive</li> <li>Samsung GearVR SM-R322 </li> <li>Oculus Rift CV1</li> </ul> <p>The data is available as <em>.mat </em>files prepared in two different formats:</p> <ul> <li><strong>MARL format:</strong> complete individual-entry-based structure, includes metadata information for elevation, azimuth, distance, headset type, location, measurement signal and sample rate</li> <li><strong>Compact format:</strong> simplified matrix for only HRIR data packed as a 6x200 matrix. Rows spanning elevations from -36º to +54º from top-to-bottom. Columns spanning azimuth positions from 0º to 358.2º (clockwise) left-to-right.</li> </ul> <p>If you make use of this dataset for academic purposes, please cite the following white paper:</p> <p><em>Andrea Genovese, and Agnieskza Roginska, HMDiR: an HRTF dataset measured on a mannequin wearing XR devices, Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society. </em></p>
A near-field Head-Related Transfer Function (HRTF) data set of KEMAR with high distance resolution
<p>A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented ('KEMAR_NFHRIRmea_1cm.sofa'). HRTFs are measured at 83448 spatial points at distances ranging from 20 to 110 cm, elevations from -25° to 35°, and azimuths from 0° to 355°. The distance resolution of the HRTF data is 1 cm, higher than that of any existing public near-field HRTF databases. Therefore, the dataset enables further exploration of the distance dependence of near-field HRTFs, and is beneficial for applications of realistic and dynamic binaural rendering of nearby sound sources. An additional data set of simulated HRTFs with 1.5 cm distance resolution is also provided ('KEMAR_NFHRIRsim_1.5cm.sofa') for a direct comparison with the measured HRTFs or other purposes.</p>
Loris HRTF dataset
<p>This dataset comprises Head-Related Transfer Functions (HRTFs) generated through an advanced data-driven, machine-learning-based approach. These HRTFs are personalized, direction-dense, and lowpass-filtered, derived from detailed meshes of individual user's head and a non-uniform set of dynamic data measurements.</p> <p>Please refer to the paper titled "An Approach for Mesh-Based Generation of Spatially Dense, Lowpass-Filtered, Individualized HRTFs Using Dynamic Data Acquisition" by Quattrini et al., presented at the AES 156th Convention, held from June 15–17, 2024, in Madrid, Spain.</p>
Kaikkien kappaleiden HRTF- ja HP6-vasteilla ekvalisoitujen LTAS ja spektrin keskipiste, sekä instrumenttien taajuussijainnit
<p>Kaikkien kappaleiden HRTF- ja HP6-vasteilla ekvalisoitujen LTAS ja spektrin keskipiste, sekä instrumenttien taajuussijainnit</p>
DataSet of the study SRM in the median plane with individual and mannequin HRTF
<p>Raw data collected in the study called: "Spatial Release from Masking in the median plane with non-native speakers using individual and mannequin Head Related Transfer Functions".</p>
Supplementary material - Blind comparison of binaural auralisations to a real loudspeaker in an audiovisual virtual classroom scenario: Effect of room acoustic simulation, HRTF dataset and head worn devices on rated room-acoustical attributes
<p>Additional Material for the paper "Blind comparison of binaural auralisations to a real loudspeaker in an audiovisual virtual classroom scenario: Effect of room acoustic simulation, HRTF dataset and head worn devices on rated room-acoustical attributes".</p> <p> </p> <p>This work is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) under the project ID 422686707, SPP2236 – AUDICTIVE – Auditory Cognition in Interactive Virtual Environments</p>
Kaikkien kappaleiden instrumenttien taajuussijainti sekä HRTF- ja HP6-käyrät
<p>Kaikkien kappaleiden instrumenttien taajuussijainti sekä HRTF- ja HP6-käyrät</p>
Välitila - LTAS, spektrin keskipiste (HRTF & HP6), instrumenttien taajuussijainti
<p>Välitila - LTAS, spektrin keskipiste (HRTF & HP6), instrumenttien taajuussijainti</p>
Välitila - LTAS, spektrin keskipiste (HRTF & HP6), instrumenttien taajuussijainti
<p>Välitila - LTAS, spektrin keskipiste (HRTF & HP6), instrumenttien taajuussijainti</p>
ScienceDex guides
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