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4 results for “acoustic impulse response”
Dataset of Spatial Room Impulse Responses in a Variable Acoustics Room for Six Degrees-of-Freedom Rendering and Analysis
<p>Room acoustics measurements are used in many areas of audio research, from physical acoustics modelling and speech enhancement to virtual reality applications. This paper documents the technical specifications and choices made in the measurement of a dataset of spatial room impulse responses (SRIRs) in a variable acoustics room. Two spherical microphone arrays are used: the mh Acoustics Eigenmike em32 and the Zylia ZM-1, capable of up to fourth- and third-order Ambisonic capture, respectively. The dataset consists of three source and seven receiver positions, repeated with five configurations of the room's acoustics with varying levels of reverberation. Possible applications of the dataset include six degrees-of-freedom (6DoF) analysis and rendering, SRIR interpolation methods, and spatial dereverberation techniques. </p> <p>Accompanying paper on details of the dataset measurement: https://arxiv.org/abs/2111.11882</p> <p>Changelog:</p> <p>V 1.0 - Initial version.<br> V 1.1 - SOFA files updated to latest Matlab API (1.1.3), 'SingleRoomDRIR' convention, with SourcePosition and ListenerPosition z data corrected. Changed ListenerPosition and SourcePosition x data so that it follows the convention of origin in bottom left corner (rather than the previous bottom right). Fixed the swapped x and y labels in 6dof_source_and_receiver_positions.pdf.</p>
METU SPARG Eigenmike em32 Acoustic Impulse Response Dataset v0.1.0
<p><strong>DESCRIPTION</strong></p> <p>This dataset includes acoustic impulse response (AIR) measurements made using an Eigenmike em32 and the room impulse response measurements carried out at the same position using an Alctron M6 measurement microphone. The measurements were made in classroom S05 at the METU Graduate School of Informatics on 23 January 2018. </p> <p><strong>LICENSE</strong></p> <p>The dataset is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).</p> <p><strong>MEASUREMENTS</strong></p> <p>The classroom in which the measurements were made has a high reverberation time (T60 ≈ 1.12 s) when empty. The room is approximately rectangular and has the dimensions 6.5 × 8.3 × 2.9 m. AIR measurements were made at 240 points on a rectilinear grid of 0.5 m horizontal and 0.3 m vertical resolution surrounding the array. The array was positioned at a height of 1.5 m. The measurement planes were positioned at the heights of 0.9, 1.2, 1.5, 1.8 and 2.1 m from the floor level. These positions cover the whole azimuth range and an elevation range of approximately ±50◦ above and below the horizontal plane.</p> <p>The sound source was a Genelec 6010A two-way loudspeaker whose acoustic axis pointed at the vertical axis of the array at all measurement positions. Logarithmic sine sweep method was used for the AIR measurements. </p> <p><strong>FILE FORMAT</strong></p> <p>The AIRs and RIRs are provided as 16-bit signed integer WAVE files. The sampling rate is 48 kHz.</p> <p><strong>NAMING CONVENTION</strong></p> <p>There are two folders: em32 and alctron. The former includes AIR measurements, and the latter includes the RIR measurements. Each of these folders include 244 subfolders where each subfolder is named as ABC, from 000 through to 664. See documentation.pdf for details.</p> <p>Note that the measurements right above and below the array are not ideal since the acoustic axis of the loudspeaker did not face the array. Therefore, these measurements are considered unfit and were not used in the publications given below.</p> <p><strong>HOW TO CITE</strong></p> <p>The dataset has the DOI number 10.5281/zenodo.2635758 and can be cited as:</p> <p><strong>Orhun Olgun, & Huseyin Hacihabiboglu. (2019). METU SPARG Eigenmike em32 Acoustic Impulse Response Dataset v0.1.0 (Version 0.1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2635758</strong></p> <p>The data presented here were used in one journal article and two conference papers as of the time of writing this document. Please also consider citing these papers if you find this dataset to be useful in your research:</p> <p>[1] Coteli, M. B., Olgun, O., and Hacihabiboglu, H. (2018). Multiple Sound Source Localization With Steered Response Power Density and Hierarchical Grid Refinement. IEEE/ACM Trans. Audio, Speech and Language Process., 26(11), 2215-2229.</p> <p>[2] Olgun, O. and Hacihabiboglu, H., (2018) "Localization of Multiple Sources in the Spherical Harmonic Domain with Hierarchical Grid Refinement and EB-MUSIC". In Proc. 2018 16th Int. Workshop on Acoust. Signal Enhancement (IWAENC-18) (pp. 101-105), Tokyo, Japan.</p> <p>[3] Coteli, M. B., and Hacihabiboglu, H., (2019), "Multiple Sound Source Localization with Rigid Spherical Microphone Arrays Via Residual Energy Test", Proc. 2019 IEEE Int. Conf. on Acoust., Speech and Signal Process., (ICASSP-19), Brighton, UK.</p>
ASN Database - v3.2 - Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments
<p>We present a large set of simulated room impulse responses for a multi-room apartment. The simulated apartment models a real vacation apartment for which a recorded set of audio data has already been made available in the context of the DCASE challenges. The impulse responses were rendered using a dense grid of sources and receivers by means of a hybrid auralization algorithm based on a low-order image-source method and deterministic cone tracing. The proposed data set can be used to generate a wide variety of acoustic scenes which, in turn, can benefit numerous data-demanding machine-learning algorithms.<br> <br> To obtain more information on the database, please visit <a href="https://github.com/Jearde/asn-database">the website</a>.<br> <strong>Please read the license file (available in the GitHub repository) before using the database.</strong></p>
Dataset of impulse responses from variable acoustics room Arni at Aalto Acoustic Labs
<p>A dataset of impulse responses collected in the variable acoustics laboratory Arni at Acoustics Lab of Aalto University, Espoo, Finland.</p> <p>IRs of 5342 configurations of sound absorption in Arni are included in the dataset. Each of them were measured using an omnidirectional sound source and 5 sound receivers. For each configuration, 5 IRs were captured. The total number of measurements in the dataset is 132 037.</p> <p>For more information and the reverberation time values estimated from the IRs, please see the paper "Calibrating the Sabine and Eyring formulas" by Karolina Prawda, Sebastian J. Schlecht, and Vesa Välimäki, in The Journal of the Acoustical Society of America</p> <p>The work leading to producing the dataset and related research was supported by the Nordic Sound and Music Computing Network---NordicSMC, NordForsk project number 86892.</p> <p> </p> <p><strong>How to read the files in the dataset:</strong></p> <p>The general style of file naming is:<br> IR_numClosed_NumberOfReflectivePanels_numComb_CombinationNumber_mic_ReceiverNumber_sweep_SweepNumber<br> for example, for 1 reflective panel, combination 87, IR obtained from 3rd out of 5 sweeps recorded by microphone number 2, the filename is:<br> IR_numClosed_1_numComb_87_mic_2_sweep_3.wav</p> <p>The dataset was divided into several files due to its total size. The files included in each .zip file are indicated in its name.</p> <p>If some of the sound files are missing, e.g. for a certain combination and microphone there are 4 IR recordings instead of 5, it means that the sweep was discarded in the pre-processing phase due to non-stationary noise.<br> Read more: Karolina Prawda, Sebastian J. Schlecht, and Vesa Välimäki, "Robust selection of clean swept-sine measurements in non-stationary noise", The Journal of the Acoustical Society of America 151, 2117-2126 (2022), doi: https://doi.org/10.1121/10.0009915</p> <p>The specific combinations with indication whether the panel was in a reflective (represented by figure 0) or an absorptive (represented by figure 1) state are listed in <strong>combinations_setup.csv</strong> file.<br> The first column contains the combination number (0--5341), the first row is the panel number (1--55).</p> <p><strong>Arni_panels_numbers.pdf</strong> contains a diagram showing the panel numbers and locations.</p> <p><strong>Arni_layout.jpg</strong> contains a drawing specifying the positions of source source, sound receivers, and other elements of the interior.</p> <p> </p>
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