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opencc-by-4.0Apr 2016View details →

Binaural room impulse responses of an apartment-like environment

Measured Binaural Room Impulse Responses (BRIR) of the ADREAM Laboratory, LAAS-CNRS, Toulouse, France. The measurements are described in detail in this publication: F. Winter, H. Wierstorf, A. Podlubne, T. Forgue, J. Manhès, M. Herrb, S. Spors, A. Raake, and P. Danès, "Database of binaural room impulse responses of an apartment-like environment," Proc. of 140th Aud. Eng. Soc. Conv., Paris, 2016 Abstract of the Publication: We present a database of measured binaural room impulse responses (BRIRs) captured in an apartment-like environment. The BRIRs were measured for four different sound source positions, each combined with four listener positions with a head-orientation varying in the range of +-78° with 2° resolution.  Additionally,  BRIRs for 20 listener positions along a trajectory connecting two of the four positions were measured, each with a fixed head-orientation. The data is provided in the Spatially Oriented Format for Acoustics (SOFA) and it is freely available under Creative Commons (CC-BY-4.0). It can be used to simulate complex acoustic scenes in order to study the process of auditory scene analysis for humans and machines.

opencc-by-sa-4.0Oct 2016View details →

Binaural room impulse responses recorded with KEMAR of a 19-channel linear loudspeaker array

BRIRs for 19 different loudspeakers placed in room Calypso at the Telefunken-building of TU Berlin were measured. The room is a studio listening room. The 19 loudspeakers constituted a linear loudspeaker array with a inter-loudspeaker distance of roughly 15cm. The measurement was done with the KEMAR (type 45BA) with the corresponding large ears (type KB0065 and KB0066) and Fostex PM0.4 loudspeakers. The dummy head was rotated from −90° to 90° in 1° steps. The measurement was repeated with the head wearing AKG K601 open headphones.

Binaural room impulse responses recorded with KEMAR in a mid-size lecture hall

The binaural room impulse responses (BRIRs) were measured at the mid-size lecture room Auditorium 3 at the Telefunken-building of TU Berlin. They were measured for six different loudspeaker positions. The head of the dummy head was rotated with a resolution of 1° ranging from -90° to 90°. The measurement equipment was the same as described in Wierstorf et al. [1] [1] Wierstorf, H., Geier, M., Raake, A., Spors, S. (2011) “A Free Database of Head-Related Impulse Response Measurements in the Horizontal Plane with Multiple Distances,” 130th AES Convention, eBrief 6

opencc-by-4.0Oct 2017View details →

Dataset for: Application of Machine Learning for the Spatial Analysis of Binaural Room Impulse Responses

This repository contains supplementary material for the paper titled `Application of Machine Learning for the Spatial Analysis of Binaural Room Impulse Responses' Available at: <a href="http://dx.doi.org/10.3390/app8010105">dx.doi.org/10.3390/app8010105</a> . These programs and audio files are distributed in the hopes that they will prove useful under the Creative Commons Attribution 4.0, with no warranty; or the implied warranty of merchantability or fitness for a particular problem. Please give appropriate credit for use of the material provided in this repository back to the author.  In order to use the MatLab code the Auditory Toolbox by Malcolm Slaney [1] and the Cochleagram function distributed by Bin Gao [2] are required. The python scrips require the following Python libraries to be installed: Numpy[3], SciPy[4] and Tensorflow [5]. The MatLab code was tested using MatLab R2017a on a Computer running windows 7. The python code was tested using Python 3.2.5, using an anaconda Python environment - in windows command line. -- The repository contains: Folders: 1.) neg90 - This folder contains the gaussian normalisation parameters stored as text files and the weights and biases for the trained neural network - these are all for the -90° rotation neural network. 2.) pos90 - This folder contains the gaussian normalisation parameters stored as text files and the weights and biases for the trained neural network - these are all for the +90° rotation neural network. 3.) testData - this folder contains pre-generated test data for the different binaural dummy head microphones, speaker, and signal type combinations. Python Scripts: 1.) AnalyseDoA.py - A python script that can be run to test the neural network using the pre-generated test data - running the script will allow the user to input the binaural dummy head, speaker, and signal type. The important variables generated by this script are DoA - the direction of arrival for each signal in the feature vector, and yDiff - the difference between the predicted DoA and the expected direction of arrival 2.) DirectionAnalysis.py - This python file contains a set of function that are used to define the neural network, and run it. The function called DoAPrediction takes the feature vector generated by the MatLab code as its input argument, these features will then be passed to the neural network, and the output of this function is the direction of arrival predicted by the neural network for each signal. The functions: DoAAnalysis_neg90 and DoAAnalysis_pos90 are called by the DoAPrediction function, these functions create the neural network using the NN function, import the weights and biases, and passes the feature matrix (provided as input) through the neural network - the output of these functions are the predicted direction of arrival. MatLab files: 1.) runAnalysis.m - This MatLab script analyses the dataset provided as part of this repository. Users can change the variables head ('KEMAR' or 'KU100'), signalType ('directSound' or 'reflection'), and speaker ('EquatorD5' or 'Genelec8030'). This script will produce the gaussian normalised feature vector and expected direction of arrival for all signals with the defined head, signal type, and speaker combination. These variables are then saved in .mat files so they can be imported by the python scripts. 2.) BinauralModelCochlea.m - This MatLab function analyses a given binaural signal and outputs the interaural cross-correlation, interaural level difference, interaural time difference, the cochlea output for the left and right channel and the centre frequencies of the gammatone filter band. The input variables are: IR - the signal to be analysed, N - the number of gammatone filters, freqLow - the lowest centre frequency of the gammatone filter bank (centre frequency of the first gammatone filter), and freqHigh - the highest centre frequency of the gammatone filter bank (the centre frequency of the Nth gammatone filter). This function requires Malcolm Slaney's Auditory Toolbox [1] and Bin Gao's Cochleagram function [2] in order to work. 3.) generateFeatureVector.m - This MatLab function generates a feature vector from an input binaural signal x, and a version of the signal captured after the binaural dummy head has been rotated by either +90° or -90° degree (variables xPos90 and xNeg90 respectively). If the sampling frequency (Fs) isn't 44100, the signals are resampled to be at 44100. This file also contains a function 'gaussianNormalisationTestData' which gaussian normalises the data using the mean and standard deviation calculated from the data used to train the neural networks - the mean and standard deviation values are stored in the folder GMParams in the pos90 and neg90 folders. 4.) generateTestData.m - This MatLab function analyses the included binaural dataset, it takes the input variables: head - the binaural dummy head used for the measurements either 'KEMAR' or 'KU100', speaker - the speaker used for the measurements either 'EquatorD5' or 'Genelec8030', and signalType - the type of signal being analysed either 'directSound' or 'reflection'. Text files: 1.) noLayers.txt - a text file containing the number of layers used when training the neural network - with the current version of the code the neural network contains only 1 layer. 2.) README.txt - Read me file containing information about the repository. Audio files: This repository contains 1152 binaural signals half of which are direct sounds segmented from a binaural room impulse responses and the other half are reflections segmented from binaural room impulse responses (detailed in the paper this material supports) the direct sounds are recorded at angles from 0° to 357.5° in steps of 2.5° and the reflections are recorded at angles of 1° to 358.5° in steps of 2.5°. In the paper only recordings relating to signals recorded with the Equator D5 are analysed. The combination of audio files include: 1.) 144 direct sound recordings captured with the KEMAR 45BC binaural dummy head microphone and the Equator D5 speaker 2.) 144 reflection recordings captured with the KEMAR 45BC binaural dummy head microphone and the Equator D5 speaker 3.) 144 direct sound recordings captured with the KU100 binaural dummy head microphone and the Equator D5 speaker 4.) 144 reflection recordings captured with the KU100 binaural dummy head microphone and the Equator D5 speaker 5.) 144 direct sound recordings captured with the KEMAR 45BC binaural dummy head microphone and the Genelec 8030 speaker 6.) 144 reflection recordings captured with the KEMAR 45BC binaural dummy head microphone and the Genelec 8030 speaker 7.) 144 direct sound recordings captured with the KU100 binaural dummy head microphone and the Genelec 8030 speaker 8.) 144 reflection recordings captured with the KU100 binaural dummy head microphone and the Genelec 8030 speaker The files are stored using the following file naming convention: head_Test3_speaker_signalType_000_0_Degrees.wav - where _000_0 defines the azimuth direction of arrival so for example for a direct sound measured with the KEMAR unit and the Genelec8030 at 5 degrees would be 'KEMAR_Test3_Genelec8030_directSound_005_0Degrees.wav' and for a reflection measured with the KU100 and the Equator D5 at 298.5 degrees would be 'KU100_Test3_EquatorD5_reflection_298_5Degrees.wav' -- Bibliography: [1] Slaney, M. (1998). Auditory Toolbox. Palo Alto, CA. [Online]. Available: https://engineering.purdue.edu/~malcolm/interval/1998-010/ [Accessed: Oct. 27, 2017] [2] Gao, B. (2014). Cochleagram and IS-NMF2D for Blind Source Separation. [Online] Available: http://uk.mathworks.com/matlabcentral/fileexchange/48622-cochleagram-and-is-nmf2d-for-blind-source-separation?focused=3855900&tab=function [Accessed: Oct. 27, 2017] [3] NumFocus. (n.d.). NumPy. [Online]. Available: http://www.numpy.org/ [Accessed: Oct. 27, 2017] [4] SciPy. (n.d.). SciPy. [Online]. Available: https://www.scipy.org/ [Accessed: Oct. 27, 2017] [5] Google. (n.d.). TensorFlow. [Online] Available: https://www.tensorflow.org/ [Accessed: Oct. 27, 2017] -- All code and audio produced by: Michael Lovedee-Turner, PhD candidate in Music Technology at the Audio Lab, Department of Electronic Engineering, University of York Contact: mjlt500@york.ac.uk

opencc-by-4.0Nov 2022View details →

BinauRec: A dataset to test the influence of the use of room impulse responses on binaural speech enhancement

BinauRec is a dataset for binaural speech enhancement. It is composed of real recordings, measured and simulated room impulse responses for the same audio scenes. Measurements are realized using behind-the-ears hearing aid shells, with and without a dummy head.

opencc-by-4.0Apr 2016View details →

Binaural room impulse responses of a 5.0 surround setup for different listening positions

Binaural Room Impulse Responses - KEMAR, room Calypso, TU Berlin, 5.0 Surround setup   This dataset contains binaural room impulse responses (BRIRs) measured at nine different listening positions for a 5.0 surround setup in the listening room Calypso in the Telefunken building of Technische Universität Berlin, Berlin, Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s at a frequency of 1 kHz. "doc.zip" contains additional information for the measurement, "*.sofa" are the actual BRIRs, one file for every listening position, where the position is indicated by the X*-Y*-values. In order to work with those files you need a SOFA API for your programming language. For example, the one for Matlab can be found here: https://github.com/sofacoustics/API_MO/releases/latest If you want to create a single SOFA file containing all listening positions, you can execute the "combine_positions.m" script in Matlab after installing and starting the SOFA API. The BRIRs were with a head-orientation varying in the range of +-90° with 1° resolution. Room shape and size, listener and sound source positions are shown in "setup_calypso_surround_genelec8030A.pdf". Directory "./photos" contains photographs of the measurement setup. Copyright 2016 Hagen Wierstorf Licensed under Creative Commons (CC-BY-4.0)

opencc-by-4.0Apr 2016View details →

Binaural room impulse responses of a 5.0 surround setup for different listening positions

This dataset contains binaural room impulse responses (BRIRs) measured at nine different listening positions for a 5.0 surround setup in the listening room Calypso in the Telefunken building of Technische Universität Berlin, Berlin, Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s at a frequency of 1 kHz. The measurment was done with Genelec 8030A loudspeakers and repeated for the central listening positon with the larger Genelec 8250A loudspeakers. "doc.zip" contains additional information for the measurement, "*.sofa" are the actual BRIRs, one file for every listening position, where the position is indicated by the X*-Y*-values. The file `KEMAR_Calypso_Surround.sofa` contains all listening positions in one file. In order to work with those files you need a SOFA API for your programming language. For example, the one for Matlab can be found here: https://github.com/sofacoustics/API_MO/releases/latest The BRIRs were with a head-orientation varying in the range of +-90° with 1° resolution. Room shape and size, listener and sound source positions are shown in `setup_calypso_surround_genelec8030A.pdf` and `setup_calypso_surround_genelec8250A.pdf`. Directory "./photos" contains photographs of the measurement setup. Copyright 2016 Hagen Wierstorf Licensed under Creative Commons (CC-BY-4.0)

Binaural room impulse responses: Same listener-source-setup at different positions in the room

To study the perception of room acoustics in dependency of the position in the room, measurements with KEMAR head-and-torso-simulator were conducted. The dummy head was placed at 5 different positions in a small conference room (10.3mx5.8mx3.1m, RT=0.65s). The source, a loudspeaker Genelec 1030A, was always positioned in the same relation to the listening position. BRIRs were measured with an azimuth-resolution of 5° from 0°-360°. This data allows a psychoacoustical comparison of the room acoustical properties at different positions in the room.

Binaural room impulse responses: Same listener-source-setup at different positions in the room

Binaural room impulse responses recorded with KEMAR in a small meeting room

The binaural room impulse responses (BRIRs) were measured in the small meeting room Spirit at the Telefunken-building of TU Berlin. They were measured for three different loudspeaker positions placed around a table. The head of the dummy head was rotated with a resolution of 1° ranging from -90° to 90°. The measurement equipment was the same as described in Wierstorf et al. [1] [1] Wierstorf, H., Geier, M., Raake, A., Spors, S. (2011) “A Free Database of Head-Related Impulse Response Measurements in the Horizontal Plane with Multiple Distances,” 130th AES Convention, eBrief 6

openmit-licenseMay 2023View details →

zenodo36/100

BRUDEX Database: Binaural Room Impulse Responses with Uniformly Distributed External Microphones

There is an emerging need for comparable data for multi-microphone processing, particularly in acoustic sensor networks. However, commonly available databases are often limited in the spatial diversity of the microphones or only allow for particular signal processing tasks. In this paper, we present a database of acoustic impulse responses and recordings for a binaural hearing aid setup, 36 spatially distributed microphones spanning a uniform grid of (5x5) m^2 and 12 source positions. This database can be used for a variety of signal processing tasks, such as (multi-microphone) noise reduction, source localization, and dereverberation, as the measurements were performed using the same setup for three different reverberation conditions (T_60≈{310, 510, 1300} ms). The usability of the database is demonstrated for a noise reduction task using a minimum variance distortionless response beamformer based on relative transfer functions, exploiting the availability of spatially distributed microphones. An example how to load a impulse responses corresponding to the 'low' reverberation condition for the speaker located at 60 deg using MATLAB:     dataStruct = loadRIR('low',60,1,<basePATH>);%<basePATH>: path where database is located on local machine For further MATLAB examples, please consider "wrapper_loadDataFromDB.m" in the "matlabScripts.zip" archive file. An example how to load a impulse responses corresponding to the 'low' reverberation condition for the speaker located at 60 deg using Python:     dataloader = wrapper.BRUDEXDataloader()# <basePATH> is implicitly set to that path, where the file "wrapper.py" is located on local machine     dataStruct = dataloader.load_rir(reverberation_condition='low', direction_of_arrival = 60, ha_av = 1,e_mic_run = None) For further Python examples, please consider "main.py" in the "pythonScripts.zip" archive file. Caution: We noticed some problems with the download of the databse when using the command line (e.g., via the zenodo_get, wget, or curl commands). These problems don't seem to appear when downloading the files with the "Download" buttons on the website instead. Caution 2: When processing microphone signals, which are recorded with microphones that are placed *behind* loudspeakers, one can expect direct-path problems. Caution 3: For the recordings of the noise signals, four loudspeakers were placed at about 170 cm from (and facing) the corners of the room. That is why the noise is approximately spatially diffuse only in the vicinity of the center of the room and rather spatially coherent in the corners of the room. Caution 4: Oppposed to Zenodos information, the database does not contain 3 TB of data but about 200 GB.   Reference: D. Fejgin, W. Middelberg, and S. Doclo, “BRUDEX database: Binaural room impulse responses with uniformly distributed external microphones,” in Proc. ITG Conference on Speech Communication, Aachen, Germany, Sep. 2023, pp. 1–5. @InProceedings{Fejgin2023,     author    = {D. {Fejgin} and W. {Middelberg} and S. {Doclo}},     booktitle = {Proc. ITG Conference on Speech Communication},     title     = {{BRUDEX} Database: Binaural Room Impulse Responses with Uniformly Distributed External Microphones},     pages     = {1-5},     month     = {Sep.},     year      = {2023},     address   = {Aachen, Germany} }

opencc-by-4.0Jan 2020View details →

Binaural room impulse responses for interactive listener translation in a seminar room

With the goal to study the perception of position dynamic binaural synthesis for walking listeners wearing headphones, a set of binaural room impulse responses (BRIRs) and omnidirectional RIRs was measured. The measurements were conducted with a Kemar 45BA dummy head in a seminar room (9.9m x 4.7m x 3.1, T60 = 1.0s). Two loudspeakers Genelec 1030A served as sound sources. The BRIRs were measured at 16 positions arranged along a line towards the frontal loudspeaker with distances ranging from 1m - 8.50m and a positional resolution of 50cm. The second source was placed at the side of the line. The BRIR were determined for a full 360° rotation in 4° steps for each of the measurement positions. In addition, omnidirectional RIRs were measured at the 16 listening positions. As a second test case, on a different day both loudspeakers were turned by 180° to be pointing away from the translation line. BRIRs were captured for the positions with the same angular resolution. The interior slightly differed from the first measurement. The changes are documented with photos of the room and the measurement setup.

opencc-by-nc-sa-4.0Aug 2016View details →

DRR-scaled Individual Binaural Room Impulse Responses

Dataset of recorded individual binaural room impulse responses (BRIRs). The BRIRs are scaled their Direct-to-Reverberant-Energy-Ratio (DRR). The DRR is changed by an amplification or damping of the reverberant part relative to the direct sound of a measured BRIR. The change of the BRIR is conducted 3 ms after the direct sound, avoiding effects on the head-related part. The DRRs are calculated for 70 steps with 46 damping steps at normalized amplitude from zero to one, 23 amplification steps at normalized amplitude from one to 1.3, and the original DRR.

opencc-by-nc-4.0Jul 2018View details →

Dataset of measured binaural room impulse responses for use in an position-dynamic auditory augmented reality application

The dataset includes measured binaural room impluse responses (BRIRs) using a head and torso simulator (KEMAR). The measurements are realized for six loudspeaker positions. Five loudspeakers are placed in a standardized five-channel surround setup with the left and right speaker at +/-30° from the center speaker. The left-surround and right-surround speaker are placed at +/-120°. The distance to the midpoint of this setup is 3.5 m. The sixth loudspeaker is placed 1.35 m from the midpoint and 150° to the right side of the setup.  Loudspeakers of type Geithain R906 are used. The BRIRs are measured at nine positions within the loudspeaker setup. For each position the artificial head is turned 360° in the horizontal plane with a step size of 5°. Next to the midpoint position of the setup, frontal, backward, and lateral positions are measured. The covered plane size is 4m x 4m. The figure 'scheme.png' gives an overview about the names and setup (included in the download of the dataset). A TV studio at the Technische Universität Ilmenau is used as room for the measurements. The figure 'studio.jpg' (included in the download of the dataset) shows the room in a prior configuration as a TV studio (the left wall as scenery setting is removed). The setup is build up in the left side of the room (gray floor area). The room has a total size of 19.5m x 11.5m x 5.5m. The reverberation time (RT60 from 80 Hz to 18 kHz) is approx. 0.7 s. The C50 and C80 are 15dB and 17dB. The BRIR dataset is used for the synthesis of new BRIRs at diffferent positions in the room using methods described and evaluated in [1] and [2]. Please feel free to use the measured BRIRs for your research and your project!  --- [1] Brandenburg, K., Cano, E., Klein, F., Köllmer, T., Lukashevich, H., Neidhardt, A., Sloma, U., and Werner, S., “Plausible Augmentation of Auditory Scenes Using Dynamic Binaural Synthesis for Personalized Auditory Realities”, to be published in Proc. of: Conference of the Audio Engineering Society (AES) Audio for Virtual and Augmented Reality, USA, 2018. [2] Werner, S., Neidhardt, A., Klein, F., and Brandenburg, K., “Comparison of Different Methods to Create an Interactive Augmented Auditory Reality Scenario Using Sparse Binaural Room Impulse Response Measurements”, in Proc. of DAGA 2018, Garching, Germany, 2018.