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Published December 20, 2019 | Version v1
Video/Audio Open

First Order Ambisonics field recordings for use in virtual acoustic environments in the context of audiology

  • 1. Carl von Ossietzky Universität Oldenburg, Germany

Description

These sound files were recorded using a Core Sound TetraMic microphone and an Edirol R4 portable recording device. The files were converted to B-format in FurseMalham normalization and channel order, using the software tetrafile from Fons Adriaenssen [3].

Files:

birds_oldenburg.wav:

Birds, recorded on an early Sunday morning in spring in a backyard in the city of Oldenburg, Germany. The recording is high-pass filtered to remove remote traffic noise.


mensa.wav:

Babble noise, recorded during lunch time in the cafeteria of the science campus of University of Oldenburg, Germany. The file was edited to remove intelligible conversations.


remote_traffic.wav:

Remote traffic sounds, recorded on a weekday in a backyard in the city of Oldenburg, Germany.


traffic.wav:

Dense traffic sounds, recorded close to traffic lights at a busy street crossing in Oldenburg, Germany.

*.license:

License abbreviation and author information, for use in the acoustic simulation tool TASCAR [1].

 

References:

[1] Grimm, Giso; Luberadzka, Joanna; Hohmann, Volker. A Toolbox for Rendering Virtual Acoustic Environments in the Context of Audiology. Acta Acustica united with Acustica, Volume 105, Number 3, May/June 2019, pp. 566-578(13), doi:10.3813/AAA.919337

[2] Hendrikse, Maartje M. E., Llorach, Gerard, Hohmann, Volker, & Grimm, Giso. (2019). Virtual audiovisual everyday-life environments for hearing aid research. Zenodo. http://doi.org/10.5281/zenodo.1621950

[3] Adriaensen, Fons. (2007, March). A tetrahedral microphone processor for ambisonic recording. In Proc. of the 5th Int. Linux Audio Conference (LAC07), Berlin, Germany (pp. 64-69).

Notes

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projektnummer 352015383 – SFB 1330 B1

Files

birds_oldenburg.wav

Files (733.3 MB)

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md5:764437f7c457f331c5968118825687b1
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md5:e4a38b2ddb4d423498fe2f172e135781
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md5:e4a38b2ddb4d423498fe2f172e135781
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Additional details

Related works

Cites
Journal article: 10.3813/AAA.919337 (DOI)
References
10.5281/zenodo.1434115 (DOI)