SFB 1330 Hearing Acoustics

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Published April 7, 2020 | Version v1
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Generating hearing aid microphone recordings including head movement in virtual acoustic environments resembling everyday life

Authors/Creators

  • 1. Department of Medical Physics and Acoustics and Cluster of Excellence 'Hearing4all', Universität Oldenburg, Germany

Description

This database describes how to generate hearing aid microphone recordings including head movement in virtual environments resembling everyday life. These recordings were used in the accompanying paper to evaluate the influence of head movement on hearing aid algorithm performance (Hendrikse et al., 2020). Also the processing with the hearing aid algorithms is described, so that the results from this study can be replicated. The hearing aid microphone recordings may be useful for studying the performance of directional algorithms of commercial hearing aids as well as for investigating the potential of (attention-) steered directional filters. The virtual environments and the head movement data that was recorded in them were published accompanying a previous paper (Hendrikse et al., 2019a, 2019b, 2019c). An example is provided that demonstrates the method without having to download those databases.

Notes

This is a preliminary version of the database, parts of the code and documentation are still under review. If problems should arise when using the database, contact maartje.hendrikse@uni-oldenburg.de. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 352015383 – SFB 1330 B1, and the European Regional Development Fund [ERDF-Project "Innovation network for integrated, binaural hearing system technology (VIBHear)"] and funds from the Federal State of Lower Saxony.

Files

HAmic_database.zip

Files (37.7 MB)

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md5:d03ae6c2b769d49289826120aa8f6f98
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md5:c7abd83ed4ce59d678838a4d70fcd066
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Additional details

Related works

Is documented by
Journal article: 10.1177/2331216520916682 (DOI)
References
Video/Audio: 10.5281/zenodo.1434115 (DOI)
Dataset: 10.5281/zenodo.1434090 (DOI)
Dataset: 10.5281/zenodo.3736487 (DOI)
Journal article: 10.1177/2331216519872362 (DOI)

References

  • Hendrikse, M. M. E., Grimm, G., & Hohmann, V. (2020). Evaluation of the influence of head movement on hearing aid algorithm performance using acoustic simulations. Submitted to Trends in Hearing.
  • Hendrikse, M. M. E., Llorach, G., Hohmann, V., & Grimm, G. (2019a). Movement and Gaze Behavior in Virtual Audiovisual Listening Environments Resembling Everyday Life. Trends in Hearing, 23, 1–29. https://doi.org/10.1177/2331216519872362
  • Hendrikse, M. M. E., Llorach, G., Hohmann, V., & Grimm, G. (2019b). Virtual audiovisual everyday-life environments for hearing aid research. https://doi.org/10.5281/zenodo.1434115
  • Hendrikse, M. M. E., Llorach, G., Hohmann, V., & Grimm, G. (2019c). Database of movement behavior and EEG in virtual audiovisual everyday-life environments for hearing aid research. https://doi.org/10.5281/ZENODO.1434090