Influence of multi-microphone signal enhancement algorithms on auditory movement detection in acoustically complex situations

Forfattere

  • Micha Lundbeck Medizinische Physik and Cluster of Excellence Hearing4all, Oldenburg University, Oldenburg, Germany; HörTech gGmbH, Oldenburg, Germany
  • Laura Hartog Medizinische Physik and Cluster of Excellence Hearing4all, Oldenburg University, Oldenburg, Germany; HörTech gGmbH, Oldenburg, Germany
  • Giso Grimm Medizinische Physik and Cluster of Excellence Hearing4all, Oldenburg University, Oldenburg, Germany; HörTech gGmbH, Oldenburg, Germany
  • Volker Hohmann Medizinische Physik and Cluster of Excellence Hearing4all, Oldenburg University, Oldenburg, Germany; HörTech gGmbH, Oldenburg, Germany
  • Lars Bramsløw Eriksholm Research Centre, Snekkersten, Denmark
  • Tobias Neher Medizinische Physik and Cluster of Excellence Hearing4all, Oldenburg University, Oldenburg, Germany; Institute of Clinical Research, University of Southern Denmark, Odense, Denmark

Nøgleord:

Auditory movement perception, hearing loss, minimum audible movement angle, distance perception, hearing aids, signal processing

Resumé

The influence of hearing aid (HA) signal processing on the perception of spatially dynamic sounds has not been systematically investigated so far. Previously, we observed that interfering sounds impaired the detectability of left-right source movements and reverberation that of near-far source movements for elderly hearing-impaired (EHI) listeners (Lundbeck et al., 2017). Here, we explored potential ways of improving these deficits with HAs. To that end, we carried out acoustic analyses to examine the impact of two beamforming algorithms and a binaural coherence-based noise reduction scheme on the cues underlying movement perception. While binaural cues remained mostly unchanged, there were greater monaural spectral changes and increases in signal-to-noise ratio and direct-to-reverberant sound ratio as a result of the applied processing. Based on these findings, we conducted a listening test with 20 EHI listeners. That is, we performed aided measurements of movement detectability in two acoustic scenarios. For both movement dimensions, we found that the applied processing could partly restore source movement detection in the presence of reverberation and interfering sounds.

Referencer

Dillon, H. (2012). Hearing aids / Harvey Dillon (Boomerang Press; Thieme, Sydney, New York).

Grimm, G., Herzke, T., Berg, D., and Hohmann, V. (2006). “The master hearing aid: a PC-based platform for algorithm development and evaluation,” Acta Acust United Ac., 92, 618-628.

Grimm, G., Hohmann, V., and Kollmeier, B. (2009). “Increase and subjective evaluation of feedback stability in hearing aids by a binaural coherence-based noise reduction scheme,” IEEE T. Audio Speech, 17, 1408-1419.

Grimm, G., Luberadzka, J., Herzke, T., and Hohmann, V. (2015). “Toolbox for acoustic scene creation and rendering (TASCAR)-Render methods and research applications,” Proceedings of the Linux Audio Conference, Mainz.

Hansen, M. (2006). “Lehre und Ausbildung in Psychoakustik mit psylab: Freie Software fur psychoakustische Experimente,” Fortschritte der Akustik, 32, 591.

Kaernbach, C. (1990). “A single‐interval adjustment‐matrix (SIAM) procedure for unbiased adaptive testing,” J. Acoust. Soc. Am., 88, 2645-2655.

Lundbeck, M., Grimm, G., Hohmann, V., Laugesen, S., and Neher, T. (2017). “Sensitivity to angular and radial source movements as a function of acoustic complexity in normal and impaired hearing,” Trends Hear., 21, 2331216517717152.

Moore, B.C., and Tan, C.-T. (2004). “Development and validation of a method for predicting the perceived naturalness of sounds subjected to spectral distortion,” J. Audio Eng. Soc., 52, 900-914.

Rohdenburg, T., Hohmann, V., and Kollmeier, B. (2007). “Robustness analysis of binaural hearing aid beamformer algorithms by means of objective perceptual quality measures,” in Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on (IEEE), pp. 315-318.

Thiemann, J., and van de Par, S. (2015). “Multiple model high-spatial resolution HRTF measurements,” Proc. DAGA 2015.

Yderligere filer

Publiceret

2017-12-14

Citation/Eksport

Lundbeck, M., Hartog, L., Grimm, G., Hohmann, V., Bramsløw, L., & Neher, T. (2017). Influence of multi-microphone signal enhancement algorithms on auditory movement detection in acoustically complex situations. Proceedings of the International Symposium on Auditory and Audiological Research, 6, 397–404. Hentet fra https://proceedings.isaar.eu/index.php/isaarproc/article/view/2017-49

Nummer

Sektion

2017/6. Advances in hearing-instrument features and related effects