Acta Acust.
Volume 6, 2022
Topical Issue - Auditory models: from binaural processing to multimodal cognition
Article Number 31
Number of page(s) 18
Published online 28 July 2022
  1. G. Keidser, H. Dillon, M. Flax, T. Ching, S. Brewer: The NAL-NL2 prescription procedure, Audiology Research 1, 1 (2011) 88–90. [CrossRef] [PubMed] [Google Scholar]
  2. B. Kollmeier, J. Kiessling: Functionality of hearing aids: State-of-the-art and future model-based solutions. International Journal of Audiology 57, sup3 (2018) S3–S28. [CrossRef] [Google Scholar]
  3. R. Plomp: Auditory handicap of hearing impairment and the limited benefit of hearing aids. The Journal of the Acoustical Society of America 63, 2 (1978) 533–549. [CrossRef] [PubMed] [Google Scholar]
  4. M. Vorländer: Auralization, Springer, Cham, 2020. [CrossRef] [Google Scholar]
  5. D. Schröder, M. Vorländer: RAVEN: A real-time framework for the auralization of interactive virtual environments, in Forum Acusticum, Aalborg, Denmark, January 2011, 1541–1546. [Google Scholar]
  6. O. Buttler, T. Wendt, S. van de Par, S.D. Ewert: Perceptually plausible room acoustics simulation including diffuse reflections. The Journal of the Acoustical Society of America 143, 3 (2018) 1829–1830. [CrossRef] [Google Scholar]
  7. G. Grimm, J. Luberadzka, V. Hohmann: A toolbox for rendering virtual acoustic environments in the context of audiology. Acta Acustica united with Acustica 105, 3 (2019) 566–578. [CrossRef] [Google Scholar]
  8. H. Kayser, T. Herzke, P. Maanen, C. Pavlovic, V. Hohmann: Open master hearing aid (openMHA) – an integrated platform for hearing aid research. The Journal of the Acoustical Society of America 146, 4 (2019) 2879–2879. [CrossRef] [Google Scholar]
  9. M.R. Schädler, D. Hülsmeier, A. Warzybok, B. Kollmeier: Individual aided speech-recognition performance and predictions of benefit for listeners with impaired hearing employing FADE. Trends in Hearing 24 (2020) 2331216520938929. [PubMed] [Google Scholar]
  10. M. Lavandier, S. Jelfs, J.F. Culling, A.J. Watkins, A.P. Raimond, S.J. Makin: Binaural prediction of speech intelligibility in reverberant rooms with multiple noise sources. The Journal of the Acoustical Society of America 131, 1 (2012) 218–231. [CrossRef] [PubMed] [Google Scholar]
  11. W.O. Olsen: Average speech levels and spectra in various speaking/listening conditions. American Journal of Audiology 7, 2 (1998) 21–25. [CrossRef] [PubMed] [Google Scholar]
  12. B. Kollmeier, A. Warzybok, S. Hochmuth, M.A. Zokoll, V. Uslar, T. Brand, K.C. Wagener: The multilingual matrix test: Principles, applications, and comparison across languages: A review. International Journal of Audiology 54, Sup2 (2015) 3–16. [CrossRef] [PubMed] [Google Scholar]
  13. M.R. Schädler, A. Warzybok, S.D. Ewert, B. Kollmeier: A simulation framework for auditory discrimination experiments: Revealing the importance of across-frequency processing in speech perception. The Journal of the Acoustical Society of America 139, 5 (2016) 2708–2722. [CrossRef] [PubMed] [Google Scholar]
  14. M.R. Schädler, A. Warzybok, B. Kollmeier: Objective prediction of hearing aid benefit across listener groups using machine learning: Speech recognition performance with binaural noise-reduction algorithms. Trends in Hearing 22 (2018) 2331216518768954. [PubMed] [Google Scholar]
  15. B. Kollmeier, M.R. Schädler, A. Warzybok, B.T. Meyer, T. Brand: Sentence recognition prediction for hearing-impaired listeners in stationary and fluctuation noise with FADE: Empowering the attenuation and distortion concept by Plomp with a quantitative processing model. Trends in Hearing 20 (2016) 2331216516655795. [CrossRef] [Google Scholar]
  16. N. Bisgaard, M.S. Vlaming, M. Dahlquist: Standard audiograms for the IEC 60118–15 measurement procedure. Trends in Amplification 14, 2 (2010) 113–120. [CrossRef] [PubMed] [Google Scholar]
  17. A.W. Bronkhorst: The cocktail party phenomenon: A review of research on speech intelligibility in multiple-talker conditions. Acta Acustica united with Acustica 86, 1 (2000) 117–128. [Google Scholar]
  18. J. Rennies, V. Best, E. Roverud, G. Kidd Jr: Energetic and informational components of speech-on-speech masking in binaural speech intelligibility and perceived listening effort. Trends in Hearing 23 (2019) 2331216519854597. [PubMed] [Google Scholar]
  19. J.A. Grange, J.F. Culling, B. Bardsley, L.I. Mackinney, S.E. Hughes, S.S. Backhouse: Turn an ear to hear: How hearing-impaired listeners can exploit head orientation to enhance their speech intelligibility in noisy social settings. Trends in Hearing 22 (2018) 2331216518802701. [CrossRef] [Google Scholar]
  20. M.R. Schädler, P. Kranzusch, C. Hauth, A. Warzybok: Simulating spatial speech recognition performance with an automatic-speech-recognition-based model, in: Proceedings of DAGA, Deutsche Gesellschaft für Akustik. 2020, pp. 908–911. [Google Scholar]
  21. R. Beutelmann, T. Brand, B. Kollmeier: Revision, extension, and evaluation of a binaural speech intelligibility model. The Journal of the Acoustical Society of America 127, 4 (2010) 2479–2497. [CrossRef] [PubMed] [Google Scholar]
  22. T. Vicente, M. Lavandier, J.M. Buchholz: A binaural model implementing an internal noise to predict the effect of hearing impairment on speech intelligibility in non-stationary noises. The Journal of the Acoustical Society of America 148, 5 (2020) 3305–3317. [CrossRef] [PubMed] [Google Scholar]
  23. M.R. Schädler: m-r-s/fade-tascar-openmha: Release of version used for “interactive spatial speech recogition maps” [Data set]. Zenodo, 2021. [Google Scholar]
  24. T. Nuesse, B. Wiercinski, T. Brand, I. Holube: Measuring speech recognition with a matrix test using synthetic speech. Trends in Hearing 23 (2019) 2331216519862982. [CrossRef] [Google Scholar]
  25. G. Keidser, G. Naylor, D.S. Brungart, A. Caduff, J. Campos, S. Carlile, M.G. Carpenter, G. Grimm, V. Hohmann, I. Holube, S. Launer, T. Lunner, R. Mehra, F. Rapport, M. Slaney, K. Smeds: The quest for ecological validity in hearing science: What it is, why it matters, and how to advance it. Ear and Hearing 41, Suppl 1 (2020) 5S–19S. [CrossRef] [PubMed] [Google Scholar]
  26. P. Bottalico, I.I. Passione, S. Graetzer, E.J. Hunter: Evaluation of the starting point of the Lombard effect. Acta Acustica united with Acustica 103, 1 (2017) 169–172. [CrossRef] [PubMed] [Google Scholar]
  27. G. Grimm, J. Luberadzka, V. Hohmann: Virtual acoustic environments for comprehensive evaluation of model-based hearing devices. International Journal of Audiology 57, sup3 (2018) S112–S117. [CrossRef] [PubMed] [Google Scholar]
  28. J.A. Grange, J.F. Culling: The benefit of head orientation to speech intelligibility in noise. The Journal of the Acoustical Society of America 139, 2 (2016) 703–712. [CrossRef] [PubMed] [Google Scholar]
  29. H. Dillon: Hearing aids, Thieme Medical Publishers, 2012. [Google Scholar]
  30. R. Pelzer, M. Dinakaran, F. Brinkmann, S. Lepa, P. Grosche, S. Weinzierl: Head-related transfer function recommendation based on perceptual similarities and anthropometric features. The Journal of the Acoustical Society of America 148, 6 (2020) 3809–3817. [CrossRef] [PubMed] [Google Scholar]

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