Issue |
Acta Acust.
Volume 5, 2021
Topical Issue - Auditory models: from binaural processing to multimodal cognition
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Article Number | 51 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/aacus/2021043 | |
Published online | 10 December 2021 |
- S. Hoth, I. Baljić: Current audiological diagnostics. GMS Current Topics in Otorhinolaryngology, Head and Neck Surgery 16 (2017) Doc09. [PubMed] [Google Scholar]
- R. Meddis: Auditory-nerve first-spike latency and auditory absolute threshold: A computer model. The Journal of the Acoustical Society of America 119, 1 (2006) 406–417. [CrossRef] [PubMed] [Google Scholar]
- I.C. Bruce, Y. Erfani, M.S.A. Zilany: A phenomenological model of the synapse between the inner hair cell and auditory nerve: Implications of limited neurotransmitter release sites. Hearing Research 360 (2018) 40–54. [CrossRef] [PubMed] [Google Scholar]
- S. Verhulst, A. Altoè, V. Vasilkov: Computational modeling of the human auditory periphery: Auditory-nerve responses, evoked potentials and hearing loss. Hearing Research 360 (2018) 55–75. [CrossRef] [PubMed] [Google Scholar]
- S. Zenker, J. Rubin, G. Clermont: From inverse problems in mathematical physiology to quantitative differential diagnoses. PLoS Computational Biology 3, 11 (2007) e204. [CrossRef] [PubMed] [Google Scholar]
- M.R. Panda, W. Lecluyse, C.M. Tan, T. Jürgens, R. Meddis: Hearing dummies: Individualized computer models of hearing impairment. International Journal of Audiology 53, 10 (2014) 699–709. [CrossRef] [PubMed] [Google Scholar]
- X.D. Song, B.M. Wallace, J.R. Gardner, N.M. Ledbetter, K.Q. Weinberger, D.L. Barbour: Fast, continuous audiogram estimation using machine learning. Ear and Hearing 36, 6 (2015) e326. [CrossRef] [PubMed] [Google Scholar]
- Y. Shen, A.J. Kern: An Analysis of Individual Differences in Recognizing Monosyllabic Words Under the Speech Intelligibility Index Framework. Trends in Hearing 22 (2018) 2331216518761773. [CrossRef] [Google Scholar]
- H. Dai, C. Micheyl: Psychometric functions for pure-tone frequency discrimination. The Journal of the Acoustical Society of America 130, 1 (2011) 263–272. [CrossRef] [PubMed] [Google Scholar]
- D.M. Green: A maximum-likelihood method for estimating thresholds in a yes–no task. The Journal of the Acoustical Society of America 93, 4 (1993) 2096–2105. [CrossRef] [PubMed] [Google Scholar]
- M. Dietz, J. Encke, K. Bracklo, S.D. Ewert: Prediction of tone detection thresholds in interaurally delayed noise based on interaural phase difference fluctuations. arXiv preprint: arXiv:2107.00320 (2021). [Google Scholar]
- S.D. Ewert: AFC – A modular framework for running psychoacoustic experiments and computational perception models, in Proceedings of the International Conference on Acoustics AIA-DAGA, 2013. [Google Scholar]
- M. Dietz, J.H. Lestang, P. Majdak, R.M. Stern, T. Marquardt, S.D. Ewert, W.M. Hartmann, D.F.M. Goodman: A framework for testing and comparing binaural models. Hearing Research 360 (2018) 92–106. [CrossRef] [PubMed] [Google Scholar]
- P.L. Søndergaard, P. Majdak: The auditory modeling toolbox, in The technology of binaural listening. Springer, Berlin, Heidelberg. 2013, pp. 33–56. [CrossRef] [Google Scholar]
- S. Herrmann, M. Dietz: Matlab Code for Model-based selection of most informative diagnostic tests and test parameters [Online]. Avaible at: https://doi.org/10.5281/zenodo.5211870 [Accessed: Nov 24 2021] [Google Scholar]
- M. Dietz, S.D. Ewert, V. Hohmann, B. Kollmeier: Coding of temporally fluctuating interaural timing disparities in a binaural processing model based on phase differences. Brain Research 1220 (2008) 234–245. [CrossRef] [PubMed] [Google Scholar]
- M. Dietz, S.D. Ewert, Volker Hohmann: Auditory model based direction estimation of concurrent speakers from binaural signals. Speech Communication 53, 5 (2011) 592–605. [CrossRef] [Google Scholar]
- V. Hohmann: Frequency analysis and synthesis using a Gammatone filterbank. Acta Acustica United with Acustica 88, 3 (2002) 433–442. [Google Scholar]
- B.R. Glasberg, B.C.J. Moore: Auditory filter shapes in subjects with unilateral and bilateral cochlear impairments. The Journal of the Acoustical Society of America 79, 4 (1986) 1020–1033. [CrossRef] [PubMed] [Google Scholar]
- J. Breebaart, S. Van De Par, A. Kohlrausch: Binaural processing model based on contralateral inhibition. I. Model structure. The Journal of the Acoustical Society of America 110, 2 (2001) 1074–1088. [CrossRef] [PubMed] [Google Scholar]
- L.R. Bernstein, C. Trahiotis: The normalized correlation: Accounting for binaural detection across center frequency. The Journal of the Acoustical Society of America 100, 6 (1996) 3774–3784. [CrossRef] [PubMed] [Google Scholar]
- H. Levitt: Transformed up-down methods in psychoacoustics. The Journal of the Acoustical society of America 49, 2B (1971) 467–477. [CrossRef] [Google Scholar]
- L.R. Bernstein, C. Trahiotis: Binaural detection as a joint function of masker bandwidth, masker interaural correlation, and interaural time delay: Empirical data and modeling. The Journal of the Acoustical Society of America 148, 6 (2020) 3481–3488. [CrossRef] [PubMed] [Google Scholar]
- M.M. Taylor, C.D. Creelman: PEST: Efficient estimates on probability functions. The Journal of the Acoustical Society of America 41, 4A (1967) 782–787. [CrossRef] [Google Scholar]
- M.R. Leek: Adaptive procedures in psychophysical research. Perception & Psychophysics 63, 8 (2001) 1279–1292. [CrossRef] [PubMed] [Google Scholar]
- E.A. Lopez-Poveda, R. Meddis: A human nonlinear cochlear filterbank. The Journal of the Acoustical Society of America 110, 6 (2001) 3107–3118. [CrossRef] [PubMed] [Google Scholar]
- B. Sackmann, E. Dalhoff, M. Lauxmann: Model-based hearing diagnostics based on wideband tympanometry measurements utilizing fuzzy arithmetic. Hearing Research 378 (2019) 126–138. [CrossRef] [PubMed] [Google Scholar]
- M. Dietz, L. Wang, D. Greenberg, D. McAlpine: Sensitivity to interaural time differences conveyed in the stimulus envelope: Estimating inputs of binaural neurons through the temporal analysis of spike trains. Journal of the Association for Research in Otolaryngology 17, 4 (2016) 313–330. [CrossRef] [PubMed] [Google Scholar]
- 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]
- R. Sanchez Lopez, F. Bianchi, M. Fereczkowski, S. Santurette, T. Dau: Data-driven approach for auditory profiling and characterization of individual hearing loss. Trends in Hearing 22 (2018) 2331216518807400. [CrossRef] [Google Scholar]
- H.F. Schuknecht, K. Watanuki, T. Takahashi, A.A. Belal Jr, R.S. Kimura, D.D. Jones, C.Y. Ota: Atrophy of the stria vascularis, a common cause for hearing loss. The Laryngoscope 84, 10 (1974) 1777–1821. [CrossRef] [PubMed] [Google Scholar]
- H.F. Schuknecht, M.R. Gacek: Cochlear pathology in presbycusis. Annals of Otology, Rhinology & Laryngology 102, 1_suppl (1993) 1–16. [CrossRef] [Google Scholar]
- J.R. Dubno, M.A. Eckert, F.-S. Lee, L.J. Matthews, R.A. Schmied: Classifying human audiometric phenotypes of age-related hearing loss from animal models. Journal of the Association for Research in Otolaryngology 14, 5 (2013) 687–701. [CrossRef] [PubMed] [Google Scholar]
- R. Sanchez-Lopez, M. Fereczkowski, T. Neher, S. Santurette, T. Dau: Robust data-driven auditory profiling towards precision audiology. Trends in Hearing 24 (2020) 2331216520973539. [CrossRef] [Google Scholar]
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