Making use of auditory models for better mimicking of normal hearing processes with cochlear implants: first results with the SAM coding strategy

Authors

  • Tamás Harczos Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany Electronic Media Technology Lab, Faculty of Electrical Engineering and Information Technology, Ilmenau University of Technology, Ilmenau, Germany
  • Anja Chilian Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany Institute of Biomedical Engineering and Informatics, Faculty of Computer Science and Automation, Ilmenau University of Technology, Ilmenau, Germany
  • András Kátai Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany
  • Frank Klefenz Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany
  • Izet Baljić HELIOS Hospital Erfurt, Department of Otolaryngology, Erfurt, Germany
  • Peter Voigt Cochlear-Implant Rehabilitationszentrum Thüringen, Erfurt, Germany
  • Peter Husar Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany Institute of Biomedical Engineering and Informatics, Faculty of Computer Science and Automation, Ilmenau University of Technology, Ilmenau, Germany

Abstract

Stimulation based on auditory modeling, or SAM, is a new speech-processing strategy for cochlear implants that we developed recently at Fraunhofer IDMT. SAM incorporates active cochlear filtering along with the mechanoelectrical transduction of the inner hair cells, so that several psychoacoustic phenomena are accounted for inherently. SAM was tested with a group of five CI users: We investigated speech perception in quiet and in the presence of noise or reverberation, pitch discrimination abilities (for pure tones and sung vowels), and consonant discrimination. We also asked for subjective quality rating for speech and music snippets. Tests were repeated with the everyday strategy of the implantees and results were compared. This paper presents the test results in detail and compares outcomes with those of the previously published simulation studies. Results are encouraging, although more tests would be needed to increase statistical significance.

References

Chilian, A., Braun, E., and Harczos, T. (2012). “Acoustic simulation of cochlear im-plant hearing,” in Speech perception and auditory disorders. 3rd International Symposium on Auditory and Audiological Research. Nyborg, Denmark. Edited by T. Dau, M.L. Jepsen, T. Poulsen, and J. C.-Dalsgaard. ISBN: 978-87-990013-3-0. (The Danavox Jubilee Foundation, Copenhagen), pp. 425-432.

Hahlbrock, K.-H. (1953). “Über Sprachaudiometrie und neue Wörterteste,” Arch. Ohren Nasen Kehlkopfheilkd., 162, 394-431.

Harczos, T., Chilian, A., and Katai, A. (2012a). “Horizontal-plane localization with bilateral cochlear implants using the SAM strategy,” in Speech perception and auditory disorders. 3rd International Symposium on Auditory and Audiological Research. Nyborg, Denmark. Edited by T. Dau, M.L. Jepsen, T. Poulsen, and J. C.-Dalsgaard. ISBN: 978-87-990013-3-0. (The Danavox Jubilee Foundation, Copenhagen), pp. 339-345.

Harczos, T., Fredelake, S., Hohmann, V., and Kollmeier, B. (2012b). “Comparative evaluation of cochlear implant coding strategies via a model of the human audi-tory speech processing,” in Speech perception and auditory disorders. 3rd Inter-national Symposium on Auditory and Audiological Research. Nyborg, Den-mark. Edited by T. Dau, M.L. Jepsen, T. Poulsen, and J. C.-Dalsgaard. ISBN: 978-87-990013-3-0. (The Danavox Jubilee Foundation, Copenhagen), pp. 331-338.

Harczos, T., Chilian, A., and Husar, P. (2013). “Making use of auditory models for better mimicking of normal hearing processes with cochlear implants: the SAM coding strategy,” IEEE Trans. Biomed. Circuits Syst., 7, 414-425.

Irwin, C. (2006) “NIC v2 Software Interface Specification E11318RD (Technical Report),” Lane Cove NSW, Australia, Cochlear Ltd.

Levitt, H. (1971). “Transformed up-down methods in psychoacoustics,” J. Acoust. Soc. Am., 49, 467-477.

Steeneken, H.J.M., and Houtgast, T. (1980). “A physical method for measuring speech‐transmission quality,” J. Acoust. Soc. Am., 67, 318-326.

Swanson, B.A., and Mauch, H. (2006). “Nucleus Matlab Toolbox 4.20 software user manual,” Lane Cove NSW, Australia, Cochlear Ltd.

Wagener, K., Kühnel, V., and Kollmeier, B. (1999). “Entwicklung und Evaluation eines Satztests in deutscher Sprache I: Design des Oldenburger Satztests (De-velopment and evaluation of a sentence test in German language I: Design of the Oldenburg sentence test),” Z. Audiol., 38, 4-15.

Wilson, B.S., Lopez-Poveda, E.A., and Schatzer, R. (2010). “Use of auditory models in developing coding strategies for cochlear implants.” in Computational Models of the Auditory System. Edited by R. Meddis, R.R., Fay, E.A., Lopez-Poveda, and A.N. Popper (Springer Science+Business Media LLC, Boston, Massachusetts, USA), pp. 237-260.

Downloads

Published

2013-12-15

How to Cite

Harczos, T., Chilian, A., Kátai, A., Klefenz, F., Baljić, I., Voigt, P., & Husar, P. (2013). Making use of auditory models for better mimicking of normal hearing processes with cochlear implants: first results with the SAM coding strategy. Proceedings of the International Symposium on Auditory and Audiological Research, 4, 317–324. Retrieved from https://proceedings.isaar.eu/index.php/isaarproc/article/view/2013-35

Issue

Section

2013/6. New processing and fitting strategies in cochlear implants