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A Basilar Membrane Model Using Simulink for Hearing-Aid Systems

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Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

Our purpose is to apply a basilar membrane model (BMM) to hearing-aid systems to solve problems in existing hearing-aid systems. In this study, we construct the BMM using Simulink in hearing-aid systems. Also, we examine response characteristics of the BMM using Simulink. As a result, we show that the BMM using Simulink can emphasize characteristic frequencies, and the model probably has the effect of hearing compensation. These results suggest that the BMM using Simulink is useful for hearing-aid systems.

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Author information

Authors and Affiliations

  1. Graduate School of Science and Technology, Nihon University, 1-8-14, Kandasurugadai, Chiyoda-ku, Tokyo, 101-8308, Japan

    Tetsuya Tsukada

  2. College of Science and Technology, Nihon University, 7-24-1, Narashinodai, Funabashi-Shi, Chiba, 274-8501, Japan

    Yoshifumi Sekine

Authors
  1. Tetsuya Tsukada
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  2. Yoshifumi Sekine
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Tsukada, T., Sekine, Y. (2004). A Basilar Membrane Model Using Simulink for Hearing-Aid Systems. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_181

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_181

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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