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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Hearing Aid Method by Equalizing Frequency Response of Phoneme Extracted from Human Voice

Author 1: Kohei Arai Author 2: Takuto Konishi
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 7 · Published 2017

DOI: https://doi.org/10.14569/IJACSA.2017.080713

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Abstract

Hearing aid method by equalizing frequency response of phoneme which is extracted from human voice is proposed. One of the problems of the existing hearing aid is poor customization of the frequency response compensation. Frequency response characteristics are different by the person who need hearing aid. The proposed hearing aid is based on frequency response equalization by phoneme by phoneme. Frequency characteristics of phoneme are to be equalized. This is the specific feature of the proposed hearing aid method. Through experiments, it is found that the proposed hearing aid by phoneme is superior to the conventional hearing aid.

Keywords

Hearing aid phoneme frequency response equalization filter hidden markov model (HMM)

How to Cite this Article

Arai, K., & Konishi, T. (2017). Hearing Aid Method by Equalizing Frequency Response of Phoneme Extracted from Human Voice. International Journal of Advanced Computer Science and Applications, 8(7). https://doi.org/10.14569/IJACSA.2017.080713

Arai, Kohei, and Takuto Konishi. "Hearing Aid Method by Equalizing Frequency Response of Phoneme Extracted from Human Voice." International Journal of Advanced Computer Science and Applications, vol. 8, no. 7, 2017, https://doi.org/10.14569/IJACSA.2017.080713.

@article{Arai2017,
  title     = {Hearing Aid Method by Equalizing Frequency Response of Phoneme Extracted from Human Voice},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {7},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Takuto Konishi},
  doi       = {10.14569/IJACSA.2017.080713},
  url       = {https://doi.org/10.14569/IJACSA.2017.080713}
}

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