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Design and Performance Evaluation of Frequency Compression Algorithm for Marathi Hearing Aid Users

  • Prashant G. Patil
  • Arun K. Mittra
  • Vijay S. Chourasia
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

High frequency hearing loss for hearing aid user is hurdle for speech recognition in different background speaker–listener environment. In North Maharashtra region, patient suffered from moderate hearing loss at high frequency is unable to understand consonants and some vowels. In Marathi language, more confusing consonants are difficult to understand which will confuse HA user. Many Marathi words start with these confusing words. To design a hearing aid, we need to control and limit parameters like gain, compression time constants, processing attack time, compression ratios which clears that fast processing time will increase objectively speech intelligibility and slow processing time affect on sound quality. In this study, we designed MATLAB-based digital hearing aids according to the need of user. This digital hearing aid will fulfil all requirements of hearing aid users to limit the gain, frequency shaping of speech signal. In this method, speech signal is processed for different types of hearing impaired people which will make more audible for them. 1730 pre-processed Marathi sound recordings recorded in different background conditions are differing in parameters like compression ratio, compression speed and signal-to-noise ratio. Experimentation results show that all listeners are recognizing Marathi vowels and consonants very well in all background conditions.

Keywords

Hearing aid High frequency Hearing loss Marathi vowels Frequency compression 

Notes

Acknowledgements

This research work was carried out at the Priyadarshini Deaf Residential School, Shirpur Dist-Dhule (India). We have obtained all ethical approvals from an appropriate ethical committee of institutional review board. If any issue arises hereafter then we will be solely responsible. The scientific responsibility is assumed by the authors. The institute had given the researcher permission to use our data as part of their experimental study. Institute have no objection to publish the experimental data in conference or journal paper.

References

  1. 1.
    James M. Kates, Senior Member, IEEE, and Kathryn H. Arehart, “The Hearing-Aid Audio Quality Index (HAAQI)” IEEE/ACM Transactions on Audio, Speech & language Processing, Vol. 24, No. 2, February 2016. Google Scholar
  2. 2.
    Francisco J Fraga, Letica Pimenta C, S prates, Alan M Marotta, “Frequency lowering Algorithms for Hearing Impaired, A Text book of Speech technologies”, Book Chapter 18, pp. 361 –388.Google Scholar
  3. 3.
    Danielle Glista, Susan Scollie, Marlene Bagatto, “Evaluation of nonlinear frequency compression: Clinical outcomes”. International Journal of Audiology 2009; 48: pp 632644.Google Scholar
  4. 4.
    Harry Levitt, “A Historical Perspective on Digital Hearing Aids: How Digital Technology Has Changed Modern Hearing Aids”, Trends in Amplification Volume-11, Number 1, March 2007. pp 7–24.Google Scholar
  5. 5.
    Joshua M. Alexander, “Individual Variability in Recognition of Frequency-Lowered Speech”, Seminars in Hearing, Volume 34, No 2, Dec 2013.Google Scholar
  6. 6.
    Francis Kuk, “Considerations in Verifying Frequency Lowering”, Published on January 19, 2013. International Journal of Audiology 2013.Google Scholar
  7. 7.
    Ying-Yee Kong, Ala Mullangi, “On the development of a frequency-lowering system that enhances place-of-articulation perception”, Speech Communication 54 (2012) 147–160.Google Scholar
  8. 8.
    Pandurangarao N. Kulkarni, Prem C. Pandey, Dakshayani S. Jangamashetti “Multi-band frequency compression for improving speech perception by listeners with moderate sensorineural hearing loss” Speech Communication 54 (2012) 341–350 Elsevier 29 September 2011.Google Scholar
  9. 9.
    Shilpi Banerjee, Starkey Hearing Research & Technology. “An overview of the characteristics and applications of compression amplification”. Process handbook Published in 2014.Google Scholar
  10. 10.
    Joshua M. Alexander, Frequency Lowering in Hearing Aids, March 29–31,2012 ISHA Convention.Google Scholar
  11. 11.
    Ruiyu Liang, Ji Xi, Jian Zhou, Cairong Zou, Li Zhao, An improved method to enhance high-frequency speech intelligibility in noise, Applied Acoustics 74 (2013) 71–78.Google Scholar
  12. 12.
    J. Fraga Francisco, C. S. Prates Leticia Pimenta, M. Marotta Alan, Martinelli Iorio Maria Cecilia, Frequency Lowering Algorithms for the Hearing Impaired, ISBN 978-953-307-996-7.Google Scholar
  13. 13.
    Veugen, Lidwien CE, Maartje ME Hendrikse, Marc M. van Wanrooij, Martijn JH Agterberg, Josef Chalupper, Lucas HM Mens, Ad FM Snik, and A. John van Opstal, “Horizontal sound localization in cochlear implant users with a contralateral hearing aid”, Hearing research, Vol. 336, pp. 72–82, 2016.Google Scholar
  14. 14.
    Finke, Mareike, Andreas Büchner, Esther Ruigendijk, Martin Meyer, and Pascale Sandmann “On the relationship between auditory cognition and speech intelligibility in cochlear implant users: an ERP study”, Journal on Neuropsychologia, Vol. 87, pp. 169–181, 2016.Google Scholar
  15. 15.
    Liang, Ruiyu, Ji Xi, Jian Zhou, Cairong Zou, and Li Zhao, “An improved method to enhance high-frequency speech intelligibility in noise,” Journal on Applied Acoustics, Vol. 74, No. 1, pp. 71–78, 2013.Google Scholar
  16. 16.
    Sang, Jinqiu, Hongmei Hu, Chengshi Zheng, Guoping Li, Mark E. Lutman, and Stefan Bleeck, “Speech quality evaluation of a sparse coding shrinkage noise reduction algorithm with normal hearing and hearing impaired listeners”, Hearing research, Vol. 327, pp. 175–185, 2015.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Prashant G. Patil
    • 1
  • Arun K. Mittra
    • 1
  • Vijay S. Chourasia
    • 1
  1. 1.Department of Electronics EngineeringManoharbhai Patel Institute of Engineering & TechnologyGondiaIndia

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