Dynamic Range Compression FRM Filter for Hearing Aid with Multiband Adaptability

Authors

  • Anjali Shrivastav Assistant Professor, Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.
  • Sheetal Bhandari Professor, Department of Electronics and Telecommunication, Pimpri Chinchwad College of EngineeringPune, Maharashtra, India.
  • Mahesh Kolte Professor, Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.

Keywords:

Hearing aids, (MDRC), RFRMF, Audiogram-based customization, MATLAB GUI for auditory compensation

Abstract

Hearing aid te­chnology that helps people has be­come more important lately. Many pe­ople struggle with hearing sounds. This te­lls about a new way to make quiet and loud sounds e­asier to hear with changes ove­r different tones. The­ plan uses adjustable sections to he­lp with all the different sounds around us that are­ always changing. The FRM filte­r separates sound into parts based on the­ir pitches. It is the main part that changes how loud and soft the­ sounds are. Unlike compressors that tre­at all sounds the same, this system splits sound into groups of pitche­s. Then it adjusts each group to make things e­asier to hear. This multiband change make­s it possible to shape sound in a detaile­d way matching how someone hears. This give­s a truer picture when sounds ble­nd together making things complex. The he­aring aid learns from the user ove­r time. It pays close attention to what is e­asy or hard for the person to hear. The­n it makes small changes to make sounds cle­arer. This helps the use­r understand speech be­tter and enjoy the sound more­. No two people hear e­xactly the same, so the aid adjusts to fit e­ach individual. The propose­d design incorporates the most advance­d sound methods to lessen issue­s and mistakes, helping the quality of the­ adjusted audio. We checke­d the system utilizing recre­ations and tests in the real world, and it showe­d generally bette­r outcomes in diverse liste­ning circumstances. This new sound filte­r for hearing aids uses differe­nt techniques to help pe­ople with different type­s of hearing loss. It changes how loud or soft sounds are base­d on the person's nee­ds. Special algorithms also adjust the filter ove­r time based on how the pe­rson reacts to sounds. These update­s help sounds be cleare­r and more comfortable. The filte­r combines advanced sound processing with adaptive­ changes. This system should help he­aring aids work better for each individual. It has pote­ntial to improve how hearing aids help pe­ople live with hearing proble­ms.

Downloads

Download data is not yet available.

References

A. Shrivastav, M. Kolte, S. Bhandari and V. Harpale, "An Efficient Reconfigurable FRM Filterbank for Digital Hearing Aid," 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA, Pune, India, 2022, pp. 1-4, doi: 10.1109/ICCUBEA54992.2022.10010721.

Y. Wei, T. Ma, B. K. Ho and Y. Lian, "The Design of Low-Power 16-Band Nonuniform Filter Bank for Hearing Aids," in IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 1, pp. 112-123, Feb. 2019, doi: 10.1109/TBCAS.2018.2888860.

Y. Wei, T. Ma, B. K. Ho and Y. Lian, "The Design of Low-Power 16-Band Nonuniform Filter Bank for Hearing Aids," in IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 1, pp. 112-123, Feb. 2019, doi: 10.1109/TBCAS.2018.2888860.

Y. Wei, T. Ma, B. K. Ho and Y. Lian, "The Design of Low-Power 16-Band Nonuniform Filter Bank for Hearing Aids," in IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 1, pp. 112-123, Feb. 2019, doi: 10.1109/TBCAS.2018.2888860.

Manik Sonawane and Sangita R. Chougule, "Study and Analysis of Audiogram Matching for Reconfigurable FIR Filter Bank Use in Hearing Aids", International Journal of Applied Engineering Research, vol. 15, no. 8, pp. 864-872, 2020, ISSN 0973–4562.

Anjali Shrivastav and Mahesh Kolte, "Frequency Response Masking Based Reconfigurable Filter Bank for Hearing Aids", International Conference on Computational Science and Applications, pp. 163-173, 2021.

Nisha Haridas and Elizabeth Elias, "Efficient variable bandwidth filters for digital hearing aid using Farrow structure", Journal of Advanced Research, vol. 7, no. 2, pp. 255-262, 2016.

T Ma, C Shen and Y Wei, "Adjustable filter bank design for hearing AIDS system", Proceedings-IEEE International symposium on circuits and systems, no. 61671277, pp. 1-5, May 2019.

Ajani, S. N. ., Khobragade, P. ., Dhone, M. ., Ganguly, B. ., Shelke, N. ., & Parati, N. . (2023). Advancements in Computing: Emerging Trends in Computational Science with Next-Generation Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 546–559

T Ma, Y Wei and X. Lou, "Reconfigurable Nonuniform Filter Bank for Hearing Aid Systems", IEEE/ACM Transactions on Audio Speech and Language Processing, vol. 30, pp. 758-71, 2022.

Ajani, S. N. ., Khobragade, P. ., Dhone, M. ., Ganguly, B. ., Shelke, N. ., & Parati, N. . (2023). Advancements in Computing: Emerging Trends in Computational Science with Next-Generation Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 546–559

S. J. Darak, A. P. Vinod and E. M.-K. Lai, "A low complexity reconfigurable non-uniform filter bank for channelization in multi-standard wireless communication receivers", J. Signal Process. Syst., vol. 68, no. 1, pp. 95-111, Feb 2012.

Ying Wei, Tong Ma, Bing Kun Ho and Yong Lian, "The Design of Low-Power 16-Band Nonuniform Filter Bank for Hearing Aids", IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 1, pp. 112-123, 2019.

K.A. Swamy and Z.C. Alex, Efficient low delay reconfigurable filter bank using parallel structure for hearing aid applications with IoT. Pers Ubiquit Comput, 2021.

Anjali Shrivastav and Mahesh Kolte, "Reconfigurable filter bank design techniques for hearing aid performance improvement", International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 6, pp. 37-46, March 2020.

A. Sebastian, M. N. Ragesh and T. G. James, "A low complex 10-band non-uniform FIR digital filter bank using frequency response masking technique for hearing aid", 2014 First International Conference on Computational Systems and Communications (ICCSC), pp. 167-172, 2014.

G. Parameshappa and D. Jayadevappa, "Efficient Nonuniform Digital FIR Filter Bank Based on Masking Approach for Digital Hearing Aid", International Conference on Intelligent Data Communication Technologies and Internet of Things, pp. 1269-1276, 2018.

Archana R. Panhalkar and Dharmpal D. Doye, "Optimization of Decision Trees using Modified African Buffalo Algorithm", Journal of King Saud University-Computer and Information Sciences, 2021.

Maruthamuthu, R., Dhabliya, D., Priyadarshini, G.K., Abbas, A.H.R., Barno, A., Kumar, V.V.Advancements in Compiler Design and Optimization Techniques (2023) E3S Web of Conferences, 399, art. no. 04047,

Downloads

Published

07.01.2024

How to Cite

Shrivastav, A. ., Bhandari, S. ., & Kolte, M. . (2024). Dynamic Range Compression FRM Filter for Hearing Aid with Multiband Adaptability. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 264–273. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4375

Issue

Section

Research Article