Published October 30, 2024 | Version CC-BY-NC-ND 4.0
Journal article Open

Combined Effect of Noise Reduction, FBS-Based Spectral Splitting, and Dynamic Range Compression of Speech Signal on Source Localization in Binaural Hearing Aids

  • 1. Department of Electronics & Communication Engineering, Basaveshwar Engineering College, Bagalkote (Karnataka), India.

Contributors

Contact person:

  • 1. Department of Electronics & Communication Engineering, Basaveshwar Engineering College, Bagalkote (Karnataka), India.

Description

Abstract: Localizing sound sources in three spatial dimensions (azimuth, elevation, and distance) is critical for human hearing comfort. It relies on two binaural cues: interaural time difference (ITD) and interaural level difference (ILD). Cochlear or auditory nerve injury can result in sensorineural hearing loss (SNHL). Hearing aids enable people with sensorineural hearing loss to converse more effectively and hear better. However, there is an apprehension that the binaural hearing aids may degrade the localization cues, thus affecting the source localization. In response to this concern, the current study investigates how the binaural hearing aid algorithm affects source localization by adopting a cascaded structure of noise reduction technique (wiener filter) followed by filter bank summation (FBS) based spectral splitting and dynamic range compression for binaural dichotic presentation. Listening tests for seven different azimuth angles (-90⁰, -60⁰, -30⁰, 0⁰, 30⁰, 60⁰, and - 90⁰) were conducted on six listeners with normal hearing under different signal-to-noise ratio (SNR) conditions as well as on six subjects with mild bilateral sensorineural hearing impairment. Test stimuli included background glass-breaking sound and broadband noise for participants with normal hearing. In an experiment with hearing-impaired subjects, the glass-breaking sound served as one of the test stimuli. The result showed that these binaural hearing aid algorithms had no adverse effects on localization ability.

Files

K998913111024.pdf

Files (628.5 kB)

Name Size Download all
md5:621dbac70a18ce085e4888efc9c19d5f
628.5 kB Preview Download

Additional details

Identifiers

Dates

Accepted
2024-10-15
Manuscript received on 03 September 2024 | Revised Manuscript received on 15 September 2024 | Manuscript Accepted on 15 October 2024 | Manuscript published on 30 October 2024.

References

  • M. Risoud, J.N. Hansona, F. Gauvrit, C. Renarda, P.E. Lemesre, N.X. Bonne and, C. Vincent, "Sound source localization", European Annals of Otorhinolaryngology, Head and Neck diseases (ELSEVIER), Vol.135, Issue 4, pp.259-264, 2018. https://doi.org/10.1016/j.anorl.2018.04.009.
  • M. Raspaud, H. Viste, and G. Evangelista, "Binaural Source Localization by Joint Estimation of ILD and ITD," IEEE Transactions on Audio, Speech, and Language Processing, Vol.18, No.1, pp.68-77, 2010. https://doi:10.1109/TASL.2009.2023644
  • D. Li, and S. E. Levinson, "A bayes-rule based hierarchical system for binaural sound source localization," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol.5, pp.521-524, 2003. https://doi.org/10.1109/ICASSP.2003.1200021
  • Rajani S. Pujar, "Combined Effect of Adaptive Wiener Filter and Spectral Splitting of Speech Signal in Improving Speech Intelligibility for Hearing Impaired People," International Journal of Future Computer and Communication, pp.61-66, Vol. 11, No. 3, 2022. https://doi:10.18178/ijfcc.2022.11.3.589
  • Kim Ngo, Simon Doclo, Ann Spriet, Marc Moonen, Jan Wouters, and Soren Holdt Jensen, "An integrated approach for noise reduction and dynamic range compression in hearing aids," 16th European Signal Processing Conference, 2008, Lausanne, Switzerland.
  • J.A. Wasmann, A.M. Janssen, and M.J.H. Agterberg, "A mobile sound localization setup," MethodsX (ELSEVIER), Vol.7, Article 101131, 2020. https://doi.org/10.1016/j.mex.2020.101131.
  • Yunfang Zheng, Jacob Swanson, Janet Koehnke, and Jianwei Guan, "Sound Localization of Listeners with Normal Hearing, Impaired Hearing, Hearing Aids, Bone-Anchored Hearing Instruments, and Cochlear Implants: A Review," American Journal of Audiology, Vol. 31, pp. 819-834, 2022. https://doi.org/10.1044/2022_AJA-22-00006
  • Geetha Chinnaraj, Kishore Tanniru, and Raja Rajan Raveendran, "Speech perception in noise and localization performance of digital noise reduction algorithm in hearing aids with an ear to ear synchronization," Journal of The All India Institute of Speech and Hearing, pp.23-30, Vol.40, Issue 1, 2022. https://doi:10.4103/jose.JOSE_4_21.
  • Nitya Tiwari, "Dynamic range compression and noise suppression for use in hearing aids," Ph.D. Thesis, Department of Electrical Engineering, Indian Institute of Technology Bombay, India, 2019.
  • Rajani S. Pujar, and P. N. Kulkarni, "Wiener Filter Based Noise Reduction Algorithm with Perceptual Post Filtering for Hearing Aids," International Journal of Image, Graphics and Signal Processing (IJIGSP), pp.69-81, Vol.11, No. 7, 2019. https://doi:10.5815/ijigsp.2019.07.06
  • P. N. Kulkarni, P. C. Pandey, and D. S. Jangamashetti, "Binaural dichotic presentation to reduce the effects of spectral masking in moderate bilateral sensorineural hearing loss," International Journal Audiology, Vol.51, No.4, pp.334-344, 2012. https://doi:10.3109/14992027.2011.642012
  • Ivo Merks, Gerald Enzner, and Tao Zhang, "Sound source localization with binaural hearing aids using adaptive blind channel identification," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pp.438-442, 2013. https://doi.org/10.1109/ICASSP.2013.6637685
  • Zheng, Y., Koehnke, J., and Besing, J, "Combined effects of noise and reverberation on sound localization for listeners with normal hearing and bilateral cochlear implants," American Journal of Audiology, 26(4), pp.519-530, 2017. https://doi:10.1044/2017_AJA-16-0101.
  • "CIPIC database", http://interface.cipic.ucdavis.edu.
  • V. R. Algazi, R. O. Duda, D. M. Thompson, and C. Avendano, "Then CIPIC HRTF database," Proceedings of IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics, pp.99-102, 2001, New Platz, NY.
  • J T, A. R., Rao G, V., & K, S. (2019). Acoustic Source Localization a nd Navigation Robot. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 6, pp. 4466–4469). https://doi.org/10.35940/ijeat.f8986.088619
  • Shrivastav, A. A., & Kolte, Dr. M. T. (2020). Reconfigurable Filter Bank Design Techniques for Hearing Aid Performance Improvement. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 6, pp. 37–46). https://doi.org/10.35940/ijrte.f7127.038620
  • Shinde, H., Sapkal, A. M., & Phatak, A. (2019). Quality Evaluation of Speech Enhancement Algorithms for Normal and Hearing Loss Listeners. In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 12, pp. 7–12). https://doi.org/10.35940/ijitee.l2479.1081219
  • Chakraborty, A. (2024). Comparison of Signal to Noise Ratio of Colored and Gray Scale Image in Clustered Condition from the Contours of the Images with the Help of Different Image Filtering Method. In Indian Journal of Image Processing and Recognition (Vol. 4, Issue 3, pp. 10–14). https://doi.org/10.54105/ijipr.d1029.04030424