Author : Padmaja Kuruba 1
Date of Publication :31st December 2017
Abstract: Worldwide more than 10% of the people are suffering from Hearing impairment. The statistical report shows more than 20 crores of people are subjected to various levels of hearing problems based on various reasons depending on the surrounding environment. Hearing impairment is seen in all age groups from infants to adults. In this paper, we propose a digital hearing system which mimics the biological ear. The system is designed to produce required sound based on the patient impairment level, using digital signal processing techniques. This involves noise reduction, the frequency selected filtering & amplification and compression such that bouncing of the frequencies is avoided. The proposed work is simulated using MATLAB where the following parameters are tested namely 1) reduction of white Gaussian Noise 2) increase in the gain of specific frequencies 3) dynamic shaping of the signal amplitude to reduce bouncing of the signal.
Reference :
-
- Frost and Sulliva, World Audiology Products Market, 1997.
- Othman O Khalifa, M H Makhtar and M S Baharom, “Hearing Aids System for Impaired Peoples”, International Journal of Computing & Information Sciences, Vol.2, No.1, April 2004, pp. 23-26.
- Shraddha D Sharma and Devendra Chaudhari, “Speech Processing for Sensorineural Hearing Impairment: A Review”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Vol.3, Issue 3, March 2013, pp. 710-712.
- Navdeep Kaur and Dr. Hardeep Singh Ryait, “Study of Digital Hearing Aid Using Frequency Shaping Function”, International Journal of Engineering Research and Technology (IJERT), Vol.2, Issue 5, May 2013, pp. 71-77
- Robert W Bauml and Wolfgang Sorgel, “Uniform Polyphase Filter Banks for Use in Hearing Aids”, 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland, August 25-29, 2008.
- Sami Mohammed Halawani, Abdul Rahman Al-Talhi and Abdul Waheed Khan, “Speech Enhancement Techniques for Hearing Impaired People: Digital Signal Processing based Approach”, Life Science Journal, Vol.10, No.4, 2013, pp.3467-3476
- Kamkar-Parsi and A H Bouchard, “Improved Noise Power Spectrum Density Estimation for Binaural Hearing Aids Operating in a Diffuse Noise Field Environment”, Audio, Speech and Language Processing, IEEE Transactions, Vol.17, Issue 4, 2009, pp. 521-533.
- James M Kates, “Digital Hearing Aids”, San Diego, CA, USA, Plural, 2008, ISBN13: 978-1-59756-317-8, pp. 224– 262.
- Tao Zhang, Fred Mustiere and Christophe Micheyl, “Intelligent Hearing Aids: The Next Revolution”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 72-76.
- P Rajesh, K Umamaheswari, P Vinodh Babu, and S Srinivasa Rao, “Application of Adaptive Filter in Digital Hearing Aids for Cancellation of Noise”, International Conference on Communications and Signal Processing (ICCSP), 2015, pp. 526-530.