The week's pick
Random Articles
Reseach Article
A Thorough Investigation on Speech Enhancement Techniques for Hearing Aids
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 99 - Number 13 |
| Year of Publication: 2014 |
| Authors: N. Shanmugapriya, E. Chandra |
10.5120/17432-7957
|
N. Shanmugapriya, E. Chandra . A Thorough Investigation on Speech Enhancement Techniques for Hearing Aids. International Journal of Computer Applications. 99, 13 ( August 2014), 9-12. DOI=10.5120/17432-7957
Abstract
In recent years, speech development has become an interesting area in the field of signal processing especially in the applications of hearing aids. In hearing aid applications, the speech enhancement technique has been employed mainly for dipping the additive background noise. During the speech enhancement process, high background noise occurs due to the rapture nature of the speech. In order to overcome this problem, various methods have been employed for increasing the speech quality of hearing aid application. This paper provides an outlook of the speech enhancement techniques in a detailed manner with various speech enhancement algorithms such as Wiener filtering, beamformer, generalized singular value decomposition, transformations, and spectral subtraction technique. These methods have been designed with the main aim of reducing background noise. This paper discussed the merits and demerits of all speech enhancement algorithms with their unique characteristic features. The performance of the algorithm has been evaluated with the help of parameter metrics such as PSEQ and SNR.
References
- Dillon . H 2001, Hearing Aids. New York: Thieme Medical.
- Kulkarni P. N, Pandey P. C, and Jangamashetti . D. S 2012, "Binaural dichotic presentation to reduce the effects of spectral masking in moderate bilateral sensorineural hearing loss," International Journal of Audiology, Vol. 51, No. 4, pp. 334–344.
- Yang . J, Luo. F, and Nehorai . A 2003, "Spectral contrast enhancement: Algorithms and comparisons," Speech Communication, Vol. 39, No. 1–2, pp. 33–46.
- Kulkarni P. N, Pandey P. C, and Jangamashetti . D. S 2012, "Multi-band frequency compression for improving speech perception by listeners with moderate sensorineural hearing loss," Speech Communication , Vol. 54, No. 3 pp. 341–350.
- Loizou . P. C 2006, "Speech processing in vocoder-centric cochlear implants," in A. R. Moller (ed. ), Cochlear and Brainstem Implants, Adv. Otorhinolaryngol. Vol. 64, Basel: Karger, pp. 109–143.
- Junfeng Li, Shuichi Sakamoto, Satoshi Hongo, Masato Akagi and Yoiti Suzuki 2009,"Two-Stage Binaural Speech Enhancement With Wiener Filter Based On Equalization-Cancellation Model", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , ,pp. 133 – 136 ,October 18-21.
- Santosh K. Waddi, Prem C. Pandey, and Nitya Tiwari 2013, "Speech Enhancement Using Spectral Subtraction and Cascaded-Median Based Noise Estimation for Hearing Impaired Listeners" National Conference on Communications (NCC), pp:1 – 5.
- Heinrich W. Lollmann and Peter Vary 2012, "Beamformer For Driving Binaural Speech Enhancement" International Workshop on Acoustic Signal Enhancement, pp-0-4 , 4-6.
- Tim Van den Bogaert , Jan Wouters, Simon Doclo, Marc Moonen 2007, "Binaural Cue Preservation for Hearing Aids using an Interaural Transfer Function Multichannel Wiener Filter", IEEE International Conference on Acoustics Speech and Signal Processing, Vol. 4 ,pp: 565 - 568.
- Ulrik Kjems and Jesper Jensen 2012, "Maximum Likelihood Based Noise Covariance Matrix Estimation For Multi-Microphone Speech Enhancement" European Signal Processing Conference (EUSIPCO 2012) Bucharest, Romania, pp:295-299,August 27 - 31.
- John Woodruff and DeLiang Wang 2011, "Directionality-Based Speech Enhancement For Hearing Aids" IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp: 297 – 300, 22-27.
- HeinrichW. L¨ollmann and Peter Vary 2009, "Low Delay Noise Reduction and Dereverberation for Hearing Aids" EURASIP Journal on Advances in Signal Processing Vol 2009, Article ID 437807, 9 pages.
- Klaus Reindl, Yuanhang Zheng, and Walter Kellermann 2010, "Speech Enhancement for Binaural Hearing Aids based on Blind Source Separation" 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), pp: 1 – 6.
- JEON Yu-yong, LEE Sang-min 2011, "A speech enhancement algorithm to reduce noise and compensate for partial masking effect" Journal of Central South University of Technology, Vol. 18,No. 4 pp. 1121?1127.
- Young Woo Lee, Sang Min Lee, Yoon Sang Ji, Jong Shill Lee 2007, Young Joon Chee, Sung Hwa Hong ,Sun I. Kim , In Young Kim, "An Efficient Speech Enhancement Algorithm for Digital Hearing Aids Based on Modified Spectral Subtraction and Companding", Journal IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Volume E90-A Issue 8,pp: 1628-1635.
- Simon Doclo, and Marc Moonen 2002, "GSVD-Based Optimal Filtering for Single and Multimicrophone Speech Enhancement" IEEE Transactions on Signal Processing, Vol. 50, No. 9, pp: 2230 - 2244
- Dr. (Smt). S. D. Apte , Shridhar 2009,"Speech Enhancement in Hearing Aids Using Conjugate Symmetry of DFT and SNR-Perception Models" International Journal of Recent Trends in Engineering, Vol. 2, No. 5, pp:346-351.
- Sunitha. S. L. , and V. Udayashankara 2007,"Fast Factored DCT-LMS Speech Enhancement for Performance Enhancement of Digital Hearing Aid" International Journal of Medical, Pharmaceutical Science and Engineering Vol. 1 No. 10, pp:568-572.
Index Terms
Keywords