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DHT-LMS Algorithm for Sensorineural Loss Patients
Hearing impairment is the number one chronic disability affecting many people in the world. Background noise is particularly damaging to speech intelligibility for people with hearing loss especially for sensorineural loss patients. Several investigations on speech intelligibility have demonstrated sensorineural loss patients need 5-15 dB higher SNR than the normal hearing subjects. This paper describes Discrete Hartley Transform Power Normalized Least Mean Square algorithm (DHT-LMS) to improve the SNR and to reduce the convergence rate of the Least Means Square (LMS) for sensorineural loss patients. The DHT transforms n real numbers to n real numbers, and has the convenient property of being its own inverse. It can be effectively used for noise cancellation with less convergence time. The simulated result shows the superior characteristics by improving the SNR at least 9 dB for input SNR with zero dB and faster convergence rate (eigenvalue ratio 12) compare to time domain method and DFT-LMS.
Digital Object Identifier (DOI):


[1] Shaul Florian and Neil J Bershad. " A Weighted Normalized Frequency Domain LMS Adaptive Algorithm". IEEE Transactions on Acoustics speech and signal processing., Vol. 36, no. 7, July 1998
[2] Francosie Beaufays. " Trasnform domain adaptive filters: An analytical approach". IEEE Transactions on Signal processing, vol. 43, no. 2, Feb 1995
[3] Mohammed A Shamma. " Improving the speed and performance of adaptive equalizers via transform based adaptive filtering ". 2591 Ashurst Rd. University Heights, Ohio, 44118, USA.
[4] Adaptive filter theory. By Simon Haykin.
[5] V.Udayashankara, A.P.Shivaprasad., " Digital Hearing Aid: A Review". World congress on Medical physics & Biomedical Engineering. Brejil, Aug. 1994. Pp. 21-26.
[6] V.Udayashankara , A.P.Shivaprasad. " The application of voltera LMS Adaptive filtering to speech enhancement for the Hearing Impairment ". 4th Euro-speech conference on speech communication and Technology, Mandrid, Spain. Sept.1995. pp. 18-21.
[7] Moore. B.C., Stainsby. T.H., Alcantara. J.I., Kuhnel. V., "The effect of speech intelligibility of varying compression time constants in a digital hearing aid". International Journal on Audio logy. 2004 Jul-Aug: 43(7), pp. 399-409.
[8] Chung.K., "Challenges and recent developments in Hearing Aids"., Trends Amplif.2004:8(3). Pp. 83-124.
[9] Shanks. J.E., Wilson. R.H.Larson, Williams. D., " Speech recognition performance of patients with sensorineural hearing loss under unaided and aided conditions using linear and compression hearing aids". Ear hear. 2002 Aug: 23(4), pp. 280-90.
[10] Baer.T., Moore.B.C., Kulk.K., " Effects of low pass filtering on the intelligibility of speech in noise for people with and without dead regions at high frequencies". Journal on Acoustic soc Am. 2002 Sept: 112(3 pt 1)., pp. 1133-44.
[11] Hornsby.B.W. Ricketts.T.A., "The effects of compression ratio, signalto- noise ratio and level on speech recognition in normal-hearing listners". Journal on Acoustics soc Am. 2001 June: 109(6). pp. 2964- 73.
[12] Shields.P.W., Campbell.B.R., " Improvements in intelligibility of noisy reverberant speech using a binaural sub band adaptive noise-cancellation processing scheme". Journal on Acoustics Soc Am. 2001Dec: 110(6). Pp. 3232-42.
[13] Wouters.J., Litiere.L., Van Wieringen.A., " Speech intelligibility in noisy environment with one and two microphone hearing aids". Audiology. 1999 Mar-Apr: 38(2). Pp 91-8.
[14] Rankovic.C.M., " Factors governing speech reception benefits of adaptive linear filtering for listeners with sensorineural loss". Jpurnal on Acoustics Soc Am. 1998 Feb: 103(2). Pp. 1043-57.
[15] Baer. T., Moore.B.C., Gatechouse. S., "Spectral contrast enhancement of speech in noise for listeners with sensorineural hearing impairment: effects on intelligibility, quality, and response times". Journal on Rehabilitation Res Dev. 1993:30(1). Pp.. 49-72.
[16] Dr. Harry Levitt, " Noise reduction in Hearing aids: An overview ". Journal of Rehabilitation Research and Development, Vol.38. No.1, Jan- 2001.
[17] Sunitha S.L and Dr.V Udayashankara, " DFT-LMS Speech Enhancement Technique for Sensorinueural loss Patients". Journal of Bioinformatics India, Vol 3. Jan-March 2005.
[18] Simon Haykin, Adaptive Filter Theory", Pearson Education Asia, 4th Edition, 2002.
[19] Bernard Widrow and Samuel D.Stearns. " Adaptive Signal Processing", Pearson Education Asia, 2002.
[20] Sunitha S.L and Dr.V. Udayashankara. " DWT-LMS Speech Enhancement Technique for Performance Enhancement of Digital Hearing Aid", ICSCI, Jan 2005. (Best paper of the session has been taken for this paper)
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