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 that sensorineural loss patients need 5-15 dB higher SNR than the normal hearing subjects. This paper describes a practical approach using adaptive complex transformation filtering for sensorineural impairment to improve the SNR of the speech signal. The computer simulated results show superior convergence characteristics of the adaptive complex transformation algorithm by improving the SNR at least 7dB for input SNR’s less than and equal to 1 dB, with 120 convergence ratio, better time and frequency characteristics.