Implementation of Adaptive Speech Enhancement Algorithm for Cancellation of Noisy Magnetic Resonance Imaging Environment using FPGA

This paper describes the concept of Adaptive noise cancellation technique. Three types of adaptive speech enhancement algorithm are available. One is least mean square algorithm second is Normalize least mean square algorithm and third is Recursive least square algorithm. A desired signal corrupted by additive noise or interference can often be recovered by an adaptive noise canceller using least mean squares (LMS) algorithm. In MRI method acoustic noise is produce due to the communication between medical staff and patient also produces due to high magnetic (3-T) field and higher power. This acoustic noise interferes with diagnosis and imaging process. The advantages of the method are its adaptive capability, higher signal to noise ratio and low signal distortion. In this paper, the main aim is remove the noise in speech signal and improve the quality of speech signal especially for noisy magnetic resonance imaging environment