TEXT-DEPENDENT SPEAKER RECOGNITION SYSTEM IN NOISY ENVIRONMENT USING MFCC

This paper is about text-dependent speaker recognition system in noisy environment.The goal of this paper is to recognize the speaker using noisy environment or to identify the speaker using noised speech signal. We have used low-pass filter to remove the background noise from noised speech signal.For extracting the feature we have used standard speech parameterization method such as MFCC. After completion of parameterization of speech, Vector quantization has been used in the learning and recognition purpose.Wehave achieved 94% of recognition rate for noisy environment.