International Journal on Emerging Technologies
Speech processing is emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding, etc. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. Feature extraction is the first step for speaker recognition. Many algorithms are suggested/developed by the researchers for feature extraction. In this paper, the Mel Frequency Cepstrum Co-efficient (MFCC) feature has been used for designing a text dependent speaker identification system.