Comparative Study of Male and Female Voices using MFCC and DTW Algorithm in Speaker Recognition
In today’s world there are a lot of applications in which voice and speaker recognition is required. Recognizing people by their voice is known as speaker recognition. 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 Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system.
Subscribe to the Daily Tech Insider Newsletter
Stay up to date on the latest in technology with Daily Tech Insider. We bring you news on industry-leading companies, products, and people, as well as highlighted articles, downloads, and top resources. You’ll receive primers on hot tech topics that will help you stay ahead of the game. Delivered Weekdays