MFCC Analysis of Biometric Person Identification System in Multilingual Speech Environment

In this paper we explain the multilingual speaker identification system. Speaker identification is conducted on 3 Indian languages (Hindi, Marathi and Rajasthani). We create a database of 25 person in each language. In our system we use 3 different sentences and each sentence in 3 language. We focus on the effect of language mismatch in the speaker identification performance of individual languages and all languages together. Mel Frequency Cepstrum Coefficient (MFCC) is used for feature extraction. The standard SVM-based speaker identification is used. Citation: Tushar Kant Sahu, Shri Shankracharya College of Engineering and Technology bhilai; Vinay Jain ,Shri Shankracharya College of Engineering and Technology bhilai. "MFCC Analysis of Biometric Person Identification System in Multilingual Speech Environment." Global Research and Development Journal For Engineering 112 2016: 114 - 117.