MFCC Analysis of Biometric Person Identification System in Multilingual Speech Environment
Journal Title: GRD Journal for Engineering - Year 2016, Vol 1, Issue 12
Abstract
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.
Authors and Affiliations
Tushar Kant Sahu, Vinay Jain
Keywords
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