A New Design Approach for Speaker Recognition Using MFCC and VAD
Author(s) -
Geeta Nijhawan,
Mukesh Soni
Publication year - 2013
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2013.09.07
Subject(s) - mel frequency cepstrum , speech recognition , computer science , speaker recognition , pattern recognition (psychology) , artificial intelligence , feature extraction
This paper presents a new approach for designing a speaker recognition system based on mel frequency cepstral coefficients (MFCCs) and voice activity detector (VAD). VAD has been employed to suppress the background noise and distinguish between silence and voice activity. MFCCs were extracted from the detected voice sample and are compared with the database for recognition of the speaker. A new criteria for detection is proposed which gives very good performance in noisy environment
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