IJAERS: Voice Based Biometric System Feature Extraction Using MFCC and LPC Technique
IJAERS: Voice Based Biometric System Feature Extraction Using MFCC and LPC Technique
Mr. Vijay K. Kale, Dr. Prapti D.Deshmukh, Mr.Hanumant R.Gite
Now a day, interest in using biometric
technologies for person authentication in security systems has grown
rapidly.Voice is one of the most promising and mature biometric
modalities for secured access control this paper gives an experimental
overview of techniques used for feature extraction in speaker
recognition. The research in speaker recognition have been evolved
starting from short time features reflecting spectral properties of
speech low-level or physical traits to the high level features
(behavioral traits) such as prosody, phonetic information,
conversational patterns etc. first give a brief overview of Speech
processing and voice biometric relation and then describe some feature
extraction technique. We have performed experiment for feature
extraction of MFCC, LPC techniques.
technologies for person authentication in security systems has grown
rapidly.Voice is one of the most promising and mature biometric
modalities for secured access control this paper gives an experimental
overview of techniques used for feature extraction in speaker
recognition. The research in speaker recognition have been evolved
starting from short time features reflecting spectral properties of
speech low-level or physical traits to the high level features
(behavioral traits) such as prosody, phonetic information,
conversational patterns etc. first give a brief overview of Speech
processing and voice biometric relation and then describe some feature
extraction technique. We have performed experiment for feature
extraction of MFCC, LPC techniques.
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