Speaker Recognition Model Based on Generalized Gamma Distribution Using Compound Transformed Dynamic Feature Vector
نویسندگان
چکیده
منابع مشابه
Speaker Recognition Model Based on Generalized Gamma Distribution Using Compound Transformed Dynamic Feature Vector
In this paper, we present an efficient speaker identification system based on generalized gamma distribution. This system comprises of three basic operations, namely speech features classification and metrics for evaluation. The features extracted using MFCC are passed to shifted delta cepstral coefficients (SDC) and then applied to linear predictive coefficients (LPC) to have effective recogni...
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Speaker recognition is one of the research potential areaswith applications in biometrics and content based retrievals, it helps to identify a speaker from the speech signal. To develop an effective speaker recognition system, it is needed to have a concrete methodology of feature extraction and a mechanism to model these features, most of the models available in the literature are more focused...
متن کاملText Dependent & Gender Independent Speaker Recognition Model based on Generalizations of Gamma Distribution
Speaker recognition is one of the research potential areaswith applications in biometrics and content based retrievals, it helps to identify a speaker from the speech signal. To develop an effective speaker recognition system, it is needed to have a concrete methodology of feature extraction and a mechanism to model these features, most of the models available in the 1 / 4
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ژورنال
عنوان ژورنال: International Journal of Embedded Systems and Applications
سال: 2012
ISSN: 1839-5171
DOI: 10.5121/ijesa.2012.2308