Speaker Identification and Authentication System using Energy based Cepstral Data Technique
Article No.: 80, Pages 1 - 6
Abstract
This paper aims to design a speaker identification system using data optimization technique. Speaker identification is an important task for authentication and verification in a system. In this paper a technique of text-dependent speaker identification using energy optimized Mel Frequency Cepstral Coefficients (MFCC) features from the speech signal are derived. At the stage of classification, a distance measure technique is used. Energy of each frame in the training and test files are calculated. Energy frames with respect to the pitch of each speaker are retained and the rest are pruned from the original speech training files. In this way, frames that are only helpful in identifying the speaker is kept for distance measure. Results are evaluated using MFCC-13 and MFCC-39 coefficients. Euclidean distance metric is used to find the speaker from the existing training files.
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- Speaker Identification and Authentication System using Energy based Cepstral Data Technique
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Published In
March 2016
843 pages
ISBN:9781450339629
DOI:10.1145/2905055
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Association for Computing Machinery
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Published: 04 March 2016
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ICTCS '16
ICTCS '16: Second International Conference on Information and Communication Technology for Competitive Strategies
March 4 - 5, 2016
Udaipur, India
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Overall Acceptance Rate 97 of 270 submissions, 36%
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