Design of a Text Independent Speaker Recognition System
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Date
2017
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Ieee
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Abstract
This paper presents the design of a text independent speaker recognition system based on Mel-Frequency Cepstrum Coefficients and Gaussian Mixture Models. HTK speech recognition toolkit is used in the design of speaker models. The system is aimed to use it as a biometric authentication system. The experiments were performed on speech data consist of 134 speakers from YOHO database for different training conditions. The increase of the proposed system performance is observed with the decrease of Equal Error Rate. Experiment results show that the system gives the best recognition performance for Gaussian mixture model with 64 mixtures.
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Keywords
Speaker Recognition, Voice Recognition, Gaussian Mixture Model, Biometrics, Htk
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Citation
Özaydın, Selma, "Design of a text ındependent speaker recognition system", 2017 International Conference On Electrical And Computing Technologies And Applications (ICECTA), pp.55-59, (2017).
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OpenCitations Citation Count
9
Source
International Conference on Electrical and Computing Technologies and Applications (ICECTA) -- NOV 21-23, 2017 -- Ras Al Khaimah, U ARAB EMIRATES
Volume
2018-January
Issue
Start Page
55
End Page
59
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Scopus : 11
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11
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4
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0.6924008
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