مشاهده مشخصات مقاله
Speaker Identification in Noisy Environments Using Dynamic Bayesian Networks
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Authors |
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A. R. Khanteymoori
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M. M. Homayounpour
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M. B. Menhaj
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Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
This paper describes the theory and implementation
of dynamic Bayesian networks in the context of speaker
identification. Dynamic Bayesian networks provide a
succinct and expressive graphical language for
factoring joint probability distributions, and we begin
by presenting the structures that are appropriate for
doing speaker identification in clean and noisy
environments. This approach is notable because it
expresses an identification system using only the
concepts of random variables and conditional
probabilities. We present illustrative experiments in
both clean and noisy environments and our
experiments show that this new approach is very
promising in the field of speaker identification. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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