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The BYY annealing learning algorithm for Gaussian mixture with automated model selection
Update : 2025-04-26 Size : 850kb Publisher : anie

Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.
Update : 2025-04-26 Size : 238kb Publisher : ZCEEE

编程验证[x+1]是GF(28)=GF(2)[x]/(x8+x4+x3+x+1)的本原元,并给出GF(28)=GF(2)[x]/(x8+x4+x3+x+1)中以[x+1]为底的对数表和反对数表-Program verification [x+1] is the GF (28) = GF (2) [x]/(x8+ x4+ x3+ x+1) of the primitive element, and gives GF (28) = GF (2) [x]/(x8+ x4+ x3+ x+1) in order to [x+1] as the logarithm tables and antilog tables
Update : 2025-04-26 Size : 1kb Publisher : Yang
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