3 ) we try to import the bayesian adaptation , which is widely used in speech recognition , into speaker verification . we use bayesian maximum a posteriori estimation training a speaker model from background model , to solve the problem of model miss matching in speaker verification system 3 )為了解決說話人確認中存在的模型不匹配問題,嘗試將語音識別中的貝葉斯自適應算法引入到基于高斯混合統一背景模型的說話人確認系統。
百科解釋
In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data.