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 )为了解决说话人确认中存在的模型不匹配问题,尝试将语音识别中的贝叶斯自适应算法引入到基于高斯混合统一背景模型的说话人确认系统。
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.