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。
The technical development of verification system has been introduced firstly in the thesis , the theory for the hardware structure are then provide , finally , the hardware system design will be demonstrated from three aspects : 1 . the design of software & hardware co - emulation verification system at pcb level , including the pci interface board and the csm board . 2 最后从三个方面重点阐述了硬件系统的设计: 1 .软硬件协同验证系统三种验证模式板级系统的设计,包括两块pcb板卡的设计,一块是pci接口板卡的设计,另一块是联合仿真csm板卡的设计。
In the parameter - based fusion methods , we analyze the applicability of the bayes theory and neyman - pearson rule when they are applied to identity verification systems ; we compare global and local parameter in bayes fusion system ; we further propose weighted method , and apply it to bayes - and neyman - pearson - based identity verification system , and get a more higher verification result 在有参数的融合方法中,分析了bayes理论和neyman - pearson准则在融合时的适用范围;针对bayes融合系统参数的选取问题,我们分别进行了全局参数和局部参数的融合实验;并提出了加权思想,将其用于bayes理论和neyman - pearson准则的身份识别融合系统,得到了较好的鉴别效果。
At present , most speaker recognition systems are working on the computer . after primarily focusing on technique of feature extraction and recognition , this paper realizes a set of practical speaker verification system on spce061a , which can be applied to many fields of voice control 目前国内外绝大部分说话人识别系统都是基于计算机来进行的,本文在重点研究说话人识别系统中的特征参数提取、识别方法等关键技术的基础上,在凌阳16位单片机spce061a上实现了一套具有实用意义的说话人确认系统,在进一步完善的情况下,可将其应用于语音门锁、语音考勤、医用语音控制等。
For instance , fingerprint verification system , pupil verification system , speech verification system etc . in comparison with characteristics of above system , the characteristics of face are more directly , friendly and convenient characteristic and can easily be to accepted by the customers verification system face is nonrigid and largely variational , so face recognition is a complicated extensive and challenging research task 例如:指纹身份验证系统、瞳孔身份验证系统、语音验证系统等。相对于以上系统的生物特征,人脸特征又具有直接、友好、方便等特点,并易于被用户所接受。由于人脸是非刚体,变化较大,因此人脸识别是一个复杂、涉及面广而且应用前景广阔的研究课题。