...ication)，主要用于判断某一语音材料是由若干发音者中哪一人所说，属于“多选一”的识别；二是说话人确认(Speaker Verification)，主要用于确认某一语音材料是否由指定的某个人所说的，属于“一对一”识别。
基于32个网页-相关网页
Automatic Speaker Verification 自动说话人确认
speaker verification system 说话人确认系统
Text-prompted Speaker Verification 系统提示密码的说话人认证
Speaker Verification with passwords 说话人确认与密码
User-customized Speaker Verification 用户定制密码的说话人认证
text-independent speaker verification 文本无关说话人确认
It can be classified into speaker identification and speaker verification according to decision modes. This thesis focuses attention on free-text speaker identification.
说话人识别可以分为说话人辨识和说话人确认两大类。
参考来源 - 任意文本的说话人识别系统研究Currently, Gaussian Mixture Model-Universal Background Model based speaker verification, dominates the field of text-independent speaker verification.
目前,最热门的文本无关说话人认证系统均是基于高斯混合模型并结合背景模型的,这类系统忽略说话人说话的内容、语言等,因而其工程应用价值大打折扣。
参考来源 - 基于广义音素的文本无关说话人认证的研究Aiming at improving the speed of speaker verification system based on kernel fisher discriminant,a new method based on PCA and kernel fisher discriminant is proposed.
针对核Fisher判别技术在说话人确认中实时性较差的问题,提出了一种基于PCA和核Fisher判别的说话人确认方法。
参考来源 - 基于PCA和核Fisher判别的说话人确认Text-dependent speaker verification system can be implemented through different mechanisms.
由于实现方法和使用方法的不同,文本相关的说话人认证可以有许多不同的实现方案,论文研究了用户定制密码的说话人认证和系统提示密码的说话人认证。
参考来源 - 文本相关的说话人认证系统Support Vector Machine(SVM)has been widely used in text-independent speaker verification systems. However,there are lots of training data unbalance problems with this algorithm due to the insufficiency of the data from target speakers.
支持向量机在与文本无关的话者确认系统中已经取得了广泛的应用,但是在实际应用系统中获得的目标说话人样本与冒认者样本数量比一般在几千分之一,因此存在很严重的样本非平衡问题,冒认者样本选择的好坏直接影响到整个系统的性能。
参考来源 - 采用支持向量机的说话者确认中的样本平衡 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, a novel adaptive text independent speaker verification method is proposed.
该文提出一种与文本无关的自适应说话人确认方法。
A speaker verification system based on support vector regression machine (SVR) is presented in this paper.
提出一种基于支持向量回归机的说话者确认方法。
The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.
支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。
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