In this paper, a new text-independent speaker recognition is proposed.
该文提出了一种新的与文本无关的说话人识别算法。
VR has two aspects: Speaker Recognition and Voice Content Recognition.
其中语音识别包含两个方向：声纹识别和语音内容识别。
Speaker recognition system source code integrity, and can be used directly.
说话人识别系统的源代码完整，并可以直接使用。
Speaker recognition aims at recognizing the identity of a speaker by speech.
说话人识别的目的是根据语音信息识别说话人身份。
This shows that the neural network is a potential method for speaker recognition.
这说明神经网络对于说话人识别是一种很有潜力的方法。
SONAR both supports Automatic Speaker Recognition and Automatic Speech Recognition.
SONAR可同时支持说话人识别与语音识别。
The text-independent speaker recognition is an important part of speaker recognition.
与文本无关的说话人识别方法是当前说话人识别技术的研究重点。
The length of testing speech is one of the key factors of affecting the speaker recognition.
测试时长是影响说话人识别问题的主要因素之一。
In the SVM-based speaker recognition system study, it is important to obtain a ideal recognition rate.
在基于SVM的说话人识别系统研究中，如何获得理想的识别率是亟待解决的问题。
A method of speaker recognition based on sub-band processing and multi-classifier combination is presented.
提出了一种基于子带处理多分类器融合的说话人识别方法。
Now we introduce trajectory model in speaker recognition and improve the codebook training algorithm for VQ.
文章把轨线模型应用于说话人识别，同时对VQ模型的电码本训练算法进行了改进。
In algorithm ways, Gaussian mixture model (GMM) is the most successful speaker recognition model at present.
在算法方面，高斯混合模型(GMM)是目前最成功的一种说话人识别模型。
Speaker recognition is implemented mainly through three phases: feature extracting, model building, decision.
说话人识别主要经过三个阶段来实现——提取特征、建立说话人模型、判决。
Speaker recognition may be looked as one kind of voice recognition, and it is one of researching hotspots currently.
说话人识别可以看作语音识别的一种，是当前研究的热点之一。
Speaker recognition may be looked as one kind of voice recognition. And it is one of researching hotspots currently.
说话人识别可以被看作语音识别的一种，是当前的研究热点之一。
VQ (Vector Quantization) technique is widely used in text-dependent and text-independent speaker recognition systems.
矢量量化(VQ)技术在话者识别系统中得到了广泛的应用。
The modern technology of Biometrics consists of face recognition, fingerprint recognition, speaker recognition and so on.
生物特征识别技术包括人脸识别，指纹识别，声纹识别等。
In this thesis, the speaker recognition technology and its application in Hospital Guide Platform is thoroughly discussed.
本文对说话人识别技术在医院导医平台中的应用作了较为深入的研究。
One of the key problems is to find an efficient speaker characteristic parameter for the text-independent speaker recognition.
文本无关说话人识别的一个关键问题是寻求一种有效的说话人个性特征量。
The design and implementation of voice controlled system which contains speaker recognition and speech recognition are introduced.
介绍了一个包括说话人识别和说话内容识别的声控系统的设计与实现。
The experiment of using different phonetic parameter indicates that the VQ algorithm is an effective method in speaker recognition.
用不同语音参数进行实验，实验表明应用矢量量化的方法用在说话人识别中是一种有效方法。
This thesis introduces the characteristics of DSP and the configuration of TMS320VC5402, and develops a DSP-based speaker recognition system.
本文介绍了DSP特点和TMS320 VC 5402结构，然后提出基于DSP的说话人识别系统。
Speaker Recognition (Voice Print Recognition) technology has been widely used in the information security domain due to its unique advantages.
说话人识别技术(声纹识别技术)以其独特优势在信息安全领域的应用逐渐增大。
Parametric Stochastic Trajectory Model: in a speaker recognition system, it's often encountered that the speech data isn't enough for training.
参数化随机轨线模型：在说话人识别系统中，经常存在训练语料不足的问题。
This paper applies speaker recognition methods into instrument recognition. The pattern recognition is utilized to implement instrument recognition.
该文把话者识别的方法应用到乐器识别之中，采用模式识别的方法实现对乐器的识别。
This paper focuses on the relationship between the length of testing speech and text independent speaker recognition accuracy of the system for DSR.
该文主要对分布式语音识别中测试时长与说话人识别率的关系进行了研究。
The attention of the paper is concentrated on the speaker feature extraction and speaker modeling which are the two key problems in speaker recognition.
本文对说话人识别中所涉及的两个关键问题，即说话人的特征提取和说话人识别模型的建立进行了重点研究。
The result of the experiment indicates that this method can improve the recognition rate of the text-independent speaker recognition system based on GMM.
实验结果表明，该方法能改善基于GMM的与文本无关说话人识别系统的识别率。
A probability DP matching algorithm was proposed to realize speech speaker recognition and TMS320C5416 was used to realize auto speaker recognition system.
提出了利用概率DP匹配算法进行说话人识别的的设想。并给出了运用TMS320C 5416实现说话人自动识别系统的方案。
To apply the discriminative classifier in the speaker recognition, the building sequence kernel support vector machine(SVM) becomes the trend in the field.
为了更好地将区分式分类方法应用于说话者确认系统中，构建序列核支持向量机已成为说话人识别领域的研究热点与趋势。
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