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。
Due to its special merits of flexibility, economy and accuracy, speaker recognition technology has a broad application future in biometrics security field.
说话人识别技术因其独特的方便性、经济性和准确性，在生物特征识别领域中具有广阔的应用前景。
Experiments show that the new arithmetic not only has excellent effects on speech improvement but also has potential to improve robustness of a speaker recognition system in noisy environments.
实验结果表明，这种方法不仅有明显的语音增强效果，且应用于噪声环境下的说话人识别系统时，能够提高系统的鲁棒性。
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。
Paper's research contents concentrate on the strategy of speaker recognition.
论文研究内容集中在说话人识别的策略方面。
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。
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。
Experimental results show that using SVM-GMM model can improve the open-set speaker recognition rate effectively.
实验结果表明，使用SVM - GMM模型能有效地提高开集说话人识别的识别率。
A speaker recognition method based on improved FCM clustering with vector quantization is introduced in this paper.
提出了一种将改进的FCM聚类算法与矢量量化相结合的说话人识别的方法。
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。
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。
Gaussian mixture model (GMM) has been widely used for text-independent speaker recognition. This method has simple and efficient character.
高斯混合模型(GMM)已广泛地应用于文本无关的说话人识别系统，该方法具有简单高效的特点。
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。
Therefore, a more robust method for speaker recognition with high accuracy of recognition rate is the aim for researchers at home and abroad.
因此，研究一种识别率高、鲁棒性强的说话人识别方法是国内外众多研究者努力的目标。
This system can also be used in the real-time speaker recognition. The effectiveness of the proposed method has been confirmed by experiments.
实验结果表明该系统具有识别精度高、速度快等特点，是一种有效的说话人自动识别的实现方法。
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。
By adopting the invention, delicate depiction can be carried out on the background model, thereby improving the accuracy rate on speaker recognition.
本发明可对背景模型进行细致刻画，从而提高说话人识别的准确率。
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。
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。
This paper applies the long-time spectrum statistical parameters to the text-independent speaker recognition system, as more valid parameters with LPC together.
把频谱特征的统计参数应用于与文本无关的说话人识别系统中，与LPC参数一起作为一种更有效的参数。
Because of its features which include simple operation procedure and so on, speaker recognition based on VQ is widely applied to the field of speaker recognition.
基于矢量量化的说话人识别，因其运算过程简单等特点，在说话人识别领域有着广泛的应用。
For most of speaker recognition systems based on acoustic signals, a novel approach of speaker recognition technology based on lip movement is presented in this paper.
针对说话人识别技术多基于语音的现状，文章提出了一种新颖的基于唇动的说话人识别技术。
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