Voiceprint

Voiceprint recognition technology can be used as an important means of identification .

声纹识别技术可以作为鉴别身份的一种重要手段。

Research of User Customized Password Voiceprint Recognition System and Embedded Implementation

用户定制口令声纹识别系统研究与嵌入式实现

Live Voiceprint Recognition System Based on the Speech Filtering and Emotional Compensation

基于言语过滤、情感补偿的活体声纹识别系统的设计

Relevant Problems concerning the Extraction of Voice Feature Parameters in Voiceprint Recognition Technology

声纹识别技术中特征语音参数选取的相关问题

To achieve collection and storage of voiceprint features . 6 .

实现系统对声纹特征的采集与存储。

Because people own different natural features . So voiceprint and fingerprint are unique .

声纹和指纹一样都具有排他性，因为每个人的自然特征不同，所以声纹和指纹都各具特色。

Although voiceprint recognition technology obtains a quickly development , this technology is still unsatisfied .

虽然声纹认证技术取得了迅猛的发展，声纹认证技术还不理想。

Mainly study the voiceprint verification system based on the Gaussian mixture model ( GMM ) .

重点分析了基于高斯混合模型的声纹识别确认系统。

Experiment results have shown that PSO and ANN are effective in Voiceprint Recognition .

实验结果表明，PSO和ANN结合模型在声纹识别上具有很好的识别效果，是比较有效的识别方法。

Research on Voiceprint Recognition and Algorithm of Patten Match

声纹识别系统与模式匹配算法研究

Voiceprint points to a frequency chart of taking the speech information by the show of an electric voice instrument .

声纹是指用电声学仪器显示的携带言语信息的声波频谱。

The voiceprint recognition models are commonly constructed as parametric models , non-parametric model , artificial neural network and support vector machine model .

目前常用的声纹识别模型可分为参数模型、非参数模型、人工神经网络模型和支持向量机模型。

Ever thought about a voiceprint ?

你考虑过声波纹吗？

Just got a voiceprint match on Dana Winters .

我找到了与戴娜·温特斯匹配的声音

Voiceprint Recognition ( VPR ) is one of Biometric technologies which can know who are you by your words .

声纹识别是语音识别的一种，它根据测试语音来辨别说话者的身份。

A sound similar to a woof . Acoustic Differences of Normal and Loud Voice , and the Influence on Forensic Voiceprint Identification

与这种声音相似的声音正常、大声两种说话状态下语音的声学差异及对声纹鉴定的影响

Voiceprint recognition technology is also called the speaker recognition technology with the figurative language . It is the technology to determine the identity of the speaker .

声纹识别技术，形象的说是说话人识别技术。

Speaker recognition , also known as voiceprint recognition , is an important branch of speech signal processing and is one of the most popular research fields about speech .

说话人识别又称声纹识别，是语音信号处理中的重要组成部分，是当前的研究热点之一。

Voiceprint recognition is the technology of automatic identity speaker 's authentication according to obtain the feature parameter which reflecting mental and physiology in voice form .

声纹认证（VoiceprintRecognition，VpR），即说话人认证（SpeakerRecognition）是根据获取声音波形中反映说话人生理、心理和行为特征的特征参数来自动认证说话人身份的技术。

Voiceprint which is a steady signal for every person in long time is one kind of biologic characteristics . Different people can be distinguished by the voice identification technology .

声纹是生物特征的一种，对于人体来说，声纹是长期稳定的特征信号，通过声纹鉴别技术可以区分不同个体。

Realize Hide Markov Model use MATLAB , and do the experiment of voiceprint recognition use the pronunciation database which set up by the paper , provide the analysis of experimental results .

用MATLAB实现隐马尔可夫模型，根据本论文建立的语音库做了声纹辨认实验，对实验结果进行了分析。

If we adequately exert the function of voiceprint technology , it would increase the ratio of cracking criminal cases and find out new resource to facilitate the process of information detection .

充分发挥声纹鉴定技术在刑案侦查中的作用将提高相关案件的破案效率，发掘新的破案资源，也必将推动、促进刑侦信息化进程。

Voiceprint recognition technology has wide market prospect , and our county is devoting more effort to it , so this technology will be riper and more perfect in the future .

声纹识别具有很广阔的市场前景，国家正加大投入力度，预计在未来这项技术会更加成熟和完善。

Voiceprint recognition recognizes speakers , and it does not recognize contents of the pronunciation signal of speaker , but the identity of the speaker of the pronunciation signal .

声纹认证不是认证语音信号的文字内容，而是认证发出语音信号的说话人的身份。

The extraction of features of Voiceprint Recognition System . The paper describes the sound channel model , Linear Predictive Coding ( LPC ), Linear Predictive Cepstral Coefficients and Mel-Frequency Cepstral Coefficients . 2 .

详细阐述了声道模型、线性预测编码（LPC）分析、LPC倒谱系数、Mel倒谱系数的求解；2、声纹识别的识别方法和模型。

Compared with other technology such as fingerprint recognition , palm print recognition , iris recognition and other biometric authentication technology , Voiceprint Recognition technology has attracted much attention because of its unique advantage on convenience , economy and accuracy .

声纹识别技术与其他如指纹识别、掌形识别、虹膜识别等生物认证技术相比，在方便性、经济型和准确性上有着独特的优势，因此备受关注。

After the description of the acoustic basics of speech signal processing and speech signal generation , front-end processing , endpoint detection for the voiceprint identification system is made . It also introduces speech endpoint detection method with dual-threshold two sentences and the application .

在描述了语音信号处理的声学基础知识和语音信号的产生之后，针对声纹识别系统做了前端处理&端点检测，介绍了双门限两级判决的语音端点检测方法及应用。

A compensative fuzzy classifier based on genetic algorithm wavelet neural network is presented to solve the problem like high-dimensional biometric authentication such as voiceprint and face recognition . The experiment result proved that the classifier could effectively improve the recognition rate comparing to the traditional Back-Propagation neural network .

针对声纹识别和人脸识别等高维的生物特征身份识别问题，本文提出了一种基于遗传小波神经网络的补偿模糊分类器，实验结果表明本分类器比传统的BP神经网络的效果好。