speaker recognition的例句大全

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（Voiceprint Recognition，VpR），即说话人认证（Speaker Recognition）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。

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In text-dependent speaker recognition system, usually defines the contents of the speech, thereby limiting its application scenarios.

在文本依赖的语者识别系统中，通常会限定语音的内容，从而限制了其应用场景。

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Speaker recognition is the one that authorizes the speaker identity based on its voice or speech.

说话人识别技术即是一种基于说话人的声音鉴权说话人身份的技术。

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Study on Speaker Recognition System Based on Gaussian Mixture Model

基于高斯混合模型的说话人识别系统的研究

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speech recognition includes speaker recognition, conjunction word recognition and isolated word recognition.

语音识别主要包括说话人识别、连接词识别和孤立词识别。

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realization of speaker recognition system based on probability dp matching algorithm with dsp

以DSP实现基于概率DP匹配算法的说话人识别系统

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Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information include in speech signals. It can be widely applied to safety verification, control and so on. Especially, identity Recognition based on telecommunication network.

说话人识别系统是指通过说话人的语音来自动识别说话人身份的系统，本系统可以广泛应用于安全验证、控制等各方面，特别是基于电信网络的身份识别。

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what kind of voice messages can effectively characterize a person and distinguish themselves from others. it is a very important part in the speaker recognition technology: feature extraction.

什么样的语音信息能有效的表征一个人同时区别于其他人，这是说话人识别技术中的一个十分重要的环节：特征提取。

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integration search of hybrid information in vertical search engine: research and practice; the fusion algorithm for speaker recognition

垂直搜索引擎中的多元化信息融合检索研究说话人识别中的多系统得分融合策略

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Speaker Recognition Using Vector Quantization Technique and Hidden Markov Model Afterword

应用矢量量化技术与隐马尔可夫模型进行话者辨认

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A new approach of speaker recognition which combined the advantages of VQ and GMM is presented.

提出了一种新的说话人识别方法.

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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.

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svm can only classify two classes, how to solve speaker recognition, a problem of classifying multi-class, is the key of our task.

如何将解决二元分类的SVM用于说话人识别这一多元分类问题中，是本课题的关键。

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The second issue is the use of discrimination transform of LDA in speaker recognition.

本文的第二个工作是研究了线性判别分析（LDA）的区分性变换在说话人识别中的应用。

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This paper realized a speaker recognition system based on Gaussian Mixture Models ( GMM).

实现了一个基于高斯混合模型（GMM）的说话人辨识系统。

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This paper focuses on the speaker recognition system based on Mel-Frequency Cepstrum Coefficients ( MFCC) and Gaussian Mixture Model ( GMM).

在众多的说话人识别技术中，本文主要研究了基于Mel频率倒谱系数（Mel-Frequency Cepstrum Coefficients，简称MFCC）和高斯混合模型（Gaussian mixture model，简称为GMM）的说话人识别系统。

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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。

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The features of voice-character parameters and fundamental speaker recognition methods are analyzed by using linear prediction cepstrum coefficient and hidden Markov model as modeling algorithms.

通过分析语音特征参数的特点和说话人识别的基本方法，利用DSP的硬件平台，以线性预测倒谱系数为特征参数提取算法以及隐马尔可夫模型为建模算法，实现电子语音锁的系统设计。

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( 2) Dynamic Time Warping, Vector Quantization, Hidden Markov Model and Artificial Neural Network can be used in speaker recognition.

现有的说话人识别方法有动态时间规整法、矢量量化法、隐马尔可夫模型和神经网络法等，其中HMM已成为目前最佳的说话人识别处理模型。

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Comparative Study of Continuous Hidden Markov Models and Artificial Neural Network on Speaker Recognition

连续隐马尔可夫模型和神经网络在说话人识别中的比较

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