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说话人识别是语音识别的一种特殊方式，其目的不是识别语音内容，而是识别说话人是谁，即从语音信号中提取个人特征。采用矢量量化（VQ）可避免困难的语音分段问题和时间归整问题，且作为一种数据压缩手段可大大减少系统所需的数据存储量。本文提出了识别特征选取采用复倒谱特征参数和对应用VQ的说话人识别系统改进的一种方法。当用于训练的数据量较小时，复倒谱特征可以得到比较稳定的识别性能。VQ的改进方法避免了说话人识别系统的训练时间与使用时间相差过长从而导致系统的性能明显下降以及若利用自相关函数带来的大量运算。-Sp
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改进PSO-SVM在说话人识别中的应用。通过对粒子群优化算法中惯性权重和全局最优值
的分析，提出了一种根据迭代次数而自适应变化的惯性权重的粒子群优化方法,Improvement in the PSO-SVM speaker recognition applications. Through particle swarm optimization algorithm in the inertia weight and the analysis of the global optimum val
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说话人识别综述文章，浅显易懂，纹理清晰，初学者必备！-Review Speaker Recognition, easy to understand, texture clear, beginners must!
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Source code for speaker recognition
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Text-independent speaker recognition using graph matching.
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a speaker recognition standard
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说话人识别代码MATLA-Speaker Recognition code MATLA ~~~~~~~~~~
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是清华大学的一位博士后做的关于说话人识别的报告，对于说话人识别的内容总结的很详细。-Tsinghua University, a post-doctoral do the report on Speaker Recognition, Speaker Recognition for the contents of the summary of very detailed.
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BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition
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speaker recognition domain
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speaker recognition domain
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This PDF describes speaker recognition. It s about theoretical digital sound analizing
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automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
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HMM语音识别，文本相关或文本无关均使用的说话人模型-HMM speech recognition, text-related or text-independent speaker model are used
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Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Pa
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Automatic Speech and Speaker Recognition
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Speech and Speaker Recognition Evaluation ebook
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Speech Recognition as feature extraction in speaker recognition system
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说话人识别很好的参考文档，是GMM搭建说话人识别系统的入门教程-Speaker Recognition good reference document, GMM build the speaker recognition system Tutorial
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Text Dependent (TD) Speaker Recognition systems assume that the password to be uttered by the speaker is known to the system. As the password is known, the system can apply a password-specific model capturing the speaker dynamics well. This enables T
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