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噪声环境下说话人识别性能的研究,大家可以参考下，很好的参考资料，适合做论文的毕业生们。-Noise performance of speaker recognition research, we can refer to, the very good references, papers suitable for graduates.
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基于因特网的说话人识别技术研究方面的源代码，请大家批评指正，谢谢！-Internet-based speaker recognition technology research in the source code, please criticism, thank you!
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Matlab 说话人识别 DTW
P已编译代码-Speaker Recognition （DTW）
Matlab compiled P-File
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两篇很好的基于GMM的说话人识别技术研究论文，《基于GMM的说话人识别技术研究与实现
》 《基于GMM的说话人识别技术研究与实现 》，NH文件格式，中国知网付费下载。-Two very good people speak of the GMM-based recognition technology research papers, " GMM-based Speaker Recognition technology research and implementation"
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sample timid database with 10 speakers with 10 sample wav files and others.
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this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements i
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包括倒谱基音周期混合特征系数的话者识别，能频积端点检测、语音基音周期检测等C++源代码，本人整理编译过，比较紧凑高效-Including Pitch cepstrum coefficient of the mixed features of speaker recognition, to plot frequency endpoint detection, voice, etc. Pitch Detection C++ source code, I compiled collate, compa
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利用mfcc参数进行特征参数提取.进而实现说话人识别-Mfcc the use of feature extraction parameters. To achieve the speaker recognition
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Gray先生的大作，描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
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用于说话人识别初始化样本的聚类算法
调试成功-Speaker Recognition for initialization of the clustering algorithm samples
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识别正确率和抗噪性能是语音识别的研究重点，而识别响应速度也是决定系统实用化的关键 文章改进了传统的动态时间弯折算
法结构，将其应用于实时说话人辨识系统中，极大地提高了系统运行速度，随着待识别语音数目的增多，该算法优势更加明显 实验表明，
在不影响系统识别率的情况下，该方法使系统的运行速度平均提高了1.5 倍-Identify the correct rate and the anti-noise performance is the focus of speech recognition
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AUTOMATIC SPEAKER RECOGNITION
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关于高斯混合模型（GMM）的matlab源代码-是用于训练分类的不错的源代码-On the Gaussian mixture model (GMM) of the matlab source code- is used to train a good classification of the source code
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mat lab voice recognition project
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本资料是自己编写的基于MATLAB语音工具箱的DTW动态时间规整的说话人识别，具有很高的识别率-This information is written in their own voice-based MATLAB toolbox DTW dynamic time warping speaker recognition with high recognition rate
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语音识别中语音信号的的预加重与分帧程序。-Pre-emphasis and framing process in speaker recognition.
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识别配套的VQ及DHMM模型训练程序,C语言,已经定点化,可直接移植到8位MCU或16位DSP中.与目前市面的语音识别玩具的算法基本一致,非常实-speaker recognition
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通过对语音处理和识别，以实现对小车的控制，可以在硬件设备上实现-speaker recognition
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speaker recognition domain
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