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Description: 利用矢量量化（VQ）的方法实现的说话人辨认的程序，有兴趣者可以把它转换为C的-vector quantization (VQ) method to identify the Speaker of the proceedings, interested persons can transform it to C
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Size: 5396 |
Author: 陈建文 |
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Description: 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。-Speaker Recognition Speech Recognition is a special way, its purpose is not voice recognition, Who identification but said that the voice signal from extracting personal characteristics. Vector quantization (VQ) can avoid the difficulties subparagraph voice to the issues and the whole time, and as a means of data compression system can significantly reduce the required data storage capacity. This paper presents a selection of identifiers employ Cepstrum parameters and the application of VQ speaker recognition system to improve a side France. When training for the amount of data is smaller, rehabilitation Cepstrum be relatively stable recognition performance. VQ improved ways to avoid the speech recognition system of training and the use of the difference in time, resulting in excessive sys
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Size: 23925 |
Author: 张开 |
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Description: matlab做的 vq话者识别的程序
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Size: 601321 |
Author: 丁国梁 |
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Description: This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
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Size: 1405952 |
Author: 站长 |
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Description: 利用矢量量化（VQ）的方法实现的说话人辨认的程序，有兴趣者可以把它转换为C的-vector quantization (VQ) method to identify the Speaker of the proceedings, interested persons can transform it to C
Platform: |
Size: 5120 |
Author: 陈建文 |
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Description: 在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该说话人识别系统，对不同的人的1s～7s的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。
使用说明：
1 训练
打开Matlab 使Current Directory为VQ所在的文件夹(比如：E:\vq)
在Command windows中输入
-in MATLAB environment based VQ Speaker Recognition System. Real-time recording in the circumstances, the speaker recognition system, the different people of one's voice-7s for identification. Implementation and text-independent speaker recognition automatic real-time identification. Use : Matlab opened a training Current Directory to make VQ where the folder (for example, : E : \ vq) in the Command windows input
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Size: 706560 |
Author: annya |
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Description: 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。-Speaker Recognition Speech Recognition is a special way, its purpose is not voice recognition, Who identification but said that the voice signal from extracting personal characteristics. Vector quantization (VQ) can avoid the difficulties subparagraph voice to the issues and the whole time, and as a means of data compression system can significantly reduce the required data storage capacity. This paper presents a selection of identifiers employ Cepstrum parameters and the application of VQ speaker recognition system to improve a side France. When training for the amount of data is smaller, rehabilitation Cepstrum be relatively stable recognition performance. VQ improved ways to avoid the speech recognition system of training and the use of the difference in time, resulting in excessive sys
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Size: 23552 |
Author: 张开 |
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Description: 基于VQ的说话人识别程序 分为训练和识别两个步骤 具体请见程序-VQ-based speaker recognition process is divided into training and to identify the specific two-step procedure, see
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Size: 3072 |
Author: 邹 |
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Description: 说话人识别程序特征参数为MEL倒谱，模型为VQ量化-Speaker recognition process characteristic parameters for the MEL cepstrum, models for the VQ quantization
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Size: 5120 |
Author: joe |
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Description: 用vq算法进行说话人识别，能达到良好的效果-Using VQ speaker recognition algorithm can achieve good results
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Size: 567296 |
Author: 吴杰 |
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Description: 说话人识别方法及其系统的应用开发研究.毕业设计论文,详细.本文对说话人识别方法应用作了较深入系统的研究。采用的方法分别是矢量量化(VQ)识别方法、隐马尔可夫模型(HMM)识别方法、高斯混合模型(GMM)识别方法。-Speaker Recognition Method and system development and research. Graduate design thesis in detail. In this paper, methods of application of speaker recognition system were made more in-depth research. Methods used are vector quantization (VQ) identification methods, hidden Markov model (HMM) to identify methods, Gaussian mixture model (GMM) identification methods.
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Size: 623616 |
Author: 叶小勇 |
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Description: 用matlab编写的基于VQ的说话人识别算法（工具箱）-Matlab prepared using the VQ-based speaker recognition algorithm (Toolbox)
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Size: 109568 |
Author: boy |
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Description: 基于matlab平台，使用VQ算法的说话人识别-Matlab-based platform, the use of VQ algorithms Speaker Recognition
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Size: 5120 |
Author: santa q |
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Description: matlab做的 vq话者识别的程序-matlab to do the VQ speaker identification procedures
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Size: 601088 |
Author: 丁国梁 |
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Description: VQ方法的说话人识别的matlab代码，为刚接触矢量量化的新手准备-VQ method of speaker recognition matlab code for vector quantization刚接触novice ready
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Size: 5120 |
Author: 赵冬 |
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Description: 说话人识别程序,VQ识别方法,特征参数是MF-Speaker recognition procedures, VQ identification methods, feature parameters are MF
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Size: 9216 |
Author: 唐老鸭 |
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Description: 在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该说话人识别系统，对不同的人的1s～7s的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。
使用说明：
1 训练
打开Matlab 使Current Directory为VQ所在的文件夹(比如：E:\vq)
在Command windows中输入
train( 1s\ ,7)
这是将1s中的wav文件进行特征提取并产生VQ码本，
在workspace中有个ans的文件保存为.m文件，比如7.m，保存在1s文件夹下。（1s表示语音长1秒）
2 识别
在Command windows中输入
test( 4s/ ,7,ans)
其中的ans 就是步骤1产生的码本。（必须保证7.m在workspace中打开）此时就会显示结果。
Speaker 1 matches with speaker 2
Speaker 2 matches with speaker 3
Speaker 3 matches with speaker 4
Speaker 4 matches with speaker 6
Speaker 5 matches with speaker 2
Speaker 6 matches with speaker 7
Speaker 7 matches with speaker 7
1s、4s分别是7个不同的人说话的录音，只是打乱了次序。-err
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Size: 466944 |
Author: 晶晶 |
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Description: 说话人识别的matlab实现，供大家参考-tell the speaker s voice
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Size: 711680 |
Author: BruceLee |
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Description: 用于说话人识别的矢量量化的完整程序！关于与文本有关的说话人识别的识别率很高。-For speaker recognition vector quantization of the full program!
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Size: 6144 |
Author: 张春艳 |
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Description: speaker recognition.In 1980, Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. A VQ that is designed using this algorithm are referred to in the literature as an LBG-VQ.
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Size: 2380800 |
Author: arun |
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