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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: 1406163 |
Author: 站长 |
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Description: 语音信号自动识别，有matlab交户界面，有dtw，vq，hmm三种算法供选择。-voice signal automatic identification, and families pay Matlab interface, dtw, Argentina, Brazil and Mexico. hmm three algorithms available.
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Size: 368898 |
Author: 杨莉莉 |
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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。
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Size: 623907 |
Author: 叶小勇 |
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Description: 基于连续隐马尔可夫模型hmm的语音识别的vq程序
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Size: 5396 |
Author: 小苗 |
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Description: 语音识别方面的开发包，有助于设计HMM，NN和VQ。它是开放源码的。-the development kits, contribute to the design of HMM, NN and VQ. It is open source.
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Size: 749703 |
Author: 吕学刚 |
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Description: 自适应矢量化算法（VQ）源程序VQ-adaptive vector algorithm (VQ) source VQ
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Size: 34816 |
Author: 邱文彬 |
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Description: 语音识别方面的开发包，有助于设计HMM，NN和VQ。它是开放源码的。-the development kits, contribute to the design of HMM, NN and VQ. It is open source.
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Size: 749568 |
Author: 吕学刚 |
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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:
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Size: 368640 |
Author: 杨莉莉 |
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Description: 语音识别配套的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，非常实用，仅供大家参考，别去抢人家饭碗才好。-speech recognition and matching VQ DHMM model training procedures, C language, has been positioned, can be directly transplanted to eight 16-bit MCU or DSP. And the current market speech recognition algorithm toys basically the same, very practical, is for your reference. stealing jobs other people a better life.
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Size: 6388736 |
Author: xubin |
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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: 基于连续隐马尔可夫模型hmm的语音识别的vq程序-Based on Continuous Hidden Markov Model Speech Recognition hmm the VQ process
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Size: 5120 |
Author: 小苗 |
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Description: BP神经网络的C语言实现 BP神经网络解决异或问题 HMM的C语言实现 矢量量化的C语言实现-BP neural network to achieve the C language BP neural network to resolve differences or problems in the C language HMM VQ the C language
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Size: 104448 |
Author: zhongweij |
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Description: 实现HMM算法，VQ算法，以及神经网络算法的语音识别程序-Realize the arigthom of HMM(training),VQ and NN for speech recognition
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Size: 3268608 |
Author: 11 |
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Description: BP神经网络的C语言实现 BP神经网络解决异或问题 HMM的C语言实现 矢量量化的C语言实现 -BP neural network to achieve the C language BP neural network to solve XOR problem of HMM VQ C language realization of the C language used to
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Size: 104448 |
Author: wufen |
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Description: 此工具箱里面有关于HMM、VQ、SVQ算法的原代码，可以方面的被调用。-H2M tool box is a advantageous tool box.there are HMM\VQ\svq and orther uesful algorithms.
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Size: 982016 |
Author: 陈娟 |
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Description:
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Size: 587776 |
Author: 李同学 |
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Description: hmm 智能语音 识别 合成 mfcc vq-hmm
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Size: 888832 |
Author: deepin |
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Description: 语音识别方面的开发包，有助于设计HMM，，NN与VQ。它是开放源码的。 可直接使用。
-the development kits, contribute to the design of HMM, NN and VVQ.. It is open source. complete source code,has passed the test.
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Size: 1016832 |
Author: 荒凉 |
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Description: Max Welling s Notes 原网页是PS格式的，我都转成了pdf格式方便阅读，机器学习算法相关，都是一些相对基础的算法，这个笔记把很多算法的精髓都整理的很清楚，适合初学者入门看，以及一些新的算法里面可能没有涉及，在英文描述中我把里面涉及的算法列了一下，按需求下载吧。-Max Welling s Notes。Statistical Estimation [ps]
- bayesian estimation
- maximum a posteriori (MAP) estimation
- maximum likelihood (ML) estimation
- Bias/Variance tradeoff & minimum description length (MDL)
Expectation Maximization (EM) Algorithm [ps]
- detailed derivation plus some examples
Supervised Learning (Function Approximation) [ps]
- mixture of experts (MoE)
- cluster weighted modeling (CWM)
Clustering [ps]
- mixture of gaussians (MoG)
- vector quantization (VQ) with k-means.
Linear Models [ps]
- factor analysis (FA)
- probabilistic principal component analysis (PPCA)
- principal component analysis (PCA)
Independent Component Analysis (ICA) [ps]
- noiseless ICA
- noisy ICA
- variational ICA
Mixture of Factor Analysers (MoFA) [ps]
- derivation of learning algorithm
Hidden Markov Models (HMM) [ps]
- viterbi decoding algorithm
- Baum-Welch learning algorithm
Kalman Filters (KF) [ps]
- kalman filter algorithm (very detailed derivation)
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Size: 1211392 |
Author: 陈希 |
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