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training
- this source code is for Training ,HMM for speech recognition
DTW
- DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm
Ggeneratesampe
- 生成《matlab扩展编程》中对于HMM训练的sammples.mat程序，自己编写，已通过测试。 -Generation " matlab programming expansion" in the HMM training sammples.mat procedures, I have written a complete source code, has been tested.
MixtGaussian
- 一个HMM的语音识别的 程序，包括训练识别等一系列子程序，有英文使用介绍-A HMM speech recognition procedures, including training to identify a series of subroutines, for use in English introduction
yuzhonshibiematlab
- 语种识别matlab程序，里面包括gmm，hmm模型的训练和测试-Language recognition matlab program, which includes training and testing gmm, hmm model,,,,,,
hmm
- DHMM问题3matlab实现，即给出训练数据，求解（A，B,pi）-Implement of DHMM，i.e，given training data ,estimate (P,Q,pi)
hmm-matlab
- 实现最简单的HMM的模型例子，给定一组观察值，训练HMM的模型；再给出一组观察值，评估出其状态值 -Realize the simplest HMM model example, given a set of observations, training of HMM model To give a set of observations, uate its status value to achieve the simplest HMM model example, given a set
hmm-program
- HMM的示例程序，包含特征样本和产生训练数据的程序，注释详细，适合参考学习-HMM sample program, including feature samples and generator training data, detailed notes for reference study
SpeechRec
- 在孤立词语音识别中，最为简单有效的方法是采用DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法，用于孤立词识别。HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。-Isolated word speech recognition, the most s
HMM_VoiceRecognation
- 通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理 并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preproces
fengning
- 完整的基于HMM的语音识别系统，比较了软阈值，硬阈值及当今各种阈值计算方法,包含特征值与特征向量的提取、训练样本以及最后的识别。- Complete HMM-based speech recognition system, Comparison of soft threshold and hard threshold and today various threshold calculation method, Contains the eigenvalue and eigenvector ex
ben_au71
- IDW距离反比加权方法，BP神经网络的整个训练过程,完整的基于HMM的语音识别系统。- IDW inverse distance weighting method, The entire training process BP neural network, Complete HMM-based speech recognition system.
baosan
- 完整的基于HMM的语音识别系统，BP神经网络的整个训练过程,意信号卷积的运算,并且绘制图象。- Complete HMM-based speech recognition system, The entire training process BP neural network, Convolution operation is intended to signal and image rendering.