搜索资源列表
HMM
- 基于统计的分词，采用隐马尔可夫模型，并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report
Cforspeech
- ：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技 术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率 在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound modul
speechrecognitionbasedonhmm
- 基于hmm的识别程序 识别数字0-9，识别率全对-speech recognition based on hmm number 0-9 all right
HMM
- matlab下基于HMM算法的语音信号的识别与研究 包含HMM的基本工具包-HMM-based algorithm matlab voice signal containing the identification and study of the basic HMM Toolkit
speechrecognition
- 关于语音识别,包括完整的语音读取、语音处理和语音提取的代码，-about speech recognition
BPNet
- 几种C++神经模型和算法实例,主要有BP神经网络、BP神经网络解决异或问题、HMM的C语言实现、矢量量化的C语言实现等。-Several C++ examples of neural models and algorithms, there are BP neural network, BP neural network to solve XOR problem, HMM of the C language, vector quantization, such as the C language
hmmtrain
- HMM模型，用C语言实现的，可以用于模式识别-HMM model, with the C language implementation, and can be used for pattern recognition
HMM_face_recognition
- 用隐形马可夫模型来做的人脸识别程序,利用了很多opencv的东西-face recognition by using Hidden markov model, opencv is included
FaceRec_part1
- 本人收集的人脸识别最新资料，从08年到09年，包含各种人脸识别的优秀算法，PCA,HMM,2DPCA,KDDA,一共20个文件，需要安装CAJ阅读器阅读，是不可多的学习和研究的参考资料（不是源码，算法详细）-I gather the latest information for face recognition, from 2008 to 2009, contains an excellent variety of face recognition algorithms, PCA, HMM, 2
m68kvrs-1.0.tar
- 一个包含了语音识别源码的工程，有hmm的识别算法实现-1 contains the source speech recognition project, there is recognition algorithm hmm
ASR_matlab
- 语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。-ASR use HMM and DTW method include wave files use for test and training.
OCR
- 基于Matlab的光学字符识别完整代码，对进行字符识别研究的人员有一定借鉴意义-Optical character recognition based on a complete Matlab code for the conduct of character recognition research staff have a certain referential significance
HMM
- 吉林大学时小虎老师机器学习课件——介绍隐马尔可夫模型-Jilin University, when the Tigers a teacher machine learning courseware- Introduction to Hidden Markov Model
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
HMM_C_LANGUAGE
- 语音识别HMM算法的C语言实现，里面有详细的注释和说明，阅读起来很容易理清程序流程和思路，函数的功能以及函数怎么调用都说的很清楚。相信对语音识别的DSP编程有很大的帮助。-HMM speech recognition algorithm for C-language implementation, which has detailed notes and instructions, read them very easy to straighten out our thinking proces
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
ASR_based_on_HMM
- 毕设的心血之作，，，完整的基于HMM的语音识别系统 并在前面有增强模块-morphology filtering
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
ProjectSpeech_HMM
- Speech recognition using H-Speech recognition using HMM
facea
- 介绍了基于adboost人脸检测和HMM的识别方法，有一定代表性，适合初学者学习-Introduced based on adboost face detection and identification of HMM methods, representative of a certain, suitable for beginners to learn