搜索资源列表
GMMTRAIN
- 实现了从wave中读取数据，并通过mfcc提取特征系数。再通过分裂法聚类，最后使用EM算法建立GMM。-Realize the data read from the wave, and through MFCC feature extraction coefficient. Clustering through secession law, and finally the use of EM algorithm for the esta
GMMTEST
- 从wave中读取数据，通过mfcc提取特征系数。从txt文件中读取基于GMM的分类器，最终识别为那种类型-Read data from the wave through the MFCC feature extraction coefficient. Txt file to read from the GMM-based classifier, and ultimately identified as the type
0626GMMspeakerrecognition
- 基于 GMM的说话人辨认系统及其改进 -GMM-based Speaker Identification System and its improvement
speaker_identification
- 这是小弟在实验室做的说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别。希望会对大家有帮助。-This is the boy in the laboratory to do the speaker identification procedure for the extraction of MFCC parameters and to establish GMM model to be identified. I ho
gmmTrain
- gmmTrain: Parameter training for gaussian mixture model (GMM) -gmmTrain: Parameter training for gaussian mixture model (GMM)
GMM-matlab
- 关于高斯混合模型（GMM）的matlab源代码：-On the Gaussian mixture model (GMM) of the matlab source code:
learcode
- 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
a_novel_speake_identification_system_based_on_GMM_
- 文中详细介绍了一种基于GMM 与 SVM的说话人识别系统。包括特征提取，算法实现及实验数据。对语音处理及说话人识别技术的研究者很有帮助。-Introduce a novel speake identification system based on GMM and SVM,with feature extract,algorithm research and experiment data.This doc would be helpf
gmm_test
- 使用EM算法模拟高斯混合模型（GMM）的构成-Analog EM algorithm using Gaussian mixture model (GMM) the composition of
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages
gmm
- 高斯混合模型的详细实现 内有多个.m文件-Gaussian mixture model has a number of detailed implementation. M files
GMM-GMR-v1[1].2
- 这是一个GMM模型的语音识别代码 非常详细 而且实用。-This is a GMM model for speech recognition is very detailed and useful code.
libsvm
- 基于matlab的SVM（支持向量机）算法。作为非常流行的svm工具，可以实现基于SVM的数据分析，能够应用于人工智能及模式识别领域。-Matlab based on the expectation-maximization algorithm for Gaussian mixture model (GMM) toolkit. GMM-based data can be analyzed, can be used in the fiel
science_17
- Utterance partitioning with acoustic vector resampling for GMM–SVM speaker verification
science
- Advances in SVM-Based System Using GMM Super Vectors for Text-Independent Speaker Verification
A-Hybrid-GMMSVM-System-for-Text
- GMM-SVM combined for speaker verification-GMM-SVM combined for speaker verification
A-Hybrid-GMM-SVM-System-for-text-independent-spea
- A Hybrid GMM-SVM System for text independent speaker Recognition Sytem
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
Algoritmos
- Train and test a GMM model and a SVM model in matlab
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classi