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Description: 语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。- In speech recognition classical HMM algorithm, including has
the sequence, the test and the parameter training, compiles by the C
language.
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Description: 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.
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Size: 7168 |
Author: 姜正茂 |
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Description: 这个源码提供了如何利用高斯混合模型去做影像辨识的参数的训练-the source how to use a Gaussian mixture model to do the imaging parameters of literacy training
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Size: 21504 |
Author: 小王 |
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Description: 训练高斯混合模型的程序，尽管此类代码较多，但本程序经过笔者改写优化后，很大程度上避免了普通方法中局部最优的问题。-Gaussian mixture model training procedures, although the code more, but the procedure after the author rewrite optimization, largely avoiding the ordinary method of optimal local issues.
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Size: 2048 |
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Description: 混合高斯模型和EM算法结合，当中用到了自己写的Kmeans聚类，附带测试样例、训练样例和main函数。-Gaussian Mixture Model and EM algorithms, which use their own written Kmeans cluster, with the test sample, the training sample and the main function.
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Size: 1662976 |
Author: teddy9605486 |
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Description: 用matlab实现高斯混合模型的前期处理和分类训练！-Using Gaussian mixture model matlab realize the pre-treatment and classification of training!
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Size: 60416 |
Author: yue |
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Description: gmmTrain: Parameter training for gaussian mixture model (GMM) -gmmTrain: Parameter training for gaussian mixture model (GMM)
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Size: 2048 |
Author: 鲁剑锋 |
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Description: 说话人识别和训练系统所用的很多源码，内容很详实，希望大家能用的上-Speaker Recognition and training system used by a lot of source code, content is very informative and hope that we can use the upper
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Size: 8192 |
Author: 姜海鹏 |
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Description: Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
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Size: 560128 |
Author: sam |
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Description: 利用混合高斯模型训练视频，获得背景图像，并将背景保存。-training video with GMM model ,then get the background,and store the picture in your computer.
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Size: 3643392 |
Author: rick wang |
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Description: Expectation Maximization for training GMM s, diagonal covariances. Requires vqtrain.m to have a good initialization.
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Size: 1024 |
Author: Parvatishankar |
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Description: Expectation Maximization for training GMM s, full covariances. Requires vqtrain.m to have a good initialization.
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Size: 2048 |
Author: Parvatishankar |
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Description: Training model(GMM模型)挺不錯的範例,只是有些小地方,有點問題,需要修改,大致是OK的-Training model (GMM model) quite a good example, but some small place, some problems need to be amended generally OK to
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Size: 29696 |
Author: 鄭曉郁 |
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Description: GMM是语音识别中比较成熟的算法之一，这个MATALB完整的实现了基于GMM算法的识别训练程序，可以适用于GMM识别和学习的同行的参考-GMM is a speech recognition algorithm for the more mature one, this MATALB full implementation of the identification algorithm based on GMM training procedures, can be applied to GMM counterparts to identify and study the reference
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Size: 2048 |
Author: yilingzhu |
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Description: this another gmm training matlab source code.
it use k-means for initialization of parameter before trainig, not LBG algirhtm. so it is very helpful for GMM training-this is another gmm training matlab source code.
it use k-means for initialization of parameter before trainig, not LBG algirhtm. so it is very helpful for GMM training
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Size: 5120 |
Author: whchoi/GodDog |
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Description: GMM的matalab实现，通过对多个语种进行训练，然后得出每个语种的GMM模型，最终用于语种识别-GMM' s matalab achieved through training of more than one language, then come to the GMM model for each language, and ultimately for identifying languages
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Author: wuji |
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Description: 混合高斯背景建模C++源程序
在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。-Before the the mixed Gaussian background the modeling C++ source. During foreground detection, background training, each background image using a Gaussian mixture model simulation, adaptive Gaussian mixture number of each background.
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Size: 7168 |
Author: sjtu-lsz |
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Description: 使用高斯混合模型（GMM），对声音信号进行识别，包括对特征参数的采集、训练和识别过程-Using the Gaussian mixture model (GMM)to realize the recognition of the sound signal, including the acquisition of the characteristic parameters,the training and the recognition process
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Size: 4096 |
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Description: 声纹识别MFCC特征提取以及GMM训练过程，有界面，清晰易懂！-Voiceprint recognition MFCC feature extraction and GMM training process, interface, transparent!
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Size: 76800 |
Author: 任真 |
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Description: 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For complex background environment under fixed camera, the image data captured video images using Gaussian mixture background modeling method implementation foreground/background segmentation, detecting and tracking moving objects. Before foreground detection, the first training background, the background of each image using a Gaussian mixture model to simulate the number of each Gaussian mixture background adaptively. Then in the testing phase, the pixels on the new GMM match, if the pixel value is able to match one of the Gaussian, then that is the background, otherwise considered a prospect. Since the whole process is continuously updated GMM model in the study, so the dynamic context of a certain robustness. Finally, on a tree swing dynamic background foreground detection, achieved good results.
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Size: 5177344 |
Author: axin |
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