搜索资源列表
GMM-EM
- 用matlab实现高斯混合模型的前期处理和分类训练！
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。
GMM.rar
- 完整的语音识别程序，训练模型固定。可以运行出识别结果的~,entire speech recognition programme,with the trainning model given.On matlab,we can get the result of recognition.
Voice_Conversion_1
- 基于GMM模型实现语音转换,通过GMM模型对谱包络的建模，实现男女，个性化语音之间转换-Voice conversion using GMM model
speaker1PGMM
- 说话人识别GMM模型训练MATLAB程序，需要和voicebox配合使用，使用voicebox提取MFCC和k均值分类，这是GMM说话人识别模型的训练程序。-Speaker Recognition GMM model training MATLAB program used in conjunction with and voicebox, voicebox extract MFCC and k-means classification, which is a GMM speaker recog
05-a
- 本文章描述了说话人识别中GMM模型中的聚类算法的研究-This article describes the GMM Speaker Recognition Model Clustering Algorithm
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 of the handwritten signature v
08gmm
- GMM很好的理论资料,对高斯模型的详细描述以及EM算法的介绍。对编程有一定的帮助。-This is for the initial researcher to study about the GMM Model.
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
11912869gmm-gmr
- 高斯混合模型，为了减少语者自己语音本身的变异性，只留下语者间彼此的变异性，在建立语者特定模型时，先训练一个语者不特定模型，-interpriter
Trainingmodel
- 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
GAUSSIANloglikelihood
- GMM高斯混合模型大规模概率对数计算 需要一个模型地址文件和一个需要识别的声音的mfc文件可以一次执行大批量-GMM Gaussian mixture model probability on the number of large-scale computing need a model of address file, and the voice of the mfc file which need to be identified .can be an implementation
EM_GM
- 这是关于说话人识别很好的源程序，对研究GMM模型的说话人识别有很好的价值。-They are programms about speaker recognition, and they are helpful to the study about GMM speaker recognition.
speech-emotion-recognition-system
- gmm模型下的语音情感识别系统，GMM只是一个数学模型，只是对数据形态的拟和，但是和你所看到的数据分布存在出入也是正常的，因为用EM估计GMM的那些参数时，一般假设我们所得到的数据是不完备的（也就是说假设我们看到的数据分布不是真正的分布，它在运算时把那部分丢失或者叫隐藏的数据“补”上了）-gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but
gmm
- 这是一章详解高斯模型的文章，非常适合初学者，理论思路讲解清晰，也是学习隐马尔科夫模型的准备知识。-This is an article Detailed Gaussian model, very suitable for beginners, theoretical ideas to explain clearly, but also to learn a ready knowledge of the hidden Markov model.
GMM-model-based-SR
- 基于GMM模型的说话人辨认系统GMM model-based speaker recognition system -GMM model-based speaker recognition system
m
- 基于HMM或者GMM模型的说话人识别系统的实现及改进-Speaker recognition system based on HMM or GMM model and improvement
genderFormantTracker(matlab)
- 说话人性别识别matlab程序，基音检测、共振峰检测、GMM模型识别-Speaker sex recognition matlab program, pitch detection, formant detection, GMM model identification
voice-box-GMM
- 语音处理GMM相关算法,1.计算概率密度并画出高斯混合模型，2.计算边际，条件混合高斯密度,3估计两个GMM模型的Kullback-Leibler divergence。-GMM relating to speech processing algorithms.1,to calculate probability densities from or plot a Gaussian mixture model.2,marginal and conditional Gaussian mixture
HMM-GMM
- 使用高斯混合模型和隐马尔科夫模型进行建模(Modeling using Gauss mixture model and hidden Markov model)