First, it is proposed to replace gender and age byunsupervised clustering. Speaker classes are first used for adaptation of the conventional HMM. Second, speaker classes are used for initializing structured GMM, where the components of Gaussian densities are structured with respect to the speaker ...
Clustering Algorithms分类 1. Partitioning approach: 建立数据的不同分割,然后用相同标准评价聚类结果。(比如最小化平方误差和) 典型算法:K-Means, K-Medoids 2. Model-based: 对于每个类假定一个分布模型,试图找到每个类最好的模型 典型算法:GMM(混合高斯) 3. Dimensionality Reduction Approach: 先降维,再聚类...
The plot was developed based on the dataset values of the latitude and longitude variables of the food agencies and the families visiting these organizations. GCFB distributes to food agencies situated in five counties in Ohio. The service The results of GMM clustering The GMM parameterized by ...
典型算法:K-Means, K-Medoids 2. Model-based: 对于每个类假定一个分布模型,试图找到每个类最好的模型 典型算法:GMM(混合高斯) 3. Dimensionality Reduction Approach: 先降维,再聚类 典型算法:Spectral clustering,Ncut 1. Partitioning approach 1.目标: 找出一个分割,使得距离平方和最小 2.方法: Global optimal...
GMM is a really popular clustering method you should know as a data scientist. K-means clustering is also a part of GMM. GMM can overcome the limitation of k-means clustering. In this post, I will explain how GMM works and how it will be trained. ...
K-means属于原型聚类(prototype-based clustering),原型聚类指聚类结构能通过一组原型刻画,而原型即为样本空间中具有代表性的点。在K-means中,这个原型就是每个簇的质心 \(\boldsymbol{\mu}\) 。 从EM算法的观点来看,K-means的参数就是每个簇的质心 \(\boldsymbol{\mu}\),隐变量为每个样本的所属簇。如果事...
聚类算法总结 原文:http://blog.chinaunix.net/uid-10289334-id-3758310.html 聚类算法的种类: 基于划分聚类算法(partition clustering) 基于层次聚类算法: 基于密度聚类算法: 基于网格的聚类算法: 基于神经网络的聚类算法: 基于统计学的聚类算法: 几种常用的聚类算法从可伸缩性、适合的数据类型、高维性(处理高维数据...
所以通常我们会根据数据特征对triphone的状态进行绑定,常见的状态绑定方法有数据驱动聚类(Data-Driven Clustering)和决策树聚类(Tree-Based Clustering),现在基本上是使用决策树聚类的方式。 2.1 三音素建模:使用决策树 三音素GMM-HMM模型是在单音素GMM-HMM模型的基础上训练的,流程如下图所示。为什么要先进行单音素GMM-...
hmmlogsvmcrflinear-regressiondnnid3logistic-regressioncartadaboostbayesgmmrfknnsoftmax-regressionkmeans-clusteringmemm UpdatedNov 9, 2021 C++ 基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。 pyaudioflask-applicationspeech-to-textgmmspeaker-recognitionctcbaidu-aipcasr-...
classGMMclustering: logging.basicConfig(level=logging.INFO, format='%(levelname)s %(message)s') deffit(self,data,n_components,n_iter,ct): """ Estimate model parameters with the expectation-maximization algorithm. Parameters --- data - RDD...