当前位置：
首页 资源下载
搜索资源 - speaker recognition using gmm
搜索资源列表
-
0下载：
使用voicebox进行说话人识别,初步介绍如何用GMM（Gaussian Mixture Model）的方法来进行说话人辨识（Speaker Identification），并在Matlab下，尝试通过调整参数来提高得分-For speaker recognition using the voicebox, initially describes how to use GMM (Gaussian Mixture Model) approach to speaker recognition (S
-
-
0下载：
Wavelet Subband coding for speaker recognition
The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM
-
-
0下载：
automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
-
-
0下载：
Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Pa
-
-
0下载：
This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vecto
-
-
0下载：
本程序是基于matlab的语者识别系统。采用mfcc算法进行提取语音特征，用gmm算法进行匹配。-This procedure is based on a speaker recognition system matlab. Mfcc algorithm using speech feature extraction, matching algorithms using gmm.
-
-
0下载：
Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pi
-
-
0下载：
speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
-
-
0下载：
speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
-
-
0下载：
基于GMM的说话人识别，搭建了一个说话人识别系统用于试验测试，验证了一些参数对性能
的影响，同时使用了多线程并行处理技术，以此缩短识别时间:并提出了一种放
大特征向量差距，变换特征向量在特征空间的分布来提升大容量语音库中说话人
识别率的方法。
-GMM-based speaker recognition, to build a speaker recognition system used for pilot testing to verify the performance i
-
-
0下载：
The short synopsis consists of the explanation for speaker recognition using gmm and mf-The short synopsis consists of the explanation for speaker recognition using gmm and mfcc
-
-
0下载：
The document consists of screenshot results for the project on speaker recognition using gmm and mf-The document consists of screenshot results for the project on speaker recognition using gmm and mfcc
-
-
0下载：
The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected fro
-
