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说话人语音识别系统
- 这是使用matlab实现的说话人识别和确认系统。
MFCC.rar
- 噪声鲁棒性说话人识别语音高频加权MFCC提取各方面介绍,Noise robustness of speaker recognition, voice high-frequency weighted to introduce various aspects of MFCC extraction
VQ.rar
- 在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下,利用该说话人识别系统,对不同的人的1s~7s的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用说明: 1 训练 打开Matlab 使Current Directory为VQ所在的文件夹(比如:E:\vq) 在Command windows中输入 train( 1s\ ,7) 这是将1s中的wav文件进行特征提取并产生VQ码本, 在workspace中有个ans的文件保存为.m文件,比如7.
speaker recognition
- 这个是用Matlab写成的说话人识别演示程序。-Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification.-Currently, there are more than 20 classe
speeker
- 一个跟说话人识别相关的资料,非常适合入门,精彩不容错过呀-A speaker recognition with the relevant information is well suited to introduce the best of me not to be missed
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 helpful to those who are working on
text
- 在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下,利用该语音识别系统,对不同的人的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。-In the MATLAB environment VQ-based Speaker Recognition System. In real-time recording, the use of the voice recognition system, for different people to carry out voice
recogTest
- 说话人识别中,最后带测语音匹配阶段.利用DTW算法实现-Speaker recognition, the last swath of voice matching stage. The use of DTW algorithm
GAUSS
- Gray先生的大作,描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
fd4
- 说话人识别、声纹识别 MATLAB程序及清单-SPEAKERID
Y1303765
- 噪声环境下的说话人识别技术研究,论文。供研究语音识别的人员参考,学习。-Noise environments Speaker Recognition Technology, Thesis. Research on speech recognition for staff members to learn.
Kjunzhijulei
- 用于说话人识别初始化样本的聚类算法 调试成功-Speaker Recognition for initialization of the clustering algorithm samples
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
mfccandvc
- 文章介绍的说话人识别系统,采用能够反映人对语音的感知特性的9(:频率倒谱系数(9(: <+(=>(2/?8(’0+): 81(..-/-(20@,9<88)作为特征参数,同时考虑到特征参数各维分量对于不同说话人的区分程度,采用加权的办法进行矢 量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
hmm
- 基于语音信号工具箱的隐马尔科夫HMM模型的说话人识别,请联系lishicheng64@126.com-Speech signal based on HMM toolbox Hidden Markov Model speaker recognition, please contact lishicheng64@126.com
VQ_based_speaker_recognition
- 使用矢量量化的方法进行说话人识别,用matlab编写 -Vector quantization method using speech recognition, written with matlab
GMMspeakers
- 用高斯混合模型来实现说话人识别的源代码,识别效果挺好的-Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape
speaker
- 这个一个使用matlab编的说话人识别和确认系统-The matlab code that uses speaker identification and verification system
speechcode1
- 用Matlab仿真实现的说话人识别
shuohuaren
- LPCC、MFCC的参数提取,说话人识别的代码-LPCC, MFCC parameter extraction, speaker identification code