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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。
说话人识别
- 本文介绍了基于VQ的特定人孤立词语音识别系统，借助MATLAB工具，设计基于VQ码本训练程序和识别程序，识别特定人的语音。
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
vq
- 说话人识别的matlab实现，供大家参考-tell the speaker s voice
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
project2
- 线性预测法是语音处理中的核心技术，它在语音识别、合成、编码、说话人识别等方面都得到了成功应用。有的专家认为，进20年中语音处理技术的飞速发展与以线性预测为中心的信号处理技术是分不开的。简单来说，就是：一个语音的抽样能用过去若干语音抽样的线性组合来逼近。 -Linear prediction is the core voice processing technology, which in speech recognition, synthesis, coding, speaker recog
UnderdeterminedSeparationofInstaneousSpeechMixture
- 详细描述了关于几个同时说话人语音分离的情况，其中包括了原代码和测试语音，测试结果表明分离效果很好，能够区分不同人说话的语音，明显提高语音识别率。其中的参考论文在readme中。-A detailed descr iption about several while speaking voice separate conditions, including the original code and test speech, test results show that the effect is
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
099999998
- 这是一个说话人识别的程序，其中有十个说话人，识别率可达到90 。执行时，执行“laststep.m”-This is a speech recognition program, including dozens of speaker recognition rate can reach 90 . Implementation, implementation " laststep.m"
5646554
- 单字音特征提取的说话人识别方法Word sound feature extraction method for speaker recognition-Word sound feature extraction method for speaker recognition
speechcode1
- 用Matlab仿真实现的说话人识别
matlab-FFT
- 用matlab快速实现说话人识别中FFT，欢迎大家参考，用处很大哦-Fast Implementation matlab FFT Speaker Recognition
基于matlab的说话人识别系统
- 本文件包含基于matlab平台的说话人识别系统完整代码程序，并包含GUI操控界面
45678
- 基于MATLAB实现的说话人识别程序(声纹识别)，分别用bp、pnn、som、rbf、lvq等算法(Speaker recognition program based on MATLAB (voice recognition), respectively BP, PNN, SOM, RBF, LVQ algorithm)
voiceRecognition--dtw
- 语音信号说话人识别， 运用DTW算法进行说话人识别(Speaker recognition by speech signal and speaker recognition using DTW algorithm)
107551700916第九次作业
- 语音处理说话人识别 人工智能 ，实现基于VQ和GMM的说话人识别系统，通过增减训练数据或调整系统参数，对比分析一下基于VQ和GMM的说话人识别系统性能差别。(Speech processing speaker recognition, artificial intelligence realization of speaker recognition system based on VQ and GMM, through the training data increase or decrea
基于高斯混合模型（GMM）的说话人识别matlab
- 基于GMM的话者识别matlab程序，训练运行train.m,识别运行recog.m(speaker identification system based on GMM)
matlab实现VQ说话人识别系统
- 基于Matlab简单的语音识别系统，能够通过样本训练得到最后结果。(Simple speech recognition system based on Matlab can get the final result through sample training.)
speaker_recognition
- 此程序是基于VQ的说话人识别matlab程序，制作GUI界面具有可操作性，子程序可用于大家参考，可以有不足地方(This program is based on VQ speaker recognition matlab program, making GUI interface is operable, subroutines can be used for your reference.)
说话人识别系统(需要录音)(可以运行)
- 这个代码是基于matlab开发的，能够实现语音说话人识别的代码(This code is based on Python and can realize speech recognition.)