Description: 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
-in MATLAB environment based VQ Speaker Recognition System. Real-time recording in the circumstances, the speaker recognition system, the different people of one's voice-7s for identification. Implementation and text-independent speaker recognition automatic real-time identification. Use : Matlab opened a training Current Directory to make VQ where the folder (for example, : E : \\ vq) in the Command windows input Platform: |
Size: 707106 |
Author:annya |
Hits:
Description: 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
-in MATLAB environment based VQ Speaker Recognition System. Real-time recording in the circumstances, the speaker recognition system, the different people of one's voice-7s for identification. Implementation and text-independent speaker recognition automatic real-time identification. Use : Matlab opened a training Current Directory to make VQ where the folder (for example, : E : \ vq) in the Command windows input Platform: |
Size: 706560 |
Author:annya |
Hits:
Description: 摘要 : 在 MAT LAB环境下利用语音工具箱 Voice Box实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统。在
实时录音的情况下 , 利用该语音识别系统 , 不同的人对 20条 2～8个字的语音命令进行识别 , 准确率可达到 95 ％ , 识别时间
115～3 s , 实现了小词汇量连续语音的非特定人的实时识别。-Abstract: In the circumstances the use of MAT LAB toolbox Voice Box Voice realize implied probability density based on continuous Markov model of Chinese speech recognition system. In real-time recording, the use of the voice recognition systems, different people on the 20 2 ~ 8-word voice command recognition accuracy rate can reach 95 percent, identify the time 115 ~ 3 s, the realization of a small vocabulary continuous voice of the non-specific real-time identification of people. Platform: |
Size: 208896 |
Author:tz1985 |
Hits:
Description: 常用的说话人识别方法有模板匹配法、统计建模法、联接主义法(即人工神经网络实现)。考虑到数据量、实时性以及识别率的问题，采用基于矢量量化和隐马尔可夫模型(HMM)相结合的方法。
说话人识别的系统主要由语音特征矢量提取单元(前端处理)、训练单元、识别单元和后处理单元组成，
-Commonly used methods of speaker recognition template matching method, statistical modeling method, and connection method (ie, artificial neural networks). Taking into account the amount of data, real-time as well as the recognition rate of the problem, based on vector quantization and Hidden Markov Model (HMM) method of combining. Speaker recognition system mainly by the voice feature vector extraction unit (front-end treatment), training modules, identification and post-treatment unit modules, Platform: |
Size: 64512 |
Author:孙丽 |
Hits:
Description: 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 recognition. Implementation of automatic text-independent speaker verification of real-time identification. Platform: |
Size: 36864 |
Author:candy |
Hits:
Description: 最小二乘法在系统实时辨识中应用，对时变系统进行辨识-Least-squares method in the application of real-time identification of time-varying system identification Platform: |
Size: 1024 |
Author:ALPHA |
Hits:
Description: 智能图像/视频处理中，复杂背景环境（比如室外环境、机场、车站等）下，人脸识别的第一步是人脸的检测。它的精确度直接影响到后期识别的结果。不过，领域内的科学家们基本上很难有足够的精力和时间开发优化的C++代码，使其用于商业用途，而一般都是只在Matlab中进行模拟。
本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。文章中的分类器的训练数据来自与我的 webcam图像，它们被采集于不同时间，不同光照，不同背景环境下，它几乎可以实时地检测出我（的脸：）。训练的非人脸数据来自对不同背景的采集，用的是同一个webcam。被提取出的人脸区域，已经经过下面的处理：高斯滤波，直方图均衡化。
如果你需要更精确的结果，请从internet上下载更多不同的人脸集合，然后从新训练分类器。和我的库中一样尺寸的公共库是CBCL，其库超过100MB，所以，请大家自己下载楼-Intelligent image/video processing, complex background environment (such as an outdoor environment, airports, stations, etc.), the first step is the recognition of face detection. It directly affects the accuracy of the latter part of the identification results. However, scientists in the field are basically difficult to have enough energy and time to develop optimized C++ code to be used for commercial purposes, and are generally only be simulated in Matlab. The purpose of this paper is to provide an optimized SSE my development, C++ library for face detection, you can immediately use it for your video surveillance system. Face article classifier training data with my webcam images, which are collected at different times, in different lighting, different background environment, it is almost real-time detection of me (a :). Training of non-face data collection different backgrounds, with the same webcam. Was extracted face region, has been subjected to the following treatment: Gaussi Platform: |
Size: 15348736 |
Author:周文活 |
Hits:
Description: 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- MATLAB environment based VQ Speaker Recognition System. Real-time recording in the circumstances, the speaker recognition system, the different people of one s voice-7s for identification. Implementation and text-independent speaker recognition automatic real-time identification. Use : Matlab opened a training Current Directory to make VQ where the folder (for example, : E : \ vq) in the Command windows input Platform: |
Size: 706560 |
Author:我去 |
Hits:
Search - real time system identification matlab