搜索资源列表
speaker-recognition--training
- 这个是基于SVM的说话人识别的训练训练过程，对于说话人识别很重要。-This procedure is based SVM for speaker verification training, which is so important for speaker recognition.
1004
- 介绍基于SVM模型的语音识别方法的处理与研究，通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.
svm
- 支持向量机学习算法，主要用于识别，最新的识别算法-Support vector machine learning algorithm, mainly used to identify the latest recognition algorithm
svm
- 支持向量机算法java编程，主要用于识别-Support Vector Machine java programming, mainly used for identification
svm
- MATLAB中应用支持向量肌（SVN）神经网络对模式识别处理-MATLAB Application of Support Vector muscle (SVN) neural network for pattern recognition processing
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
SVM
- SVM分类器，针对语音信号的分类识别应用。内容非常多，大家可以筛选着利用。-SVMclassification
LS
- 试验模态分析的时域识别方法的一种，可以识别出信号的模态参数，固有频率阻尼比振型系数，-Experimental modal analysis of a time-domain identification method that can identify the signal modal parameters, natural frequency mode of vibration damping ratio coefficient,
svm
- 本程序为EMD-HHT-M源代码，供大家交流学习，语音识别专用代码-This program is EMD-HHT-M source code for all to share learning, speech recognition-specific code
mfccPSVM
- 本实例程序是基于matlab的语音识别程序，通过提取传统的MFCC特征集，采用当前流行的SVM分类器，作为对比实验是一个不错的选择。-This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice.
svm-GUI
- 能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
svmplot
- 支持向量机的画图程序。能够很好的将识别到的不同类型分量，可视化。-Support vector machine (SVM) drawing program. Can very good will to identify the different types of component, visualization.
svm-based-tone-recognition
- 基于svm分类器的汉语声调识别，实现了对声调四声的识别，纯净语音识别率100 ，噪声环境下识别率90 -The svm classifier based Chinese tone recognition, the four tones of tone recognition, the pure voice recognition rate of 100 , 90 recognition rate in noisy environments
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
SVM-judging-whether-wearing-glasses-
- 人脸识别，基于svm算法检测人脸是否配戴眼镜-Face recognition, face detection algorithm based on svm whether to wear glasses
gabor-svm
- 基于小波分析的支持向量机算法，可实现图像识别-The support vector machine (SVM) algorithm based on wavelet analysis program
svm
- SVM神经网络的数据分类预测-葡萄酒种类识别，能够很好地预测葡萄酒种类。-SVM neural network data classification prediction- wine species identification, can be a good predictor of wine types.
rebuilt.HumanTimbre_recognition-master
- 利用mfcc特性进行语音识别，分类算法为svm。(Speech recognition using MFCC characteristics)
speech_emotion_experiment
- 基于SVM的语音情感识别，可以从用户的话语中识别愤怒、开心、快乐、悲伤等情感(SVM-based speech emotion recognition, which can identify emotions such as anger, happiness, happiness, sadness, etc. from the user's words.)
mfcc_svm
- mfcc特征提取法 以及svm训练 可以使用(MFCC feature extraction method and SVM training can be used)