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是一个语音识别的程序
- 是一个语音识别的程序，有LPCC，MFCC等的代码，最后用SVM进行分类-Is a voice recognition program, there LPCC, MFCC and other code, the final classification with SVM
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--km
- 这是一个很好的支持向量机工具箱，它可用于模式识别，图像识别，文字识别，语音识别和手写体识别等领域。-This is a very good support vector machine toolbox, it can be used for pattern recognition, image recognition, text recognition, speech recognition and handwriting recognition and other fields.
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
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
GMM-GMR-v1[1].2
- 这是一个GMM模型的语音识别代码 非常详细 而且实用。-This is a GMM model for speech recognition is very detailed and useful code.
MFCC-and-SVM
- 建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。-A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combina
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.
Tone-Recognition
- 调信息在汉语语音识别中具有非常重要的意义。采用支持向量机对连续汉语连续语音进行声调识别实 验，首先采用基于Teager能量算子和过零率的两级判别策略对连续语音进行浊音段提取，然后建立了适合于支持向 量机分类模型的等维声调特征向量。使用6个二类SVM模型对非特定人汉语普通话的4种声调进行分类识别，与 BP神经网络相比，支持向量杌具有更高的识别率。-Tone is an essential component for word formation in Chinese languages
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
xiao1svm
- 改进的育群算法，结合SVM用于语音识别,,识别率明显提高-Improved fertility swarm algorithm, combined with SVM for speech recognition
lanfang
- 考虑雨衰 阴影 和多径影响，完整的基于HMM的语音识别系统，包括最小二乘法、SVM、神经网络、1_k近邻法。- Consider shadow rain attenuation and multipath effects Complete HMM-based speech recognition system, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
svm
- SVM支持向量机算法做语音识别的详细仿真实现代码,需要自己准备语音库，依次训练出模板，包含附加调用的函数库在内，欢迎和做语音识别，说话人识别的朋友交流-SVM support vector machine algorithm to do the detailed simulation of voice recognition to achieve the code, you need to prepare their own voice library, followed by training
qiuheng-V5.7
- 实现典型相关分析，完整的基于HMM的语音识别系统，包括最小二乘法、SVM、神经网络、1_k近邻法。- Achieve canonical correlation analysis, Complete HMM-based speech recognition system, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
libsvm_1.4.5-3.bin.windows
- 支持向量机分类算法，模式识别，多分类，语音识别。(Classification, pattern recognition)
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)
SVM
- 语音情感识别分类，在中科大录制的语音情感数据库CASIA中来实现的(Speech emotion recognition and classification is implemented in CASIA, a speech emotion database recorded by China University of science and technology.)
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.)
语音情感识别
- 情感语音识别的基本环境是传统的机器学习方法，即使用特征参数有监督的训练模型，然后使用测试集进行识别。常用的、也比较简单的就是：支持向量机SVM。该识别网络性能较好，且学习资源较丰富，还有matlab的工具箱。需要下载工具包，设置路径添加到MATLAB中即可使用。