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DTW
- 基于DTW的语音情感识别！运行环境MATLAB!-Speech Emotion Recognition Based on DTW! Operating environment MATLAB!
qqhelp
- 用VB写的QQ自动回复程序，其中对话内容可由用户根据自己的言语习惯自行在目录中的文本文件中添加-Using VB to write the QQ automated response procedures, in which dialogue can be a user according to their own speech habits of their own in the directory to add a text file
Scrap
- The speech signal contains rich messages, and three main recognition fields from speech signal, which are of most interest and have been studied for several decades, are speech recognition, language recognition and speaker recognition. In this the fo
Speechemotionrecognition
- paper for speech emotion recognition
ACOMPARISONOFCLASSIFIERSFORDETECTINGEMOTIONFROMSP
- paper for speech emotion recognition
SpeechemotionrecognitionSVM
- paper for speech emotion recognition
Whisper
- 毕业设计源码！关于语音情感识别的！希望对大家有用！-Graduation source! Emotion recognition of speech! Hope to be useful!
EmotionRecognition
- Speech emotion recognition using hmms
enfe
- speech emotion recognition feature extraction
speech-emotion-recognition-system
- gmm模型下的语音情感识别系统，GMM只是一个数学模型，只是对数据形态的拟和，但是和你所看到的数据分布存在出入也是正常的，因为用EM估计GMM的那些参数时，一般假设我们所得到的数据是不完备的（也就是说假设我们看到的数据分布不是真正的分布，它在运算时把那部分丢失或者叫隐藏的数据“补”上了）-gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but
EMOTION-RECOGNITION-OF-SPEECH
- 特定人语音情感识别系统 关键词：语音信号，情感特征，情感识别 含论文、源代码、实验数据等- EMOTION RECOGNITION OF SPEECH BASED ON MATLAB Keywords：Speech Signal，Emotional Feature，Emotion Recognition
speech-emotion-recognition
- 基于BP神经网络的语音情感识别系统 神经网络是近年来信息科学、脑科学、神经心理学等诸多学科共同关注和研究的热点。由于其具有良好的抽象分类特性,现已应用于语音识别系统的研究和开发,并成为解决识别相关问题的有效工具。文章在讲述语音识别过程的基础上重点讨论利用BP神经网络对语音进行识别,用MATLAB完成对神经网络的训练和测试,并获得满意的结果。-Based on the BP neural network speech emotion recognition system
Speech-Emotion-Recognition
- 基于主成分分析法和反向传输神经网络的语音情感识别 摘要——语音信号中包含着丰富的情感信息，尤其是语义信息。快乐、愤怒、厌恶、恐惧、悲伤，这五种基本情感是经过一个受认可的框架讨论和公认的，这个框架包括主成分分析法和BP神经网络。通过PCA从43种候选参数中筛选出11种参数作为确定某种特定的情感类别的标准。实验采用两种神经网络模型，One Class One Network 和 All Class One Network，并进行比较。实验结果表明，其可靠性达52 ~62 ，这说明用这种框架来识别
LPMCC-Speach-Emotion-Recognition
- 基于LPMCC的语音识别系统实现 语音识别可实现人机交互和语音控制，在X-业控制、消费电子等领域都有广泛应用。结合人发音的生理 结构的特点，使用LPMCC(LPC倒谱美尔变换)作为特征向量，采用动态规划算法作为核心识别算法，在TMS320VC5402芯片上实现了特定人、孤立词的高性能实时识别系统。-Speech Recognition System Based On LPMCC Speech recognition can achieve human—computer intera
optimisationemotion
- Speech emotion recognition using hmms
speech-emotion
- Speech Emotion Recognition: Comparison of Speech Segmentation Approaches -Recognition of emotional states carried in speech, is of a great interest in modern human computer interaction developments.
speech-emotion-recognition
- 这是一篇2014年最新的语音情感识别的研究综述，非常权威，我自己就是看这篇文章来做研究的。-It is a synthesis of the latest research in a speech emotion recognition in 2014. It is very authoritative. I was reading this article to do research.
speech-emotion-recognition
- 过特定人语音情感数据库的建立；语音情感特征提取；语音情感分类器的设计，完成了一个特定人语音情感识别的初步系统。对于单个特定人，可以识别平静、悲伤、愤怒、惊讶、高兴5种情感，除愤怒和高兴之间混淆程度相对较大之外，各类之间区分特性良好，平均分类正确率为93.7 。对于三个特定人组成的特定人群，可以识别平静、愤怒、悲伤3种情感，各类之间区分特性良好，平均分类正确率为94.4 。其中分类器采用混合高斯分布模型。-The system of speech emotion recognition
Automatic-Emotion-Recognition-by-the-Speech-Signa
- This paper is based on emotion recognition of speech signals. Recognizing person s emotional state is an important task.
Emotion-Recognition-RNN-master
- EMotion Recongition from speech using RNN