搜索资源列表
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!
Genetic_Algorithm_and_Neural_Network_for_Face_Emo
- Genetic Algorithm and Neural Network for Face Emotion Recognition. A document is suitable for people who researching about facial expression Identification
SpontaneousEmotionalFacialExpressionDetection
- 三维人脸识别的经典文章，三维人脸表情引用次数极多的经典论文-Spontaneous Emotional Facial Expression Detection Index Terms—affective computing, facial expression, one-class classification, emotion recognition
Speechemotionrecognition
- 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!
Code
- Bimodal emotion recognition
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
optimisationemotion
- Speech emotion recognition using hmms
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
Acoustic-Emotion-Recognition-(2)
- This paper is based on acoustic emotion recognition.Emotion recognition means recognizing human s emotional state his/her s voice through features extracted their voice.In this paper nine popular s are explained.-This paper is based on acoustic emoti
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-master
- Emotion Recognition MAster File
Emotion-Recognition-RNN-master
- EMotion Recongition from speech using RNN