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语音情感识别系统,描述语音情感识别的代码程序-Speech emotion recognition system, describes the speech emotion recognition of Code program
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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
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Speech emotion recognition using hmms
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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
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汉语语音情感识别的研究。可以借鉴一下,与程序很好用-基于神经网络的汉语语音情感识别的研究。很好的描述了人工神经网络的方面-Neural Network Based Speech Emotion Recognition in Chinese studies. Good descr iption of the artificial neural network connection
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基于特定人情感的语音识别,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。内容很丰富-In this article, we have accomplished a system for emotion recognition of speech by establishing a database of speech with certain emotion by certain people analyzing emotion features and de
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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
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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
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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
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Speech emotion recognition using hmms
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emotion recognition using speech signals
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首先需要用户使用用户名和密码登录,然后可以实现特定人的情感识别-The first requires the user to use the username and password, and then can realize the emotion recognition of specific human
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Matlab Source Code for Emotion Recognition from Speech
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EMotion Recongition from speech using RNN
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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.)
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