Description: 语音情感识别的系统的基本界面，包含了语音信号预处理和语音特征提取和语音情感的识别-Speech Emotion Recognition System s basic interface, includes a speech signal pre-processing and voice feature extraction and voice emotion recognition Platform: |
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Author:shiying |
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Description: 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 description of the artificial neural network connection Platform: |
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Author:啊 柄 |
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Description: 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 focus is on speech recognition field. In our everyday lives there are many forms of communication, for instance: body language, textual language, pictorial language and speech, etc. However amongst those forms speech is always regarded as the most powerful form because of its rich dimensions character. Except for the speech text (words), the rich dimensions also refer as the gender, attitude, emotion, health situation and identity of a speaker. Such information is very important for an effective communication. From the signal processing point of view, speech can be characterized in terms of the signal carrying message information. The waveform could be one of the representations of speech, and this kind of signal has been most useful in practical applications. Platform: |
Size: 3072 |
Author:kinny garg |
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Description: 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 you can see there is access to the data distribution is normal, because those with the EM estimated GMM parameters, the general assumption we get the data is incomplete (that is, assuming we see the distribution of the data distribution is not real, it is part of the operation at the time that is lost or hidden data is called " fill" on the) Platform: |
Size: 11264 |
Author:张忠顺 |
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Description: 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 Platform: |
Size: 8156160 |
Author:edwin |
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Description: 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语言表达中的情感是合适的。
关键词——BP模糊网络；主成分分析法；情感控制器-en_Speech Emotion Recognition Based on Principal Component Analysis and Back Propagation Neural Network Platform: |
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Author:edwin |
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Description: 介绍了语音情感识别系统的组成, 重点对情感特征和识别算法的研究现状进行了综述, 分析了主
要的语音情感特征, 阐述了代表性的语音情感识别算法以及混合模型, 并对其进行了分析比较。最后, 指出了语音情感识别技术的可能发展趋势-Speech emotion recognition system composed Research focus on emotional characteristics and recognition algorithms are reviewed, the analysis of the main voice emotional characteristics of a representative of the speech emotion recognition algorithm as well as hybrid model and its analysis comparison. Finally, it is pointed out that the speech emotion recognition technology possible trends Platform: |
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Author:wll |
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Description: 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. Platform: |
Size: 805888 |
Author:jolin |
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Search - Emotion Recognition speech