| 一种改进的FSVM语音情感识别算法 |
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| 引用本文： | 邢玉娟,李恒杰,张成文.一种改进的FSVM语音情感识别算法[J].重庆科技学院学报(自然科学版),2012,14(5):140-142. |
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| 作者姓名： | 邢玉娟 李恒杰 张成文 |
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| 作者单位： | 甘肃联合大学,兰州,730000 |
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| 基金项目： | 甘肃省教育厅基金项目(1113-01) |
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| 摘 要： | 针对语音特征参数对某类情感具有不确定性的问题,提出一种基于典型相关性分析的改进模糊支持向量机算法,应用于语音情感识别.采用典型相关性分析方法对特征向量进行降维,得到样本的约简向量集,在此约简向量集上建立模糊支持向量机模型判定情感类型.仿真实验结果表明,该方法相比于传统支持向量机法和模糊支持向量‘机法具有较高的识别准确率.
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| 关 键 词： | 典型相关性分析 模糊支持向量机 语音情感识别 支持向量机 |
Speech Emotion Recognition Based on Improved Fuzzy Support Vector Machine |
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| XING Yujuan
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LI Hengjie
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ZHANG Chengwen.Speech Emotion Recognition Based on Improved Fuzzy Support Vector Machine[J].Journal of Chongqing University of Science and Technology:Natural Science Edition,2012,14(5):140-142. |
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| Authors: | XING Yujuan LI Hengjie ZHANG Chengwen |
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| Affiliation: | (Gansu Lianhe University,Lanzhou 730000) |
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| Abstract: | An improved fuzzy support vector machine algorithm is proposed in this paper in order to solve the non-determinacy of speech feature parameter.Firstly,canonical correlation analysis is utilized to reduce the dimension of feature vectors.And then,fuzzy support machine is trained on the reduced set to make final decision.The experiment results show that,our method has superior classification performance compared with SVM and FSVM. |
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| Keywords: | canonical correlation analysis fuzzy support vector machine speech emotion recognition support vector machine |
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