| 元音识别的几种分类模型的比较与分析 |
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| 引用本文： | 陈志辉,吴敏敏.元音识别的几种分类模型的比较与分析[J].莆田学院学报,2012,19(5):62-65. |
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| 作者姓名： | 陈志辉 吴敏敏 |
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| 作者单位： | 莆田学院电子信息工程系,福建莆田,351100 |
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| 基金项目： | 福建省科技厅重大基金项目 |
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| 摘 要： | 根据元音数据处理方法和选取的特征,提出了三种基于统计学的模式分类方法:线性判别、二次判别和k-最近邻,并通过模型选择方法,对实际数据进行测试与比较,得出k-最近邻分类模式最为合适,同时提出进一步改进的思路。
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| 关 键 词： | 元音数据 分类方法 线性判别 二次判别 k-最近邻 |
Comparison and Analysis of Vowel Recognition Classification Models |
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| CHEN Zhi-hui,WU Min-min.Comparison and Analysis of Vowel Recognition Classification Models[J].journal of putian university,2012,19(5):62-65. |
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| Authors: | CHEN Zhi-hui WU Min-min |
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| Institution: | (Electronic & Information Engineering Department,Putian University,Putian Fujian 351100,China) |
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| Abstract: | According to the features of vowels data processing and selection,the article presented three classification methods of patterns based on statistics theory,such as linear discriminant,quadratic discriminant and k-nearest neighbor.And through the model selection method,actual data of tested and compared,it was concluded that k-nearest neighbor was the most suitable classification pattern but further improvement was still needed in this model. |
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| Keywords: | vowels data classification methods linear discriminant quadratic discriminant k-nearest neighbor |
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