| 基于MCE训练算法的说话人辨认系统 |
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| 引用本文： | 王成儒,王金甲.基于MCE训练算法的说话人辨认系统[J].计算机工程,2003,29(13):105-106,114. |
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| 作者姓名： | 王成儒 王金甲 |
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| 作者单位： | 燕山大学信息工程学院,秦皇岛,066004 |
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| 摘 要： | 提出了一种基于最小分类错误准则的概率神经网络的训练算法。实验结果表明，该系统及其MCE学习算法在20个说话人辨认应用中利用5s清晰语音获得98．9％的辨认率，利用l5s电话语音获得86．2％的辨认率。
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| 关 键 词： | 说话人辨认 概率神经网络 最小分类错误 最小分类错误准则 |
| 文章编号： | 1000-3428(2003)13-0105-02 |
Efficient Training of MCE for Speaker Identification |
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| WANG Chengru,WANG Jinjia.Efficient Training of MCE for Speaker Identification[J].Computer Engineering,2003,29(13):105-106,114. |
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| Authors: | WANG Chengru WANG Jinjia |
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| Abstract: | This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion. Experimental results for speaker identification indicate that the system and its MCE training algorithm attain 98.9% identification accuracy using 5 second clean speech utterances and 86.2% accuracy using 15 second telephone speech utterances with a 20 speaker population. |
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| Keywords: | Speaker identification Probabilistic neural networks Minimum classification error |
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