| 强噪声环境下汉语语音识别的模糊分类算法 |
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| 引用本文： | 苏广川.强噪声环境下汉语语音识别的模糊分类算法[J].北京理工大学学报,1997,17(6):686-690. |
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| 作者姓名： | 苏广川 |
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| 作者单位： | 北京理工大学电子工程系 |
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| 摘 要： | 论述了强背景噪声环境下利用模糊分类算法对大词汇量的汉语语音进行了分类识别，根据噪声的汉语语音特点，采用有边界的交叉分类和无边界的模糊分类相结合的措施，较成功地解决了强噪声环境下的汉语语音分类。
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| 关 键 词： | 强噪声环境 汉语语音识别 模糊分类法 语音识别 |
Fuzzy Classified Algorithms Applied to the Speech Recognition in a Strong Noise Environment |
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| Su Guangchuan.Fuzzy Classified Algorithms Applied to the Speech Recognition in a Strong Noise Environment[J].Journal of Beijing Institute of Technology(Natural Science Edition),1997,17(6):686-690. |
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| Authors: | Su Guangchuan |
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| Abstract: | A method utilizing fuzzy classified algorithms for the speech recognition of the Chinese language with a large vocabulary in a strong noise environment was proposed. Accoding to the phonetic characteristics of the Chinese language, the boundary crossing classified and the boundaryless fuzzy classified algorithems were successfully used in classifying the Chinese language with a large vocabulary in a strong niose environment. Good results were achieved in applying these algorithms to speech recognition system.The correctly recognizing rate is 95% of 500 Chinese phrases under test in the 75dB noise enviroment. |
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| Keywords: | strong noise environment Chinese speech recognition fuzzy classifying methods boundary crossing classifying method bounderyless fuzzy classifying method |
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