| 引用本文: | 唐朝京,吴自强,王跃科,等.一种基于改进的SEVQ 匹配算法的汉语全音节语音识别系统.[J].国防科技大学学报,1997,19(3):39-43 ，60.[点击复制] |
| Tang Chaojing,Wu Ziqiang,Wang Yaoke,et al.A Whole-Syllable Chinese Speech Recognition System Based on Improved SEVQ Matching Algorithm[J].Journal of National University of Defense Technology,1997,19(3):39-43 ，60[点击复制] |
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| 一种基于改进的SEVQ 匹配算法的汉语全音节语音识别系统 |
| 唐朝京, 吴自强, 王跃科, 张南, 周代英, 王成友 |
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(国防科技大学 电子技术系 湖南 长沙 410073)
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| 摘要: |
| 本文全面介绍了一种采用改进的SEVQ 匹配算法的特定人汉语语音识别系统, 具体描述了系统总体方案、系统参数的选取策略、各种识别预处理所用方法及语音模式匹配原理和方法。系统的实时识别率超过93%。 |
| 关键词: 语音识别, 模式匹配, 信号处理 |
| DOI： |
| 投稿日期：1996-12-25 |
| 基金项目: |
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| A Whole-Syllable Chinese Speech Recognition System Based on Improved SEVQ Matching Algorithm |
| Tang Chaojing, Wu Ziqiang, Wang Yaoke, Zhang Nan, Zhou Daiying, Wang Chengyou |
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(Department of Electronic Technology, NUDT, Changsha, 410073)
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| Abstract: |
| A speaker-dependent Chinese speech recognition system based on improved SEVQ matching algorithm is presented. The overall plan of the system, the choosing method of the system's parameters、methods of recognition preprocessing、principles and methods of speech mode matching are described particularly. The system's real-time recognition rate is over 93%. |
| Keywords: speech recognition, mode matching, signal processing |
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