[1]路建伟,丁庆海,朱雪平,等.战场环境下的军事命令识别技术[J].南京理工大学学报(自然科学版),2002,(04):438-441.
　LuJianwei DingQinghai ZhuXueping XiongGang.The Military Order Recognition Technology in Battlefield Environment[J].Journal of Nanjing University of Science and Technology,2002,(04):438-441.
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战场环境下的军事命令识别技术()
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2002年04期
页码:
438-441
栏目:
出版日期:
2002-08-30

文章信息/Info

Title:
The Military Order Recognition Technology in Battlefield Environment
作者:
路建伟; 丁庆海1; 朱雪平; 熊刚2
郑州防空兵学院科研部, 郑州450052
1 空军第八研究所, 北京100076
2 南京理工大学电子工程与光电技术学院, 南京210094
Author(s):
LuJianwei DingQinghai ① ZhuXueping XiongGang ②
Department of Science Research,Zhengzhou Air Defence Force Academy,Zhengzhou 450052)
关键词:
军事口令;  并行模型组合算法;  语音识别
Keywords:
military order;  parallel model combinat ion;  combinat ions method;  speech recognit ion
分类号:
E96
摘要:
由于战场使用环境的特殊性 ,环境噪声成为军事命令语音识别技术实用化的一个主要障碍。该文利用模型补偿技术 ,对噪声环境下的军事命令语音识别进行探索。重点研究噪声环境下的并行模型组合算法 (PMC) ,详细论述其原理以及在噪声环境下的语音识别中的应用。实验使用了 4 8个高炮射击口令 ,分别在 3种不同噪声、不同信噪比条件下对该方法进行识别率测试 ,结果表明 ,该方法具有一定的实际应用价值
Abstract:
Because of the part icularity in bat t lefield environment , environmental noise is a main obstruction in the military order recog nit ion technology. This paper addresses a method of automat ic speech recog nit ion in the presence of interfering noise ) parallel model combination ( PMC) . The theory of PMC method is discussed and used in noisy speech recognition in detail. And test it in three different kinds of noise and SNR using 48 ant iaircraf t fire command order. T he result show s that this method is of great pract ical use.

参考文献/References:

1 Gales M J F, Young S. An improved approach to the hidden Markov model decomposition of speech and noise. Proceedings of Inter net Comfer ence on Acoucstics Speech and Sig nal Procession. Washington: IEEE USA, 1992. 233~ 236
2 Var ga A P, Moore R K. Hidden Mar cov model decomposition of speech and noise. Proceedings of Internet Comfer ence on Acoucstics Speech and Signal Pr ocession. Washington: IEEE USA,19901845~ 848
3 Gales M J F , Young S. Cepstral parameter compensation for HMM recog nition in noise. Speech Communication, 1993, 12: 231~ 239
4 Gales M J F , Young S. HMM recognition in noise using parallel model combination. Pr oceedings of Eurospeech. Berth: Electrical Publishing House, 1993
5 Martin F, Shikano K, Minami Y. Recognition of no isy speech by composition of hidden mar kov models. Proceedings of Eur ospeech. Ber th: Electrical Publishing House, 1993. 1 031~ 1 034
6 杨行峻, 迟惠开. 语音信号数字处理. 北京: 电子工业出版社, 1995

备注/Memo

备注/Memo:
路建伟 男 37 岁 副教授
更新日期/Last Update: 2002-08-30