| 基于音素的话者特定英语命令识别 |
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| 引用本文： | 贲俊,万旺根,余小清.基于音素的话者特定英语命令识别[J].上海大学学报(英文版),2003,7(2):163-167. |
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| 作者姓名： | 贲俊 万旺根 余小清 |
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| 作者单位： | SchoolofCommunicationandInformationEngineering，SchoolofCommunicationandInformationEngineering，SchoolofCommunicationandInformationEngineering ShanghaiUniversity，Shanghai200072，China，ShanghaiUniversity，Shanghai200072，China，MultimediaInnovationCenter，TheHongKongPolytechnicUniversity，HongKong，China，ShanghaiUniversity，Shanghai200072，China |
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| 基金项目： | ProjectsupportedbyNationalNaturalScienceFoundationofChina(GrantNo .60072031)andTheHongKongPolytechnicUniversity (GrantNo . T499) |
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| 摘 要： | 1 Introduction Sincethe 195 0s ,speechrecognitiontechnologies ,bothspeaker dependentandspeaker independent ,withsmallorlargevocabulary ,andusingisolatedorconnectedwords,orcontinuousspeech ,havedevel opedandbeenwidelyapplied .Recentlyithasbecomeadominanttechnologyforhuman machineinterface .Speechrecognitionisbasicallytreatedasaproblemofpatternmatching .Thegoalistotakeonepattern ,i .e .,thespeechsignal,andclassifyitasasequenceofpreviouslylearnedpatterns ,e.g .,wordsorsubwordunitssuchsphonems1…
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| 关 键 词： | 语音识别 英语识别 音素 隐式马尔可夫模型 VisualC＋＋ 模式匹配 |
| 收稿时间： | 4 June 2002 |
Phoneme based speaker-independent english command recognition |
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| Ben?Jun,Wan?Wang-Gen,Yu?Xiao-Qing.Phoneme based speaker-independent english command recognition[J].Journal of Shanghai University(English Edition),2003,7(2):163-167. |
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| Authors: | Ben Jun Wan Wang-Gen Yu Xiao-Qing |
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| Institution: | 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
2. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China;Multimedia Innovation Center, The Hong Kong Polytechnic University, Hong Kong, China |
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| Abstract: | In this paper we propose a new algorithm of phoneme based speaker independent English command recognition and develop a speaker independent English command recognition system. It accelerates the whole system development by using HTK (hide Markov toolkits) and Visual C based on the character'istics of speaker independent speech recognition. In recognition phase we combine the confidence measures with incomplete matching, which considerably improve the quality of recognition. The recognition accuracy is increased by 4.8% over complete matching without back end processing when the sige of vocabulary is more than 10. |
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| Keywords: | speech recognition confidence measure HTK (hide Markov toolkits) |
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