| 基于3维空间Viterbi算法的汉语连续语音识别方法 |
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| 引用本文： | 赵力,邹采荣,吴镇扬.基于3维空间Viterbi算法的汉语连续语音识别方法[J].电子学报,2000,28(7):67-69,58. |
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| 作者姓名： | 赵力 邹采荣 吴镇扬 |
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| 作者单位： | 东南大学无线电工程系,南京,210096 |
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| 基金项目： | 国家自然科学基金资助课题 |
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| 摘 要： | 本文提出了基于３维空间Ｖｉｔｅｒｂｉ算法的汉语连续语音识别方法。本方法采用６０个音素单位的隐马尔可大模型（ＨＭＭ）和８个声调单位的ＨＭＭ作为识别用基元模型。音素基元模型和声调基元模型的识别结果的统合，采用音素单位的ＨＭＭ状态，声调单位的ＨＭＭ状态和时间的３维空间Ｖｉｔｅｒｂｉ算法来实现。
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| 关 键 词： | 汉语连续语音识别 三维空间 Viterbi算法 |
Recognition of Chinese Continuous Speech Based on 3-Dimension Viterbi Search |
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| ZHAO Li,ZOU Cai-rong,WU Zhen-yang.Recognition of Chinese Continuous Speech Based on 3-Dimension Viterbi Search[J].Acta Electronica Sinica,2000,28(7):67-69,58. |
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| Authors: | ZHAO Li ZOU Cai-rong WU Zhen-yang |
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| Abstract: | This paper presents a recognition method of Chinese continuous speech,in which p honetic and prosodic features are integrated in terms of 3-Dimension Viterbi se arch.The phonetic information is modeled by 60 phonemic HMMs and the prosodic in formation by 8 tone HMMs.Both recognitions are synchronized based on 3-Dimensio n Viterbi search.A frame-synchronous parsing algorithm for CFG based on a top- down strategy is used for parsing processing.The task is related to the hotel re servation process,of which the perplexity is 27 3.For 1070 utterances produced by each of ten speakers,the average sentence recognition rate was 94 4%. |
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| Keywords: | recognition of Chinese continuous speech phonemic HMM tone HMM 3-Dimension Vite rbi search |
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