基于垃圾模型的维吾尔语关键词识别 |
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引用本文: | 丁玉忠,吾守尔·斯拉木,那斯尔江·吐尔逊. 基于垃圾模型的维吾尔语关键词识别[J]. 电脑与微电子技术, 2011, 0(12): 20-23 |
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作者姓名: | 丁玉忠 吾守尔·斯拉木 那斯尔江·吐尔逊 |
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作者单位: | [1]新疆大学信息科学与工程学院,乌鲁木齐830046 [2]新疆大学数学与系统科学学院,乌鲁木齐830046 |
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摘 要: | 关键词识别是语音识别中的一个重要研究方向,而维吾尔语的关键词识别研究刚刚开始.结合维吾尔语音节特点和考虑影响关键词识别因素,提出在HMM模型的基础上对非关键词建立垃圾模型的方法,来提高关键词的识别效率。
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关 键 词: | 隐马尔科夫模型 垃圾模型 维吾尔语 |
Uighur Keywords Recognition Based on Filler Model |
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Affiliation: | DING Yu-zhong , Wushour Silamu , Nasirjan Tursun ( 1. College of Information Science and Engineering, Xinjiang University, Urumqi 830046; 2. College of Mathematic and System Science, Xinjiang University, Urumqi 830046) |
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Abstract: | Keywords recognition is one of the most important research direction of speech recognition, but the research on Uyghur keywords recognition is just the beginning. Proposes the method of building filler based on HMM model for non-keywords to improve efficiency of the keywords recognition, considing the character of the Uyghur voice section and factors of keywords identi |
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Keywords: | HMM Filler Model Uyghur |
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