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面向大词汇量的维吾尔语连续语音识别研究
引用本文:努尔麦麦提·尤鲁瓦斯,吾守尔·斯拉木.面向大词汇量的维吾尔语连续语音识别研究[J].计算机工程与应用,2013,49(9):115-119.
作者姓名:努尔麦麦提·尤鲁瓦斯  吾守尔·斯拉木
作者单位:新疆大学 信息科学与工程学院,乌鲁木齐 830046
摘    要:近年来大词汇量连续语音识别技术得到了迅速的发展,国内外研究机构加大了对汉语和英语语音识别技术的研究,然而,维吾尔语语音识别技术的研究工作最近才起步。建立了面向大词汇量的维吾尔语语音语料库,研究了维吾尔语声学模型和语言模型建模技术、解码技术,进行了面向大词汇量的维吾尔语连续语音识别实验。对维吾尔语大词汇量连续语音识别技术进一步发展中存在的问题进行了讨论。

关 键 词:维吾尔语  语音语料库  大词汇  识别技术  

Research on large vocabulary continuous speech recognition for Uyghur
Nurmemet YOLWAS,Wushour SILAMU.Research on large vocabulary continuous speech recognition for Uyghur[J].Computer Engineering and Applications,2013,49(9):115-119.
Authors:Nurmemet YOLWAS  Wushour SILAMU
Affiliation:College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
Abstract:The technology of Large Vocabulary Continuous Speech Recognition(LVCSR) has developed quickly, and many scientific institutions have reinforced the speech recognition research on the Mandarin Chinese and English. However, the study of Uyghur speech recognition technology has started recently. This paper introduces the research on main aspect of Uyghur LVCSR system, such as construction of Uyghur speech corpus, acoustic and language modeling techniques, decoding techniques, and performed experiments for Uyghur LVCSR. At the end, the issues affecting Uyghur LVCSR system are discussed in detail.
Keywords:Uyghur language  speech corpus  large vocabulary  recognition technology  
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