| 基于非特定发音人拉祜语孤立词语音识别研究 |
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| 引用本文： | 王米利,佘玉梅,苏洁,刘敬凤,潘文林.基于非特定发音人拉祜语孤立词语音识别研究[J].云南民族大学学报(自然科学版),2015,24(4):337-340. |
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| 作者姓名： | 王米利 佘玉梅 苏洁 刘敬凤 潘文林 |
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| 作者单位： | 1. 云南民族大学数学与计算机科学学院,云南昆明,650500
2. 云南民族大学数学与计算机科学学院,云南昆明650500;云南民族大学云南省高校物联网应用技术重点实验室,云南昆明650500 |
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| 基金项目： | 云南省教育厅科学研究基金，云南省自然科学基金 |
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| 摘 要： | 选用200个拉祜语常用词,以词为识别单元,利用语音识别工具箱HTK开展非特定人拉祜语孤立词的语音识别研究.研究发现:特定发音人的识别率比较稳定,针对非特定发音孤立词,通过增加模型的混合高斯数目,其识别率得到显著提高,使得识别正确率保持在99%以内,为拉祜语孤立词识别提供了有效方法.
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| 关 键 词： | 语音识别 拉祜语 孤立词 非特定人 高斯混合模型 |
Research on the speech recognition of the isolated words in the Lahu language based on speaker independence |
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| WANG Mi-li,SHE Yu-mei,SU Jie,LIU Jing-feng,PAN Wen-lin.Research on the speech recognition of the isolated words in the Lahu language based on speaker independence[J].Journal of Yunnan Nationalities University:Natural Sciences Edition,2015,24(4):337-340. |
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| Authors: | WANG Mi-li SHE Yu-mei SU Jie LIU Jing-feng PAN Wen-lin |
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| Institution: | ,School of Mathematics and Computer Science,Yunnan Minzu University,Key Laboratory of IOT Application Technology of Universities in Yunnan Province,Yunnan Minzu University |
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| Abstract: | This research selects 200 common Luhuwords with each as the recognition unit,and uses voice recognition toolkit HTK for the study of the speech recognition of the isolated words of speaker dependent Luhus. The study reveals that speaker dependent Luhus have a stable recognition rate; as to the speaker independence,it increases the number in the Gaussian mixture model,and its recognition rate is increased significantly with the recognition accuracy within 99%,which provides an effective method for the speech recognition of the isolated words in the Lahu language. |
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| Keywords: | speech recognition Lahu language isolated word speaker independent Gaussian mixture model |
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