| 改进Jaro-Winkler算法在迎宾机器人语音交互中的应用; Application of Improved Jaro-Winkler Distance in Speech Interaction of Reception Robot | |
| Wu LF(吴凌芬) ; Yang XY(杨小渊) ; Ye TJ(叶添杰) ; Liu B(刘冰) ; Wang TH(王太宏) | |
| 2015-03-15 | |
| 关键词 | Jaro-Winkler算法 迎宾机器人 语音交互 字符串匹配 Jaro-Winkler Distance Reception Robot Speech Interaction Strings Matching |
| 英文摘要 | 针对JArO-WInklEr算法在计算两个字符串的相似度时只考虑字符的换位数目,未考虑字符插入和删除编辑操作的问题,提出一种基于lEVEnSHTEIn算法改进JArO-WInklEr算法的方法。通过改进相似度的计算公式和调整关联系数Pd,实现JArO-WInklEr算法的改进,提高字符串匹配的准确度。基于内容丰富的本地文本数据库,将改进JArO-WInklEr算法应用于迎宾机器人语音交互中的字符串匹配,其正确率大于96%。测试结果表明,迎宾机器人能够语音交互更多的内容和快速地应答提问,并实现特定的迎宾动作。; When measuring the similarity of two strings, Jaro-Winkler distance only considers the number of transpositions, without considering the insertions and deletions.Aiming at this problem, proposes an improved Jaro-Winkler distance method based on the Levenshtein distance.Modifies the formula of similarity and adjusting the correlation coefficient of pd to improve Jaro-Winkler distance, and the accuracy of the strings matching is increased.Based on the local database with a large number of text strings, applies the improved Jaro-Winkler distance to achieve the strings matching in speech interaction of reception robot, and its accuracy is higher than 96%.Test results show that reception robot can realize more words and quickly reply to questions by speech interaction with specific welcome actions.; 国家自然科学基金(No.61376073) |
| 语种 | zh_CN |
| 内容类型 | 期刊论文 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/123212]  |
| 专题 | 信息技术－已发表论文 |
| 推荐引用方式 GB/T 7714 | 吴凌芬,杨小渊,叶添杰,等. 改进Jaro-Winkler算法在迎宾机器人语音交互中的应用, Application of Improved Jaro-Winkler Distance in Speech Interaction of Reception Robot[J],2015. |
| APA | 吴凌芬,杨小渊,叶添杰,刘冰,&王太宏.(2015).改进Jaro-Winkler算法在迎宾机器人语音交互中的应用.. |
| MLA | 吴凌芬,et al."改进Jaro-Winkler算法在迎宾机器人语音交互中的应用".(2015). |
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