Application of Improved Jaro-Winkler Distance in Speech Interaction of Reception Robot
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.
NETL
NSTL
万方数据
维普
