DocumentCode
3698657
Title
The extended longest common substring algorithm for spoken document retrieval
Author
Dmitriy Prozorov;Alexandra Yashina
Author_Institution
Vyatka State University, Kirov, Russia
fYear
2015
Firstpage
88
Lastpage
90
Abstract
The paper considers the spoken document retrieval problem. The proposed method uses a length of the longest common substring (LCS) algorithm for detection of query words. This method based on phoneme recognition of a spoken document. Also this method is compared with a text retrieval methods based on a vector space model. Use of a length of LCS and phoneme recognition improves retrieval effectiveness.
Keywords
"Speech recognition","Hidden Markov models","Speech","Vocabulary","Text recognition","Weight measurement"
Publisher
ieee
Conference_Titel
Application of Information and Communication Technologies (AICT), 2015 9th International Conference on
Print_ISBN
978-1-4673-6855-1
Type
conf
DOI
10.1109/ICAICT.2015.7338523
Filename
7338523
Link To Document