One fuzzy retrieval algorithm for speech navigation system

Author

Sun, Yanqing ; Zhou, Yu ; Zhao, Qingwei ; Yan, Yonghong ; Wu, Xiao

Author_Institution

ThinkIT Speech Lab., Chinese Acad. of Sci., Beijing, China

fYear

2009

fDate

13-14 Dec. 2009

Firstpage

85

Lastpage

89

Abstract

In this paper, one fuzzy retrieval algorithm is designed to work with LVCSR in the speech navigation system. Inverted indexing as well as other searching skills are utilized to speed up the searching while keeping the performance. Several cell levels are tried instead of just using word. Easily reaching 90% sentence accuracy within normal database, this framework can also handle very large database, as many as millions, while preserving at least 70% accuracy in both Chinese and English.

Keywords

fuzzy set theory; indexing; information retrieval; natural language processing; speech recognition; very large databases; Chinese; English; LVCSR; fuzzy retrieval algorithm; inverted indexing; searching skills; sentence accuracy; speech navigation system; very large database; Biomedical engineering; Biomedical imaging; Cancer detection; Computed tomography; Fuzzy systems; Lungs; Navigation; Shape; Speech; Support vector machines; Fuzzy retrieval; Inverted indexing; LVCSR; speech navigation system;

fLanguage

English

Publisher

ieee

Conference_Titel

BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future

Conference_Location

Sanya

Print_ISBN

978-1-4244-4690-2

Electronic_ISBN

978-1-4244-4692-6

Type

conf

DOI

10.1109/FBIE.2009.5405786

Filename

5405786