DocumentCode :
3377931
Title :
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
Link To Document :
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