DocumentCode
2793488
Title
The application of improved Apriori algorithm in continuous Speech Recognition
Author
Zhou, Dexin ; Kang, Jiacang ; Fan, Zhicheng ; Zhang, Wenlin
Author_Institution
Aeronaut. Autom. Coll., Civil Aviation Univ. of China, Tianjin, China
fYear
2011
fDate
15-17 July 2011
Firstpage
756
Lastpage
758
Abstract
In continuous Speech Recognition ,for the problem of recognizing speaker´s voice completely and accurately is difficult ,and could not understand the meaning even if the machine could identify the voice completely .The improved algorithm is proposed innovatively based on association logic Apriori algorithm .The algorithm divide database into correlated partitions and locate the voice condition in certain association rules specifically according to the character of input voice signal ,thus the efficiency of continuous voice identification and the humanistic of machine is improved ,the drawback of research only on acoustic model is broken.
Keywords
speaker recognition; association logic apriori algorithm; continuous speech recognition; continuous voice identification; input voice signal; speaker voice recognition; Algorithm design and analysis; Association rules; Databases; Prediction algorithms; Speech; Speech recognition; association algorithm; association rules; data mining; imprved apriori algorithm; speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5987037
Filename
5987037
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