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
Link To Document :
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