DocumentCode :
552500
Title :
Neural network design based on isolated words
Author :
Zeng, Fan-feng ; Shi, Peng-cheng
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
Volume :
2
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
769
Lastpage :
772
Abstract :
The design of neural network model depends on the practical application of the system. This article describes the speech recognition and neural network knowledge, then propose a kind of design based on isolated word recognition. Through the neural network model can be quickly and accurately identify the input words.
Keywords :
neural nets; speech recognition; isolated word recognition; isolated words; neural network design; neural network knowledge; neural network model; practical application; speech recognition; Biological neural networks; Context; Feature extraction; Mel frequency cepstral coefficient; Neurons; Speech; Speech recognition; Isolated word; Neural network; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016773
Filename :
6016773
Link To Document :
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