Title :
Application of neural network and fuzzy inference to Chinese-Phoneme recognition
Author :
Jianxin, Jiang ; Zheng, Hu
Author_Institution :
Xidian Univ., Shaanxi, China
fDate :
30 Aug-3 Sep 1992
Abstract :
A speech recognition method combining a neural network and fuzzy inference is proposed. This method uses the neural net as speech feature detector and fuzzy inference as a decision procedure. An unsupervised collective competitive learning algorithm is used to train the neural net
Keywords :
feature extraction; fuzzy logic; inference mechanisms; neural nets; speech recognition; unsupervised learning; Chinese-Phoneme recognition; decision procedure; feature detector; feature extraction; fuzzy inference; neural network; unsupervised collective competitive learning algorithm; Artificial neural networks; Biological neural networks; Computer vision; Detectors; Fuzzy logic; Fuzzy neural networks; Humans; Neural networks; Neurons; Speech recognition;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201809
