Research on Chinese Digit Speech Recognition Based on Multi-Weighted Neural Network

Authors:
Chunyan Xu;Xianbao Wang;Shoujue Wang
Affiliations:
-;-;-
Venue:
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 01
Year:
2008

Citing 0
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Advanced classification approach for neuronal phoneme recognition system based on efficient constructive training algorithm

International Journal of Speech Technology

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Abstract

This paper proposes a new approach for speaker-independent continuous Chinese digit speech recognition based on multi-weighted neural network. By analyzing the geometrical meaning of the multi-weighted neuron function and on the principle of continuity point of view, this approach constructs a multi-weighted neural network. This network shows better recognition results when applied in digit speech recognition. Its correct recognition rate is higher than HMM.