Speech recognition of finite words based on multi-weight neural network

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Under the guide of the novel biomimetics pattern recognition theory that is based on the character of human's recognition, combining the character of traditional neural network, a new multi-weight neural network is constructed to realize the idea of that theory. Extraordinary results are obtained with the first use of the new multi-weight neural network in speech recognition of finite words. The experiment results show that the multi-weight neural network can not only recognize finite words correctly and promptly, but also keep quite high correct recognition rate under the circumstance of small-number samples. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Wu, Y., Wang, H., Jin, M., & Wang, S. (2005). Speech recognition of finite words based on multi-weight neural network. In Lecture Notes in Computer Science (Vol. 3497, pp. 339–344). Springer Verlag. https://doi.org/10.1007/11427445_55

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free