๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An on-line adaptive neural network for speech recognition

โœ Scribed by Li-Peng Zhang; Li-Mei Li; Zheru Chi


Book ID
105466229
Publisher
Springer US
Year
1998
Tongue
English
Weight
524 KB
Volume
2
Category
Article
ISSN
1381-2416

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


An adaptive neural network: Application
โœ Akira Hasegawa; Kenji Shibata; Kazuyoshi Itoh; Yoshiki Ichioka; Kiyonari Inamura ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 583 KB

In this paper, we propose a hyper-spherical surface interactive interconnections (HSII) learning method for category learning. This method generates the number of hidden units based on the same algorithm as a restricted coulomb energy (RCE) network and updates weights and biases by the error backpro

Adaptive stepsize algorithms for on-line
โœ G.D. Magoulas; V.P. Plagianakos; M.N. Vrahatis ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 312 KB

In this paper a method for adapting the stepsize in on-line network training is presented. The proposed technique derives from the stochastic gradient descent proposed by Almeida et al. [On-line Learning in Neural Networks, 111-134, Cambridge University Press, 1998]. The new aspect of our approach c

Speech recognition by an artificial neur
โœ S. Kurogi ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 714 KB

An artificial neural network which uses anatomical and physiological findings on the afferent pathway from the ear to the cortex is presented and the roles of the constituent functions in recognition of continuous speech are examined. The network deals with successive spectra of speech sounds by a c