Title :
A scaly artificial neural network for speaker independent isolated word recognition using non-linear time alignment
Author :
Creaney, M.J. ; Gorgui-Naguib, R.N.
Author_Institution :
Dept. of Electr. & Electron. Eng., Newcastle upon Tyne Univ., UK
fDate :
27 Jun-2 Jul 1994
Abstract :
The use of neural networks for the recognition of isolated letters from the English alphabet is investigated. A scaly architecture neural network model is used and is trained using the error backpropagation algorithm. The architecture is varied by changing the number of inputs to the network, the number of hidden units in the network and the performance of each of these networks is compared. The nonlinear time alignment algorithm called trace segmentation is used. The use of different transfer functions within the processing units of the neural network is looked at and several versions of the sigmoid function compared
Keywords :
backpropagation; neural net architecture; neural nets; speech recognition; transfer functions; English alphabet; error backpropagation; hidden units; isolated word recognition; model; nonlinear time alignment; scaly artificial neural network; sigmoid function; speaker independent speech recognition; trace segmentation; transfer functions; Artificial neural networks; Data preprocessing; Feedforward neural networks; Feedforward systems; Multi-layer neural network; Neural networks; Neurons; Pattern recognition; Speech recognition; Transfer functions;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374983
