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A neural network architecture for speech segmentation using mean field annealing

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2 Author(s)
C. G. Jeong ; Dept. of Electr. Eng., POSTECH, Pohang, South Korea ; H. Jeong

As a dual algorithm to the Geiger-Girosi restoration scheme, a new segmentation method is introduced and used to demonstrate an approach to phoneme boundary detection. Also the authors introduce a neural network suitable for this algorithm, which consists of sigmoid neurons and Sigma-Pi neurons. Experimental results show that the new algorithm is superior to the forward-backward algorithm and the Geiger-Girosi algorithm in terms of position accuracy and recognition accuracy as well as computational speed for phoneme-boundary detection

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:7 )

Date of Conference:

27 Jun-2 Jul 1994