Speech recognition using neural networks with forward-backward probability generated targets
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چکیده
Neural network training targets for speech recognition are estimated using a novel method. Rather than use zero and one, continuous targets are generated using forwardbackward probabilities. Each training pattern has more than one class active. Experiments showed that the new method e ectively decreased the error rate by 15% in a continuous digits recognition task.
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تاریخ انتشار 1997