Study of Speech Recognition and Automation Verifiable Method by Neural Networks
Zhufeng Li · Microelectronics & Computer · 2004
It is very important for the speech recognition system to judge result solely and capture experiences from wrong and overcome mistakes in order to realize automation adjusting of knowledges. By using artificial neural networks, it is effective to learn and refresh knowledges. A new type of effective study and refresh system has been made through combining artificial neural networks with automation verifiable method of speech recognition. The LEA decision method has been given so that grads methods and Newton methods can be effectively combined in neural networks learning. This system can self-study and rise correct rate. We have also given the system principle diagram and the experiment results.