SPEAKER-INDEPENDENT SPEECH RECOGNITION BASED ON FAST NEURAL NETWORK
Abstract
This paper presents a fast Neural Network algorithm, in which the step is regarded as the function of the error and the output function of network node, and weight is calculated by different step. By adopting the fast NN algorithm, we developed a speaker-independent speech recognition system. The experiment shows that the new algorithm is over 10 times faster than the traditional BP algorithm and has better performance and spreading ability.
Remember to check out the Most Cited Articles! |
---|
Check out Notable Titles in Artificial Intelligence. |