Title :
Another approach for theoretical speech recognition method
Author :
Sugiyama, Shigeki
Author_Institution :
Univ. of Gifu, Gifu, Japan
Abstract :
We speak languages sometimes fast and sometimes slowly. We sometimes even stop speaking suddenly, and change the topic and start speaking about another subject. And also, we sometimes speak to a person whom we have met for the first time. Even in these situations, we can happily understand one another what we are talking about. But if we apply some of today´s speech analysis methods in these situations mentioned above, we may totally get different answers or even cannot apply those methods. And what is worse, application of those methods are quite difficult and not understandable what will be the causes in a practice. So on this paper, I have tried to study a simple method which can apply to in the difficult situations mentioned above by using Vector Analysis Method and Back Propagation Neural Networks Method.
Keywords :
backpropagation; neural nets; speech recognition; back propagation neural networks method; speech analysis; theoretical speech recognition method; vector analysis method; Biological neural networks; Cities and towns; Frequency; Intelligent networks; Natural languages; Neural networks; Neurons; Signal analysis; Speech analysis; Speech recognition;
Conference_Titel :
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4648-3
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2009.5414916