Error analysis and improving the speech recognition accuracy on Telugu language

Abstract

Speech is the one of the most important communication channel among the humans. Speech recognition occupies prominent place in communication between the humans and machine. Several factors are affecting the accuracy of the speech recognition system. Much effort has been done to increase the accuracy of the speech recognition system. Still erroneous output is generated in current speech recognition system. Static pronunciation dictionary plays key role in the speech recognition accuracy. The required phoneme of the word changes to the phoneme of the some other word. Modification in the dictionary in the decoder of the speech recognition system reduces the number of the confusion pairs which automatically increase the accuracy. Hit rate is considerably increased and false alarms have been changed during the modification of the pronunciation dictionary. Also this proposed method observed the variations on different error measures such as F-measures, Error-Rate and WER by applying this proposed method. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.