Speaker recognition based on source coding approaches

The use of nonmemoryless source coders in speaker recognition problems is studied, and the effects of source variations, including speaking inconsistency and channel mismatch, in source coder designs for the intended application are discussed. It is found that incorporation of memory in source coders in general enhances the speaker recognition accuracy but that more remarkable improvements can be accomplished by properly including potential source variations in the coder design/training. An experiment with a 100-speaker database shows a 99.5% recognition accuracy