Investigations on speaker characterization from Orphee system techniques

We investigate speaker-related information in speech. Our investigations are based on the AR-vector model used in the Orphee system: the vocal activated door we designed. The free-text speaker identification accuracy is an indicator of the ability of any parameter for discriminating speakers. Therefore, through speaker identification performance, we test the speech duration influence, the effect of the parameters of AR-vector model and the importance of phonetic segments. We developed a method to predict the most speaker-related phonemes. The results are the following: the vowels, the diphtongues and the nasals are shown to be the most specific to speakers discrimination. For one second duration test signal regrouping vowels and diphtongues, a speaker accuracy rate of 95.6% was found for the 630 TIMIT speakers