Talker Identification Using Reverberation Sensing System

In this paper, we propose a robust talker identification (TI) system that can identify speakers in different reverberant environments. We describe a reverberation sensing system (RSS) that determines the approximate reverberation level of the surrounding environment, and then selects a TI engine trained in a similar reverberant environment; greater TI accuracy is achieved when training and test environments are similar. In this system, there are six TI engines trained in five reverberant environments and one non-reverberant environment. Performance is evaluated using new twelve test environments, which are all within a reverberation time (RT60) range of 0 to 1.8 seconds. The TI system using the RSS achieves average identification accuracy of 95.5%; an enhancement of 9% over the TI engine trained in a non-reverberant environment.