This paper presents a new approach to speaker recognition and indexation systems, based on non-directly-acoustic processing. This new method is specifically designed to lower the complexity of the modeling phase, compared to classical techniques, as well as to decrease the required amount of learning data, making it particularly well-suited to on-line learning (needed for speaker indexation) and use on embedded systems.