TREN-SI: A DCOM-Based Speaker Identification Software

Abstract

Recognition engines are common tools for both speech and speaker recognition. With this respect, TREN-SI (Turkish recognition engine for speaker identification) is presented as a hidden Markov model-based (HMM-based), two-layered distributed speaker identification software. TREN-SI contains specialized modules that allow a full interoperable platform including a speaker recognizer, feature extractor and a performance monitoring module. TREN-SI has basically two layers: First layer is the central server that distributes the calls acquired from different people to the appropriate remote servers according to their current CPU load of the recognition process after some speech signal preprocessing and the second layer consists of the remote servers which performs the critical speaker recognition task. This component-based architecture enables TREN-SI applicable to distributed environments. TREN-SI is developed as a solution especially for physical or logical access control problems considering user authentication and authorization