Caller identification by voice

The aim of our work is to develop the software for caller identification or to create his characteristic by analysis of his voice. Based on collected speech samples, our system aims to identify emergency callers both on-line and off-line. This homeland security project covers speaker recognition (when speaker´s speech sample is known), speaker´s gender, age detection and recognition of emotions. Proposed system is not limited to bio-metrics. The goal of this application is to provide an innovative, supporting tool for rapid and accurate threat detection and threat neutralization. This complex system will include: a speech signal analysis, an automatic development of speech patterns database and appropriate classification methods.