Speech coder identification using false nearest neighbor fractions

Speech coder identification refers to identification or recognition of a speech coder directly from a bit stream. The fundamental idea behind coder identification is that different coders should posses different statistical bit patterns and therefore recognition should be possible using chaotic features such as false nearest neighbor fractions. In this study theoretical coders have been investigated first and then research has been extended to real time actual speech coders. The results are impressive, in the sense that the proposed speech coder identification system that operates on nine different conventional coders delivers between 96.36 to 100% performance.