On the Use of Dynamic Information for Speaker Identification

This paper describes a language independent method for speaker identification. This method is based on a novel characterization of the speech signal that captures the dynamic information contained in the cepstral coefficients. The proposed method was evaluated through several experiments on a corpus of Mexican speakers. The achieved results demonstrated the relevance of the signal characterization, reaching an identification accuracy as high as 97% under a multi-class scheme.