AMEUR NehalENCA/ Dr. KHENNOUF Salah2026-01-042026-01-042025https://repository.univ-msila.dz/handle/123456789/48083This work focuses on automatic speaker verification identity via his voice, which is a recent task of the Automatic Speaker Recognition field. This work is divided into two phases: The first phase "called training or learning phase" consists of acquiring and saving audio recordings of a group of speakers into PC. In the second phase "testing phase", an anonymous speech is introduced and compared its characteristics with the characteristics of previous recordings, using a set of algorithms (such as: MFCC, FFT) to make a decision. The speech files that were recorded and processed in this work are obtained using a personal computer microphone instead of special equipment, which explains the weakness of the obtained results.enThesis