Nowadays one of the most tedious tasks of our online life is the verification of our identity through several passwords, passphrases, PINs and cards. This work wants to analyse the possibility of using recorded voice to automatically identify someone. Identifying a person through his voice is an important human ability that, most of the time, is taken for granted in face-to-face interactions, but when the visual verification fails, like in telephone calls, it becomes crucial to correctly identify and verify who is speaking. This thesis is about the identification and verification of a person’s identity through his voice imprint using at most two raw audio inputs in the test phase.