This presentation will first introduce the type of biometric data and datasets used in the different forensic applications [identity verification, identification (closed- and open-set), investigation/surveillence, intelligence and interpretation of the evidence], using practical examples. Then it will describe the methodological difference between the biometric identification process developped for access control and the forensic question of identity of inference of identity of source developed to interpret the evidence. Finally it will focus on the development and validation of an automatic approach addressing the forensic question of identity of source and enhance the contribution of the speaker recognition field to this development.