This paper proposes an integration of the time-alignment information in the decision making for HMM-based text-dependent speaker verification. The principle is to consider acoustical score and time-alignment as joint observations for which a log-likelihoodratio is computed and compared to a threshold. It is shown that such integration has two distincts aspects, one being a kind of adaptation of the acoustical score threshold to the observed alignment, the other being the integrationof the speaker-specificity information of the alignment in the decision making. Exper-iments on a large-scale and realistic database are reported. They showthe interest of the proposed method and encour-age further investigation in such an approach.