Feedback is an important concern in Computer-Assisted Pronunciation Training (CAPT), inasmuch as it bears on a system's capability to correct users' input and promote improved L2 pronunciation performance in the target language. In this paper, we test the use of synthetic voice as a corrective feedback resource. A group of students used a CAPT tool for carrying out a battery of minimal-pair discrimination-production tasks; to those who failed in production routines, the system offered the possibility of undergoing extra training by using synthetic voice as a model in a round of exposure exercises. Participants who made use of this resource significantly outperformed those who directly repeated the previously failed exercise. Results suggest that the Text-To-Speech systems offered by current operating systems (Android in our case) must be considered a relevant feedback resource in pronunciation training, especially when combined with efficient teaching methods.