This article describes the design, implementation and evaluation of an educational video game that helps individuals with Down syndrome to improve their speech skills, specifically those related to prosody. Special attention has been paid to the design of the user interface, taking into account the cognitive, learning and attentional limitations of people with Down syndrome. The learning content is conveyed by activities of production and perception of prosodic phenomena, aimed at increasing their communicative competence. These activities are introduced within the narrative of a video game, so that the players do not conceive the tool as a mere succession of learning activities, but so that they learn and improve their speech while playing. The evaluation strategy that has been followed involves real users and combines different evaluation activities. Results show a high level of acceptance by participants and also by professionals, speech therapists and special education teachers.

Over the last few years, we have witnessed a growing interest in computer-assisted pronunciation training (CAPT) tools and the commercial success of foreign language teaching applications that incorporate speech synthesis and automatic speech recognition technologies. However, empirical evidence supporting the pedagogical effectiveness of these systems remains scarce. In this study, a minimal-pair based CAPT tool that implements exposure-perception-production cycles and provides automatic feedback to learners is tested for effectiveness in training adult native Spanish users (English level B1-B2) in the production of a set of difficult English sounds. Working under controlled conditions, a group of users took a pronunciation test before and after using the tool. Test results were considered against those of an in-classroom group who followed similar training within the traditional classroom setting. Results show a significant pronunciation improvement among the learners who used the CAPT tool, as well as a correlation between human rater's assessment of post-tests and automatic CAPT assessment of users.

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