Voice Assistants (VAs) are becoming an increasingly important part of our lives. However, most widespread VAs generally fail to take into account the user’s spatiotemporal context [11], leading to more descriptive and less natural dialogue. This paper introduces VOICE, an open-source multimodal VA leveraging multimodal interaction and vision-language models to allow for a more flexible and natural communication. Additionally, we present a preliminary user study to evaluate VOICE’s ability to understand queries with contextual references.