Recently, we demonstrated that vocal tract length normalization (VTLN) can be applied to voice conversion tasks. In particular, when the conversion algorithm is performed in time domain, this technique is very resource-efficient and, consequently, suitable for embedded applications. In this paper, we use VTLN-based voice conversion as a novel feature of a small footprint speech synthesizer running on mobile devices. The characteristics of this feature are investigated by means of extensive subjective tests.