Armenian is a traditionally under-resourced language, which has seen a recent uptick in interest in the development of its tools and presence in the digital domain. Some of this recent interest has centered around the development of Automatic Speech Recognition (ASR) technologies. However, the language boasts two standard variants which diverge on several levels, the most salient of which being on the phonetic-phonological level. Despite this divergence several social factors render a unified ASR system preferable and practical. These factors include : • a high level of mutual-intelligibility • intense social overlap of the speech communities • increased contact between the two; bi-variant households and speakers In terms of ASR, the most problematic feature of the divergence between Standard Western Armenian (SWA) and Standard Eastern Armenian (SEA), is that of the phonologies, and more specifically, the voicing systems.