  We present a new task, speech dialogue translation mediating speakers of
different languages. We construct the SpeechBSD dataset for the task and
conduct baseline experiments. Furthermore, we consider context to be an
important aspect that needs to be addressed in this task and propose two ways
of utilizing context, namely monolingual context and bilingual context. We
conduct cascaded speech translation experiments using Whisper and mBART, and
show that bilingual context performs better in our settings.
