  This paper introduces a set of English translations for a 123-hour subset of
the CallHome Mandarin Chinese data and the HKUST Mandarin Telephone Speech data
for the task of speech translation. Paired source-language speech and
target-language text is essential for training end-to-end speech translation
systems and can provide substantial performance improvements for cascaded
systems as well, relative to training on more widely available text data sets.
We demonstrate that fine-tuning a general-purpose translation model to our
Mandarin-English conversational telephone speech training set improves
target-domain BLEU by more than 8 points, highlighting the importance of
matched training data.
