(2017) recently showed that UTD can be improved using the translations themselves as a source of information, which suggests joint learning as an attractive area for future work.
poor precision is most likely due to the simplicity of our MT model, and designing a model whose assumptions match our data conditions is an important direction for future work, which may combine our approach with insight from recent, quite different audio-to-translation models Adams et al., 2016a;Adams et al., 2016b;Berard et al., 2016).