The present study has surveyed professional translators working in six international organizations in order to know more about their views and attitudes with regard to new translation workflows involving two different types of technologies, i.e. machine translation and speech recognition. The main aim of this survey was to identify how feasible it is to implement new post-editing workflows in an international organization using speech as an input method to edit inaccurate machine translation outputs. Overall, the results suggest that the surveyed translators do not hold a negative view on the use of ASR as part of their translation workflow, which provides a promising first step towards investigating the integration of speech based post-editing to translation workflows for productivity and ergonomic gains.