In international organizations, the growing demand for translations has increased the need for postediting. In this paper, we will explore the possibilities of using speech in the translation process by conducting a pilot post-editing experiment with three professional translators in an international organization. Our experiment consisted of comparing three translation methods: dictating the translation with machine translation (MT) as an inspiration, i.e., respeaking translation (RES), postediting MT suggestions by typing (PET), and post-editing MT suggestions using speech (SPE). The speech recognizer used for this experiment was Dragon. BLEU and HTER scores were used to compare the three methods. Our study shows that the translators made more edits using the RES method, whereas with SPE the resulting translations were closer to the reference, according to the BLEU score, and required fewer edits. The time taken to translate was the shortest with SPE, followed by PET and RES methods. To the best of our knowledge, this is the first quantitative study to be conducted using post-editing and dictation together, where both reference translations, as well as revised, post-edited MT translation outputs, are used to perform a detailed analysis of the different possible translation methods that can be used in international organizations.