The model we use for our experiments is based on that of<cite> [4]</cite> . It is trained to solve an image retrieval task: given a spoken description it retrieves the closest image that matches the description. To do so, the model projects an image and its spoken description in a common representation space, so that matching image/utterance pairs lie near while mismatching image/utterance pairs lie apart.