The work reported in this paper concerns the problem of mathematical expressions recognition. This task is
known to be a very hard one. We propose to alleviate the difficulties by taking into account two complementary
modalities. The modalities referred to are handwriting and audio ones. To combine the signals coming from
both modalities, various fusion methods are explored. Performances evaluated on the HAMEX dataset show a
significant improvement compared to a single modality (handwriting) based system.