Recent research has studied the relevance of various features for automatic genre classification, showing the particular importance of tempo in dance music classification. We complement this work by considering a domainspecific learning methodology,where the computed tempo is used to select an expert classifier which has been specialised on its own tempo range. This enables the all-class learning task to be reduced to a set of two- and three-class learning tasks. Current results are around 70% classification accuracy (8 ballroom dance music classes, 698 instances, baseline 15.9%).