LYRA is a dataset with extensive annotations of Greek Traditional Music. Baseline CNN classifiers have already implemented to distinguish between musical instruments, different types of music an different locations. This thesis will focus on (a) improving the classification performance through multi-task learning and more robust architectures and (b) build an online app for Greek Traditional Music Data visualisation and indexing.