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Predominant instrument recognition in ensemble recordings remains a challenging task, particularly if closelyrelated instruments such as alto and tenor saxophone need to be distinguished. In this paper, we build upon a recentlyproposed instrument recognition algorithm based on a hybrid deep neural network: a combination of convolutional and fully connected layers for learning characteristic spectral-temporal patterns. We systematically evaluate harmonic/percussive and solo/accompaniment sourcedoi:10.5281/zenodo.1492481 fatcat:d5yj7hqb6rhrjpbvwodi2xc62u