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JOINT OPTIMIZATION OF AN HIDDEN MARKOV MODEL-NEURAL NETWORK HYBRID FOR CHORD ESTIMATION

In the following we present a system for chord estimation, based on a combination of a neural network and an Hidden Markov Model. The approach is based on Bengio et al.’s [1] system for automated speech recognition and modified for musical chord estimation. The system consists of a neural network with softmax activation, that is trained to approximate Pitch Class Profiles from a constant Q transform. An Hidden Markov Model is used to classify the chords. Both are trained separately at first and then are jointly optimized.