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The performance of a model is dependent not only on the amount of knowledge available to the model but also on how the knowledge is exploited. We investigate the recognition of handwritten musical notation based on three related probabilistic inference techniques: Hidden Markov Models (HMMs), Markov Models (MMs) and Naïve Bayes (NBs). Music notes are written on a tablet. A sequence of ink patterns...
We investigate the recognition of handwritten musical notation using Hidden Markov Models (HMMs). In a non-gestural approach, handwritten musical notation is entered naturally via a pen tablet as we would do using pen and paper. A sequence of observed ink patterns representing musical symbols is captured and used to construct different HMM models. The proposed approach exploits both global and local...
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