A method to identify notes and chords of piano is presented. A simplified piano model based on physical properties has been developed for generating spectral patterns used for identification of notes and chords. The patterns generated are used to measure correlation with the chord to be identified. The results using typical values for the model parameters are good enough, but they are improved if the model is trained. Successful recognition of three-note piano chords has been carried out.
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