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High b flat flute1/31/2024 ![]() ![]() It was not the case that musical notes were gradually grouped into large chunks, as assumed, but instead the network just grouped pairs of tones and halftones, and worked harder on adapting the motor output to the properties of the instrument. The network could play random sequences of tones and ‘Amazing Grace’ successfully. In three simulations, a 13 x 5 x 5 x 10 three layer feedforward neural network was required to transform a binary spatial representation of a musical notation of the chromatic C’ scale on the stave into the appropriate fingering output on the ten holes of the Soprano recorder. This study used the recorder as a model, where learning of finger combinations is needed to produce one tone. ![]() Most studies on notation-fingering mapping used the piano where one finger covers one key to produce one tone. ![]()
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