Download directly for more content description... piano which can point out defects of the user in his/her playing scales. . scales together with corresponding subjective scores are collected using five . This study aims at realizing automatic evaluation of appropriateness on playing scales withinone octave using a MIDI piano, and it also aims at designing a support system for practicing thepiano which can point out defects of the user in his/her playing scales. Records of playingscales together with corresponding subjective scores are collected using five experts of piano inorder to construct the evaluation criteria. Performances using a MIDI piano were recorded on aMIDI sequencer. Onset intervals, velocities, and durations for each note are obtained and a setof three (IOI, velocities and durations) regression curves for each performance are obtained byusing the spline interpolation, using the average value of each parameter calculated for eachwrist position on the keyboard. The subjective scores obtained are employed as both test dataor training data in turn to achieve open tests. KL expansion and k-NN algorithm are tried beused to predict subjective scores of new scale-performance data. It is confirmed that outputs bythe proposed system are relatively similar to subjective evaluation scores and theappropriateness of values for description parameters is discussed.

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