Design of Music Learning Assistant Based on Audio Music and Music Score Recognition
Ahmad Wisnu Mulyadi, Carmadi Machbub, Ary Setijadi Prihatmanto, Bong-Kee Sin · Journal of Korea Multimedia Society · 2016
Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.