In guitar performance, fingering is an important factor. In particular, the fingering of the left hand comprises various relationships between the finger and the string, such as the finger touching/pressing/releasing the strings. The recog- nition of the precise fingering is applied to a self-learning support system, which is able to detect strings being muted by a finger, and which transcribes music automatically, in- cluding the details of fingering techniques. Therefore, the goal of our study is to construct a system for recognizing the touch of strings for the guitar.
