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 recognition 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, including 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. We propose a method for recognizing the touch of strings based on the conductive characteristics of strings and frets. We develop a prototype system, and evaluate its effectiveness. Furthermore, we propose an application that utilizes our system.
['Hayami Tobise', 'Yoshinari Takegawa', 'Tsutomu Terada', 'Masahiko Tsukamoto']
Construction of a System for Recognizing Touch of Strings for Guitar