Kaminsky I, Materka A (1995) Automatic source identification of monophonic musical instrument sounds.In: Image processing (ICIP), 2012 19th IEEE International Conference on, pp 3137-3140. Gupta A, Bowden R (2012) Fuzzy encoding for image classification using Gustafson-Kessel Algorithm.IEEE Trans Audio Speech Lang Process 14(3):1040-1050. Fragoulis D, Papaodysseus C, Exarhos M, Roussopoulos G, Panagopoulos T, Kamarotos D (2006) Automated classification of piano-guitar notes.Engineers Gallery (2017) Engineers gallery.Benward B (1981) Music in theory and practice.IEEE Trans Audio Speech Lang Process 20(3):915-921. Barbancho AM, Klapuri A, Tardón LJ, Barbancho I (2012) Automatic transcription of guitar chords and fingering from audio.Agostini G, Longari M, Pollastri E (2003) Musical instrument timbres classification with spectral features.This paper highlights the use of cepstral analysis and arduino board for designing an automatic guitar tuner.

System has been tested and verified for `A' note and successful results were obtained with marginal offset. This adjusts the tension in the string which results in change of frequency of the string to bring it to the desired pitch. Output of the PWM signal is fed to a motor driver circuit which amplifies it and rotates the motor in appropriate direction with varying speed. This output from Fuzzy controller is used to generate a PWM signal with varying duty cycle. Frequency difference between the calculated frequency and the set frequency is used as an input to a fuzzy logic controller that generates a corresponding output as per the mentioned rules. Fundamental frequency of the played note is evaluated using cepstral analysis and is compared with desired set point. Signals from an acoustic guitar are fed into a system running MATLAB. Cepstral analysis and fuzzy controller is used to design an automatic guitar tuner on Arduino micro-controller.

Source Code Fuzzy Logic Arduino