Distortion and Delay Simulation for Guitar Effector

Guitar effects are commonly used in playing electric guitar. The musicians of electric guitar player will study how to find out own guitar tone. When they playing others’ music, guitar players want to imitate the original guitar tone. Because there are a lot of different guitar effector, and there are many parameters on each effector, so the original tone imitation is very tough and need to take much time for learning. In this thesis we use computer to simulate distortion effect based on Hammerstein-Wiener and neural network. For delay effect simulation, autocorrelation method can be applied in delay parameters estimation, then we can use the information of parameters to simulate delay effect. For the delay and distortion effect, we use Hammerstein-Wiener and combine the autocorrelation to simulate delay and distortion situation. The fit of distortion simulation with neural network is 99%, the accuracy of three delay parameters with autocorrelation method is 90.27%, and the fit of delay and distortion simulation with Hammerstein-Wiener and autocorrelation is 95%.