Approximation of Audio via Resynthesis

Tomáš Tisančín Supervisor: Adam Sporka Master thesis 2015
Sound resynthesis is complex and time-consuming task, which requires deep knowledge of used synthesizer and synthesis in general. There is countless number of synthesizers and each one is different in both its parameters and sound it produces. In this thesis we use Genetic Algorithm to match target sound using automated optimalization of parameters of given synthesizer.