A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks
The purpose of this research is to propose a low cost general model-based method such that musical sounds can be closely synthesized by analyzing the recorded signal generated by target acoustic instruments. A recurrent neural network based technique is used to search the suitable synthesis parameters so that synthetic results can sound very close to the target instruments.
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