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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.