Digital Waveguide Filters have been applied to synthesis of wind instruments for years. To design the filter coefficients to synthesize the timbre of a particular instrument usually takes lots of time and effort. A source filter model combined with a long short-term memory(LSTM) recurrent neural network for the synthesis of violin has been successful in this respect, but it lacks the synthesis of the noise part that is important for any playing wind instruments. In this paper, we adopt the noise synthesis method of DWF and apply it to the LSTM based source filter model to take the advantages of both methods. The French horn tones recorded in the Real World Computing(RWC) database are used to demonstrate the work. The synthesis tone sounds close to the original tone. Sound files are provided. The proposed method can be efficiently implemented as a VST plugin.
(See document for exact affiliation information.)
https://aes2.org/publications/elibrary-page/?id=21071
(2427KB)
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 Join the AES. If you need to check your member status, login to the Member Portal.
