A novel music analysis/synthesis method is proposed. The basic structure consists of a delay line, a feedback filter, and a short wavetable as the excitation signal. Because most musical tones are quasi-periodic, the feedback filter predicts the next input data to the delay line based on the signal in the delay buffer. The filter coefficients are obtained in the analysis process performed by using source signals as the teaching vector and a recurrent neural network learning procedure. Because the basic architecture is identical to Digital Waveguide Filters (DWF), most efficient supplemental processing and implementation techniques for DWF can be applied. In stead of a fixed-length delay line, a variable-length delay line and a control method are embedded when a wide range portamento is required. The proposed method is currently applied to synthesize plucked-string instruments.
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.