Pitch contours curve frequency domain fitting with vocabulary matching based music generation

In this paper, we present a whole new perspective on generating music. The method proposed in this paper is the first to be used which uses the frequency domain characteristics of pitch contour curve to generate music melody with long-term structure controllable. The music generated by this method has a good long-term structure that other basic music generation methods do not have. This method has great development potential and application ability, can be combined with other music generation methods, and improve the performance of long-term structure. This method firstly uses the neural network to fit the pitch contour curve in frequency domain, then combines the vocabulary matching method to perfect the detailed characteristics of melody generated in time domain and control the long-term trend of notes generated with respect to label information, finally generates music melody with real and controllable long-term structure. Through a large number of experiments, it can be seen that compared with the music generated based on the LSTM, the music generated by the proposed method has better long-term structure and has similar statistical characteristics.