LONG-SHORT-TERM NEURAL NETWORK-BASED MULTI-PART MUSIC GENERATION METHOD AND DEVICE

摘要

A long-short-term neural network-based multi-part music generation method and device. Said method comprises: constructing a music generation model, the music generation model comprising a first long-short-term neural network, a second long-short-term neural network, a single hidden layer neural network and a dependent network (S101); training the music generation model by means of music sample data including a plurality of parts, to obtain network parameters of the trained music generation model and a music note probability density distribution of the plurality of parts (S102); acquiring characteristic parameters inputted by a user for pre-generating multi-part music, the characteristic parameters comprising a pre-set music duration, a pre-set rhythm sequence and a pre-set damper sequence (S103); and sequentially inputting, into the trained music generation model, a music note random sequence of the plurality of parts, so that the music generation model generates, according to the music note random sequence, the network parameters, and the music note probability density distribution of the plurality of parts, the multi-part music matching the characteristic parameters (S104).