A neural network-based method for generating rhythm from lyrics, relating to the field of artificial intelligence. The method comprises: converting lyrics of given music into a vector set according to a preset lyrics encoding rule (S10); inputting the vector set of the lyrics of the given music into a pre-constructed neural network model to obtain temporal sequence distribution of the lyrics (S20); and performing connectionist temporal classification on the lyrics by means of the temporal sequence distribution to obtain target rhythm (S30). Further provided are a neural network-based apparatus for generating rhythm from lyrics, and a computer readable storage medium. The application of a deep learning network to the generation of music rhythm can obtain a reliable result, making the generated music more comply with the specification of the original music.
NEURAL NETWORK-BASED METHOD AND APPARATUS FOR GENERATING RHYTHM FROM LYRICS, AND STORAGE MEDIUM