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    • 55. 发明公开
    • GENERATIVE SYSTEM FOR REAL-TIME COMPOSITION AND MUSICAL IMPROVISATION
    • US20240127775A1
    • 2024-04-18
    • US18374269
    • 2023-09-28
    • Olga Vechtomova
    • Olga Vechtomova
    • G10H1/00G06F40/40
    • G10H1/0025G06F40/40G10H2210/111G10H2250/311
    • Some embodiments of the present disclosure relate to generating novel music compositions and lyric lines conditioned on music audio. A bimodal neural network model may learn to generate lyric lines conditioned on a given short audio clip, and may predict the next audio clip based on the previously played audio clip and a generated lyric line. The bimodal neural network model includes a spectrogram variational autoencoder, a text conditional variational autoencoder and a generative adversarial network. Output from the spectrogram variational autoencoder is used to influence output from text conditional variational autoencoder. The latent representations of a spectrogram and a lyric line may be used as input to the generative adversarial network that predicts the next audio clip. Aspects of the present application relate to a creative tool for artists to tap into their catalogue of studio recordings, rediscover sounds and recontextualize the rediscovered sounds with other sounds, and have the tool generate novel music compositions and soundscapes. Such a tool is, preferably, conducive to creativity and does not take the artist out of their creative flow. The system may run in either a fully autonomous mode without user input, or in a live performance mode, where the artist plays live music audio input while the system creates a continuous stream of music and lyrics in response to the user's audio input.