公开(公告)号：US20180190249A1

公开(公告)日：2018-07-05

申请号：US15394895

申请日：2016-12-30

Applicant: Google Inc.

Inventor： Dominik Roblek ,  Douglas Eck

IPC: G10H1/00 ,  G06F17/24 ,  G10L25/30 ,  G06F17/27 ,  G06N99/00

CPC classification number: G10H1/0025 ,  G06F17/241 ,  G06F17/2785 ,  G06N20/00 ,  G10H2210/111 ,  G10H2240/085 ,  G10H2250/311 ,  G10L25/30

Abstract: The present disclosure provides systems and methods that leverage one or more machine-learned models to generate music from text. In particular, a computing system can include a music generation model that is operable to extract one or more structural features from an input text. The one or more structural features can be indicative of a structure associated with the input text. The music generation model can generate a musical composition from the input text based at least in part on the one or more structural features. For example, the music generation model can generate a musical composition that exhibits a musical structure that mimics or otherwise corresponds to the structure associated with the input text. For example, the music generation model can include a machine-learned audio generation model. In such fashion, the systems and methods of the present disclosure can generate music that exhibits a globally consistent theme and/or structure.