- 专利标题: Machine learning to generate music from text
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申请号: US15394895申请日: 2016-12-30
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公开(公告)号: US10380983B2公开(公告)日: 2019-08-13
- 发明人: Dominik Roblek
- 申请人: Google Inc.
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Dority & Manning, P.A.
- 主分类号: A63H5/00
- IPC分类号: A63H5/00 ; G10H1/00 ; G06F17/24 ; G06F17/27 ; G06N20/00 ; G10L25/30
摘要:
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.
公开/授权文献
- US20180190249A1 Machine Learning to Generate Music from Text 公开/授权日:2018-07-05
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