Invention Grant
- Patent Title: Techniques for learning effective musical features for generative and retrieval-based applications
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Application No.: US16704600Application Date: 2019-12-05
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Publication No.: US11341945B2Publication Date: 2022-05-24
- Inventor: Peter M. Bretan , Larry P. Heck , Hongxia Jin
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Main IPC: G10H1/00
- IPC: G10H1/00 ; G06N3/04 ; G06K9/62 ; G06F16/638

Abstract:
A method includes receiving a non-linguistic input associated with an input musical content. The method also includes, using a model that embeds multiple musical features describing different musical content and relationships between the different musical content in a latent space, identifying one or more embeddings based on the input musical content. The method further includes at least one of: (i) identifying stored musical content based on the one or more identified embeddings or (ii) generating derived musical content based on the one or more identified embeddings. In addition, the method includes presenting at least one of: the stored musical content or the derived musical content. The model is generated by training a machine learning system having one or more first neural network components and one or more second neural network components such that embeddings of the musical features in the latent space have a predefined distribution.
Public/Granted literature
- US20210049989A1 TECHNIQUES FOR LEARNING EFFECTIVE MUSICAL FEATURES FOR GENERATIVE AND RETRIEVAL-BASED APPLICATIONS Public/Granted day:2021-02-18
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