TECHNIQUES FOR LEARNING EFFECTIVE MUSICAL FEATURES FOR GENERATIVE AND RETRIEVAL-BASED APPLICATIONS

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 o...

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Bibliographische Detailangaben
Hauptverfasser: JIN HONGXIA, HECK LARRY P, BRETAN PETER M
Format: Patent
Sprache:chi ; eng
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Zusammenfassung: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. 一种方法包括接收与输入音乐内容相关联的非语言输入。该方法还包括,使用在潜在空间中嵌入描述不同音乐内容和在不同音乐内容之间的关系的多个音乐特征