Patents by Inventor Peter M. Bretan

Peter M. Bretan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Techniques for learning effective musical features for generative and retrieval-based applications
    Patent number: 11341945
    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.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: May 24, 2022
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Peter M. Bretan, Larry P. Heck, Hongxia Jin
  • TECHNIQUES FOR LEARNING EFFECTIVE MUSICAL FEATURES FOR GENERATIVE AND RETRIEVAL-BASED APPLICATIONS
    Publication number: 20210049989
    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.
    Type: Application
    Filed: December 5, 2019
    Publication date: February 18, 2021
    Inventors: Peter M. Bretan, Larry P. Heck, Hongxia Jin