Abstract: A sheet music search and discovery system is disclosed that uses specific mathematical rules to analyze and characterize sheet music and provides functionality for users to identify sheet music based on those characterizations. The system stores sheet music data and metadata characterizing each composition, provides a graphical user interface that provides functionality for users to search the sheet music data for compositions, and generates search results based at least in part on the metadata characterizing each composition. In one embodiment, metadata describing structured sheet music data is generated using a global vector space that includes semantic representations of elements extracted from a large corpus. In another embodiment, metadata describing unstructured sheet music data is generated using machine learning-based pattern recognition.

Abstract: A sheet music search and discovery system is disclosed that uses specific mathematical rules to analyze and characterize sheet music and provides functionality for users to identify sheet music based on those characterizations. The system stores sheet music data and metadata characterizing each composition, provides a graphical user interface that provides functionality for users to search the sheet music data for compositions, and generates search results based at least in part on the metadata characterizing each composition. In one embodiment, metadata describing structured sheet music data is generated using a global vector space that includes semantic representations of elements extracted from a large corpus. In another embodiment, metadata describing unstructured sheet music data is generated using machine learning-based pattern recognition.

Abstract: A sheet music search and discovery system is disclosed that uses specific mathematical rules to analyze and characterize sheet music and provides functionality for users to identify sheet music based on those characterizations. The system stores sheet music data and metadata characterizing each composition, provides a graphical user interface that provides functionality for users to search the sheet music data for compositions, and generates search results based at least in part on the metadata characterizing each composition. In one embodiment, metadata describing structured sheet music data is generated using a global vector space that includes semantic representations of elements extracted from a large corpus. In another embodiment, metadata describing unstructured sheet music data is generated using machine learning-based pattern recognition.

Abstract: Music Display, Collaboration, Annotation, Composition, and Editing (MDCACE) systems and methods are provided. Elements in music scores are presented as “layers” on user devices which may be manipulated by users as desired. For example, users may elect to hide or show a particular layer, designate a display color for the layer, or configure the access to the layer by users or user groups. Users may also create annotation layers, each with individual annotations such as music symbols or notations, comments, free-drawn graphics, staging directions, or the like Annotations such as staging directions and orchestral cues may also be generated automatically by the system. Real-time collaborations among multiple MDCACE users are promoted by the sharing and synchronization scores, annotations or changes. In addition, master MDCACE users such as conductors may coordinate or control aspects of the presentation of music scores on other user devices.

Abstract: Music Display, Collaboration, and Annotation (MDCA) systems and methods are provided. Elements in music scores are presented as “layers” on user devices which may be manipulated by users as desired. For example, users may elect to hide or show a particular layer, designate a display color for the layer, or configure the access to the layer by users or user groups. Users may also create annotation layers, each with individual annotations such as music symbols or notations, comments, free-drawn graphics, staging directions, or the like Annotations such as staging directions and orchestral cues may also be generated automatically by the system. Real-time collaborations among multiple MDCA users are promoted by the sharing and synchronization scores, annotations or changes. In addition, master MDCA users such as conductors may coordinate or control aspects of the presentation of music scores on other user devices.