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    • 1. 发明公开
    • SYSTEM AND METHOD FOR AUTOMATED MUSIC PITCHING
    • EP4250134A1
    • 2023-09-27
    • EP22163586.5
    • 2022-03-22
    • Sparwk AS
    • Choi, Jin SukJenssen, RobinLiang, Beici
    • G06F16/638G06F16/683G06N3/02G06N3/04
    • A method and system providing automated music pitching of pitching candidates, selected from registered musical works, to be included in a music project request, where the musical works comprises metadata, text-based tags of musical attributes and corresponding audio files that are stored and made available in a music retrieval module 230, the method is executed in a music pitching system 110 running on a computing device 100.
      In implementations of pitching musical works, a music pitching system receives a project request from a music industry professional, and then selects multiple works registered by different creators to form a pitch-list that matches the request. A project request can include text data to describe targeted musical attributes (genre, mood, etc.) and one or more audio recordings as reference songs. The music pitching system includes trained neural networks to generate feature vectors of text-based tags of musical attributes and audio contents respectively. The music pitching system can then compare the feature vectors of the project request to the feature vectors that correspond to different musical works, and determine musical works to form the pitch-list for the project based on similarity measurements of the feature vectors.
    • 4. 发明公开
    • SYSTEM AND METHOD FOR CONTENT-BASED MUSIC PROJECT RECOMMENDATION
    • EP4287039A1
    • 2023-12-06
    • EP22176470.7
    • 2022-05-31
    • Sparwk AS
    • Suk Choi, JinJenssen, RobinLiang, Beici
    • G06F16/635
    • A method and system for providing content-based recommendation of music projects, selected from registered music projects, to be recommended to a music creator, where the registered music projects comprise requests on creator profiles that are stored and made available in a project filter module 205, requests on musical attributes, and reference music contents that are stored and made available in a project retrieval module 230, the method is executed in a music project recommendation system 110 running on a computing device 100 where input data characterising musical works of a music creator are received via an input interface module 200 on a computing device 100. A list of projects is derived according to the creator profile, and the corresponding request on musical attributes and reference music content in the list are derived. Tag feature vectors of tags of musical attributes and content feature vectors of the musical works provided by the music creator and of the requests provided by the music projects in the sorted list are generated. A list of project candidate is derived by comparing distances between the generated vectors and are sorted according to degree of similarity between the feature vectors. The result is presented on a user interface 120.