Sökning: "Axel Kennedal"

Hittade 1 uppsats innehållade orden Axel Kennedal.

  1. 1. The Effect of Audio Snippet Locations and Durations on Genre Classification Accuracy Using SVM

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nicklas Hersén; Axel Kennedal; [2018]
    Nyckelord :;

    Sammanfattning : Real world scenarios where machine learning based music genre classification could be applied includes; streaming services, music distribution platforms and automatic tagging of music libraries. Music genre classification is inherently a subjective task; there are no exact boundaries that separate different genres. LÄS MER