For music supervisors, the key signature of a piece of music is as critical as chord progressions and tempo in determining the emotional tone and suitability of a track for specific visual content. Key signatures influence the tonal quality and feel of music, making them a vital component in the search and selection process within music libraries.
Accurate music tagging is crucial in the digital music industry for effective searchability, categorization, and licensing. Traditionally a manual process, tagging is not only time-consuming but also prone to inconsistencies. However, Artificial Intelligence (AI) is now playing a pivotal role in automating this task, with several practical systems demonstrating significant advancements in this field.
The digital age has brought about rapid expansion in media platforms, highlighting significant inefficiencies in traditional royalty distribution methods in the broadcast industry. This evolution has made it increasingly difficult for artists and music publishers to accurately track and collect royalties. Artificial Intelligence (AI), through tools such as audio fingerprinting, is revolutionizing this landscape to ensure more accurate, efficient, and comprehensive tracking of music usage.