Data Services for Music Supervision
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Data Services for Music Supervision

AI - Music Supervison Edited



Shared Vocabulary

Using uniform standards of music classification for your next project will create a shared vocabulary for teams of creatives to articulate their requirements. This helps improve communication and collaboration among team members, reducing the potential for misunderstandings and conflicts, leading to a more positive and productive work environment.

Replacing Music

One of the challenges of Music Supervision is the need to maintain a consistent standard for selecting replacement versions of music tracks. This is particularly important for All Media projects, where alternative versions may be distributed across multiple platforms and require alternative music to replace tracks.
This can be challenging for Music Supervisors, who need to ensure that the replacement versions are consistent with the original track and maintain the desired mood and atmosphere.
Using AI in music supervision can help teams to quickly and easily identify the appropriate replacement versions of music tracks, allowing them to maintain a consistent standard for All Media projects. This can save time and help meet the delivery deadlines of the post-production process for long form video content.

Portals

Content distributors often use Portals that provide access to pre-cleared Production Library music for use in Original productions. By hosting these portals, content distributors are able to provide a centralised location for production companies to access a wide range of music. However, these libraries contain sub-published works, and are typically associated with non-standard data for contextual information, which can make it difficult to discover and place these tracks in production.
Using an AI system can help to standardize the data associated with sub-published works, making it easier for producers to find and use the tracks they need. By providing a uniform standard for music classification, producers can search for tracks using specific criteria, such as the mood or genre of the music, or the specific instruments featured in the track. This can help to improve the discoverability of these tracks, and can make it easier for producers to find the music that is most appropriate for their productions.

Pitch without Playlists.

Music supervisors can also use AI music classification as an alternative to creating playlists when adding tracks to their library. This can be a useful way for teams to discover new music tracks that may have value in the project without having to pitch them for a specific placement.

Shared Vocabulary
Replacing Music
Portals
Pitch without Playlists.
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