![]() It maps the most characteristic peaks and lows and all developments in between. As the name suggests, the Dynamic Emotion Analysis does not only show you what moods a song is made of. With the company, of course, Spotify is meant.Ī big part of how listeners experience a song is the way it develops and what turns it takes over the duration of the track. You can also mention which playlist might be a good fit for the track.ĪWAL, the distributor and label of Kobalt, writes : “It also requires self-classification, which might offer additional value to a company that hopes to match a listener’s mood with the appropriate soundtrack, as quickly and accurately as possible“. The text pitch should present you as an artist and also include details about the song: your artistic approach, inspiration, collaborations, credits, and future plans can be included here. Here is the screenshot of the song analysis with all the data: Stephen Cirino emphasizes the relevance of emotion selection in his article on the pitching process : “ Choosing the right moods to match your song can help get your music in front of curators for mood-focused playlists such as Mood Booster, Dreamy Vibes, Sad Indie and more “.Īdditionally, you can choose and match genres, sub-genres, and instruments using Cyanite. ![]() He says: “ The objective view of Cyanite’s AI helps a lot“.Īdditionally, some of Spotify’s playlists are mood-based, so mood match is the first criteria editors look at. Dan remembers that choosing emotions has always been one of the most difficult parts for him. This is confirmed by the professionals in the music industry, who often have to deal with tons of music releases.ĭan Glaunsinger, an artist manager at daynight.music, used Cyanite when submitting artist SACCC to Spotify for Artists. If you manage to find emotions that correctly describe your track, it will save time for the editors and you will make a good first impression.
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