Analysing millions of songs lyrically & musically to dig out long forgotten gems
Catalogues with MyPart boosting synch, A&R,
and other song-search processes
“I’ll know the right song when I hear it”.
But will you actually get around to hearing it?
Tens of thousands of songs are released every day to various music platforms, almost a million a month. Not to mention production music libraries and songs pitched to you directly. At the end of the day, you can only listen to a tiny fraction of what’s out there.
Songmine to the rescue!
MyPart's Songmine is the next-generation of song search and classification. It uses state-of-the-art “Song Mining” techniques to dig out songs that are worth your while, making sure you won’t miss them.
Searching for song with songs
It’s hard to articulate precisely what you’re looking for with words, especially when looking for a song that elusively captures a feeling.
Well, what if you could also search for songs using the most natural query possible: other songs?
Lyrical and Compositional DNA
We created a game-changing song fingerprinting technique that abstracts the DNA of a song in a way that enables searching for songs with common harmonic, melodic, lyrical and structural features to your reference songs.
Transform Your Catalogue Into a Song Mine
MyPart boosts the efforts of all music executives involved in daily searches for songs, whether for synch, A&R or any other purpose.
MyPart supports searching with a Benchmark, a set of five to fifteen songs that define your search or match your brief.
Once a Benchmark is selected, MyPart trains a machine learning model to deeply understand the reference songs provided, It is then able to rank all the potential songs in the catalogue you are searching by likelihood of being relevant to that precise benchmark, to make sure that you hear the songs that are worth your while.