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amaai-lab/merit
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28
Language ·
Python
License ·
MIT
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Load cover.mp3 and original.mp3 with MERIT and print all three similarity scores, melody, rhythm, and timbre, to the console.
I have a folder of 200 MP3 files. Help me loop through them with MERIT and find the 10 songs most similar in timbre to a reference track I specify.
I am building a playlist generator that groups songs by rhythmic feel. Help me cluster my library using MERIT's rhythm embeddings with k-means.
Explain what the 128-number embedding MERIT produces for melody represents and how cosine similarity turns two embeddings into a single score between -1 and 1.
Full explanation on explaingit →
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