Presents the ATTM grand challenge with efficiency and performance tracks for text-to-music generation using a public instrumental music dataset, evaluated via FAD, CLAP, a new CCS metric, and subjective tests.
CLAP: Learning audio concepts from natural language supervision
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Academic Text-to-Music Grand Challenge: Datasets, Baselines, and Evaluation Methods
Presents the ATTM grand challenge with efficiency and performance tracks for text-to-music generation using a public instrumental music dataset, evaluated via FAD, CLAP, a new CCS metric, and subjective tests.