Published November 11, 2022
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CLAP: Learning Audio Concepts From Natural Language Supervision (Pretrained Model)
Description
CLAP (Contrastive Language-Audio Pretraining) is a neural network model that learns acoustic concepts from natural language supervision. It achieved SoTA in “Zero-Shot” classification, Audio-Text & Text-Audio Retrieval, and in some datasets when finetuned.
Weights for the Microsoft CLAP model published in 2022. Refer to the GitHub repository for the code.
microsoft/CLAP: Learning audio concepts from natural language supervision (github.com)
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