Generative Audio Models

COLA is a self-supervised pre-training approach for learning a general-purpose representation of audio. It is based on contrastive learning: it learns a representation which assigns high similarity to audio segments extracted from the same recording while assigning lower similarity to segments from different recordings.

Source: Contrastive Learning of General-Purpose Audio Representations

Papers


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Components


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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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