CLAP
This open-source project utilizes advanced contrastive learning to extract latent audio and text representations, optimizing AI processing capabilities. Supported by IEEE ICASSP 2023, it extends compatibility with large-scale datasets and diverse downstream tasks, seamlessly integrating with Hugging Face Transformers. Ideal for researchers in audio understanding and data enhancement, with pre-trained checkpoints enhancing model performance.
