Ast Finetuned Audioset 12 12 0.447

🚀 Audio Spectrogram Transformer (fine-tuned on AudioSet)

The Audio Spectrogram Transformer (AST) is a model fine-tuned on AudioSet. It addresses the audio - classification problem by leveraging the power of the Transformer architecture on audio spectrograms, offering state - of - the - art performance in relevant benchmarks.

🚀 Quick Start

The Audio Spectrogram Transformer (AST) is a model fine - tuned on AudioSet. It was introduced in the paper AST: Audio Spectrogram Transformer by Gong et al. and first released in this repository.

Disclaimer: The team releasing Audio Spectrogram Transformer did not write a model card for this model, so this model card has been written by the Hugging Face team.

✨ Features

• The Audio Spectrogram Transformer is equivalent to ViT, but applied to audio.
• Audio is first converted into an image (as a spectrogram), and then a Vision Transformer is applied.
• The model achieves state - of - the - art results on several audio classification benchmarks.

💻 Usage Examples

Basic Usage

You can use the raw model for classifying audio into one of the AudioSet classes. See the documentation for more info.

📄 License

The model is licensed under the BSD 3 - Clause license.