Ast Finetuned Speech Commands V2

🚀 Audio Spectrogram Transformer (fine-tuned on Speech Commands v2)

The Audio Spectrogram Transformer (AST) model fine-tuned on Speech Commands v2, achieving state - of - the - art results in audio classification.

🚀 Quick Start

The Audio Spectrogram Transformer (AST) is a model fine - tuned on Speech Commands v2. 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

You can use the raw model to classify audio into one of the Speech Commands v2 classes. See the documentation for more information.

📚 Documentation

Model description

The Audio Spectrogram Transformer is equivalent to ViT, but applied on audio. Audio is first turned into an image (as a spectrogram), after which a Vision Transformer is applied. The model gets state - of - the - art results on several audio classification benchmarks.

📄 License

This model is released under the BSD 3 - Clause license.