license: bsd-3-clause
datasets:
- speech_commands
tags:
- audio-classification
model-index:
- name: MIT/ast-finetuned-speech-commands-v2
results:
- task:
type: audio-classification
dataset:
name: Speech Commands v2
type: speech_commands
metrics:
- type: accuracy
value: 98.12
Audio Spectrogram Transformer (fine-tuned on Speech Commands v2)
Audio Spectrogram Transformer (AST) 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.
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.
Usage
You can use the raw model for classifying audio into one of the Speech Commands v2 classes. See the documentation for more info.