beltrewilton
/

ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

Audio Classification

audio-spectrogram-transformer

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beltrewilton commited on Nov 20, 2023

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@@ -37,7 +37,7 @@ It achieves the following results on the evaluation set:
 ## Model description
-This model was generated as part of the [HF Audio course](https://huggingface.co/learn/audio-course/), I enjoyed it and currently this architecture achieves an amazing accuracy of 0.9 on the audio classification task.
 The Audio Spectrogram Transformer is equivalent to [ViT](https://huggingface.co/docs/transformers/model_doc/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.

 ## Model description
+This model was generated as part of the [HF Audio course](https://huggingface.co/learn/audio-course/), I enjoyed it and currently this architecture achieves an amazing accuracy of 0.9 on music-genre classification task.
 The Audio Spectrogram Transformer is equivalent to [ViT](https://huggingface.co/docs/transformers/model_doc/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.