Model Selection

AudioSet Fine-tuning

# AudioSet Fine-tuning

Vit Base Patch16 1024 128.audiomae As2m Ft As20k

A Vision Transformer (ViT)-based audio processing model, pre-trained on AudioSet-2M using self-supervised masked autoencoder (MAE) method and fine-tuned on AudioSet-20k

Audio Classification

Ast Finetuned Audioset 16 16 0.442

An audio spectrogram transformer fine-tuned on the AudioSet dataset, utilizing a vision transformer architecture to process audio spectrograms, achieving excellent performance in audio classification tasks.

Audio Classification

Ast Finetuned Audioset 14 14 0.443

An audio spectrogram transformer fine-tuned on the AudioSet dataset, which converts audio into spectrograms and processes them using a vision transformer architecture, achieving excellent performance in audio classification tasks.

Audio Classification

Ast Finetuned Audioset 12 12 0.447

An Audio Spectrogram Transformer (AST) fine-tuned on the AudioSet dataset, using ViT architecture to process audio spectrograms, achieving excellent performance on multiple audio classification benchmarks.

Audio Classification

Ast Finetuned Audioset 10 10 0.448 V2

An audio spectrogram transformer fine-tuned on the AudioSet dataset, which converts audio into spectrograms and processes them using a vision transformer, excelling in audio classification tasks.

Audio Classification

Ast Finetuned Audioset 10 10 0.448

An Audio Spectrogram Transformer (AST) fine-tuned on the AudioSet dataset, utilizing a vision transformer architecture to process audio spectrograms, achieving excellent performance in audio classification tasks.

Audio Classification

Ast Finetuned Audioset 10 10 0.4593

The Audio Spectrogram Transformer (AST) is a model fine-tuned on AudioSet, which converts audio into spectrograms and applies a vision transformer for audio classification.

Audio Classification

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