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SOTA
Audio Classification
Audio Classification On Speech Commands 1
Audio Classification On Speech Commands 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
EAT
98.3±0.04
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
AST-S
98.11±0.05
AST: Audio Spectrogram Transformer
PDC
97.8
Augmenting Deep Classifiers with Polynomial Neural Networks
ASM-RH
96.51
Mixer is more than just a model
EfficientLEAF
95.2
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
melspect
95.1
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
LEAF
95.1
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
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Audio Classification On Speech Commands 1 | SOTA | HyperAI