Keyword Spotting on Google Speech Commands
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Keyword Spotting on Google Speech Commands
Most implemented papers
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network
Alibaba-MIIL/AudioClassfication
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While efficient architectures and a plethora of augmentations for end-to-end image classification tasks have been suggested and heavily investigated, state-of-the-art techniques for audio classifications still rely on numerous representations of the audio signal together with large architectures, fine-tuned from large datasets.
Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input
nttcslab/m2d
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We propose a new method, Masked Modeling Duo (M2D), that learns representations directly while obtaining training signals using only masked patches.
