3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in audio-classification
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Use these libraries to find audio-classification models and implementations
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The experimental results show that the proposed deep learning-based single-channel multitarget underwater acoustic signal recognition method can effectively recognize synthetic multitarget ship signals when the magnitude STFT spectrum, complex-valued ST FT spectrum, and log-mel spectrum are used as network inputs.
Adding a benchmark result helps the community track progress.