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4. Secost: Sequential Co-Supervision For Large Scale Weakly Labeled Audio Event Detection

Secost: Sequential Co-Supervision For Large Scale Weakly Labeled Audio Event Detection

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IEEE ICASSP 2020 Virtual Conference May 2020

Weakly supervised learning algorithms are critical for scaling audio event detection to several hundreds of sound categories. Such learning models should not only disambiguate sound events efficiently with minimal class-specific annotation but also be rob

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Secost: Sequential Co-Supervision For Large Scale Weakly Labeled Audio Event Detection

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Weakly supervised learning algorithms are critical for scaling audio event detection to several hundreds of sound categories. Such learning models should not only disambiguate sound events efficiently with minimal class-specific annotation but also be rob