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• W2016332269 abstract "A recognition system for environmental sounds is presented. Signal-driven classification is performed by applying machine-learning techniques on features extracted from a cochleogram. These possibly unreliable classifications are improved by creating expectancies of sound events based on context information." @default.
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• W2016332269 date "2010-09-01" @default.
• W2016332269 modified "2023-09-24" @default.
• W2016332269 title "Sound event recognition through expectancy-based evaluation ofsignal-driven hypotheses" @default.
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• W2016332269 doi "https://doi.org/10.1016/j.patrec.2009.11.004" @default.
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