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What is Laughter Detection Using C4.5 Algorithm about?

This technical report describes research on detecting laughter in noisy audio recordings using machine learning techniques. The researchers collected audio samples from volunteers that included laughter, speech, and other sounds like coughing. They used an autoregression algorithm to extract features from the samples and trained a C4.5 decision tree classifier on the data. The C4.5 model achieved better results for laughter detection compared to prior work and was fast enough for real-time applications once

Author

Myagmarbayar Nergui

Language

EN