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The linked article is about a machine learning-based drum sound event detection (desed) project. The project aims to develop a robust and accurate system for detecting and classifying drum sounds in audio recordings. The article provides an overview of the project, including its goals, methodology, and the dataset used for training the machine learning models. It also discusses the challenges involved in drum sound event detection and the potential applications of the technology, such as music analysis and production.