School Area Noise Pollution Assessment Dataset

The core advantage of this dataset lies in its high level of data quality assurance, with annotation accuracy exceeding 95%. The standardization of the recording environment and strict quality control measures ensure data consistency and completeness. Technological innovations include the use of advanced sound source localization technology and automatic speech recognition methods, which enhance the efficiency and accuracy of noise event annotation. In terms of application value, this dataset supports the development of more efficient noise monitoring and management solutions, enabling real-time identification of noise sources within scenes. Compared to existing datasets, it offers a longer time span and wider geographical coverage. The unique samples of low noise and mixed environments of complex sound sources in the dataset provide a unique perspective and resources for research and development. Additionally, the dataset is highly scalable and can be adapted to different environmental monitoring tasks by adding collection devices and expanding the data scope.