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Mobiusi/School-Area-Noise-Pollution-Assessment-Dataset

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… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/School-Area-Noise-Pollution-Assessment-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face
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Dataset Card

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.

Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
audio_ratestringAudio sample rate
audio_channelstringAudio channel
noise_levelfloatRepresents the intensity of noise in the audio file, measured in decibels.
noise_typestringDescribes the main type of noise source identified in the audio such as traffic noise, human voices, construction noise, etc.
dominant_frequencyfloatThe dominant frequency of the noise in the audio signal, measured in Hertz.
audio_qualitystringEvaluation of the overall quality of the audio file such as clear, muffled, etc.
numofpeak_soundsintThe number of peak sounds in the audio that exceed a certain noise level.
ambientsoundlevelfloatRecords the average sound level of background noise in the audio.
soundeventcountintThe number of different sound events detected in the audio.
psychoacoustic_annoyancefloatThe psychoacoustic annoyance index calculated based on the audio noise.

Compliance Statement

<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com