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1,297 Hours Environmental Noise Dataset – Multi-Scenario Real-World Audio by Voice Recorder

real-world noise data
voice recorder audio
subway noise dataset
supermarket audio dataset
noise reduction training data
sound classification dataset
AI training audio data

This dataset contains 1,297 hours of environmental noise recordings collected using voice recorders across diverse real-world scenarios, including subways, supermarkets, restaurants, roads, and more. All recordings are annotated with timestamps and relevant metadata, making the data ideal for training AI models in noise reduction, environmental sound classification, audio preprocessing, and speech enhancement tasks. The dataset has been validated by leading AI companies and complies with global data protection regulations including GDPR, CCPA, and PIPL.

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This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Format
44.1kHz, 16bit, wav, dual-channel;
Content category
Noise;
Recording condition
Noisy environment, including restaurant, supermarket, subway, road, exhibition hall, bus and street;
Recording device
Sony ICD-UX560F voice recorder;
Features of annotation
timestamp and type for non-noise.
Sample Sample
  • Audio

  • Audio

  • Audio

  • Audio

  • Audio

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