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Home > All Category Datasets > Speech Recognition Datasets > 101 Hours Environmental Noise Audio Dataset – Multi-Scene Ambient Sounds Recorded by Voice Recorder

101 Hours Environmental Noise Audio Dataset – Multi-Scene Ambient Sounds Recorded by Voice Recorder

environmental noise dataset
ambient sound recordings
voice recorder audio dataset
background noise dataset
subway noise
city soundscapes
airport audio data
sound recognition dataset
AI training audio
multi-scene noise dataset

This dataset contains 101 hours of environmental noise recordings captured using high-quality voice recorders across a wide range of real-world locations, including subways, supermarkets, dining halls, city streets, airports, cinemas, expressways, and high-speed trains. It offers diverse ambient sound conditions ideal for tasks such as noise reduction, environmental sound classification, and audio preprocessing in speech or sound recognition systems. The data has been validated by major AI companies and complies with data protection regulations including GDPR, CCPA, and PIPL.

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SpecificationsSpecifications
Format
44.1kHz, 16bit, wav, dual-channel;
Content category
Noise;
Recording condition
Noisy scenarios including subway, supermarket, dinning hall, street, exhibition hall, airport, cinema, high-speed train,express way, roads in city(in car);
Recording device
Sony ICD-UX560F voice recorder.
Sample Sample
  • Audio

    Scenes:Subway

  • Audio

    Scenes：High-speed train

  • Audio

    Scenes:Airport

  • Audio

    Scenes：Expressway

  • Audio

    Scenes:Rodes in the city(in car)

Recommended DatasetsRecommended Dataset
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This dataset contains 19 hours of real-world ambient noise recordings captured in bus environments using the Tascam DR-07x voice recorder. The audio was collected from both in-bus scenes and bus platform areas under various real-life conditions. The dataset reflects authentic public transportation soundscapes including engine hum, passenger chatter, door movement, platform announcements, and other background noises. It is suitable for a wide range of applications such as acoustic scene classification, noise suppression, automatic speech recognition (ASR) in noisy environments, and audio enhancement models. The dataset has been tested and validated by leading AI companies and adheres strictly to global data protection standards including GDPR, CCPA, and PIPL, ensuring compliance and safe use in commercial and research applications.

bus noise dataset in-bus ambient sound public transport audio data vehicle noise dataset DR-07x noise recording transportation ambient sound real-world noise dataset speech enhancement noise dataset
1,297 Hours Environmental Noise Dataset – Multi-Scenario Real-World Audio by Voice Recorder

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.

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