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README.md
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license: cc-by-nc-4.0
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---
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license: cc-by-nc-4.0
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language:
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- en
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tags:
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- noise
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- Ambient Noise
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- Noise Collection
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- background noise
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---
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## Speech-Free Background Noise Dataset — Real-World, Non-Synthetic (360 Hours)
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# Dataset summary
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360 hours of real background noise without intelligible speech, from three scenes: airport, street, subway. The dataset is intended for speech enhancement via noise augmentation and sound event detection (SED) as “clean background”/negative class
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# Purpose and usage scenarios
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- Speech enhancement: adding noise to clean speech
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- Sound Event Detection: background samples without target events/speech; negative samples and false alarm rate estimation
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- Filtering/noise reduction: training noise reduction models without the risk of intelligible speech leakage
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# Noise Environments
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- airport: terminals, corridors, gates, baggage areas
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- street: sidewalks and roadways; traffic, wind, footsteps, street music as indistinct background noise
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- subway: platform, train car, passageways; braking/acceleration, tunnel rumble, doors, announcements as indistinct background noise
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# Features:
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- Only real recordings. No synthetic mixes, babble noise from summing up clear speech, etc
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- No intelligible speech. Only natural crowd noise where no single utterance is intelligible is allowed
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- Only noise. Music, dominant speech, and close-up announcements are excluded
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