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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 (50+ Hours) |
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# Dataset summary |
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50+ hours of real-world urban environmental/ambient background noise (field recordings) without intelligible speech (speech-free), from three scenes: airport, street, subway. The dataset is non-synthetic and 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 ambient/background 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 — ambient/background noise |
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- street: sidewalks and roadways; traffic, wind, footsteps, street music as indistinct background ambient 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-world field recordings. No synthetic mixes; non-synthetic source audio |
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- No intelligible speech (speech-free). Natural crowd murmur allowed only when no single utterance is intelligible |
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- Only noise. Music, dominant speech, and close-up announcements are excluded |
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