Datasets:
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---
license: cc-by-nc-4.0
language:
- en
tags:
- noise
- Ambient Noise
- Noise Collection
- background noise
---
## Speech-Free Background Noise Dataset — Real-World, Non-Synthetic (50+ Hours)
# Dataset summary
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
# Purpose and usage scenarios
- Speech enhancement: adding ambient/background noise to clean speech
- Sound Event Detection: background samples without target events/speech; negative samples and false alarm rate estimation
- Filtering/noise reduction: training noise reduction models without the risk of intelligible speech leakage
# Noise Environments
- airport: terminals, corridors, gates, baggage areas — ambient/background noise
- street: sidewalks and roadways; traffic, wind, footsteps, street music as indistinct background ambient noise
- subway: platform, train car, passageways; braking/acceleration, tunnel rumble, doors, announcements as indistinct background noise
# Features:
- Only real-world field recordings. No synthetic mixes; non-synthetic source audio
- No intelligible speech (speech-free). Natural crowd murmur allowed only when no single utterance is intelligible
- Only noise. Music, dominant speech, and close-up announcements are excluded
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