Update README.md

README.md

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 ## Speech-Free Background Noise Dataset — Real-World, Non-Synthetic (360 Hours)
 
 # Dataset summary
-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
+360 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 noise to clean speech
+- 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
-- street: sidewalks and roadways; traffic, wind, footsteps, street music as indistinct background noise
+- 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 recordings. No synthetic mixes, babble noise from summing up clear speech, etc
-- No intelligible speech. Only natural crowd noise where no single utterance is intelligible is allowed
+- 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