Update README.md

README.md

@@ -8,22 +8,22 @@ tags:
 - Noise Collection
 - background noise
 ---
-## Speech-Free Background Noise Dataset — Real-World, Non-Synthetic (50+ Hours)
+# Speech-Free Background Noise Dataset — Real-World, Non-Synthetic (50+ Hours)
 
-# Dataset summary
+## 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
+## 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
+## 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:
+## 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