START_UTC_TIMESTAMP	END_UTC_TIMESTAMP	MIN_DB_VALUE	MAX_DB_VALUE	AVG_DB_VALUE	VENUE_NAME	VENUE_TYPE	VENUE_SUBTYPE	CONVERSATION	OCCUPANCE	PLACE	VENUE_PLACE	VENUE_QA	DEVICE_TYPE	COUNTRY	STATE	CITY	POSTCODE	STARTLAT	STARTLONG
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Request Sample Access

Attribute	Type	Example
START_UTC_TIMESTAMP	String	1743617417546
END_UTC_TIMESTAMP	String	1743617438990
MIN_DB_VALUE	Float	63.60825348
MAX_DB_VALUE	Float	73.12963104
AVG_DB_VALUE	Float	66.85712992
VENUE_NAME	String	Paris Baguette
VENUE_TYPE	String	commercial
VENUE_SUBTYPE	String	food_and_drink
CONVERSATION	String	moderate
OCCUPANCE	String	medium
PLACE	String	outside
VENUE_PLACE	String	{"placeId":"519104e10a287e52c0599ad9b743c3654440f00103f9012f1c72b80100000092030e5061726973204261677565747465","venueLocation":{"coordinates":[-73.971194,40.7950215],"type":"Point"},"venueName":"Par...
VENUE_QA	String	{"conversation":"moderate","occupance":"medium","place":"outside"}
DEVICE_TYPE	String	android
COUNTRY	String	United States
STATE	String	New York
CITY	String	New York
POSTCODE	Integer	10025
STARTLAT	Float	40.7950215
STARTLONG	Float	-73.971194

Description

Connect with our experts for Street and Venue Noise-Level Data. Unlock unique insights into the real-world acoustic environment of cities and venues across 180+ countries. Silencio has built the world’s largest database on noise levels, statistically interpolated using over 35 billion datapoints, developed in collaboration with leading acoustics professionals. Unlike traditional models that rely solely on computed estimations, our dataset uniquely combines real-world measurements with AI-driven predictions to deliver the most accurate and reliable noise-level data available today. Maximize AI Performance with the World’s Largest Real-World Noise-Level Dataset What sets our dataset apart? Silencio’s Street and Venue Noise-Level Data is the world’s largest and most accurate collection of real-world acoustic data, combining over 35 billion datapoints with AI-driven interpolation, developed together with professional acousticians. Unlike synthetic models, our dataset integrates real measurements and AI predictions to provide unparalleled ground truth for AI training. Designed for AI Applications: Empower your AI models with high-quality, diverse, and realistic acoustic data. Ideal for training AI in sound recognition, noise mapping, autonomous systems, smart cities, mobility intelligence, and beyond. Reliable & Compliant: Collected through our mobile app with explicit user consent, fully anonymized, and fully GDPR-compliant, ensuring ethical sourcing and regulatory alignment. Historical & Real-Time: Train models using both historical and continuously updated data to improve accuracy and robustness over time and across regions. Granular & Customizable: Globally available, highly granular, and adaptable to your AI pipeline needs — from raw acoustic datapoints to aggregated sound profiles. Simple Integration: Delivered via CSV exports or S3 bucket delivery (APIs coming soon), allowing smooth integration into your existing AI training workflows.