AcousticSceneBD: A real-world environmental audio dataset for acoustic scene classification in Bangladesh

Published: 14 July 2026| Version 1 | DOI: 10.17632/bynmzy4dp6.1
Contributors:
,
,
,
, Raihan Ul Islam

Description

we introduce a real-world environmental audio dataset named AcousticSceneBD, with a total of 5535 recordings across 7 classes of acoustic scenes: Bus, Metro, Metro Station, Park, Restaurant, Shopping Mall, and University. All recordings were conducted using the standard operating conditions of the smartphone's microphone and with all files standardized following the same procedure: 10-second, mono, 16-bit WAV at 44.1/48 kHz for a total of 15.37 hours.

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Categories

Acoustics, Machine Learning, Audio Analysis, Acoustic Signal Processing

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