cochlscene

Created by Il-Young Jeong, Jeongsoo Park

version	1.0.0
license	CC-BY-SA-3.0
usage	unrestricted
languages
format	wav
channel	1
sampling rate	44100
bit depth	16
duration	8 days 19:25:50
files	76115, duration distribution: each file is 10.0 s
repository	audb-public

Description

Cochl Acoustic Scene Dataset (CochlScene), is an acoustic scene dataset whose recordings are fully collected from crowdsourcing participants. Most of the initial plans and guidelines for the processes were provided by the researchers in the field of audio signal processing and machine learning including the authors, and the actual process was performed by using the crowdsourcing platform developed by SelectStar, a Korean crowdsourcing data company. During the process, the initial plans were reinforced and modified from the discussion about the actual difficulty in the collection process. After extracting the subset of the total collections considering the purpose of the data, we collected 76,115 10 seconds files in 13 different acoustic scenes from 831 participants.

Example

train/Street/Street_user0391_14832713_003.wav

Tables

Click on a row to toggle a preview.

ID	Type	Columns
dev	filewise	scene	file scene dev/Bus/Bus_user0009_14897252_000.wav Bus dev/Bus/Bus_user0009_14897252_001.wav Bus dev/Bus/Bus_user0009_14897252_002.wav Bus dev/Bus/Bus_user0009_14897252_003.wav Bus dev/Bus/Bus_user0009_14897252_004.wav Bus 7573 rows x 1 column
test	filewise	scene	file scene test/Bus/Bus_user0017_14896147_000.wav Bus test/Bus/Bus_user0017_14896147_001.wav Bus test/Bus/Bus_user0017_14896147_002.wav Bus test/Bus/Bus_user0017_14896147_003.wav Bus test/Bus/Bus_user0017_14896147_004.wav Bus 7687 rows x 1 column
train	filewise	scene	file scene train/Bus/Bus_user0005_14867590_000.wav Bus train/Bus/Bus_user0005_14867590_001.wav Bus train/Bus/Bus_user0005_14867590_002.wav Bus train/Bus/Bus_user0005_14867590_003.wav Bus train/Bus/Bus_user0005_14867590_004.wav Bus 60855 rows x 1 column

Schemes

ID	Dtype	Labels
scene	str	Bus, Cafe, Car, CrowdedIndoor, Elevator, Kitchen, Park, ResidentialArea, Restaurant, Restroom, Street, Subway, SubwayStation