Table 4 Mapping between the Silent Cities tags and the labels from the AudioSet ontology.

From: A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic

Final tag name

Corresponding labels in AudioSet Ontology

Category

Wind

Wind

Geophony

Rain

Rain

River

Stream/Waterfall

Wave

Ocean

Thunder

Thunderstorm

Bird

Bird vocalization, bird call, bird song/Pigeon, dove/Crow/Owl/Gull, seagull

Biophony

Amphibian

Frog

Insect

Insect

Mammal

Rodents, rats, mice/Canidae, dogs, wolves

Reptile

Snake

Walking

Run/Walk, footsteps

Anthropophony

Cycling

Bicycle/Bicycle bell

Beep

Reversing beeps

Car

Car passing by/Tire squeal

Car honk

Vehicle horn, car horn, honking

Motorbike

Motorcycle

Plane

Aircraft engine/Fixed-wing aircraft, airplane

Helicopter

Helicopter

Boat

Motorboat, speedboat/Ship/Sailboat, sailing ship

Other motors

Traffic noise, roadway noise

Shoot

Gunshot, gunfire

Bell

Chime/Jingle bell/Cowbell/Church bell/Change ringing (campanology)

Talking

Speech/Hubbub, speech noise, speech babble/

Music

Music

Dog bark

Dog

Rolling shutter

Power windows, electric windows

Kitchen sounds

Door/Cupboard open or close/Drawer open or close/Dishes, pots, and pans/

Cutlery, silverware/Chopping (food)/Sink (filling or washing)/Water tap, faucet/Kettle whistle/

Microwave oven/Blender

  1. Each tag is computed using the maximum probability output from the pretrained network among the corresponding Audioset labels. Finally, the three tags Antropophony, Geophony and Biophony are computed using the maximum tag probability in the category.