filename
stringlengths 12
12
| label
list |
---|---|
Y--vNfjUwxnc
|
[
"Guitar",
"Acoustic guitar",
"Music",
"Musical instrument",
"Strum",
"Plucked string instrument"
] |
Y--vrQOJyIZU
|
[
"Sampler",
"Music",
"Speech"
] |
Y--w5w_MKO4U
|
[
"Music",
"Choir",
"Male singing",
"Female singing"
] |
Y--wa_2e8_x0
|
[
"Music",
"Soul music"
] |
Y--wuU7kzB5o
|
[
"Truck",
"Vehicle"
] |
Y--x2hrwBV1s
|
[
"Funk",
"Jazz",
"Music",
"Dance music"
] |
Y--x2v4WepHw
|
[
"Chainsaw",
"Speech"
] |
Y--x6LTwa-k8
|
[
"Music",
"Sheep",
"Bleat"
] |
Y--xDCyf8_so
|
[
"Wind",
"Wind noise (microphone)"
] |
Y--xJurJrYQg
|
[
"Music",
"Orchestra"
] |
Y--xtQU-Wmp4
|
[
"Music",
"Speech"
] |
Y--yIlcZ27iI
|
[
"Music",
"Pop music",
"Speech"
] |
Y--yJcmmwiMc
|
[
"Guitar",
"Acoustic guitar",
"Music",
"Musical instrument",
"Strum",
"Plucked string instrument"
] |
Y--yLXxmQv8Y
|
[
"Motor vehicle (road)",
"Music",
"Vehicle",
"Speech"
] |
Y--yR5KGI8zI
|
[
"Narration, monologue",
"Female speech, woman speaking",
"Speech"
] |
Y--yaQA8d1dI
|
[
"Motor vehicle (road)",
"Vehicle",
"Car"
] |
Y--zDqIhJ-EM
|
[
"Gunshot, gunfire"
] |
Y--zLzL0sq3M
|
[
"Motor vehicle (road)",
"Vehicle",
"Speech",
"Car",
"Car passing by"
] |
Y--zej0hXqC4
|
[
"Engine",
"Speech",
"Engine starting"
] |
Y--zgVsqtUgE
|
[
"Air horn, truck horn",
"Speech",
"Outside, rural or natural"
] |
Y--zhXbba-tc
|
[
"Sampler",
"Music"
] |
Y-0-9MjhjYXo
|
[
"Hi-hat",
"Music",
"Musical instrument",
"Speech"
] |
Y-0-DsSrHHOU
|
[
"Guitar",
"Music",
"Musical instrument",
"Strum",
"Plucked string instrument"
] |
Y-0049eXE2Zc
|
[
"Music",
"Independent music",
"Soundtrack music"
] |
Y-00P0fHpsCc
|
[
"Music",
"Tender music"
] |
Y-00j9zuOIpw
|
[
"Music",
"Whoop"
] |
Y-0168TIoyTI
|
[
"Electronic music",
"Music",
"Dubstep"
] |
Y-01OUhiXYJQ
|
[
"Music",
"Speech",
"Choir"
] |
Y-01YByaybkc
|
[
"Slap, smack",
"Speech"
] |
Y-01gS-7GwUs
|
[
"Whack, thwack"
] |
Y-01oWr1Lx_4
|
[
"Honk"
] |
Y-020rqrlJcU
|
[
"Music",
"Male singing"
] |
Y-02Ez1W-VkA
|
[
"Singing",
"Tabla",
"Music"
] |
Y-02m1Zi-IXI
|
[
"Railroad car, train wagon",
"Rail transport",
"Train",
"Clickety-clack"
] |
Y-02sZMlMYIk
|
[
"Rain",
"Speech"
] |
Y-02wCf1lk2o
|
[
"Bagpipes",
"Wind instrument, woodwind instrument"
] |
Y-03Hd0MBgQY
|
[
"Electric piano",
"Music",
"Musical instrument",
"Keyboard (musical)",
"Piano",
"Synthesizer"
] |
Y-03_ppeUSwE
|
[
"Music",
"Soundtrack music",
"Sad music"
] |
Y-03c0AOsM2Y
|
[
"Tick-tock",
"Tick",
"Speech"
] |
Y-03ld83JliM
|
[
"Motor vehicle (road)",
"Music",
"Vehicle",
"Car"
] |
Y-03pwk56EKM
|
[
"Music",
"Smash, crash",
"Speech"
] |
Y-044saZCrTg
|
[
"Music",
"Rhythm and blues"
] |
Y-06BLnbz3dw
|
[
"Music",
"Rhythm and blues",
"Tender music"
] |
Y-06IiayZAEs
|
[
"Cheering",
"Speech"
] |
Y-06hIfWzzOU
|
[
"New-age music",
"Music"
] |
Y-073pOakZ44
|
[
"Timpani",
"Music"
] |
Y-07Ca35pao0
|
[
"Electronic music",
"Music",
"Whoosh, swoosh, swish",
"Dubstep",
"Speech"
] |
Y-07O11QVLxo
|
[
"Music",
"Telephone",
"Inside, small room"
] |
Y-08mBcf3--E
|
[
"Mantra"
] |
Y-08oFY6Zz6c
|
[
"Male singing",
"Child singing"
] |
Y-09LnWHTcGA
|
[
"Speech",
"Inside, small room"
] |
Y-09rxiqNNEs
|
[
"Siren",
"Civil defense siren"
] |
Y-09vejQ0eGM
|
[
"Music",
"Sonar"
] |
Y-0A1_JR5f34
|
[
"Domestic animals, pets",
"Bow-wow",
"Speech",
"Dog",
"Animal",
"Whimper (dog)"
] |
Y-0AU427IwUU
|
[
"Heavy metal",
"Music"
] |
Y-0BFQ9KYgq0
|
[
"Singing",
"Music",
"Musical instrument",
"Opera",
"Orchestra",
"Classical music"
] |
Y-0BTOaGTIc0
|
[
"Video game music",
"Theme music",
"Music",
"Soundtrack music"
] |
Y-0BkXTLgXJE
|
[
"Brass instrument",
"Music"
] |
Y-0C8GL3GY68
|
[
"Disco",
"Music"
] |
Y-0CMyVingHM
|
[
"Background music",
"Music",
"Soundtrack music"
] |
Y-0CQt5_1Zag
|
[
"Funk",
"Music",
"Soul music"
] |
Y-0C_uWbok5w
|
[
"Music",
"Sad music"
] |
Y-0Clh7A3hMI
|
[
"Bird",
"Bird vocalization, bird call, bird song",
"Chirp, tweet"
] |
Y-0CxF1A4yiM
|
[
"Female singing",
"Child singing"
] |
Y-0D0nNd42N4
|
[
"Music",
"Male singing",
"Female singing"
] |
Y-0D2RLfEy0A
|
[
"Funk",
"Music"
] |
Y-0DIFwkUpjQ
|
[
"Skateboard",
"Speech"
] |
Y-0DQ1Fv8Ej4
|
[
"Music",
"Rhythm and blues",
"Speech"
] |
Y-0DdLm4S2ls
|
[
"Music",
"Hip hop music",
"Inside, small room"
] |
Y-0DnqL2fsmI
|
[
"Marimba, xylophone",
"Glockenspiel",
"Mallet percussion"
] |
Y-0DxV8ZawEU
|
[
"Electronic music",
"Folk music",
"Crowd",
"Music"
] |
Y-0EIYbSmy48
|
[
"Rustle"
] |
Y-0EcY-RcH8M
|
[
"Heavy metal",
"Music",
"Rock music"
] |
Y-0F3UWMRsXg
|
[
"Television",
"Speech"
] |
Y-0FKnjMpiAI
|
[
"Music of Bollywood"
] |
Y-0FwJyWU5Eg
|
[
"Music",
"Music for children"
] |
Y-0GGPkKY3TU
|
[
"Jet engine",
"Vehicle",
"Aircraft"
] |
Y-0GNy8jFK_8
|
[
"Motorcycle",
"Vehicle",
"Tire squeal"
] |
Y-0GasiOh-Xg
|
[
"Crowd",
"Run",
"Speech",
"Outside, urban or manmade"
] |
Y-0HCoFwA-ZM
|
[
"Music",
"Television"
] |
Y-0Hf2I8AFI8
|
[
"Motor vehicle (road)",
"Fire engine, fire truck (siren)",
"Emergency vehicle",
"Toot",
"Truck",
"Vehicle",
"Traffic noise, roadway noise",
"Car"
] |
Y-0HsrVfb5vc
|
[
"Engine",
"Vehicle",
"Car"
] |
Y-0Hxe_afHfg
|
[
"Horse",
"Clip-clop",
"Speech"
] |
Y-0IcrfuRqH4
|
[
"Disco",
"Music",
"Speech"
] |
Y-0Id8lIl3Mg
|
[
"Music",
"Synthetic singing"
] |
Y-0J9HfwJ08c
|
[
"Engine",
"Idling",
"Vehicle",
"Medium engine (mid frequency)"
] |
Y-0JNMxLVqpk
|
[
"Fowl",
"Cluck"
] |
Y-0JimrDLSD4
|
[
"Narration, monologue",
"Male speech, man speaking",
"Speech",
"Speech synthesizer"
] |
Y-0Jx2nAH0c0
|
[
"Music",
"Speech",
"Hip hop music",
"Inside, small room"
] |
Y-0KSQubp3lw
|
[
"Music",
"Female singing"
] |
Y-0Kp4S9337k
|
[
"Wind chime",
"Chime"
] |
Y-0KxtqVxKAU
|
[
"Music",
"Classical music"
] |
Y-0KzkJ7kR8A
|
[
"Horse",
"Music",
"Clip-clop",
"Animal"
] |
Y-0M5z0r4Q8M
|
[
"Single-lens reflex camera"
] |
Y-0MrdSRq3cQ
|
[
"Tools"
] |
Y-0N43X6_6eU
|
[
"Waterfall"
] |
Y-0N94QVF92E
|
[
"Narration, monologue",
"Female speech, woman speaking",
"Speech"
] |
Y-0NWjbFxFbo
|
[
"Electric piano",
"Music",
"Musical instrument",
"Keyboard (musical)",
"Piano"
] |
Y-0Nmaj5w_7w
|
[
"Speech",
"Inside, small room"
] |
Y-0NxpZlO348
|
[
"Conversation",
"Male speech, man speaking",
"Speech"
] |
Subsets and Splits
Audioset Howl Samples
Retrieves 100 samples from the dataset that are labeled with 'Howl', providing basic information but limited insight.