Datasets:
audio_filename
audioduration (s) 0.13
0.5
| labels
sequencelengths 1
5
| scores
sequencelengths 1
5
|
|---|---|---|
[
"Speech"
] |
[
-0.32349
] |
|
[
"Speech"
] |
[
0.34375
] |
|
[
"Speech"
] |
[
0.26587
] |
|
[
"Speech"
] |
[
0.28711
] |
|
[
"Speech"
] |
[
-0.66699
] |
|
[
"Gush"
] |
[
-2.83008
] |
|
[
"Speech"
] |
[
0.31982
] |
|
[
"Speech"
] |
[
-0.0242
] |
|
[
"Speech"
] |
[
-0.09912
] |
|
[
"Speech"
] |
[
0.11475
] |
|
[
"Speech"
] |
[
0.44507
] |
|
[
"Gush"
] |
[
-2.96094
] |
|
[
"Speech"
] |
[
0.11377
] |
|
[
"Speech"
] |
[
0.37354
] |
|
[
"Speech"
] |
[
0.45166
] |
|
[
"Speech"
] |
[
0.08911
] |
|
[
"Speech"
] |
[
0.12646
] |
|
[
"Speech"
] |
[
-0.03409
] |
|
[
"Toothbrush"
] |
[
-2.88477
] |
|
[
"Toothbrush"
] |
[
-0.99902
] |
|
[
"Toothbrush"
] |
[
-2.71289
] |
|
[
"Music"
] |
[
-1.70898
] |
|
[
"Music"
] |
[
-1.07617
] |
|
[
"Music"
] |
[
-0.70996
] |
|
[
"Music"
] |
[
-1.55273
] |
|
[
"Music"
] |
[
-1.7832
] |
|
[
"Music"
] |
[
-0.55518
] |
|
[
"Music"
] |
[
-1.30371
] |
|
[
"Music"
] |
[
-0.82568
] |
|
[
"Music"
] |
[
-0.52344
] |
|
[
"Music"
] |
[
-0.19812
] |
|
[
"Music"
] |
[
-1.9209
] |
|
[
"Music"
] |
[
-2.83984
] |
|
[
"Music"
] |
[
-2.625
] |
|
[
"Goat"
] |
[
-1.63086
] |
|
[
"Music"
] |
[
-3.10352
] |
|
[
"Music"
] |
[
-2.68945
] |
|
[
"Music"
] |
[
-3.37109
] |
|
[
"Music"
] |
[
-2.99609
] |
|
[
"Music"
] |
[
-3.2168
] |
|
[
"Male singing"
] |
[
-3.73438
] |
|
[
"Child singing"
] |
[
-3.19141
] |
|
[
"Cap gun",
"Gunshot, gunfire"
] |
[
-2.63086,
-3.05469
] |
|
[
"Cap gun"
] |
[
-2.7168
] |
|
[
"Cap gun",
"Gunshot, gunfire"
] |
[
-1.16309,
-1.80859
] |
|
[
"Cap gun",
"Gunshot, gunfire"
] |
[
-0.37769,
-1.31445
] |
|
[
"Cap gun",
"Gunshot, gunfire"
] |
[
-2.75977,
-3.2168
] |
|
[
"Cap gun",
"Gunshot, gunfire"
] |
[
-3.63867,
-3.97852
] |
|
[
"Singing"
] |
[
-2.0957
] |
|
[
"Singing"
] |
[
-3.07422
] |
|
[
"Bang"
] |
[
-3.16211
] |
|
[
"Singing"
] |
[
-2.36133
] |
|
[
"Singing"
] |
[
-2.61719
] |
|
[
"Music"
] |
[
-0.43945
] |
|
[
"Music"
] |
[
-0.25488
] |
|
[
"Music"
] |
[
-0.20325
] |
|
[
"Music"
] |
[
-0.625
] |
|
[
"Music"
] |
[
-0.0636
] |
|
[
"Music"
] |
[
-0.81348
] |
|
[
"Music"
] |
[
-0.06665
] |
|
[
"Music"
] |
[
-0.04346
] |
|
[
"Music"
] |
[
-0.3064
] |
|
[
"Music"
] |
[
-0.33984
] |
|
[
"Music"
] |
[
-0.64502
] |
|
[
"Music"
] |
[
-0.15625
] |
|
[
"Music"
] |
[
0.34741
] |
|
[
"Music"
] |
[
0.19861
] |
|
[
"Music"
] |
[
-0.48755
] |
|
[
"Music"
] |
[
-0.07104
] |
|
[
"Music"
] |
[
0.07593
] |
|
[
"Music"
] |
[
0.07361
] |
|
[
"Music"
] |
[
-0.2489
] |
|
[
"Music"
] |
[
-0.27417
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.39062,
-0.87939,
-2.19922
] |
|
[
"Water"
] |
[
-2.39648
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.62891,
-0.89404,
-2.38867
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
0.15381,
-0.18127,
-0.45581
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-0.28247,
-0.52295,
-0.89746
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.05371,
-0.69922,
-1.60059
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.73926,
-1.12891,
-1.96582
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.35352,
-0.98633,
-1.75488
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-0.75,
-0.71533,
-1.63086
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-0.95508,
-0.45312,
-1.33105
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-3.83594,
-3.375,
-3.8125
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.07422,
-0.67773,
-1.06445
] |
|
[
"Water tap, faucet",
"Water"
] |
[
-1.7998,
-0.88818
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-1.17773,
-1.23633,
-1.65137
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-0.96875,
-0.34839,
-1.48047
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-0.4978,
-0.38062,
-1.48242
] |
|
[
"Water tap, faucet",
"Water",
"Sink (filling or washing)"
] |
[
-0.35913,
-0.59473,
-1.05371
] |
|
[
"Water tap, faucet",
"Water"
] |
[
-1.92188,
-0.78906
] |
|
[
"Water"
] |
[
-1.46191
] |
|
[
"Music"
] |
[
0.38745
] |
|
[
"Music"
] |
[
0.1156
] |
|
[
"Music"
] |
[
0.27148
] |
|
[
"Music"
] |
[
0.63818
] |
|
[
"Music"
] |
[
0.41333
] |
|
[
"Music"
] |
[
0.34521
] |
|
[
"Music"
] |
[
0.41724
] |
|
[
"Music"
] |
[
0.38159
] |
End of preview. Expand
in Data Studio
AudioSet Chunk
Chunk AudioSet every 0.25 seconds and 0.5 seconds and predict using MIT/ast-finetuned-audioset-10-10-0.4593, after that only filter and labels predicted overlapped with the gold labels.
Only chunk on balanced_train_segments.zip and eval_segments.zip.
Statistics
0.25 seconds
0 Speech : 97017
1 Male speech, man speaking : 1508
2 Female speech, woman speaking : 153
3 Child speech, kid speaking : 485
4 Conversation : 0
5 Narration, monologue : 1576
6 Babbling : 18
7 Speech synthesizer : 159
8 Shout : 0
9 Bellow : 192
10 Whoop : 571
11 Yell : 117
12 Battle cry : 689
13 Children shouting : 279
14 Screaming : 207
15 Whispering : 282
16 Laughter : 721
17 Baby laughter : 232
18 Giggle : 474
19 Snicker : 674
20 Belly laugh : 54
21 Chuckle, chortle : 507
22 Crying, sobbing : 74
23 Baby cry, infant cry : 549
24 Whimper : 131
25 Wail, moan : 165
26 Sigh : 370
27 Singing : 10724
28 Choir : 2469
29 Yodeling : 115
30 Chant : 749
31 Mantra : 1165
32 Male singing : 501
33 Female singing : 269
34 Child singing : 183
35 Synthetic singing : 50
36 Rapping : 154
37 Humming : 292
38 Groan : 180
39 Grunt : 1014
40 Whistling : 1170
41 Breathing : 14
42 Wheeze : 41
43 Snoring : 224
44 Gasp : 956
45 Pant : 380
46 Snort : 476
47 Cough : 125
48 Throat clearing : 903
49 Sneeze : 264
50 Sniff : 1
51 Run : 126
52 Shuffle : 61
53 Walk, footsteps : 41
54 Chewing, mastication : 339
55 Biting : 533
56 Gargling : 567
57 Stomach rumble : 937
58 Burping, eructation : 751
59 Hiccup : 40
60 Fart : 574
61 Hands : 13
62 Finger snapping : 1045
63 Clapping : 676
64 Heart sounds, heartbeat : 2311
65 Heart murmur : 1233
66 Cheering : 899
67 Applause : 2031
68 Chatter : 29
69 Crowd : 4164
70 Hubbub, speech noise, speech babble : 9
71 Children playing : 4
72 Animal : 23959
73 Domestic animals, pets : 4682
74 Dog : 2269
75 Bark : 149
76 Yip : 119
77 Howl : 1183
78 Bow-wow : 588
79 Growling : 14
80 Whimper (dog) : 39
81 Cat : 1074
82 Purr : 1465
83 Meow : 487
84 Hiss : 828
85 Caterwaul : 68
86 Livestock, farm animals, working animals : 585
87 Horse : 350
88 Clip-clop : 280
89 Neigh, whinny : 290
90 Cattle, bovinae : 630
91 Moo : 543
92 Cowbell : 1072
93 Pig : 13
94 Oink : 133
95 Goat : 138
96 Bleat : 361
97 Sheep : 355
98 Fowl : 3538
99 Chicken, rooster : 971
100 Cluck : 540
101 Crowing, cock-a-doodle-doo : 390
102 Turkey : 706
103 Gobble : 753
104 Duck : 463
105 Quack : 726
106 Goose : 477
107 Honk : 652
108 Wild animals : 64
109 Roaring cats (lions, tigers) : 197
110 Roar : 637
111 Bird : 3942
112 Bird vocalization, bird call, bird song : 1572
113 Chirp, tweet : 663
114 Squawk : 518
115 Pigeon, dove : 1135
116 Coo : 856
117 Crow : 1017
118 Caw : 980
119 Owl : 1029
120 Hoot : 925
121 Bird flight, flapping wings : 36
122 Canidae, dogs, wolves : 384
123 Rodents, rats, mice : 313
124 Mouse : 100
125 Patter : 30
126 Insect : 2317
127 Cricket : 882
128 Mosquito : 1113
129 Fly, housefly : 1595
130 Buzz : 173
131 Bee, wasp, etc. : 509
132 Frog : 1116
133 Croak : 784
134 Snake : 174
135 Rattle : 273
136 Whale vocalization : 123
137 Music : 409971
138 Musical instrument : 25641
139 Plucked string instrument : 11946
140 Guitar : 13915
141 Electric guitar : 1647
142 Bass guitar : 608
143 Acoustic guitar : 1661
144 Steel guitar, slide guitar : 53
145 Tapping (guitar technique) : 0
146 Strum : 241
147 Banjo : 599
148 Sitar : 352
149 Mandolin : 492
150 Zither : 89
151 Ukulele : 375
152 Keyboard (musical) : 2395
153 Piano : 1877
154 Electric piano : 855
155 Organ : 1837
156 Electronic organ : 494
157 Hammond organ : 389
158 Synthesizer : 177
159 Sampler : 11
160 Harpsichord : 1874
161 Percussion : 3408
162 Drum kit : 2752
163 Drum machine : 282
164 Drum : 4631
165 Snare drum : 829
166 Rimshot : 12
167 Drum roll : 135
168 Bass drum : 1454
169 Timpani : 852
170 Tabla : 192
171 Cymbal : 167
172 Hi-hat : 77
173 Wood block : 698
174 Tambourine : 323
175 Rattle (instrument) : 138
176 Maraca : 263
177 Gong : 2275
178 Tubular bells : 163
179 Mallet percussion : 341
180 Marimba, xylophone : 1448
181 Glockenspiel : 538
182 Vibraphone : 378
183 Steelpan : 65
184 Orchestra : 532
185 Brass instrument : 5020
186 French horn : 1807
187 Trumpet : 1230
188 Trombone : 1059
189 Bowed string instrument : 3018
190 String section : 0
191 Violin, fiddle : 2682
192 Pizzicato : 247
193 Cello : 1485
194 Double bass : 497
195 Wind instrument, woodwind instrument : 4252
196 Flute : 949
197 Saxophone : 149
198 Clarinet : 242
199 Harp : 358
200 Bell : 1852
201 Church bell : 1680
202 Jingle bell : 545
203 Bicycle bell : 1515
204 Tuning fork : 1347
205 Chime : 1475
206 Wind chime : 1256
207 Change ringing (campanology) : 2926
208 Harmonica : 546
209 Accordion : 1125
210 Bagpipes : 2206
211 Didgeridoo : 1723
212 Shofar : 624
213 Theremin : 486
214 Singing bowl : 1207
215 Scratching (performance technique) : 209
216 Pop music : 179
217 Hip hop music : 148
218 Beatboxing : 164
219 Rock music : 463
220 Heavy metal : 1279
221 Punk rock : 28
222 Grunge : 0
223 Progressive rock : 29
224 Rock and roll : 135
225 Psychedelic rock : 0
226 Rhythm and blues : 2
227 Soul music : 0
228 Reggae : 7
229 Country : 61
230 Swing music : 16
231 Bluegrass : 333
232 Funk : 1
233 Folk music : 2
234 Middle Eastern music : 6
235 Jazz : 1
236 Disco : 2
237 Classical music : 49
238 Opera : 1375
239 Electronic music : 2318
240 House music : 28
241 Techno : 1602
242 Dubstep : 1257
243 Drum and bass : 15
244 Electronica : 0
245 Electronic dance music : 101
246 Ambient music : 535
247 Trance music : 113
248 Music of Latin America : 8
249 Salsa music : 80
250 Flamenco : 198
251 Blues : 0
252 Music for children : 5
253 New-age music : 212
254 Vocal music : 30
255 A capella : 84
256 Music of Africa : 18
257 Afrobeat : 56
258 Christian music : 2
259 Gospel music : 66
260 Music of Asia : 3
261 Carnatic music : 369
262 Music of Bollywood : 2
263 Ska : 2
264 Traditional music : 3
265 Independent music : 3
266 Song : 0
267 Background music : 362
268 Theme music : 1719
269 Jingle (music) : 132
270 Soundtrack music : 593
271 Lullaby : 65
272 Video game music : 1886
273 Christmas music : 0
274 Dance music : 2
275 Wedding music : 0
276 Happy music : 1
277 Funny music : 76
278 Sad music : 4
279 Tender music : 0
280 Exciting music : 33
281 Angry music : 34
282 Scary music : 1155
283 Wind : 2920
284 Rustling leaves : 541
285 Wind noise (microphone) : 3528
286 Thunderstorm : 644
287 Thunder : 985
288 Water : 8601
289 Rain : 3443
290 Raindrop : 1357
291 Rain on surface : 2267
292 Stream : 820
293 Waterfall : 2844
294 Ocean : 868
295 Waves, surf : 1384
296 Steam : 877
297 Gurgling : 113
298 Fire : 0
299 Crackle : 272
300 Vehicle : 53935
301 Boat, Water vehicle : 2485
302 Sailboat, sailing ship : 39
303 Rowboat, canoe, kayak : 53
304 Motorboat, speedboat : 887
305 Ship : 0
306 Motor vehicle (road) : 127
307 Car : 14428
308 Vehicle horn, car horn, honking : 984
309 Toot : 137
310 Car alarm : 916
311 Power windows, electric windows : 35
312 Skidding : 338
313 Tire squeal : 88
314 Car passing by : 652
315 Race car, auto racing : 104
316 Truck : 963
317 Air brake : 11
318 Air horn, truck horn : 1035
319 Reversing beeps : 261
320 Ice cream truck, ice cream van : 897
321 Bus : 560
322 Emergency vehicle : 6140
323 Police car (siren) : 1877
324 Ambulance (siren) : 1926
325 Fire engine, fire truck (siren) : 1684
326 Motorcycle : 353
327 Traffic noise, roadway noise : 0
328 Rail transport : 2647
329 Train : 5774
330 Train whistle : 420
331 Train horn : 390
332 Railroad car, train wagon : 2822
333 Train wheels squealing : 141
334 Subway, metro, underground : 298
335 Aircraft : 1009
336 Aircraft engine : 35
337 Jet engine : 1610
338 Propeller, airscrew : 75
339 Helicopter : 443
340 Fixed-wing aircraft, airplane : 283
341 Bicycle : 20
342 Skateboard : 95
343 Engine : 8130
344 Light engine (high frequency) : 3
345 Dental drill, dentist's drill : 442
346 Lawn mower : 342
347 Chainsaw : 884
348 Medium engine (mid frequency) : 1438
349 Heavy engine (low frequency) : 655
350 Engine knocking : 296
351 Engine starting : 151
352 Idling : 2248
353 Accelerating, revving, vroom : 2694
354 Door : 312
355 Doorbell : 705
356 Ding-dong : 575
357 Sliding door : 224
358 Slam : 487
359 Knock : 432
360 Tap : 331
361 Squeak : 702
362 Cupboard open or close : 3
363 Drawer open or close : 0
364 Dishes, pots, and pans : 216
365 Cutlery, silverware : 237
366 Chopping (food) : 596
367 Frying (food) : 414
368 Microwave oven : 493
369 Blender : 412
370 Water tap, faucet : 1718
371 Sink (filling or washing) : 1103
372 Bathtub (filling or washing) : 64
373 Hair dryer : 1688
374 Toilet flush : 732
375 Toothbrush : 509
376 Electric toothbrush : 1031
377 Vacuum cleaner : 583
378 Zipper (clothing) : 216
379 Keys jangling : 19
380 Coin (dropping) : 802
381 Scissors : 202
382 Electric shaver, electric razor : 1323
383 Shuffling cards : 100
384 Typing : 868
385 Typewriter : 1033
386 Computer keyboard : 985
387 Writing : 55
388 Alarm : 597
389 Telephone : 209
390 Telephone bell ringing : 711
391 Ringtone : 655
392 Telephone dialing, DTMF : 240
393 Dial tone : 1030
394 Busy signal : 942
395 Alarm clock : 427
396 Siren : 10029
397 Civil defense siren : 2772
398 Buzzer : 965
399 Smoke detector, smoke alarm : 1396
400 Fire alarm : 766
401 Foghorn : 734
402 Whistle : 1121
403 Steam whistle : 1201
404 Mechanisms : 843
405 Ratchet, pawl : 248
406 Clock : 86
407 Tick : 186
408 Tick-tock : 339
409 Gears : 365
410 Pulleys : 51
411 Sewing machine : 126
412 Mechanical fan : 4
413 Air conditioning : 189
414 Cash register : 236
415 Printer : 181
416 Camera : 79
417 Single-lens reflex camera : 244
418 Tools : 1606
419 Hammer : 387
420 Jackhammer : 310
421 Sawing : 1043
422 Filing (rasp) : 341
423 Sanding : 1082
424 Power tool : 1190
425 Drill : 887
426 Explosion : 1510
427 Gunshot, gunfire : 1766
428 Machine gun : 768
429 Fusillade : 151
430 Artillery fire : 613
431 Cap gun : 84
432 Fireworks : 477
433 Firecracker : 311
434 Burst, pop : 672
435 Eruption : 1106
436 Boom : 0
437 Wood : 1456
438 Chop : 284
439 Splinter : 23
440 Crack : 283
441 Glass : 204
442 Chink, clink : 463
443 Shatter : 41
444 Liquid : 530
445 Splash, splatter : 12
446 Slosh : 276
447 Squish : 0
448 Drip : 192
449 Pour : 272
450 Trickle, dribble : 77
451 Gush : 649
452 Fill (with liquid) : 352
453 Spray : 639
454 Pump (liquid) : 307
455 Stir : 99
456 Boiling : 160
457 Sonar : 1307
458 Arrow : 5
459 Whoosh, swoosh, swish : 113
460 Thump, thud : 16
461 Thunk : 31
462 Electronic tuner : 155
463 Effects unit : 179
464 Chorus effect : 0
465 Basketball bounce : 36
466 Bang : 890
467 Slap, smack : 561
468 Whack, thwack : 102
469 Smash, crash : 97
470 Breaking : 459
471 Bouncing : 135
472 Whip : 700
473 Flap : 1
474 Scratch : 550
475 Scrape : 227
476 Rub : 2331
477 Roll : 0
478 Crushing : 94
479 Crumpling, crinkling : 873
480 Tearing : 1096
481 Beep, bleep : 1084
482 Ping : 288
483 Ding : 866
484 Clang : 426
485 Squeal : 939
486 Creak : 123
487 Rustle : 3
488 Whir : 287
489 Clatter : 137
490 Sizzle : 932
491 Clicking : 57
492 Clickety-clack : 249
493 Rumble : 841
494 Plop : 201
495 Jingle, tinkle : 517
496 Hum : 1386
497 Zing : 0
498 Boing : 557
499 Crunch : 1116
500 Silence : 1892
501 Sine wave : 2613
502 Harmonic : 0
503 Chirp tone : 1503
504 Sound effect : 2059
505 Pulse : 7
506 Inside, small room : 3283
507 Inside, large room or hall : 3
508 Inside, public space : 14
509 Outside, urban or manmade : 662
510 Outside, rural or natural : 6
511 Reverberation : 203
512 Echo : 26
513 Noise : 1
514 Environmental noise : 324
515 Static : 1577
516 Mains hum : 1032
517 Distortion : 245
518 Sidetone : 66
519 Cacophony : 117
520 White noise : 772
521 Pink noise : 1793
522 Throbbing : 902
523 Vibration : 185
524 Television : 944
525 Radio : 81
526 Field recording : 0
0.5 seconds
0 Speech : 59220
1 Male speech, man speaking : 834
2 Female speech, woman speaking : 205
3 Child speech, kid speaking : 575
4 Conversation : 11
5 Narration, monologue : 794
6 Babbling : 59
7 Speech synthesizer : 298
8 Shout : 7
9 Bellow : 165
10 Whoop : 390
11 Yell : 123
12 Battle cry : 752
13 Children shouting : 328
14 Screaming : 225
15 Whispering : 525
16 Laughter : 656
17 Baby laughter : 251
18 Giggle : 317
19 Snicker : 483
20 Belly laugh : 86
21 Chuckle, chortle : 418
22 Crying, sobbing : 209
23 Baby cry, infant cry : 577
24 Whimper : 190
25 Wail, moan : 139
26 Sigh : 370
27 Singing : 8076
28 Choir : 1612
29 Yodeling : 212
30 Chant : 723
31 Mantra : 922
32 Male singing : 439
33 Female singing : 375
34 Child singing : 339
35 Synthetic singing : 161
36 Rapping : 525
37 Humming : 322
38 Groan : 220
39 Grunt : 766
40 Whistling : 840
41 Breathing : 35
42 Wheeze : 121
43 Snoring : 235
44 Gasp : 645
45 Pant : 299
46 Snort : 441
47 Cough : 243
48 Throat clearing : 628
49 Sneeze : 259
50 Sniff : 20
51 Run : 173
52 Shuffle : 201
53 Walk, footsteps : 221
54 Chewing, mastication : 450
55 Biting : 524
56 Gargling : 444
57 Stomach rumble : 680
58 Burping, eructation : 485
59 Hiccup : 78
60 Fart : 433
61 Hands : 144
62 Finger snapping : 807
63 Clapping : 640
64 Heart sounds, heartbeat : 1763
65 Heart murmur : 1044
66 Cheering : 833
67 Applause : 1118
68 Chatter : 107
69 Crowd : 2973
70 Hubbub, speech noise, speech babble : 29
71 Children playing : 22
72 Animal : 15155
73 Domestic animals, pets : 4814
74 Dog : 2495
75 Bark : 246
76 Yip : 96
77 Howl : 887
78 Bow-wow : 504
79 Growling : 50
80 Whimper (dog) : 56
81 Cat : 1037
82 Purr : 1009
83 Meow : 435
84 Hiss : 715
85 Caterwaul : 97
86 Livestock, farm animals, working animals : 435
87 Horse : 374
88 Clip-clop : 330
89 Neigh, whinny : 254
90 Cattle, bovinae : 425
91 Moo : 371
92 Cowbell : 786
93 Pig : 72
94 Oink : 221
95 Goat : 148
96 Bleat : 361
97 Sheep : 355
98 Fowl : 2572
99 Chicken, rooster : 878
100 Cluck : 547
101 Crowing, cock-a-doodle-doo : 381
102 Turkey : 589
103 Gobble : 600
104 Duck : 430
105 Quack : 591
106 Goose : 498
107 Honk : 612
108 Wild animals : 167
109 Roaring cats (lions, tigers) : 366
110 Roar : 673
111 Bird : 3185
112 Bird vocalization, bird call, bird song : 1505
113 Chirp, tweet : 523
114 Squawk : 450
115 Pigeon, dove : 1042
116 Coo : 886
117 Crow : 765
118 Caw : 784
119 Owl : 896
120 Hoot : 794
121 Bird flight, flapping wings : 61
122 Canidae, dogs, wolves : 352
123 Rodents, rats, mice : 346
124 Mouse : 85
125 Patter : 62
126 Insect : 1735
127 Cricket : 704
128 Mosquito : 700
129 Fly, housefly : 1134
130 Buzz : 170
131 Bee, wasp, etc. : 457
132 Frog : 795
133 Croak : 602
134 Snake : 138
135 Rattle : 132
136 Whale vocalization : 130
137 Music : 205990
138 Musical instrument : 13659
139 Plucked string instrument : 7053
140 Guitar : 8210
141 Electric guitar : 1095
142 Bass guitar : 545
143 Acoustic guitar : 983
144 Steel guitar, slide guitar : 147
145 Tapping (guitar technique) : 2
146 Strum : 214
147 Banjo : 609
148 Sitar : 590
149 Mandolin : 383
150 Zither : 168
151 Ukulele : 532
152 Keyboard (musical) : 1712
153 Piano : 974
154 Electric piano : 479
155 Organ : 1549
156 Electronic organ : 553
157 Hammond organ : 499
158 Synthesizer : 153
159 Sampler : 29
160 Harpsichord : 1285
161 Percussion : 2568
162 Drum kit : 1820
163 Drum machine : 369
164 Drum : 3186
165 Snare drum : 937
166 Rimshot : 43
167 Drum roll : 151
168 Bass drum : 1346
169 Timpani : 687
170 Tabla : 525
171 Cymbal : 90
172 Hi-hat : 50
173 Wood block : 642
174 Tambourine : 362
175 Rattle (instrument) : 170
176 Maraca : 295
177 Gong : 1265
178 Tubular bells : 187
179 Mallet percussion : 353
180 Marimba, xylophone : 1209
181 Glockenspiel : 609
182 Vibraphone : 366
183 Steelpan : 337
184 Orchestra : 391
185 Brass instrument : 3162
186 French horn : 1077
187 Trumpet : 773
188 Trombone : 834
189 Bowed string instrument : 1884
190 String section : 10
191 Violin, fiddle : 1437
192 Pizzicato : 527
193 Cello : 932
194 Double bass : 403
195 Wind instrument, woodwind instrument : 3479
196 Flute : 771
197 Saxophone : 236
198 Clarinet : 311
199 Harp : 558
200 Bell : 1123
201 Church bell : 1262
202 Jingle bell : 567
203 Bicycle bell : 868
204 Tuning fork : 957
205 Chime : 1263
206 Wind chime : 1152
207 Change ringing (campanology) : 1866
208 Harmonica : 682
209 Accordion : 995
210 Bagpipes : 1492
211 Didgeridoo : 1329
212 Shofar : 693
213 Theremin : 473
214 Singing bowl : 1181
215 Scratching (performance technique) : 450
216 Pop music : 462
217 Hip hop music : 526
218 Beatboxing : 357
219 Rock music : 483
220 Heavy metal : 1081
221 Punk rock : 119
222 Grunge : 25
223 Progressive rock : 253
224 Rock and roll : 372
225 Psychedelic rock : 12
226 Rhythm and blues : 69
227 Soul music : 14
228 Reggae : 118
229 Country : 185
230 Swing music : 103
231 Bluegrass : 454
232 Funk : 22
233 Folk music : 32
234 Middle Eastern music : 101
235 Jazz : 23
236 Disco : 81
237 Classical music : 65
238 Opera : 896
239 Electronic music : 1691
240 House music : 137
241 Techno : 1297
242 Dubstep : 1269
243 Drum and bass : 183
244 Electronica : 27
245 Electronic dance music : 356
246 Ambient music : 527
247 Trance music : 244
248 Music of Latin America : 139
249 Salsa music : 413
250 Flamenco : 261
251 Blues : 1
252 Music for children : 90
253 New-age music : 466
254 Vocal music : 118
255 A capella : 228
256 Music of Africa : 199
257 Afrobeat : 368
258 Christian music : 28
259 Gospel music : 96
260 Music of Asia : 69
261 Carnatic music : 555
262 Music of Bollywood : 86
263 Ska : 64
264 Traditional music : 39
265 Independent music : 58
266 Song : 0
267 Background music : 479
268 Theme music : 937
269 Jingle (music) : 386
270 Soundtrack music : 419
271 Lullaby : 129
272 Video game music : 1168
273 Christmas music : 17
274 Dance music : 35
275 Wedding music : 2
276 Happy music : 16
277 Funny music : 116
278 Sad music : 88
279 Tender music : 12
280 Exciting music : 77
281 Angry music : 370
282 Scary music : 735
283 Wind : 1729
284 Rustling leaves : 429
285 Wind noise (microphone) : 1944
286 Thunderstorm : 658
287 Thunder : 796
288 Water : 4849
289 Rain : 2252
290 Raindrop : 1043
291 Rain on surface : 1441
292 Stream : 579
293 Waterfall : 1499
294 Ocean : 549
295 Waves, surf : 745
296 Steam : 656
297 Gurgling : 80
298 Fire : 1
299 Crackle : 158
300 Vehicle : 27199
301 Boat, Water vehicle : 1733
302 Sailboat, sailing ship : 113
303 Rowboat, canoe, kayak : 90
304 Motorboat, speedboat : 553
305 Ship : 2
306 Motor vehicle (road) : 64
307 Car : 7137
308 Vehicle horn, car horn, honking : 605
309 Toot : 146
310 Car alarm : 590
311 Power windows, electric windows : 116
312 Skidding : 261
313 Tire squeal : 87
314 Car passing by : 358
315 Race car, auto racing : 153
316 Truck : 852
317 Air brake : 39
318 Air horn, truck horn : 665
319 Reversing beeps : 434
320 Ice cream truck, ice cream van : 889
321 Bus : 262
322 Emergency vehicle : 3379
323 Police car (siren) : 1051
324 Ambulance (siren) : 1104
325 Fire engine, fire truck (siren) : 1077
326 Motorcycle : 301
327 Traffic noise, roadway noise : 5
328 Rail transport : 2405
329 Train : 3881
330 Train whistle : 315
331 Train horn : 305
332 Railroad car, train wagon : 2492
333 Train wheels squealing : 239
334 Subway, metro, underground : 352
335 Aircraft : 1392
336 Aircraft engine : 143
337 Jet engine : 1183
338 Propeller, airscrew : 218
339 Helicopter : 408
340 Fixed-wing aircraft, airplane : 537
341 Bicycle : 37
342 Skateboard : 148
343 Engine : 4774
344 Light engine (high frequency) : 35
345 Dental drill, dentist's drill : 319
346 Lawn mower : 502
347 Chainsaw : 786
348 Medium engine (mid frequency) : 893
349 Heavy engine (low frequency) : 425
350 Engine knocking : 342
351 Engine starting : 133
352 Idling : 1505
353 Accelerating, revving, vroom : 1592
354 Door : 355
355 Doorbell : 521
356 Ding-dong : 480
357 Sliding door : 275
358 Slam : 403
359 Knock : 351
360 Tap : 343
361 Squeak : 548
362 Cupboard open or close : 6
363 Drawer open or close : 19
364 Dishes, pots, and pans : 237
365 Cutlery, silverware : 266
366 Chopping (food) : 500
367 Frying (food) : 478
368 Microwave oven : 276
369 Blender : 254
370 Water tap, faucet : 1217
371 Sink (filling or washing) : 733
372 Bathtub (filling or washing) : 172
373 Hair dryer : 1222
374 Toilet flush : 603
375 Toothbrush : 376
376 Electric toothbrush : 775
377 Vacuum cleaner : 671
378 Zipper (clothing) : 220
379 Keys jangling : 43
380 Coin (dropping) : 596
381 Scissors : 385
382 Electric shaver, electric razor : 913
383 Shuffling cards : 148
384 Typing : 723
385 Typewriter : 750
386 Computer keyboard : 778
387 Writing : 150
388 Alarm : 496
389 Telephone : 247
390 Telephone bell ringing : 485
391 Ringtone : 568
392 Telephone dialing, DTMF : 256
393 Dial tone : 632
394 Busy signal : 629
395 Alarm clock : 405
396 Siren : 5348
397 Civil defense siren : 1597
398 Buzzer : 633
399 Smoke detector, smoke alarm : 847
400 Fire alarm : 676
401 Foghorn : 492
402 Whistle : 823
403 Steam whistle : 888
404 Mechanisms : 713
405 Ratchet, pawl : 233
406 Clock : 241
407 Tick : 400
408 Tick-tock : 660
409 Gears : 306
410 Pulleys : 112
411 Sewing machine : 164
412 Mechanical fan : 9
413 Air conditioning : 159
414 Cash register : 312
415 Printer : 381
416 Camera : 182
417 Single-lens reflex camera : 301
418 Tools : 1117
419 Hammer : 478
420 Jackhammer : 252
421 Sawing : 770
422 Filing (rasp) : 407
423 Sanding : 831
424 Power tool : 791
425 Drill : 581
426 Explosion : 733
427 Gunshot, gunfire : 1240
428 Machine gun : 543
429 Fusillade : 202
430 Artillery fire : 354
431 Cap gun : 194
432 Fireworks : 491
433 Firecracker : 342
434 Burst, pop : 352
435 Eruption : 588
436 Boom : 21
437 Wood : 1406
438 Chop : 403
439 Splinter : 107
440 Crack : 187
441 Glass : 233
442 Chink, clink : 342
443 Shatter : 85
444 Liquid : 387
445 Splash, splatter : 70
446 Slosh : 280
447 Squish : 2
448 Drip : 204
449 Pour : 314
450 Trickle, dribble : 150
451 Gush : 577
452 Fill (with liquid) : 290
453 Spray : 433
454 Pump (liquid) : 332
455 Stir : 265
456 Boiling : 135
457 Sonar : 916
458 Arrow : 18
459 Whoosh, swoosh, swish : 254
460 Thump, thud : 122
461 Thunk : 75
462 Electronic tuner : 119
463 Effects unit : 210
464 Chorus effect : 8
465 Basketball bounce : 195
466 Bang : 463
467 Slap, smack : 424
468 Whack, thwack : 170
469 Smash, crash : 242
470 Breaking : 340
471 Bouncing : 202
472 Whip : 595
473 Flap : 6
474 Scratch : 572
475 Scrape : 193
476 Rub : 1845
477 Roll : 0
478 Crushing : 109
479 Crumpling, crinkling : 758
480 Tearing : 897
481 Beep, bleep : 670
482 Ping : 328
483 Ding : 539
484 Clang : 343
485 Squeal : 573
486 Creak : 179
487 Rustle : 56
488 Whir : 344
489 Clatter : 209
490 Sizzle : 748
491 Clicking : 136
492 Clickety-clack : 358
493 Rumble : 632
494 Plop : 241
495 Jingle, tinkle : 564
496 Hum : 1124
497 Zing : 6
498 Boing : 397
499 Crunch : 764
500 Silence : 936
501 Sine wave : 1435
502 Harmonic : 0
503 Chirp tone : 976
504 Sound effect : 1090
505 Pulse : 34
506 Inside, small room : 4515
507 Inside, large room or hall : 17
508 Inside, public space : 30
509 Outside, urban or manmade : 620
510 Outside, rural or natural : 35
511 Reverberation : 161
512 Echo : 52
513 Noise : 9
514 Environmental noise : 471
515 Static : 923
516 Mains hum : 609
517 Distortion : 227
518 Sidetone : 101
519 Cacophony : 146
520 White noise : 552
521 Pink noise : 1084
522 Throbbing : 952
523 Vibration : 174
524 Television : 518
525 Radio : 170
526 Field recording : 9
Source code
Soure code at https://github.com/mesolitica/malaysian-dataset/tree/master/audio/audioset-chunk
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