Datasets:
Dataset Viewer
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"
] |
[
-0.70996
] |
|
[
"Goat"
] |
[
-1.63086
] |
|
[
"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
] |
|
[
"Music"
] |
[
1.14062
] |
|
[
"Music"
] |
[
0.6543
] |
|
[
"Music"
] |
[
0.89014
] |
|
[
"Music"
] |
[
0.56641
] |
|
[
"Music"
] |
[
0.61621
] |
|
[
"Music"
] |
[
0.31348
] |
|
[
"Music"
] |
[
0.28809
] |
|
[
"Music"
] |
[
0.67969
] |
|
[
"Music"
] |
[
0.34106
] |
|
[
"Music"
] |
[
0.56348
] |
|
[
"Music"
] |
[
0.61572
] |
|
[
"Music"
] |
[
0.86426
] |
|
[
"Knock"
] |
[
-3.12695
] |
|
[
"Knock"
] |
[
2.89648
] |
|
[
"Knock"
] |
[
1.77344
] |
|
[
"Knock"
] |
[
1.4668
] |
|
[
"Plucked string instrument",
"Strum",
"Guitar",
"Musical instrument"
] |
[
-0.81934,
-1.6377,
-0.63672,
-0.72119
] |
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.
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