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5
50
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50
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5
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1
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1.96
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1
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951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
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0
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951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
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951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
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-0.25
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951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
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951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
0.894427
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0
0
5
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951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
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0
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2.2
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-2.5
951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
0.894427
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0
0
5
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2
2.2
3
-2.5
951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
0.894427
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0
0
5
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0
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2.2
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-2.5
951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
0.894427
0.748331
1.32665
0
0
0
5
5
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volume_up
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0
2
2.2
3
-2.5
951
MSP-IMPROV-S08S-F05-S-FM01.wav
I won't.
neutral
0.527
6,294
0.252261
-0.25
0
0.894427
0.748331
1.32665
0
0
0
5
5
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3.6
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low_pass
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
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0
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6
1.5
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[ { "feats": [ 0.09196381270885468, -0.11476032435894012, 0.17481058835983276, -0.04186069592833519, 0.7035092711448669, 0.4707096517086029, 0.07351063191890717, 1.2273755073547363, 0.6732884049415588, -0.016611801460385323, -1.1478326320648193, ...
baseline
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2
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
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0
0
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6
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1.5
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
0
0
0
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6
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[ { "feats": [ 0.09425582736730576, -0.13310518860816956, 0.1921653300523758, -0.026003895327448845, 0.7148187160491943, 0.4425716698169708, 0.062227923423051834, 1.2408778667449951, 0.686737596988678, -0.02480609528720379, -1.0971726179122925, ...
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1.5
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
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speed_0.95
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2
1.5
3.333333
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
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0
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6
1.5
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2
1.5
3.333333
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
0
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6
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2
1.5
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
0
0
0
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6
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[ { "feats": [ 0.17033134400844574, -0.19452156126499176, 0.41238895058631897, -0.21373522281646729, 1.5254487991333008, 0.8177976012229919, 0.3954807221889496, 2.123375415802002, 1.1266402006149292, -0.05444055795669556, -1.6076140403747559, ...
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1.5
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
0
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2
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
0
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0
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6
1.5
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[ { "feats": [ 0.0920032486319542, -0.1137114018201828, 0.17364080250263214, -0.042373139411211014, 0.702751100063324, 0.47094306349754333, 0.07266292721033096, 1.2265764474868774, 0.6730473637580872, -0.015964526683092117, -1.1465578079223633, ...
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1.5
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951
MSP-IMPROV-S08S-F05-S-FM02.wav
But, uh, a preliminary study shows rats to be more inquisitive than one spot.
sad
0.533333
6,893
0.241818
-0.2
0
0.5
0.745356
1.247219
0
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2.166667
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951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
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0
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6
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2.166667
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951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
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1
0.763763
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0
0
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6
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951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
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-0.2
0
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951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
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0
3
[ { "feats": [ 0.09186149388551712, -0.2524246573448181, 0.21799252927303314, 0.1260751336812973, 0.8316581845283508, 0.5734679698944092, 0.16967178881168365, 1.2366687059402466, 1.0475136041641235, -0.04369443282485008, -0.8875314593315125, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.166667
4
2.142857
-2.083333
951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
0
0
0
6
6
2.166667
4
1.5
1
0
3
[ { "feats": [ 0.06850338727235794, -0.2761036157608032, 0.1944172978401184, 0.09236819297075272, 0.7505440711975098, 0.5238913297653198, 0.14804881811141968, 1.2282906770706177, 1.023111343383789, -0.02337457984685898, -0.8080437183380127, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.166667
4
2.142857
-2.083333
951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
0
0
0
6
6
2.166667
4
1.5
1
0
3
[ { "feats": [ 0.36656853556632996, -0.22832271456718445, 0.33277323842048645, -0.2616882026195526, 1.5029253959655762, 0.6186078786849976, 0.025826022028923035, 1.8007363080978394, 1.4590424299240112, -0.0928812101483345, -1.0700602531433105, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.166667
4
2.142857
-2.083333
951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
0
0
0
6
6
2.166667
4
1.5
1
0
3
[ { "feats": [ 0.42083513736724854, -0.14091674983501434, 0.3293536901473999, -0.2748609781265259, 1.4925341606140137, 0.6805375814437866, 0.16713380813598633, 1.8248584270477295, 1.4321520328521729, -0.1674809455871582, -1.1677993535995483, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.166667
4
2.142857
-2.083333
951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
0
0
0
6
6
2.166667
4
1.5
1
0
3
[ { "feats": [ 0.058684006333351135, -0.26689082384109497, 0.20618349313735962, 0.09660663455724716, 0.8036624789237976, 0.5518194437026978, 0.16321352124214172, 1.2311062812805176, 1.0433083772659302, -0.025745557621121407, -0.8380876779556274, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.166667
4
2.142857
-2.083333
951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
0
0
0
6
6
2.166667
4
1.5
1
0
3
[ { "feats": [ 0.05603991448879242, -0.266459584236145, 0.20496413111686707, 0.09149370342493057, 0.8012174367904663, 0.551712691783905, 0.1591612845659256, 1.2283879518508911, 1.0419365167617798, -0.024782048538327217, -0.8366934061050415, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.166667
4
2.142857
-2.083333
951
MSP-IMPROV-S08S-F05-S-FM03.wav
That's my visas.
sad
1.422222
6,936
0.241039
-0.2
0
0.897527
1
0.763763
0
0
0
6
6
2.166667
4
1.5
1
0
3
[ { "feats": [ 0.09269952028989792, -0.22341588139533997, 0.2454073429107666, 0.16113846004009247, 0.8212045431137085, 0.5883578658103943, 0.18693310022354126, 1.1897422075271606, 1.085798978805542, -0.06087874993681908, -0.9251040816307068, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.06913412362337112, -0.2032495141029358, 0.1158115491271019, -0.12996773421764374, 0.9742470383644104, 0.40250247716903687, 0.0865650624036789, 1.4161293506622314, 0.7573593854904175, 0.058114033192396164, -0.8822233080863953, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.036144744604825974, -0.20116834342479706, 0.1256365180015564, -0.07220689952373505, 0.977127194404602, 0.4510881304740906, 0.032948482781648636, 1.3759543895721436, 0.7382972836494446, 0.04950743541121483, -0.9570373296737671, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.045436371117830276, -0.18746723234653473, 0.09437348693609238, -0.14370648562908173, 0.9576084017753601, 0.3743462860584259, 0.08351349830627441, 1.3609695434570312, 0.7524937987327576, 0.05931267514824867, -0.8547419905662537, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.05278661102056503, -0.20394279062747955, 0.13355934619903564, -0.09055037796497345, 0.9765545725822449, 0.4218593239784241, 0.06171685829758644, 1.408616304397583, 0.7617483735084534, 0.06589245796203613, -0.8979529142379761, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.061167195439338684, -0.20067311823368073, 0.11415401846170425, -0.12994998693466187, 0.9655275940895081, 0.3935626745223999, 0.07909218966960907, 1.4125134944915771, 0.7673590779304504, 0.08378943800926208, -0.8681548833847046, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.024166598916053772, -0.21012413501739502, 0.22891151905059814, -0.10979315638542175, 1.0854138135910034, 0.5384065508842468, 0.15056212246418, 1.3621587753295898, 0.8020647764205933, 0.02758074551820755, -1.1033902168273926, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ 0.04308171942830086, -0.24761538207530975, 0.35441654920578003, -0.14645043015480042, 1.3035728931427002, 0.6124996542930603, 0.24936629831790924, 1.5381056070327759, 0.9623342752456665, 0.018739288672804832, -1.1779981851577759, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.06907258182764053, -0.2030148059129715, 0.11579868197441101, -0.1300937980413437, 0.9749322533607483, 0.40281662344932556, 0.08692473918199539, 1.4176709651947021, 0.7575125098228455, 0.05819964408874512, -0.8825079202651978, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.06925977021455765, -0.20320163667201996, 0.11612652242183685, -0.13002687692642212, 0.9742591381072998, 0.4025929868221283, 0.08682407438755035, 1.4163872003555298, 0.7572215795516968, 0.05831649526953697, -0.8820855021476746, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
3.4
1.714286
-2.5
951
MSP-IMPROV-S08S-F05-S-FM04.wav
But I did all this research.
sad
0.713
953
0.358144
-0.25
0
0
0.8
0.489898
null
0
0
5
5
2
3.4
3.6
0.979796
0
3.2
[ { "feats": [ -0.07322230935096741, -0.16071465611457825, 0.12641236186027527, -0.0693332776427269, 1.0053983926773071, 0.4242445230484009, 0.08122310787439346, 1.4338583946228027, 0.7989575862884521, 0.053793784230947495, -0.8839159607887268, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.051342763006687164, -0.18207886815071106, 0.0067445263266563416, -0.02236076258122921, 0.7696388363838196, 0.6359546780586243, -0.010975451208651066, 1.5106234550476074, 0.7515965700149536, -0.042864102870225906, -0.817055821418762...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.06050770357251167, -0.18581300973892212, 0.0005187396891415119, -0.03058900311589241, 0.7703077793121338, 0.6758729815483093, 0.0002831367019098252, 1.510133981704712, 0.7457028031349182, -0.027992496266961098, -0.8663999438285828,...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.07316772639751434, -0.16745243966579437, -0.01282555516809225, -0.02796904370188713, 0.8057706356048584, 0.646399974822998, 0.01038332562893629, 1.5258737802505493, 0.7998939156532288, -0.041448529809713364, -0.8091626763343811, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.05693952739238739, -0.18155109882354736, -0.00023188524937722832, -0.025025345385074615, 0.7646464705467224, 0.6463146209716797, -0.0027777727227658033, 1.518406629562378, 0.7455883622169495, -0.04605707898736, -0.8309658169746399,...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.06388530880212784, -0.1759679913520813, 0.0006903698667883873, -0.023536738008260727, 0.7836924195289612, 0.6354163885116577, -0.004671003203839064, 1.50970458984375, 0.7675166130065918, -0.045162200927734375, -0.8099892735481262, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.05093627795577049, -0.15365386009216309, 0.009882808662950993, -0.030447522178292274, 0.734654426574707, 0.6233933568000793, 0.012984885834157467, 1.3666335344314575, 0.7574515342712402, -0.01438224595040083, -0.8438963294029236, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.060266055166721344, -0.12707410752773285, 0.018715880811214447, -0.027848675847053528, 0.7114317417144775, 0.6126430630683899, 0.004057134035974741, 1.3169420957565308, 0.761043906211853, -0.029104314744472504, -0.8712495565414429,...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.05133601650595665, -0.18214085698127747, 0.006781045347452164, -0.02236805483698845, 0.7696583271026611, 0.6359129548072815, -0.011011499911546707, 1.5105708837509155, 0.751603364944458, -0.042823802679777145, -0.8170400857925415, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.05134366452693939, -0.18203532695770264, 0.006709575187414885, -0.02235661819577217, 0.7695253491401672, 0.6358437538146973, -0.010946550406515598, 1.5103527307510376, 0.7515504360198975, -0.04290927201509476, -0.8170672655105591, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.625
3.875
2.053571
-0.9375
951
MSP-IMPROV-S08S-F05-S-MF01.wav
Actually, no. Your data looks inconclusive.
neutral
0.6375
4,284
0.283254
-0.142857
0
0.484123
0.599479
0.599479
0
0
0
8
8
2.625
3.875
3.125
1.218349
0
3.625
[ { "feats": [ 0.06581305712461472, -0.18719211220741272, -0.00340919173322618, -0.0033417975064367056, 0.7949476838111877, 0.643862247467041, 0.001193888601846993, 1.5372040271759033, 0.7709951996803284, -0.0505543053150177, -0.8327816724777222, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.010154975578188896, -0.17413294315338135, 0.17459408938884735, 0.0604674331843853, 0.6850215196609497, 0.3236163258552551, 0.030957583338022232, 1.1938326358795166, 0.8535786867141724, 0.017763083800673485, -0.7115691304206848, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.005279842764139175, -0.1586254984140396, 0.17434075474739075, 0.07116569578647614, 0.6353425979614258, 0.3374617397785187, 0.048667602241039276, 1.1192153692245483, 0.7924619317054749, -0.000383503211196512, -0.7458244562149048, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ 0.004912206903100014, -0.17743374407291412, 0.17494595050811768, 0.04980184882879257, 0.6958750486373901, 0.29072150588035583, 0.032051827758550644, 1.2254993915557861, 0.8658120632171631, 0.017606021836400032, -0.6866366863250732, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ 0.0024555295240134, -0.16413307189941406, 0.1749275028705597, 0.06392030417919159, 0.667003870010376, 0.34048616886138916, 0.04088836908340454, 1.1663365364074707, 0.824749767780304, 0.008714376948773861, -0.7325630784034729, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.0017176438122987747, -0.1693863421678543, 0.1809774488210678, 0.05337740108370781, 0.6961235404014587, 0.3161243200302124, 0.03063363768160343, 1.2238622903823853, 0.8669268488883972, 0.009576685726642609, -0.6973681449890137, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.019975995644927025, -0.18425780534744263, 0.16938702762126923, 0.04372924938797951, 0.6833896636962891, 0.3201102018356323, 0.0399438738822937, 1.1315871477127075, 0.8592952489852905, 0.0467410609126091, -0.7450846433639526, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.028385965153574944, -0.22308294475078583, 0.18223784863948822, 0.022018354386091232, 0.7108026146888733, 0.3098751902580261, 0.022035440430045128, 1.1568926572799683, 0.8701140284538269, 0.026904374361038208, -0.7688887715339661, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.010071789845824242, -0.17428173124790192, 0.17464962601661682, 0.06050267443060875, 0.685189962387085, 0.32369109988212585, 0.030879655852913857, 1.194067120552063, 0.8537337779998779, 0.01789788529276848, -0.7116334438323975, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ -0.010138149373233318, -0.17414145171642303, 0.174648717045784, 0.060437146574258804, 0.6850476264953613, 0.32367268204689026, 0.030897850170731544, 1.193864345550537, 0.8536113500595093, 0.01783999614417553, -0.7116348147392273, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.8
3.2
1.571429
-3
951
MSP-IMPROV-S08S-F05-S-MF02.wav
It tells me nothing. What have I learned from your experiment? Nothing.
anger
0.552
547
0.385472
null
null
0.4
0.4
0.632456
0
0
0
5
5
1.8
3.2
4
0.4
0
4.2
[ { "feats": [ 0.008505966514348984, -0.160539910197258, 0.19078676402568817, 0.08321002870798111, 0.6950294375419617, 0.323742151260376, 0.03886932134628296, 1.2125647068023682, 0.8473912477493286, 0.01455609779804945, -0.7275679111480713, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.04925242066383362, -0.13780957460403442, 0.0777580514550209, -0.057014185935258865, 0.6520995497703552, 0.36977770924568176, 0.1417362540960312, 1.095710039138794, 0.6911231279373169, 0.09436461329460144, -0.9248387813568115, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.07931079715490341, -0.1195266917347908, 0.07508643716573715, -0.038240496069192886, 0.6445260643959045, 0.39248740673065186, 0.16740916669368744, 1.1356548070907593, 0.6647576689720154, 0.09107860922813416, -0.9394567012786865, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.05788985267281532, -0.15554772317409515, 0.07611940801143646, -0.07483880966901779, 0.6670028567314148, 0.34747883677482605, 0.13758866488933563, 1.1025034189224243, 0.710959255695343, 0.09771469235420227, -0.8699191212654114, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.0672188550233841, -0.11504759639501572, 0.08126134425401688, -0.0367671400308609, 0.6606616377830505, 0.3958157002925873, 0.16085080802440643, 1.1274253129959106, 0.6732543110847473, 0.08845137804746628, -0.951227068901062, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.04611798748373985, -0.14549829065799713, 0.09392211586236954, -0.06460464745759964, 0.6800966858863831, 0.36847984790802, 0.1499902307987213, 1.128913164138794, 0.7092874050140381, 0.10031203925609589, -0.9088300466537476, -0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.035964105278253555, -0.1445026993751526, 0.06987465173006058, -0.11178793013095856, 0.6505560278892517, 0.368337482213974, 0.09636976569890976, 1.0413153171539307, 0.7318024039268494, 0.10008662939071655, -0.9500105381011963, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.019918562844395638, -0.16032281517982483, 0.0746021494269371, -0.10836934298276901, 0.660849928855896, 0.3428111672401428, 0.11826763302087784, 1.0382276773452759, 0.726309061050415, 0.13971781730651855, -0.9892326593399048, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.04925920069217682, -0.1376887410879135, 0.0777067318558693, -0.05707651004195213, 0.6520358920097351, 0.3697676956653595, 0.141710102558136, 1.0956425666809082, 0.6910803318023682, 0.09428848326206207, -0.9248706698417664, 0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.049194078892469406, -0.13774517178535461, 0.07775970548391342, -0.05705225467681885, 0.6520582437515259, 0.36971744894981384, 0.14171594381332397, 1.095712661743164, 0.6911055445671082, 0.09422633051872253, -0.9248184561729431, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.2
4
2.142857
-2
951
MSP-IMPROV-S08S-F05-S-MF03.wav
I'm sorry, but I can't slow you to graduate.
neutral
0.995
8,119
0.206939
-0.25
0
1.16619
0.632456
0.979796
0
0
0
5
5
2.2
4
2.8
1.496663
0
3.4
[ { "feats": [ 0.04834427684545517, -0.13107669353485107, 0.0972752720117569, 0.00258443015627563, 0.697837769985199, 0.41335800290107727, 0.18921558558940887, 1.149242877960205, 0.6969534158706665, 0.10895311832427979, -0.9705097675323486, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
0
4
[ { "feats": [ 0.09725139290094376, -0.11565510183572769, 0.13716547191143036, -0.059442441910505295, 0.696785032749176, 0.4812676012516022, 0.010570233687758446, 1.269993543624878, 0.7801181674003601, 0.034429650753736496, -0.7331820726394653, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
0
4
[ { "feats": [ 0.10265575349330902, -0.12891988456249237, 0.1358063966035843, -0.06073751300573349, 0.6911859512329102, 0.48950672149658203, 0.0071602873504161835, 1.2598304748535156, 0.756078839302063, 0.03688482567667961, -0.7651508450508118, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
0
4
[ { "feats": [ 0.08842965960502625, -0.1409303843975067, 0.13887116312980652, -0.08428595215082169, 0.6825863122940063, 0.4509994387626648, 0.02162708155810833, 1.2551535367965698, 0.7979989051818848, 0.05194871127605438, -0.6861919164657593, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
0
4
[ { "feats": [ 0.10186024010181427, -0.11926418542861938, 0.13836687803268433, -0.05531381815671921, 0.708156406879425, 0.49317795038223267, 0.004146524239331484, 1.287705421447754, 0.7730370163917542, 0.03497926890850067, -0.7556046843528748, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
0
4
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3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
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3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
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0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
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volume_scale
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0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
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4
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0
3
3.8
2
0
951
MSP-IMPROV-S08S-F05-S-MF04.wav
You're going to have to be here at least another two years because your data isn't conclusive.
neutral
0.507
2,543
0.310375
-0.25
0
0.632456
0.748331
0.4
0
0
0
5
5
3
3.8
3.2
0.632456
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4
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2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
3
0.748331
0
3.8
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baseline
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2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
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0.748331
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
3
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speed_0.95
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
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2.8
4.2
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speed_1.05
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
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light_noise
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0
2.8
4.2
2.285714
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951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
3
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medium_noise
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
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3.8
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volume_down
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
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0
2.8
4.2
2.285714
-0.5
951
MSP-IMPROV-S08S-F05-S-MF05.wav
That doesn't mean anything.
neutral
0.887
367
0.403229
-0.25
0
0.4
0.4
0
0
0
null
5
5
2.8
4.2
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low_pass
low_pass_filter
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2
2.076923
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1.923077
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MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
sad
1.025592
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baseline
baseline
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MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
sad
1.025592
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MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
sad
1.025592
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MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
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1.025592
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951
MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
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1.025592
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951
MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
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1.025592
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MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
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MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
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951
MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
sad
1.025592
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951
MSP-IMPROV-S08S-F05-T-FM01.wav
A preliminary study shows rats to be more inquisitive than one spot.
sad
1.025592
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low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }