label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.11140109598636627, -0.16644300520420074, 0.06387954950332642, -0.1362876445055008, 1.0748664140701294, 0.4789360463619232, 0.286630243062973, 1.2633088827133179, 1.0150480270385742, -0.022008122876286507, -1.5206325054168701, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.07063697278499603, -0.1490025669336319, 0.12018148601055145, -0.12689512968063354, 1.2287641763687134, 0.568177342414856, 0.31155315041542053, 1.432405948638916, 1.0795620679855347, -0.020637625828385353, -1.6661254167556763, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.07756099104881287, -0.13505606353282928, 0.06743527948856354, -0.14316615462303162, 1.1025404930114746, 0.46869149804115295, 0.24641220271587372, 1.3689124584197998, 1.0862841606140137, -0.04350372031331062, -1.4804071187973022, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.12960700690746307, -0.1725975126028061, 0.08913806080818176, -0.13356521725654602, 1.1837694644927979, 0.5146651864051819, 0.31173503398895264, 1.3537410497665405, 1.0473253726959229, -0.000040716768126003444, -1.6092684268951416, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.1150832325220108, -0.16684551537036896, 0.05740046128630638, -0.14581848680973053, 1.1076523065567017, 0.4742233455181122, 0.27905258536338806, 1.335695505142212, 1.0645893812179565, -0.014654875732958317, -1.5184228420257568, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.4203702509403229, -0.2512013912200928, 0.24037939310073853, -0.3499203026294708, 1.6650960445404053, 0.7109065055847168, 0.2653858959674835, 1.8172498941421509, 1.1194301843643188, -0.05597958713769913, -2.0470356941223145, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.2871466875076294, -0.08425547927618027, 0.3706631362438202, -0.38079068064689636, 2.0309252738952637, 1.0199289321899414, 0.5588494539260864, 2.2172651290893555, 1.188358187675476, -0.10771944373846054, -2.398587703704834, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.10285194963216782, -0.1642368733882904, 0.06500746309757233, -0.13273102045059204, 1.0765843391418457, 0.4799460768699646, 0.28417301177978516, 1.2649353742599487, 1.0182377099990845, -0.028647612780332565, -1.5192030668258667, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.10956743359565735, -0.1664309948682785, 0.06477401405572891, -0.137845978140831, 1.082244873046875, 0.48040539026260376, 0.28844860196113586, 1.2700800895690918, 1.0211341381072998, -0.021099232137203217, -1.5283030271530151, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
1.5
2.5
1.25
-2.5
1
Ses01F_impro02_M009
I just don't see why it has to be you.
1
sad
0.175
3,322
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
2
1.5
2.5
[ { "feats": [ 0.1508425921201706, -0.19873981177806854, 0.11425700038671494, -0.1298678070306778, 1.2001017332077026, 0.49816635251045227, 0.260953426361084, 1.470699667930603, 1.0569347143173218, 0.029980555176734924, -1.5791701078414917, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.002615927020087838, -0.07754629850387573, 0.1333160102367401, 0.005151915829628706, 1.3488678932189941, 0.7993475198745728, 0.3388499915599823, 1.4229484796524048, 1.0811245441436768, -0.1900392323732376, -1.9554094076156616, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.044584546238183975, -0.11856741458177567, 0.10380206257104874, 0.04242544621229172, 1.7258120775222778, 0.863489031791687, 0.3757825791835785, 1.7588376998901367, 1.2216670513153076, -0.14745934307575226, -2.1737489700317383, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ -0.016679400578141212, -0.05182642117142677, 0.13024234771728516, 0.01509824488312006, 1.4283056259155273, 0.806216835975647, 0.3015536069869995, 1.5761798620224, 1.1853137016296387, -0.2073538899421692, -1.9155346155166626, -0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.02815284952521324, -0.05953194573521614, 0.13917402923107147, 0.025697920471429825, 1.5605685710906982, 0.8816848993301392, 0.3865751326084137, 1.5998886823654175, 1.1638545989990234, -0.15572676062583923, -2.0960874557495117, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.00040973283466883004, -0.07577047497034073, 0.11462948471307755, 0.032220374792814255, 1.4119749069213867, 0.8064979314804077, 0.3373926877975464, 1.4946368932724, 1.1467078924179077, -0.1785954385995865, -1.9669526815414429, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.093696229159832, -0.30149587988853455, 0.32912176847457886, -0.32953736186027527, 2.20054292678833, 0.7947995662689209, 0.7798463106155396, 1.9152028560638428, 1.1187552213668823, 0.13439176976680756, -2.6819472312927246, 0.0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.1302109807729721, -0.24445275962352753, 0.3393046259880066, -0.3795568346977234, 2.342820644378662, 0.8064284324645996, 0.8078902959823608, 1.9389533996582031, 1.1420003175735474, 0.10511673986911774, -2.849644899368286, 0.03...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ -0.02173413522541523, -0.06381676346063614, 0.13526906073093414, 0.03999215364456177, 1.3513495922088623, 0.8058156967163086, 0.32584357261657715, 1.4359338283538818, 1.1028103828430176, -0.21692124009132385, -1.9287306070327759, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.01629323698580265, -0.09108313173055649, 0.1349339485168457, -0.016306182369589806, 1.3335578441619873, 0.7876582741737366, 0.34342342615127563, 1.4129822254180908, 1.0581682920455933, -0.1749122440814972, -1.9458444118499756, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
1.5
2.5
1.25
-1.25
1
Ses01F_impro02_M011
Yeah.
1
sad
0.55
8,385
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
1.5
2.5
[ { "feats": [ 0.08301509916782379, -0.05517023801803589, 0.12412989139556885, 0.03062596544623375, 1.6036312580108643, 0.8797599673271179, 0.32560938596725464, 1.759539008140564, 1.2161903381347656, -0.2183498591184616, -2.1026434898376465, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
0
2,854
0.458579
null
null
0.471405
0
0.942809
0
null
0
4
3
1.5
2
2
[ { "feats": [ 0.08264762908220291, -0.14739136397838593, 0.09251368790864944, -0.13861455023288727, 1.1325511932373047, 0.5810979008674622, 0.2421858161687851, 1.3571263551712036, 0.9760755896568298, -0.10241629928350449, -1.5346546173095703, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
0
2,854
0.458579
null
null
0.471405
0
0.942809
0
null
0
4
3
1.5
2
2
[ { "feats": [ 0.06399305909872055, -0.16280542314052582, 0.17299073934555054, -0.11597725749015808, 1.251830816268921, 0.677908182144165, 0.24248120188713074, 1.4784467220306396, 1.0548261404037476, -0.16474108397960663, -1.5975254774093628, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
0
2,854
0.458579
null
null
0.471405
0
0.942809
0
null
0
4
3
1.5
2
2
[ { "feats": [ 0.06832340359687805, -0.1466899812221527, 0.08392761647701263, -0.14044404029846191, 1.0942054986953735, 0.5468451380729675, 0.20844297111034393, 1.3663768768310547, 1.005542278289795, -0.1220388263463974, -1.4422415494918823, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
0
2,854
0.458579
null
null
0.471405
0
0.942809
0
null
0
4
3
1.5
2
2
[ { "feats": [ 0.09083311259746552, -0.15336544811725616, 0.14759384095668793, -0.14381369948387146, 1.2359285354614258, 0.6381284594535828, 0.266379714012146, 1.4399698972702026, 1.0232481956481934, -0.10925597697496414, -1.6065181493759155, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
0
2,854
0.458579
null
null
0.471405
0
0.942809
0
null
0
4
3
1.5
2
2
[ { "feats": [ 0.08614951372146606, -0.16074636578559875, 0.09241198748350143, -0.13898219168186188, 1.111897587776184, 0.573623776435852, 0.230879545211792, 1.3587713241577148, 0.9785686135292053, -0.11537712812423706, -1.4768873453140259, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
0
2,854
0.458579
null
null
0.471405
0
0.942809
0
null
0
4
3
1.5
2
2
[ { "feats": [ 0.14032377302646637, -0.1233488991856575, 0.15308494865894318, -0.3111545443534851, 1.5184950828552246, 0.5906723141670227, 0.2484249323606491, 1.7987064123153687, 1.1583888530731201, 0.006406337954103947, -1.8588230609893799, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
1.5
2
2
2.5
-3.75
1
Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
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sad
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Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
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2,854
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Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
1
sad
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2,854
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Ses01F_impro02_M013
I just don't know how I'm going to do it without you.
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sad
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2,854
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
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2
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
sad
0.925
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2
2
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
sad
0.925
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2
2
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
sad
0.925
3,241
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volume_up
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2
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Ses01F_impro06_F005
I went to see her headstone a week or two ago.
2
sad
0.925
3,241
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low_pass
low_pass_filter
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3.5
3
4
5
1.25
2
Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
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baseline
baseline
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3.5
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4
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
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3.5
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4
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
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3.5
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
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3.5
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4
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
0.55286
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3.5
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speed_1.05
speed_perturbation
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2
3.5
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4
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1.25
2
Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
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light_noise
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2
3.5
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
0.55286
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medium_noise
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2
3.5
3
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
0.55286
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volume_down
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2
3.5
3
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
0.55286
-0.333333
0
0.471405
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volume_up
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3.5
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1.25
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Ses01F_impro06_F006
I used to go to cemeteries a lot before she died. I just, you know, I felt like they were urban oasis, you know, there is always this green in the city.
2
sad
3.1
939
0.55286
-0.333333
0
0.471405
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3.5
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low_pass
low_pass_filter
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2
3.5
3
4
5
1.25
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Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
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baseline
baseline
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2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
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speed_0.9
speed_perturbation
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2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
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3
4
[ { "feats": [ 0.17707377672195435, -0.14931531250476837, 0.2097400426864624, -0.13951119780540466, 0.7489030361175537, 0.3545803725719452, 0.03967294469475746, 1.1460157632827759, 0.8243139386177063, -0.050201356410980225, -0.6993312239646912, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.16363847255706787, -0.14071375131607056, 0.20992295444011688, -0.10878802090883255, 0.7869309782981873, 0.42089200019836426, 0.07723402231931686, 1.155470848083496, 0.856914222240448, -0.05039728805422783, -0.8109070062637329, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.17563246190547943, -0.14757215976715088, 0.21496345102787018, -0.12934330105781555, 0.7577595114707947, 0.38131585717201233, 0.054930754005908966, 1.1587655544281006, 0.8374058604240417, -0.05375443026423454, -0.7329568266868591, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.1803460568189621, -0.2176165133714676, 0.3789065182209015, -0.23897874355316162, 1.4904284477233887, 0.6366269588470459, 0.10096793621778488, 2.101890802383423, 1.2425428628921509, -0.009972471743822098, -1.3084162473678589, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.21153372526168823, -0.18111732602119446, 0.5039483308792114, -0.44862937927246094, 1.9317790269851685, 0.9374496936798096, 0.3307357728481293, 2.7585318088531494, 1.3516628742218018, -0.18311895430088043, -1.7536933422088623, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.16596348583698273, -0.15438100695610046, 0.20792685449123383, -0.12151150405406952, 0.7647270560264587, 0.3947260081768036, 0.06198573112487793, 1.1641463041305542, 0.8487148284912109, -0.060687512159347534, -0.7714835405349731, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.1653873324394226, -0.15413926541805267, 0.20715442299842834, -0.12150751799345016, 0.7660433053970337, 0.3937826454639435, 0.06389601528644562, 1.166229009628296, 0.8481990694999695, -0.06063856929540634, -0.7712213397026062, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
3.5
3
4
5
1.25
2
Ses01F_impro06_F007
So I was like wandering around before. It takes forever to find her headstone; I always lose it. You know.
2
sad
3.1
3,176
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.16181007027626038, -0.1368848830461502, 0.19602049887180328, -0.10035017132759094, 0.748433530330658, 0.39529550075531006, 0.03913907706737518, 1.1081684827804565, 0.8341354131698608, -0.05921145901083946, -0.7879990339279175, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.13774354755878448, -0.19381728768348694, 0.17089621722698212, -0.06605862826108932, 0.7940875291824341, 0.38406020402908325, 0.12037985771894455, 1.2847881317138672, 0.726385772228241, -0.03202461823821068, -0.8558405637741089, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.13327471911907196, -0.17624680697917938, 0.15607301890850067, -0.029166797176003456, 0.8240282535552979, 0.44027599692344666, 0.13685950636863708, 1.2657016515731812, 0.7344269156455994, -0.02715703845024109, -0.9273278117179871, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.11885278671979904, -0.2065233737230301, 0.16093061864376068, -0.06333639472723007, 0.8093599677085876, 0.35517245531082153, 0.09024759382009506, 1.2999235391616821, 0.7410117387771606, -0.03178856149315834, -0.7991551160812378, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.13853538036346436, -0.1974409520626068, 0.1648780256509781, -0.05248209461569786, 0.8177409768104553, 0.4111464023590088, 0.13079701364040375, 1.2866747379302979, 0.7287510633468628, -0.028410859405994415, -0.8908421397209167, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.12719005346298218, -0.2042534202337265, 0.16754408180713654, -0.07500215619802475, 0.810371458530426, 0.37517109513282776, 0.10257114470005035, 1.3021330833435059, 0.7341470122337341, -0.021525966003537178, -0.8264308571815491, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.05853123590350151, -0.20860768854618073, 0.3629114627838135, -0.07169102132320404, 1.719421625137329, 0.7374834418296814, 0.3056785464286804, 2.425553798675537, 1.2270084619522095, -0.1311025172472, -1.479680061340332, -0.025...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.2290426343679428, 0.023112021386623383, 0.4667263329029083, -0.4143995940685272, 2.3088488578796387, 1.3136218786239624, 0.7178261876106262, 2.9006125926971436, 1.1849968433380127, 0.11138854175806046, -2.659419059753418, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.1372462660074234, -0.19509927928447723, 0.17050786316394806, -0.06597664207220078, 0.7923126816749573, 0.3861696124076843, 0.12120205909013748, 1.2798715829849243, 0.7280606031417847, -0.03178483992815018, -0.8571190237998962, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.13602928817272186, -0.19217513501644135, 0.16885842382907867, -0.06438186764717102, 0.7937479019165039, 0.3827681839466095, 0.11898678541183472, 1.2812851667404175, 0.7260574698448181, -0.031122267246246338, -0.8538350462913513, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro06_F008
So I was looking at this other one and there was like a piece of candy there and I thought that I would take the candy and put it on her headstone. And-
2
sad
1.625
7,465
0.324634
null
null
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.11713654547929764, -0.20570722222328186, 0.14565719664096832, -0.047684770077466965, 0.7932477593421936, 0.3836071193218231, 0.10982001572847366, 1.2447675466537476, 0.7254151105880737, -0.01652463898062706, -0.8657951354980469, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.04175905883312225, -0.09770858287811279, 0.2264406979084015, -0.06398922204971313, 0.9543851613998413, 0.512818455696106, 0.08414013683795929, 1.4870253801345825, 0.9307149052619934, -0.027432700619101524, -1.0819469690322876, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.0461951307952404, -0.09945663064718246, 0.25352752208709717, -0.03540785238146782, 1.111808180809021, 0.6463797688484192, 0.1046435534954071, 1.5932649374008179, 0.9975097179412842, -0.006467800121754408, -1.2950522899627686, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.0505833625793457, -0.10813716799020767, 0.25831907987594604, -0.07735702395439148, 1.03981351852417, 0.5172743201255798, 0.07055137306451797, 1.5870364904403687, 1.0062389373779297, -0.016248932108283043, -1.055374026298523, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.06701426953077316, -0.0905749574303627, 0.2465851902961731, -0.04906405135989189, 1.0217219591140747, 0.5741756558418274, 0.09024089574813843, 1.5347610712051392, 0.9486113786697388, -0.018319109454751015, -1.1814664602279663, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.05408012866973877, -0.09912064671516418, 0.23823057115077972, -0.07845007628202438, 0.9842863082885742, 0.516157329082489, 0.08162906020879745, 1.512636661529541, 0.959424614906311, -0.023985128849744797, -1.078594446182251, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ -0.0997772142291069, -0.15551598370075226, 0.2614804804325104, -0.13507619500160217, 2.2330005168914795, 0.9495338797569275, 0.561012864112854, 2.211463689804077, 1.1325763463974, 0.06340210139751434, -2.8519208431243896, -0.01...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ -0.01812911592423916, -0.09069666266441345, 0.3142460882663727, -0.21777963638305664, 2.822098970413208, 1.0333831310272217, 0.8136917948722839, 2.2965729236602783, 1.2317613363265991, -0.05074597895145416, -3.4827075004577637, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.03859671950340271, -0.09894748032093048, 0.23197171092033386, -0.06092854216694832, 0.950977623462677, 0.5154451131820679, 0.08593866974115372, 1.4799630641937256, 0.9308522939682007, -0.02886844612658024, -1.0809340476989746, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.03695019334554672, -0.09843847155570984, 0.22863221168518066, -0.060024090111255646, 0.9657608270645142, 0.5155535340309143, 0.08260629326105118, 1.4990557432174683, 0.9386112093925476, -0.027421768754720688, -1.0876892805099487, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2.5
3.5
3.75
-2.5
2
Ses01F_impro06_F010
Yeah. And she was like, that's pathetic, I hope you enjoy it.
2
sad
0.65
5,104
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
2.5
3.5
[ { "feats": [ 0.08635071665048599, -0.11016952991485596, 0.26954007148742676, -0.021486006677150726, 1.0844813585281372, 0.5598099827766418, 0.08863971382379532, 1.6425349712371826, 0.9772821068763733, 0.0108029805123806, -1.1998966932296753, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15755300223827362, -0.06828122586011887, 0.17589589953422546, -0.050140380859375, 0.7500404715538025, 0.5134032368659973, 0.18957075476646423, 1.36581289768219, 0.7677132487297058, 0.04169466719031334, -0.8942763209342957, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15245157480239868, -0.04779617488384247, 0.15469971299171448, -0.012945372611284256, 0.7592397332191467, 0.5593812465667725, 0.19412283599376678, 1.3140301704406738, 0.7619467973709106, 0.037758491933345795, -0.9853112101554871, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15750958025455475, -0.0707305297255516, 0.16973896324634552, -0.03634561598300934, 0.7379858493804932, 0.47712093591690063, 0.16715560853481293, 1.3478350639343262, 0.771674633026123, 0.03388161212205887, -0.8421270847320557, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15301474928855896, -0.06338801980018616, 0.17348667979240417, -0.033267803490161896, 0.7654297947883606, 0.5411961078643799, 0.19404731690883636, 1.3466778993606567, 0.767805278301239, 0.04098163917660713, -0.9475234746932983, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15832915902137756, -0.07080365717411041, 0.1724274605512619, -0.03836619853973389, 0.7450278997421265, 0.4925249516963959, 0.1700974851846695, 1.3517112731933594, 0.7653164863586426, 0.03515757992863655, -0.8752382397651672, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.04267789423465729, -0.16052959859371185, 0.2857443392276764, -0.10991877317428589, 1.4626655578613281, 0.7404388785362244, 0.208975687623024, 2.2364068031311035, 1.0503838062286377, 0.029349973425269127, -1.5337998867034912, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ -0.01268889382481575, -0.060045063495635986, 0.4175496995449066, -0.33020058274269104, 2.0065901279449463, 1.0795193910598755, 0.36385276913642883, 2.6211907863616943, 1.1890710592269897, -0.14409764111042023, -2.211052417755127, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15893521904945374, -0.06868520379066467, 0.17632485926151276, -0.04942900314927101, 0.7500478029251099, 0.5152411460876465, 0.1909797191619873, 1.3611029386520386, 0.7682965993881226, 0.04346834868192673, -0.8949318528175354, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.15660420060157776, -0.06747924536466599, 0.174284890294075, -0.04892447590827942, 0.7482761144638062, 0.512667715549469, 0.189365953207016, 1.3603811264038086, 0.7668376564979553, 0.042230065912008286, -0.8934366703033447, -0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
3
4
5
-2.5
2
Ses01F_impro06_F011
And I, you know, I mean, I said I was sorry and I brought it back to her kind of and I like put it on the ground and she was like, no, it's fine. She was like, I would rather have her back, honestly.
2
sad
1.225
5,337
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
3
4
[ { "feats": [ 0.1649227887392044, -0.08300343155860901, 0.17005009949207306, -0.025629619136452675, 0.7507844567298889, 0.5056570768356323, 0.1801614910364151, 1.312196969985962, 0.7641772031784058, 0.06131306663155556, -0.9180912375450134, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.17773573100566864, -0.04268673062324524, 0.10431373864412308, 0.18727810680866241, 1.0252296924591064, 0.3877820074558258, 0.10479801148176193, 1.3528310060501099, 1.1343889236450195, -0.03987523913383484, -1.1355979442596436, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.1508903205394745, -0.08373083919286728, 0.17199385166168213, 0.18737049400806427, 1.2021735906600952, 0.4274114966392517, 0.12823402881622314, 1.5033701658248901, 1.1660939455032349, 0.00560979638248682, -1.149243712425232, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.12836727499961853, -0.15572714805603027, 0.11002368479967117, 0.1653188019990921, 1.1047500371932983, 0.314353346824646, 0.06500370800495148, 1.4510301351547241, 1.1903656721115112, -0.061403967440128326, -0.9854380488395691, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.1933794915676117, -0.04037957265973091, 0.1469261348247528, 0.16530241072177887, 1.114445447921753, 0.43501514196395874, 0.13242752850055695, 1.3802510499954224, 1.1425106525421143, -0.043896518647670746, -1.1676273345947266, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.14635080099105835, -0.12305977940559387, 0.12098658084869385, 0.1454797387123108, 1.0190753936767578, 0.34777820110321045, 0.08995922654867172, 1.3462108373641968, 1.13386869430542, -0.05705247446894646, -1.046339511871338, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.25944915413856506, -0.3273068964481354, 0.41149288415908813, -0.2635662853717804, 1.6441643238067627, 0.6180413961410522, 0.758954644203186, 1.8189071416854858, 1.1394325494766235, 0.21082855761051178, -1.5873216390609741, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.2493368238210678, -0.443711519241333, 0.4203781187534332, -0.4476439356803894, 1.9515764713287354, 0.56927090883255, 0.8295984268188477, 1.8979978561401367, 1.2081389427185059, 0.18995654582977295, -2.006436824798584, 0.18968...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.16935564577579498, -0.0656208023428917, 0.10167976468801498, 0.1891258955001831, 1.028024435043335, 0.3728325664997101, 0.10052939504384995, 1.3598495721817017, 1.131798267364502, -0.03073039837181568, -1.1138402223587036, 0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.18014545738697052, -0.03922770917415619, 0.11012161523103714, 0.1859065294265747, 1.0372896194458008, 0.3895053267478943, 0.10505145788192749, 1.361517310142517, 1.1440902948379517, -0.03776545077562332, -1.1375786066055298, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2
2
2.5
-2.5
2
Ses01F_impro06_F013
I don't know.
2
sad
0.125
5,333
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.14366912841796875, -0.20523372292518616, 0.23453491926193237, 0.06734653562307358, 1.0230152606964111, 0.40945205092430115, 0.17142346501350403, 1.320099115371704, 1.057645559310913, -0.15039776265621185, -1.1752010583877563, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }