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
0
3.3333
2.3333
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3.33325
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4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.0449419766664505, -0.21115954220294952, 0.15071991086006165, -0.0229148268699646, 0.7177286148071289, 0.4379276633262634, 0.12010902166366577, 1.2501808404922485, 0.7799700498580933, -0.03762597590684891, -0.9402159452438354, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.006914434023201466, -0.17053364217281342, 0.17924918234348297, 0.04057885706424713, 0.7711511850357056, 0.4979904294013977, 0.10492919385433197, 1.2909835577011108, 0.7818283438682556, -0.025715192779898643, -0.9982341527938843, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.027615273371338844, -0.19509242475032806, 0.15832941234111786, -0.008758001029491425, 0.6913831830024719, 0.38077259063720703, 0.12846194207668304, 1.2212539911270142, 0.7788407802581787, -0.019766319543123245, -0.8787811994552612,...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.03045646660029888, -0.19303475320339203, 0.16518856585025787, -0.001073338557034731, 0.7506884336471558, 0.47161081433296204, 0.12016338109970093, 1.2699164152145386, 0.7876081466674805, -0.03828466683626175, -0.9758893251419067, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.037610381841659546, -0.19524641335010529, 0.14277814328670502, -0.0219030249863863, 0.6957588791847229, 0.40393561124801636, 0.12177588790655136, 1.2315526008605957, 0.773209810256958, -0.02960740402340889, -0.9105271697044373, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.07496634125709534, -0.2309354841709137, 0.27158939838409424, -0.10797208547592163, 1.2268939018249512, 0.5898955464363098, 0.16903850436210632, 1.7381447553634644, 1.1753367185592651, -0.060426607728004456, -1.2802448272705078, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.2783900201320648, -0.12997454404830933, 0.43958279490470886, -0.24043181538581848, 1.707360863685608, 0.8259791135787964, 0.3901554048061371, 2.356778621673584, 1.3558192253112793, -0.059021901339292526, -1.4555588960647583, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.03992055356502533, -0.20165297389030457, 0.15471883118152618, -0.01658269762992859, 0.7175995111465454, 0.43995264172554016, 0.1141616478562355, 1.2544071674346924, 0.7826442718505859, -0.03844378888607025, -0.9374393224716187, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.04240914061665535, -0.20713555812835693, 0.15180398523807526, -0.020940206944942474, 0.7169809341430664, 0.4381609857082367, 0.11748024821281433, 1.2503581047058105, 0.7803321480751038, -0.03734249994158745, -0.938278317451477, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F008
Well, you're talented so keep that in mind, you know, you shouldn't give yourself too hard of a time.
4
neutral
0.063881
8,207
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.031165003776550293, -0.1255180388689041, 0.1272728592157364, 0.017245875671505928, 0.7346843481063843, 0.45117080211639404, 0.1137133538722992, 1.2319635152816772, 0.7966925501823425, -0.0331602543592453, -0.9873468279838562, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.027071252465248108, -0.21345099806785583, 0.2928631901741028, -0.11449287831783295, 0.8180913329124451, 0.46237558126449585, 0.11825256049633026, 1.4950485229492188, 0.8673082590103149, -0.029408816248178482, -0.7708930373191833, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.018404869362711906, -0.19478100538253784, 0.278268963098526, -0.0892629623413086, 0.8311647772789001, 0.5254966616630554, 0.12665632367134094, 1.478163719177246, 0.8520141839981079, -0.06594578921794891, -0.8540580868721008, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.014360188506543636, -0.19055362045764923, 0.24689450860023499, -0.1135968565940857, 0.7767215371131897, 0.43405601382255554, 0.10377475619316101, 1.4503271579742432, 0.8581832051277161, -0.020535500720143318, -0.7468772530555725, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.03245333582162857, -0.1975589096546173, 0.2796141803264618, -0.1076178029179573, 0.8060513138771057, 0.49607598781585693, 0.10860614478588104, 1.4662142992019653, 0.8428531885147095, -0.061989571899175644, -0.8199322819709778, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.011126309633255005, -0.204285129904747, 0.2719200849533081, -0.11020877212285995, 0.8052835464477539, 0.4418163299560547, 0.08662467449903488, 1.472227692604065, 0.8615441918373108, -0.010858578607439995, -0.7426384687423706, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ 0.026604775339365005, -0.24304483830928802, 0.32754603028297424, -0.10824451595544815, 1.021382212638855, 0.5728030800819397, 0.11558293551206589, 1.6844394207000732, 1.1002713441848755, -0.09445162862539291, -0.9700667858123779, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ 0.11388657987117767, -0.1864185929298401, 0.5163533687591553, -0.2627181112766266, 1.4245758056640625, 0.8401715755462646, 0.14611825346946716, 2.1558804512023926, 1.3630521297454834, -0.20349542796611786, -1.2657079696655273, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.02683565393090248, -0.2130925953388214, 0.2933865785598755, -0.11240580677986145, 0.8167140483856201, 0.46273064613342285, 0.11647586524486542, 1.4928532838821411, 0.8671635389328003, -0.02966797724366188, -0.7720183730125427, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.026835521683096886, -0.21304181218147278, 0.29280802607536316, -0.11238184571266174, 0.8167433738708496, 0.4618557095527649, 0.11760570853948593, 1.4915987253189087, 0.8664093017578125, -0.02868777886033058, -0.7716686725616455, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
3
2.5
0
4
Ses02M_impro04_F010
That's- I mean. There are more factors then just whether you're good or not, you know what I mean like
4
neutral
0.075
5,031
0.394819
-0.333333
0
0
0.433013
0.829156
null
0
0
4
4
3
2
3
[ { "feats": [ -0.033356960862874985, -0.20294620096683502, 0.2762683928012848, -0.08226393908262253, 0.830517053604126, 0.47998046875, 0.10421459376811981, 1.4678945541381836, 0.8720731735229492, -0.021049203351140022, -0.7768114805221558, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.08257105946540833, -0.21273835003376007, 0.21959328651428223, -0.06695929914712906, 0.66841059923172, 0.3833617866039276, 0.01834902912378311, 1.245859146118164, 0.7836154699325562, -0.01842581108212471, -0.8081070780754089, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.06037052720785141, -0.19251032173633575, 0.20482341945171356, -0.03439924120903015, 0.6571303009986877, 0.4115148186683655, 0.019086241722106934, 1.2173038721084595, 0.7668821215629578, -0.03916061297059059, -0.8333883285522461, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.08373033255338669, -0.20942118763923645, 0.21573251485824585, -0.07325127720832825, 0.6547591090202332, 0.3479191064834595, 0.013197503052651882, 1.2244579792022705, 0.7779973149299622, -0.02114173024892807, -0.7666692733764648, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.07150008529424667, -0.20646698772907257, 0.2127101570367813, -0.046400535851716995, 0.6648946404457092, 0.39898738265037537, 0.018176306039094925, 1.2373504638671875, 0.7781538367271423, -0.024205869063735008, -0.8176342248916626, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.08387482911348343, -0.20787358283996582, 0.21748174726963043, -0.06953991949558258, 0.6689954400062561, 0.3694085478782654, 0.008513329550623894, 1.2486371994018555, 0.7865253686904907, -0.014392731711268425, -0.786181628704071, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.06503169238567352, -0.281414657831192, 0.3514694273471832, -0.09208625555038452, 1.0364328622817993, 0.5034801959991455, 0.03437129780650139, 1.6811978816986084, 1.017027497291565, -0.10370461642742157, -1.0282306671142578, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.07526423782110214, -0.2508780062198639, 0.5977814197540283, -0.2673387825489044, 1.6056387424468994, 0.7740786075592041, 0.0772722139954567, 2.5257465839385986, 1.4087117910385132, -0.2822873890399933, -1.2665411233901978, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.08086269348859787, -0.20909057557582855, 0.21893879771232605, -0.062147751450538635, 0.6671095490455627, 0.38202476501464844, 0.015975244343280792, 1.2438852787017822, 0.7838383913040161, -0.020604396238923073, -0.8073345422744751,...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.08074719458818436, -0.2095997929573059, 0.21876780688762665, -0.06463060528039932, 0.6670302748680115, 0.38254714012145996, 0.017374461516737938, 1.2421035766601562, 0.782713770866394, -0.01916469819843769, -0.8080456256866455, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
3.3333
2.5
0
4
Ses02M_impro04_F011
and the fact that you know there is always different types of things and what kind of people they want in the office and whether it's male or female or you know what I mean, like things are out of your control.
4
neutral
0.097218
5,325
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2
3.3333
[ { "feats": [ 0.07075698673725128, -0.18520739674568176, 0.19313183426856995, -0.03399539738893509, 0.631001353263855, 0.3640054166316986, 0.0023780895862728357, 1.1770648956298828, 0.7682645320892334, -0.03634420409798622, -0.7941437363624573, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.07587985694408417, -0.2017585039138794, 0.07843086868524551, -0.11546938121318817, 0.795988142490387, 0.32646146416664124, 0.08844836056232452, 1.2349741458892822, 0.8957047462463379, -0.06344448029994965, -0.7799385190010071, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.08421444892883301, -0.21826259791851044, 0.1101844534277916, -0.07283113151788712, 0.8219307065010071, 0.37405386567115784, 0.09863518923521042, 1.2664575576782227, 0.9069459438323975, -0.08063951879739761, -0.8591199517250061, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.06557682156562805, -0.17248083651065826, 0.07427598536014557, -0.1277790516614914, 0.7859083414077759, 0.29895931482315063, 0.09593479335308075, 1.158052682876587, 0.9041717052459717, -0.04950055852532387, -0.7644662261009216, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.08309417217969894, -0.22803504765033722, 0.09080391377210617, -0.10207198560237885, 0.8036295175552368, 0.347638875246048, 0.08531975001096725, 1.2621186971664429, 0.8906835317611694, -0.05580316111445427, -0.8025312423706055, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.06397733837366104, -0.1914362907409668, 0.0738496258854866, -0.11748302727937698, 0.7792041301727295, 0.3091159760951996, 0.0851019099354744, 1.1888673305511475, 0.8955796957015991, -0.057253606617450714, -0.773943305015564, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.3096911311149597, -0.1008974015712738, 0.31972771883010864, -0.27482786774635315, 1.4134386777877808, 0.40361687541007996, 0.008085422217845917, 1.7950297594070435, 1.2573405504226685, -0.24590030312538147, -1.262374758720398, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.32116979360580444, 0.1136077269911766, 0.6169883012771606, -0.3479953408241272, 2.0401906967163086, 0.9340028166770935, 0.31849026679992676, 2.6542439460754395, 1.5624275207519531, -0.4612577557563782, -1.5216563940048218, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.07641872018575668, -0.20210717618465424, 0.07734885066747665, -0.11236154288053513, 0.7936672568321228, 0.32772204279899597, 0.08698444813489914, 1.2335981130599976, 0.8963544368743896, -0.06285374611616135, -0.7807242274284363, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.07614884525537491, -0.20098084211349487, 0.07709015160799026, -0.11468473076820374, 0.7954594492912292, 0.3273209035396576, 0.08793840557336807, 1.2323403358459473, 0.8953952193260193, -0.06295417249202728, -0.7812179327011108, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
1.6667
3.6667
1.66675
0
4
Ses02M_impro04_F012
So you should take that in consideration rather than giving yourself such a hard time.
4
neutral
0.297214
6,429
0.373105
-0.333333
0
0
0.433013
1.089725
null
0
0
4
4
3
1.6667
3.6667
[ { "feats": [ 0.07545745372772217, -0.1905985176563263, 0.06820715218782425, -0.0929189920425415, 0.7639843225479126, 0.3427871763706207, 0.08896636217832565, 1.1528726816177368, 0.8864284157752991, -0.044623784720897675, -0.800704300403595, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.03573811426758766, -0.1599743366241455, 0.18701206147670746, 0.018898935988545418, 0.8199502825737, 0.4101012945175171, 0.20638218522071838, 1.4059416055679321, 0.7989947199821472, -0.12046899646520615, -0.67833012342453, -0....
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.06378158926963806, -0.14088882505893707, 0.15650305151939392, 0.030477384105324745, 0.8137694597244263, 0.4436900019645691, 0.19626204669475555, 1.3931177854537964, 0.7811090350151062, -0.12618388235569, -0.7328047752380371, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.04097224399447441, -0.15812024474143982, 0.16738688945770264, 0.027672749012708664, 0.7573512196540833, 0.3626515567302704, 0.20420758426189423, 1.3550951480865479, 0.7839133739471436, -0.09741326421499252, -0.635084867477417, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.0474521704018116, -0.16016684472560883, 0.17540374398231506, 0.029188122600317, 0.8264472484588623, 0.4319189488887787, 0.2028282731771469, 1.4156575202941895, 0.8020035028457642, -0.11532466858625412, -0.692960798740387, -0....
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.04004436731338501, -0.15318164229393005, 0.17861580848693848, 0.0252375490963459, 0.7894364595413208, 0.3891536593437195, 0.2065446525812149, 1.3711795806884766, 0.791475236415863, -0.11070404946804047, -0.6576507687568665, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.05463807284832001, -0.14763766527175903, 0.296720027923584, 0.04271669685840607, 1.1529101133346558, 0.5585951209068298, 0.201285719871521, 1.7257825136184692, 1.0087066888809204, -0.15962539613246918, -0.9701452851295471, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.13506580889225006, -0.16501644253730774, 0.562798798084259, -0.035259589552879333, 1.7031219005584717, 0.7622860670089722, 0.3236238360404968, 2.3544135093688965, 1.354069471359253, -0.24578487873077393, -1.300502896308899, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.0358109287917614, -0.159956693649292, 0.18670901656150818, 0.020058149471879005, 0.819106936454773, 0.4096253514289856, 0.206461101770401, 1.4045358896255493, 0.7992209196090698, -0.1215219646692276, -0.6768222451210022, -0.1...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.03545055165886879, -0.1590745598077774, 0.18594840168952942, 0.019166192039847374, 0.8189095258712769, 0.40981972217559814, 0.2067139446735382, 1.4027554988861084, 0.7978736758232117, -0.12034813314676285, -0.6783589124679565, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.3333
3.3333
3.33325
0.83325
4
Ses02M_impro04_F014
You know and the fact you still here and still cooking, like it's good that you're thinking about it, that you're reconsidering.
4
neutral
0.086099
8,567
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.3333
2.3333
3.3333
[ { "feats": [ 0.0397615022957325, -0.14009369909763336, 0.19322092831134796, 0.0338699035346508, 0.8058265447616577, 0.40692076086997986, 0.18821166455745697, 1.3495569229125977, 0.7937649488449097, -0.10874529182910919, -0.6760391592979431, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.0953492596745491, -0.2169906049966812, 0.15185880661010742, -0.12104474753141403, 0.8061488270759583, 0.4724751114845276, 0.11265460401773453, 1.2793182134628296, 0.7469419240951538, -0.01348851528018713, -0.9844282865524292, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.08061530441045761, -0.2357465773820877, 0.14648190140724182, -0.08487782627344131, 0.8387120366096497, 0.518424928188324, 0.11769980192184448, 1.2875559329986572, 0.7430961728096008, -0.006412926595658064, -1.0392154455184937, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.08736342191696167, -0.19297988712787628, 0.1235697790980339, -0.10214384645223618, 0.7941619157791138, 0.42495980858802795, 0.10094185918569565, 1.249288558959961, 0.744794487953186, -0.008376630954444408, -0.9423142075538635, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.09326404333114624, -0.2160041332244873, 0.15438063442707062, -0.09964899718761444, 0.8166158199310303, 0.4947538673877716, 0.11368648707866669, 1.2761012315750122, 0.7447235584259033, -0.010258788242936134, -1.0052095651626587, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.08787092566490173, -0.21415454149246216, 0.14164701104164124, -0.11621086299419403, 0.7975149154663086, 0.44951772689819336, 0.11015539616346359, 1.2688568830490112, 0.7432284355163574, -0.01025152113288641, -0.9573097229003906, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.00662578409537673, -0.24246011674404144, 0.23564766347408295, -0.08525321632623672, 1.2174715995788574, 0.57522052526474, 0.10779821127653122, 1.8422454595565796, 0.9649496078491211, 0.022639401257038116, -1.3116025924682617, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.10570196062326431, -0.13062970340251923, 0.32078826427459717, -0.185477614402771, 1.5662351846694946, 0.7833839058876038, 0.2670411765575409, 2.2316813468933105, 1.1300097703933716, 0.11778213828802109, -1.5076349973678589, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.09098498523235321, -0.21232697367668152, 0.15021465718746185, -0.11372661590576172, 0.8066380620002747, 0.47140008211135864, 0.10773221403360367, 1.2794950008392334, 0.7462502121925354, -0.013457938097417355, -0.9831305146217346, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.09340353310108185, -0.2141687572002411, 0.15094371140003204, -0.11753469705581665, 0.8049299120903015, 0.4719085395336151, 0.11104424297809601, 1.275895595550537, 0.7454837560653687, -0.013506426475942135, -0.9832867383956909, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.3333
3.3333
3.33325
0
4
Ses02M_impro04_F015
But like, just because you're considering why it's been so difficult doesn't mean you should just stop.
4
neutral
0.030554
5,322
0.391747
-0.333333
0
0
0.433013
0.866025
null
0
0
4
4
3
2.3333
3.3333
[ { "feats": [ 0.06810057163238525, -0.18444770574569702, 0.12019512802362442, -0.07854617387056351, 0.8238979578018188, 0.47926005721092224, 0.0877515971660614, 1.2438994646072388, 0.7646112442016602, -0.008132620714604855, -1.013500690460205, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.002520306035876274, -0.22090989351272583, 0.05228050798177719, -0.04079252853989601, 0.8475801348686218, 0.4188668131828308, 0.10460930317640305, 1.4234035015106201, 0.7515779733657837, -0.08649145811796188, -0.8633535504341125, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ -0.007186205592006445, -0.22249282896518707, 0.04371016472578049, 0.04701967537403107, 0.8736158609390259, 0.48590087890625, 0.11146269738674164, 1.4062367677688599, 0.7652646899223328, -0.1114862859249115, -0.9557045698165894, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ -0.012479405850172043, -0.23481085896492004, 0.032321881502866745, -0.01231902465224266, 0.8435367345809937, 0.3712431490421295, 0.07298152148723602, 1.409683108329773, 0.7714036703109741, -0.08473462611436844, -0.7978856563568115, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.007732742000371218, -0.2345326840877533, 0.043598778545856476, -0.004977530334144831, 0.8696255087852478, 0.4612308442592621, 0.10252135992050171, 1.4255189895629883, 0.7596607804298401, -0.1131444126367569, -0.9057936668395996, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.005744164809584618, -0.2230553925037384, 0.035761937499046326, -0.03430331125855446, 0.8504148721694946, 0.402933806180954, 0.09442533552646637, 1.4061863422393799, 0.7623053193092346, -0.09217779338359833, -0.836011528968811, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.0777062401175499, -0.21459534764289856, 0.1740153580904007, -0.1849500983953476, 1.2889864444732666, 0.5134647488594055, 0.24806572496891022, 1.834715723991394, 0.9711651802062988, -0.015871353447437286, -1.3009309768676758, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.08982477337121964, -0.22152361273765564, 0.3859735131263733, -0.23994246125221252, 1.643202781677246, 0.6721623539924622, 0.31485283374786377, 2.283651113510132, 1.2297894954681396, -0.17623060941696167, -1.621442198753357, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.0005589801585301757, -0.2233373522758484, 0.04695650562644005, -0.031126730144023895, 0.8533098697662354, 0.4210493266582489, 0.10033374279737473, 1.4241282939910889, 0.7567863464355469, -0.08700806647539139, -0.8681537508964539, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ 0.0023177319671958685, -0.2231416553258896, 0.049404360353946686, -0.036411385983228683, 0.8497164249420166, 0.4199678599834442, 0.101204052567482, 1.418755054473877, 0.7540831565856934, -0.08485575020313263, -0.8645574450492859, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.6667
3
4.16675
0
4
Ses02M_impro04_F016
Maybe you should take a little break from it, but I don't think you should stop.
4
neutral
0.008337
9,342
0.279191
-0.333333
0
0.433013
0.829156
0.829156
0
0
0
4
4
3
2.6667
3
[ { "feats": [ -0.02050917036831379, -0.22622014582157135, 0.028138242661952972, 0.040915485471487045, 0.8351110816001892, 0.43734925985336304, 0.06962453573942184, 1.327679991722107, 0.767653226852417, -0.07791174948215485, -0.9137270450592041, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.0909532830119133, -0.3057291507720947, 0.0359153226017952, 0.015896428376436234, 1.0153014659881592, 0.32935768365859985, 0.009749664925038815, 1.6588902473449707, 1.0118582248687744, 0.1606590300798416, -0.5621551871299744, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.05571041256189346, -0.29397621750831604, 0.01672738790512085, 0.018192078918218613, 1.05447256565094, 0.3714936077594757, 0.032064247876405716, 1.707155466079712, 1.0046316385269165, 0.23409900069236755, -0.6138951778411865, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.0719163790345192, -0.30654609203338623, 0.02091318927705288, 0.006839658599346876, 1.0480568408966064, 0.32018929719924927, -0.03492049127817154, 1.6538864374160767, 1.0747463703155518, 0.07342157512903214, -0.4911250174045563, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.10638261586427689, -0.3028964400291443, 0.030608437955379486, 0.016413874924182892, 1.0192694664001465, 0.3479371964931488, 0.021403193473815918, 1.6621674299240112, 0.9950060844421387, 0.2007170021533966, -0.5776479244232178, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.0771339163184166, -0.2939569354057312, 0.03111869841814041, 0.016018105670809746, 1.0160895586013794, 0.339351087808609, -0.015290220268070698, 1.6589434146881104, 1.0301588773727417, 0.1271980106830597, -0.5171204209327698, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.16903862357139587, -0.3435460925102234, 0.17653349041938782, -0.26034122705459595, 1.2863876819610596, 0.4276035726070404, 0.21315263211727142, 1.7359896898269653, 1.254971981048584, 0.16841255128383636, -0.7613716721534729, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.36102595925331116, -0.2971118688583374, 0.22454984486103058, -0.12984441220760345, 1.3566150665283203, 0.5511960387229919, 0.3615250289440155, 1.8910341262817383, 1.3647563457489014, 0.08473724126815796, -1.21125328540802, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.09176833182573318, -0.30376628041267395, 0.034320298582315445, 0.016483258455991745, 1.0145055055618286, 0.33124908804893494, 0.0019192680483683944, 1.666658878326416, 1.0167338848114014, 0.15979479253292084, -0.5561924576759338, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.09056437015533447, -0.3059302568435669, 0.033309947699308395, 0.018485145643353462, 1.0151731967926025, 0.3292103111743927, 0.006212503183633089, 1.6634414196014404, 1.01512610912323, 0.15889964997768402, -0.5578099489212036, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3
2.5
5
1.25
4
Ses02M_impro05_F000
Hi, can I help you?
4
neutral
0.25
6,763
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
3.5
3
2.5
[ { "feats": [ 0.08097325265407562, -0.2640526592731476, 0.002773597603663802, 0.05235868692398071, 0.9567515254020691, 0.35352855920791626, -0.01720532774925232, 1.5086289644241333, 0.9821205735206604, 0.13124138116836548, -0.573419451713562, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.12050490826368332, -0.11276464909315109, 0.14274846017360687, -0.07903624325990677, 0.8097172975540161, 0.3519737422466278, 0.1255408376455307, 1.2881276607513428, 0.9061501026153564, -0.13464105129241943, -0.7021236419677734, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.11761966347694397, -0.09733971208333969, 0.14401233196258545, -0.06892286986112595, 0.8381218314170837, 0.39346548914909363, 0.12025759369134903, 1.2932136058807373, 0.9086251258850098, -0.15023837983608246, -0.7756483554840088, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.12812089920043945, -0.10124174505472183, 0.123776875436306, -0.05908513814210892, 0.7524564862251282, 0.3132764399051666, 0.11219064891338348, 1.162099838256836, 0.8631526231765747, -0.1001158207654953, -0.6926689147949219, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.1139412447810173, -0.10145993530750275, 0.15570279955863953, -0.07250948995351791, 0.8381702899932861, 0.3752571642398834, 0.12651307880878448, 1.3073862791061401, 0.9097251892089844, -0.15292629599571228, -0.7333449125289917, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.13110561668872833, -0.1028800830245018, 0.14325487613677979, -0.06509048491716385, 0.7774114608764648, 0.3322503864765167, 0.11914306879043579, 1.2344729900360107, 0.8860845565795898, -0.1156277135014534, -0.6859365701675415, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.09942135214805603, -0.19209231436252594, 0.3024040758609772, -0.06375724077224731, 1.072281002998352, 0.3934929072856903, 0.09336148947477341, 1.5188356637954712, 1.0902628898620605, -0.2558650076389313, -0.9221433997154236, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.08509554713964462, -0.2013736069202423, 0.4770321846008301, -0.2774355113506317, 1.5316569805145264, 0.5626986622810364, 0.145652174949646, 2.078037977218628, 1.3781107664108276, -0.36559194326400757, -1.1829776763916016, 0.0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.12041422724723816, -0.11312400549650192, 0.14280281960964203, -0.07882048934698105, 0.8096923232078552, 0.3527418076992035, 0.12483461201190948, 1.2874380350112915, 0.9069310426712036, -0.13417458534240723, -0.7026388645172119, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.12089648842811584, -0.11326780170202255, 0.14220240712165833, -0.07886757701635361, 0.808972954750061, 0.3515499234199524, 0.1258283257484436, 1.2861013412475586, 0.9053972959518433, -0.1342124193906784, -0.7026180624961853, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02M_impro05_F001
Oh, did you check? Did you make sure as it went around the second time that it-
4
neutral
0.2
509
0.691074
null
null
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.11770910769701004, -0.10765330493450165, 0.14027850329875946, -0.049078211188316345, 0.7864891886711121, 0.3405790328979492, 0.10950954258441925, 1.2058331966400146, 0.8795120120048523, -0.13422918319702148, -0.7259790897369385, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.09768080711364746, -0.14702054858207703, 0.04674839228391647, 0.050525203347206116, 0.9344878792762756, 0.678132176399231, 0.2707022428512573, 1.5994330644607544, 0.7526980042457581, 0.01430507656186819, -0.32140636444091797, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.091715008020401, -0.15482498705387115, 0.10699823498725891, 0.07574249058961868, 0.975369930267334, 0.7290758490562439, 0.27975812554359436, 1.631938099861145, 0.7794678807258606, -0.020185599103569984, -0.3823009729385376, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.1003703624010086, -0.15536242723464966, 0.0161838848143816, 0.016022462397813797, 0.897774338722229, 0.6507015824317932, 0.24597471952438354, 1.5292531251907349, 0.7118661403656006, 0.039415184408426285, -0.3165312707424164, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.09618420898914337, -0.1607007384300232, 0.09572499990463257, 0.04865061119198799, 0.9650270938873291, 0.7051325440406799, 0.29211053252220154, 1.6505204439163208, 0.7624775171279907, 0.023106543347239494, -0.33264872431755066, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.09366704523563385, -0.14481154084205627, 0.028223950415849686, 0.038429100066423416, 0.9049813151359558, 0.6684848070144653, 0.2700200378894806, 1.5449148416519165, 0.7227509617805481, 0.06435082107782364, -0.30613088607788086, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.008823978714644909, -0.15181860327720642, 0.02965199202299118, 0.005720517598092556, 0.9812572002410889, 0.7379721999168396, 0.24942080676555634, 1.6794325113296509, 0.8324569463729858, -0.03151626139879227, -0.5258597135543823, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.07648167014122009, -0.14451253414154053, 0.09953489899635315, 0.017007403075695038, 1.1536263227462769, 0.7395347356796265, 0.28516194224357605, 1.7841349840164185, 0.9005832076072693, 0.13001523911952972, -0.593780517578125, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.09865962713956833, -0.14733336865901947, 0.048372782766819, 0.05210498347878456, 0.9345636367797852, 0.6788543462753296, 0.2711091637611389, 1.5982662439346313, 0.7526909708976746, 0.01381063461303711, -0.32157421112060547, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.09821286797523499, -0.1465112864971161, 0.046321604400873184, 0.050926100462675095, 0.9340949058532715, 0.6784852743148804, 0.2704051434993744, 1.598275899887085, 0.7527962923049927, 0.012902621179819107, -0.3225727677345276, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2.5
3.75
0
4
Ses02M_impro05_F002
Okay. Well, um- the f.
4
neutral
0.05
2,187
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.11678583920001984, -0.12479240447282791, 0.059021834284067154, 0.03999793902039528, 0.9028509855270386, 0.6798661947250366, 0.24127109348773956, 1.5145516395568848, 0.7558268308639526, -0.04642608389258385, -0.35850438475608826, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }