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
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.029667874798178673, -0.22095812857151031, 0.22122810781002045, -0.06814739853143692, 0.7239168286323547, 0.3833628296852112, 0.10128597915172577, 1.3837566375732422, 0.7861101031303406, -0.18429818749427795, -0.6181492805480957, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ -0.022488025948405266, -0.22515057027339935, 0.22082559764385223, -0.060652218759059906, 0.774502158164978, 0.43130919337272644, 0.13640601933002472, 1.3974698781967163, 0.781436562538147, -0.19694994390010834, -0.6713943481445312, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.01840437762439251, -0.2757313847541809, 0.21039102971553802, -0.049818605184555054, 0.7728964686393738, 0.3626859486103058, 0.10601545870304108, 1.4719361066818237, 0.8204808831214905, -0.17594817280769348, -0.5699101686477661, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.03561129793524742, -0.20693348348140717, 0.21161240339279175, -0.04512224346399307, 0.7027683854103088, 0.40737709403038025, 0.11543163657188416, 1.327289342880249, 0.7753313779830933, -0.1853417307138443, -0.6514293551445007, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.043706074357032776, -0.21737314760684967, 0.23515893518924713, -0.03256019577383995, 0.7178663611412048, 0.3547513484954834, 0.09344922006130219, 1.3736687898635864, 0.7778494358062744, -0.17960932850837708, -0.6215903162956238, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ -0.06317846477031708, -0.2969994843006134, 0.18445073068141937, -0.1830567866563797, 0.8738239407539368, 0.42119482159614563, 0.11823666095733643, 1.5214130878448486, 0.9283421039581299, -0.12082118541002274, -0.7738025784492493, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.0187393706291914, -0.23861393332481384, 0.19758325815200806, -0.1942356675863266, 0.9195719957351685, 0.39210283756256104, 0.03130211681127548, 1.514345407485962, 0.949127197265625, -0.11384885013103485, -0.7925918698310852, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.029355553910136223, -0.22106266021728516, 0.22136910259723663, -0.06781787425279617, 0.7246564626693726, 0.38355395197868347, 0.10149921476840973, 1.3849900960922241, 0.7865053415298462, -0.184187114238739, -0.6178802251815796, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.029448887333273888, -0.2209017425775528, 0.22083242237567902, -0.06814883649349213, 0.7239292860031128, 0.3834758698940277, 0.10134078562259674, 1.383993148803711, 0.7861248254776001, -0.18441611528396606, -0.6178672313690186, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
2.5
4
3.75
-2.5
1
Ses01M_script03_2_M041
You're not going like this.
1
anger
1.325
8,786
0.291667
null
null
1
0.5
1
0
0
0
3
2
2
2.5
4
[ { "feats": [ 0.009220252744853497, -0.24001187086105347, 0.2218523919582367, -0.024316269904375076, 0.7027903199195862, 0.41374239325523376, 0.11302600055932999, 1.2999136447906494, 0.7826582193374634, -0.2060145139694214, -0.6330863833427429, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.022779149934649467, -0.32435211539268494, 0.15178507566452026, -0.2007461041212082, 0.7377833724021912, 0.4791456460952759, 0.1895851194858551, 1.6611303091049194, 0.8581560254096985, -0.06755048036575317, -0.5586422085762024, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.03121822513639927, -0.23175647854804993, 0.17690010368824005, -0.2112634778022766, 0.7109203934669495, 0.5158817768096924, 0.2124747633934021, 1.7484999895095825, 0.8243163228034973, -0.07602770626544952, -0.5335649251937866, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.10562414675951004, -0.36154595017433167, 0.1732330620288849, -0.22735105454921722, 0.7447617053985596, 0.4744774401187897, 0.24090377986431122, 1.7342666387557983, 0.8663535118103027, -0.046660762280225754, -0.4637416899204254, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.06364007294178009, -0.28988054394721985, 0.17259269952774048, -0.21830473840236664, 0.7197935581207275, 0.47915446758270264, 0.19966191053390503, 1.6890548467636108, 0.8327307105064392, -0.08035165816545486, -0.5578678846359253, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.0645383819937706, -0.3557547330856323, 0.17182886600494385, -0.20776070654392242, 0.7576980590820312, 0.4783618450164795, 0.20314572751522064, 1.6927573680877686, 0.8762748837471008, -0.07246812433004379, -0.5160343647003174, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.11310753226280212, -0.3670963644981384, 0.09570930898189545, -0.21889713406562805, 0.7441151142120361, 0.4324325919151306, 0.19213050603866577, 1.6001912355422974, 0.8561638593673706, -0.08633993566036224, -0.5195532441139221, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.10345219820737839, -0.37994515895843506, 0.10262329131364822, -0.22016282379627228, 0.76600581407547, 0.4555066227912903, 0.19144931435585022, 1.5884978771209717, 0.8948254585266113, -0.1209792047739029, -0.594123899936676, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
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volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
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volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
2.5
3.5
3.75
-2.5
1
Ses01M_script03_2_M042
No you're not.
1
anger
1.375
2,501
0.5
null
null
0
0.5
0.5
null
0
0
3
2
2
2.5
3.5
[ { "feats": [ -0.12282799184322357, -0.3457595407962799, 0.16493582725524902, -0.21669919788837433, 0.7187086939811707, 0.4766867756843567, 0.2655332684516907, 1.7081114053726196, 0.8239381909370422, -0.049452945590019226, -0.46024036407470703, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.1589687317609787, -0.1655874401330948, 0.16709169745445251, -0.2005215287208557, 0.8194293975830078, 0.48761337995529175, 0.11599484831094742, 1.5807509422302246, 0.7771817445755005, -0.00997390877455473, -0.9697867631912231, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.1607736200094223, -0.1445435732603073, 0.17396216094493866, -0.21108755469322205, 0.8626269102096558, 0.5338647961616516, 0.1349182277917862, 1.5907928943634033, 0.792617678642273, -0.030102768912911415, -1.0217504501342773, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.15576575696468353, -0.17256797850131989, 0.18547724187374115, -0.18840397894382477, 0.8490142822265625, 0.4716465175151825, 0.11449497193098068, 1.6560165882110596, 0.773777186870575, -0.030193841084837914, -0.9042344093322754, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
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speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
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speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.138962060213089, -0.16442079842090607, 0.17243045568466187, -0.1964704990386963, 0.8315165042877197, 0.49298176169395447, 0.12306191027164459, 1.5826188325881958, 0.7563552260398865, -0.03371093422174454, -0.9579498767852783, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.12816376984119415, -0.16465742886066437, 0.18075914680957794, -0.19024471938610077, 0.8363457918167114, 0.49136146903038025, 0.12584097683429718, 1.5840998888015747, 0.7463425993919373, -0.0456102229654789, -0.9543814659118652, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.1590007245540619, -0.16561567783355713, 0.16709096729755402, -0.20052474737167358, 0.8194452524185181, 0.48761576414108276, 0.11598598957061768, 1.5807878971099854, 0.7771905660629272, -0.009972106665372849, -0.9697674512863159, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.1728648543357849, -0.1977146863937378, 0.1768646389245987, -0.20593075454235077, 0.8525959849357605, 0.47861790657043457, 0.12156635522842407, 1.6239088773727417, 0.7779548168182373, -0.027868134900927544, -0.9660385847091675, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1
5
5
10
-5
1
Ses01M_script03_2_M043
Shut up. Shut up. I wouldn't marry you again if you came crawling back to me on a bended knee. You are an evil tempered little vampire and I never want to see you again as long as I live.
1
anger
0
86
1
null
null
0
0
0
null
null
null
3
2
1
5
5
[ { "feats": [ 0.14728441834449768, -0.15177305042743683, 0.1785627007484436, -0.1755238175392151, 0.8001058101654053, 0.4859628677368164, 0.11130132526159286, 1.5245680809020996, 0.7656721472740173, -0.02472313866019249, -0.9658400416374207, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.04088111221790314, -0.15432260930538177, 0.11216050386428833, 0.037427566945552826, 0.7209802865982056, 0.38446977734565735, 0.14234912395477295, 1.3381870985031128, 0.6774327158927917, -0.06997325271368027, -0.80668044090271, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.03799264132976532, -0.1450740098953247, 0.12245720624923706, 0.03440139815211296, 0.7370091676712036, 0.4416671097278595, 0.15534135699272156, 1.3445452451705933, 0.6629006266593933, -0.07940026372671127, -0.8656400442123413, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.0023733729030936956, -0.16854125261306763, 0.13169501721858978, 0.009343947283923626, 0.739214301109314, 0.3649193048477173, 0.15086886286735535, 1.3497339487075806, 0.6947717070579529, -0.06017734855413437, -0.7683447003364563, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.036455899477005005, -0.14466579258441925, 0.12409275025129318, 0.038896217942237854, 0.737379252910614, 0.4169429838657379, 0.14769384264945984, 1.3456474542617798, 0.6707757115364075, -0.08536797761917114, -0.8384321928024292, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.01472786720842123, -0.16970105469226837, 0.12094385921955109, 0.012846333906054497, 0.7261661291122437, 0.3761204481124878, 0.1472294181585312, 1.3538687229156494, 0.6864997744560242, -0.06611107289791107, -0.7837161421775818, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ -0.022141819819808006, -0.16498620808124542, 0.11702273041009903, -0.002897991333156824, 0.7068032622337341, 0.39132750034332275, 0.15291209518909454, 1.2666103839874268, 0.6894460916519165, -0.0737670361995697, -0.8490031957626343, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ -0.026371527463197708, -0.1851281076669693, 0.12962502241134644, -0.005160244647413492, 0.7668349742889404, 0.4342409372329712, 0.1829877495765686, 1.3632283210754395, 0.7392178773880005, -0.08803031593561172, -0.9292176365852356, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.04075423628091812, -0.154316708445549, 0.11196697503328323, 0.03758048266172409, 0.720999538898468, 0.38455334305763245, 0.14237745106220245, 1.3377223014831543, 0.6776326894760132, -0.06989601254463196, -0.8068478107452393, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.040641672909259796, -0.15439367294311523, 0.11211112886667252, 0.03761754184961319, 0.7211249470710754, 0.38449525833129883, 0.14237403869628906, 1.33815336227417, 0.6775609254837036, -0.06990127265453339, -0.8068363070487976, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
8
Ses04F_impro01_F004
I did exactly what they told me to do.
8
anger
0.2
1,806
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
4.5
[ { "feats": [ 0.011086007580161095, -0.15167519450187683, 0.10817594081163406, 0.031014995649456978, 0.7289257645606995, 0.40846434235572815, 0.1538570374250412, 1.2942922115325928, 0.6954490542411804, -0.05445468798279762, -0.8137325644493103, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.03528233617544174, -0.1540389060974121, 0.3319501578807831, -0.0847085490822792, 0.9070681929588318, 0.49986976385116577, 0.08382824063301086, 1.4253994226455688, 0.8643230199813843, -0.11216870695352554, -0.987338125705719, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.051875703036785126, -0.13525882363319397, 0.32124489545822144, -0.04961849004030228, 0.9351056218147278, 0.5422719717025757, 0.08732623606920242, 1.4361439943313599, 0.8516327738761902, -0.11744854599237442, -1.0423401594161987, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.01866746135056019, -0.16002440452575684, 0.32936230301856995, -0.09411847591400146, 0.9037474989891052, 0.4591143727302551, 0.059063270688056946, 1.459747314453125, 0.839838981628418, -0.10909892618656158, -0.9035838842391968, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.05337817221879959, -0.15035666525363922, 0.3519701361656189, -0.0673752874135971, 0.9168239831924438, 0.5169450044631958, 0.09867250174283981, 1.4300634860992432, 0.8696001172065735, -0.12287034094333649, -1.0170725584030151, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.041120387613773346, -0.16985295712947845, 0.3415224552154541, -0.08797460049390793, 0.9122850894927979, 0.4802423119544983, 0.0726974681019783, 1.4629595279693604, 0.8567989468574524, -0.10970312356948853, -0.9421891570091248, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.024930832907557487, -0.1531759798526764, 0.29581889510154724, -0.09240815043449402, 0.9881749153137207, 0.4811933934688568, 0.04184294119477272, 1.3763517141342163, 0.9022108912467957, -0.09722945094108582, -1.0400298833847046, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.003703015623614192, -0.17255286872386932, 0.27285075187683105, -0.11002269387245178, 0.9844428896903992, 0.4363919198513031, 0.04951261356472969, 1.3186367750167847, 0.9309075474739075, -0.10262884199619293, -1.0747904777526855, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.03496258333325386, -0.15391740202903748, 0.3318603038787842, -0.08447136729955673, 0.9070149660110474, 0.4999198913574219, 0.0835406705737114, 1.4258369207382202, 0.8643167614936829, -0.11244028061628342, -0.986856997013092, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.035275060683488846, -0.1539134830236435, 0.3318193554878235, -0.08453984558582306, 0.9070236086845398, 0.4999069273471832, 0.08352228999137878, 1.425356388092041, 0.864274799823761, -0.11225904524326324, -0.9872233867645264, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F008
I've been to the back of the line five times.
8
anger
0.075
9,052
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ 0.0010971660958603024, -0.14082178473472595, 0.3619954288005829, -0.096300408244133, 0.9991008639335632, 0.504949152469635, 0.06051886826753616, 1.4318594932556152, 0.909208357334137, -0.1171455979347229, -1.0035678148269653, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.025535037741065025, -0.26369422674179077, 0.2228722870349884, 0.05413254350423813, 0.9765633940696716, 0.5480166077613831, 0.17285169661045074, 1.443380355834961, 0.809736967086792, -0.025201424956321716, -1.0682634115219116, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.03726715222001076, -0.27119946479797363, 0.2540447413921356, 0.10027645528316498, 0.9683284759521484, 0.5461008548736572, 0.15868648886680603, 1.4001520872116089, 0.7461914420127869, -0.01719539985060692, -1.1152856349945068, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.006794719025492668, -0.30157971382141113, 0.2278505265712738, 0.06855065375566483, 0.9533767104148865, 0.49474185705184937, 0.1450912356376648, 1.4081575870513916, 0.7924847602844238, 0.03203907981514931, -0.9521229863166809, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.033484917134046555, -0.28280726075172424, 0.23703137040138245, 0.09594403207302094, 1.0025556087493896, 0.5658870935440063, 0.17373092472553253, 1.4388470649719238, 0.790095865726471, -0.019474225118756294, -1.109175443649292, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.021880771964788437, -0.2854182720184326, 0.22346097230911255, 0.06402884423732758, 0.9619595408439636, 0.521141767501831, 0.15329180657863617, 1.4112447500228882, 0.7971631288528442, -0.0019270958146080375, -1.011458158493042, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ -0.01966887153685093, -0.2636086940765381, 0.1486022174358368, -0.030645735561847687, 0.974431574344635, 0.4560832977294922, 0.13199079036712646, 1.3575243949890137, 0.7222016453742981, -0.05839833989739418, -1.21017324924469, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ -0.047424349933862686, -0.3043750524520874, 0.1569146364927292, -0.052404992282390594, 1.0635902881622314, 0.48186954855918884, 0.18570426106452942, 1.3919419050216675, 0.7557544112205505, -0.03718646615743637, -1.2933268547058105, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.023372074589133263, -0.26396453380584717, 0.22837993502616882, 0.05559786781668663, 0.9804556965827942, 0.5486931204795837, 0.1696246713399887, 1.4456785917282104, 0.8089633584022522, -0.020759955048561096, -1.0684146881103516, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.02445186860859394, -0.2640359103679657, 0.22477726638317108, 0.05444040521979332, 0.9791077375411987, 0.5489609837532043, 0.1722903847694397, 1.4457534551620483, 0.8099189400672913, -0.023159567266702652, -1.0691697597503662, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro01_F009
Okay. What is it that I did wrong on the form that I have to start all over again?
8
anger
0.075
4,081
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ -0.0070100449956953526, -0.30677103996276855, 0.23953787982463837, 0.11693286150693893, 1.0085915327072144, 0.530185878276825, 0.1605997234582901, 1.4268244504928589, 0.7557678818702698, 0.013475596904754639, -1.069820761680603, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.11698225140571594, -0.2614656388759613, 0.11341152340173721, -0.09560983628034592, 0.6098461747169495, 0.2744917571544647, 0.07794885337352753, 1.3631489276885986, 0.7572047114372253, 0.02937365509569645, -0.5536863207817078, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.12825077772140503, -0.2508183419704437, 0.11492281407117844, -0.06904960423707962, 0.6284953951835632, 0.31798627972602844, 0.09353352338075638, 1.3680214881896973, 0.7523748278617859, 0.025070125237107277, -0.6121906042098999, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.11308819055557251, -0.2616085112094879, 0.12592291831970215, -0.08478666841983795, 0.6179764866828918, 0.23715689778327942, 0.07188902795314789, 1.3574919700622559, 0.7637971043586731, 0.018919767811894417, -0.5154454708099365, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.11737563461065292, -0.26732829213142395, 0.12407635897397995, -0.09052334725856781, 0.6300175189971924, 0.29736602306365967, 0.08199730515480042, 1.3900809288024902, 0.7592478394508362, 0.03155149891972542, -0.5794862508773804, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.1081646978855133, -0.2634434103965759, 0.12419193238019943, -0.09776828438043594, 0.6135572791099548, 0.2592737078666687, 0.06993100047111511, 1.3643670082092285, 0.7645389437675476, 0.023610442876815796, -0.5230996012687683, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.09919273853302002, -0.2555246651172638, 0.10053163766860962, -0.09321225434541702, 0.6278153657913208, 0.2760778069496155, 0.05740276724100113, 1.3193156719207764, 0.7729507684707642, -0.0070726266130805016, -0.5993404388427734, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.12164556235074997, -0.2690950334072113, 0.11418893188238144, -0.08991096913814545, 0.6569782495498657, 0.271690309047699, 0.05308995023369789, 1.2947512865066528, 0.7862252593040466, -0.022226370871067047, -0.6359295845031738, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.11683832108974457, -0.26168668270111084, 0.11353407055139542, -0.09544318169355392, 0.610322892665863, 0.2746785283088684, 0.07782039791345596, 1.3635214567184448, 0.7572621703147888, 0.029378600418567657, -0.5535242557525635, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.11694559454917908, -0.2614265978336334, 0.11344598233699799, -0.09551595896482468, 0.6099610924720764, 0.27453669905662537, 0.07787518203258514, 1.3632311820983887, 0.7571958899497986, 0.02941873110830784, -0.5535158514976501, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F010
Okay. Well, I can do that right here right now without going to the back of the line again. See look initialed. All done. Ready to go.
8
anger
0.125
8,923
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.11061836779117584, -0.24949289858341217, 0.11997989565134048, -0.08458536118268967, 0.6250408291816711, 0.274247407913208, 0.056831832975149155, 1.3790016174316406, 0.7679783701896667, 0.03884018212556839, -0.5563167333602905, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.007417081855237484, -0.24388663470745087, 0.17834092676639557, -0.012283282354474068, 0.6317295432090759, 0.29402005672454834, 0.010864953510463238, 1.1708282232284546, 0.6561667919158936, -0.03911709785461426, -0.7943738698959351,...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.03194975107908249, -0.22398741543293, 0.16603483259677887, 0.019953221082687378, 0.6155480146408081, 0.31821295619010925, 0.0030626049265265465, 1.158223271369934, 0.6388707756996155, -0.04340200498700142, -0.8303298950195312, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.003976719919592142, -0.2566780149936676, 0.162987619638443, 0.003966429736465216, 0.6626690626144409, 0.27907082438468933, 0.002715127542614937, 1.1820659637451172, 0.665077805519104, -0.0354793407022953, -0.7629091739654541, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.019476035609841347, -0.23556125164031982, 0.17883367836475372, 0.006516920402646065, 0.6242554187774658, 0.3060634732246399, 0.0038374224677681923, 1.1682958602905273, 0.6498778462409973, -0.04417642951011658, -0.8091248273849487, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.009141664952039719, -0.25126951932907104, 0.1700289100408554, -0.004116689786314964, 0.6455732583999634, 0.28861257433891296, 0.0009630618151277304, 1.172120213508606, 0.6636191010475159, -0.036944977939128876, -0.7756351828575134,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.008955334313213825, -0.24448388814926147, 0.15052273869514465, 0.0004482023941818625, 0.6913154125213623, 0.3201369345188141, -0.0014281184412539005, 1.206084132194519, 0.6681705117225647, -0.06661917269229889, -0.8267180919647217,...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.007630051113665104, -0.23756422102451324, 0.15782423317432404, -0.004775838926434517, 0.7411801218986511, 0.3422831892967224, 0.024487804621458054, 1.262952208518982, 0.6939655542373657, -0.07895868271589279, -0.8564728498458862, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.007232703268527985, -0.2433137148618698, 0.17843569815158844, -0.011438789777457714, 0.6320450901985168, 0.2939456105232239, 0.010782578028738499, 1.1717067956924438, 0.6562516093254089, -0.038951326161623, -0.7941854000091553, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.007291525602340698, -0.24364691972732544, 0.17851024866104126, -0.011883031576871872, 0.6320034265518188, 0.2941085994243622, 0.010873455554246902, 1.1714752912521362, 0.6562971472740173, -0.0389675498008728, -0.7944411635398865, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
8
Ses04F_impro01_F012
I'm not starting over again. No I have done this five times. I am not starting over again.
8
anger
0.125
6,050
0.375
-0.5
0
1
0.5
0
0
0
null
3
2
2
4.5
5
[ { "feats": [ 0.01636371575295925, -0.23038585484027863, 0.1594625860452652, 0.030412189662456512, 0.6395522952079773, 0.2878243923187256, -0.014496611431241035, 1.1574605703353882, 0.6536641716957092, -0.03631897270679474, -0.7980254888534546, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.0772930458188057, -0.18921539187431335, 0.16473089158535004, -0.06566840410232544, 0.6796404719352722, 0.30728572607040405, 0.045185212045907974, 1.327057957649231, 0.8197656273841858, 0.005655765999108553, -0.7046345472335815, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.07252528518438339, -0.1809232085943222, 0.15268875658512115, -0.04075909033417702, 0.6652343273162842, 0.33167561888694763, 0.06301151216030121, 1.2895653247833252, 0.7789570689201355, 0.0012757391668856144, -0.7437071800231934, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.07985683530569077, -0.20701079070568085, 0.16749337315559387, -0.07835494726896286, 0.6993427276611328, 0.28149527311325073, 0.039126552641391754, 1.3295011520385742, 0.8323858380317688, 0.012912816368043423, -0.6551989316940308, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.07389652729034424, -0.18461449444293976, 0.16145162284374237, -0.05830889195203781, 0.6703944802284241, 0.317499041557312, 0.05201569199562073, 1.3091200590133667, 0.8061609268188477, -0.008398731239140034, -0.7187038660049438, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.08000029623508453, -0.19780413806438446, 0.1634971797466278, -0.07028738409280777, 0.6888803839683533, 0.2927076518535614, 0.04232417792081833, 1.3337085247039795, 0.8285785913467407, 0.009748999029397964, -0.6698683500289917, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.07058973610401154, -0.1846860945224762, 0.1440790593624115, -0.06933727115392685, 0.6561154127120972, 0.30626800656318665, 0.06517113745212555, 1.2585515975952148, 0.7676140069961548, 0.01186302863061428, -0.7306097745895386, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.06158021464943886, -0.1951361447572708, 0.16608786582946777, -0.08234156668186188, 0.702001690864563, 0.30885764956474304, 0.05879850313067436, 1.3426064252853394, 0.7836508750915527, -0.00017596135148778558, -0.743692934513092, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.0773213803768158, -0.1892196536064148, 0.16467970609664917, -0.06559348106384277, 0.6795353889465332, 0.30727630853652954, 0.045180100947618484, 1.3270541429519653, 0.8197166323661804, 0.0056334068067371845, -0.7045406699180603, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.07730723917484283, -0.18925705552101135, 0.16473589837551117, -0.06562801450490952, 0.6796315908432007, 0.30728504061698914, 0.04516352340579033, 1.3270490169525146, 0.8197250962257385, 0.0057035754434764385, -0.7045804858207703, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
5
7.5
-3.75
8
Ses04F_impro01_F014
I mean look she's -she's perfectly nice. She doesn't mind waiting for a couple of minutes because I've been here all day. I have a job to get back to. I have kids to pick up from school. I can't just stay here.
8
anger
0.075
1,807
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
4
5
[ { "feats": [ 0.07734812796115875, -0.19341640174388885, 0.16149094700813293, -0.05730549991130829, 0.6734749674797058, 0.3147885799407959, 0.04828343167901039, 1.284870982170105, 0.8140209317207336, 0.008991217240691185, -0.7042472958564758, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.19428026676177979, -0.23372340202331543, 0.14292897284030914, -0.10196346789598465, 0.7537036538124084, 0.4105952978134155, 0.16327331960201263, 1.5781465768814087, 0.9318686723709106, 0.0027463044971227646, -0.6371877789497375, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.20036612451076508, -0.22789797186851501, 0.12353353947401047, -0.08495232462882996, 0.7358229160308838, 0.4508919417858124, 0.14724355936050415, 1.5670431852340698, 0.8945001363754272, -0.019571714103221893, -0.6910001039505005, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.17738471925258636, -0.24866095185279846, 0.1644107550382614, -0.09133263677358627, 0.80311518907547, 0.39044609665870667, 0.16861481964588165, 1.6336815357208252, 0.9671679735183716, -0.022571614012122154, -0.6031544208526611, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.20264993607997894, -0.23062093555927277, 0.13859064877033234, -0.09186580777168274, 0.741889476776123, 0.4273371696472168, 0.1555805802345276, 1.5662318468093872, 0.9131935238838196, -0.00729729887098074, -0.6639813780784607, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.188084214925766, -0.2507685124874115, 0.15310168266296387, -0.09507953375577927, 0.782831072807312, 0.40405207872390747, 0.16787369549274445, 1.6213977336883545, 0.9647298455238342, -0.005027080420404673, -0.6113234758377075, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.17655332386493683, -0.22342343628406525, 0.1459714025259018, -0.080243781208992, 0.7648665904998779, 0.4101158082485199, 0.14686238765716553, 1.5361263751983643, 0.90948486328125, -0.044112782925367355, -0.6586363911628723, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.1915796995162964, -0.2235083431005478, 0.13220812380313873, -0.07531364262104034, 0.7774191498756409, 0.41356006264686584, 0.12467233836650848, 1.541831612586975, 0.9116421341896057, -0.0399765707552433, -0.6840949654579163, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.1941857784986496, -0.23371528089046478, 0.1429508775472641, -0.1019253060221672, 0.7537270188331604, 0.4105694890022278, 0.16333512961864471, 1.578174352645874, 0.9318842887878418, 0.002661924110725522, -0.6371372938156128, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.1942429393529892, -0.23372477293014526, 0.14294219017028809, -0.10193107277154922, 0.7536848187446594, 0.4105468690395355, 0.16329410672187805, 1.578080654144287, 0.9318490028381348, 0.0027375463396310806, -0.6371752023696899, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4.5
4.5
8.75
-2.5
8
Ses04F_impro01_F016
This is your job is to help people like me who need to get a new license.
8
anger
0.125
8,924
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
4.5
4.5
[ { "feats": [ 0.19479961693286896, -0.23449356853961945, 0.13992834091186523, -0.08752132952213287, 0.7608292698860168, 0.4145966172218323, 0.14237651228904724, 1.5759867429733276, 0.9421762228012085, -0.008634061552584171, -0.6408888697624207, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }