label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.12444757670164108, -0.15432552993297577, 0.17313963174819946, -0.03256040811538696, 0.8449967503547668, 0.482864111661911, 0.16021129488945007, 1.3241130113601685, 0.8221456408500671, -0.13637962937355042, -1.0924959182739258, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.0897405818104744, -0.12561210989952087, 0.19379739463329315, -0.04639982804656029, 0.9021680951118469, 0.5308219194412231, 0.176927849650383, 1.3496601581573486, 0.8414875268936157, -0.16308727860450745, -1.1902964115142822, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.11103717237710953, -0.13567759096622467, 0.16947142779827118, -0.0011838320642709732, 0.7797414064407349, 0.43973636627197266, 0.12080659717321396, 1.2874670028686523, 0.8116784691810608, -0.15519897639751434, -1.0153374671936035, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.10884889960289001, -0.1367575079202652, 0.1782330870628357, -0.021215053275227547, 0.8616030812263489, 0.5062958598136902, 0.18627427518367767, 1.3146227598190308, 0.8305991291999817, -0.15092284977436066, -1.1363463401794434, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.11468726396560669, -0.1449819952249527, 0.17184121906757355, -0.013404835015535355, 0.7947462797164917, 0.45553523302078247, 0.1401301771402359, 1.284629464149475, 0.8130216002464294, -0.1497950553894043, -1.046424150466919, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.1004268154501915, -0.12037380784749985, 0.30928659439086914, -0.0440145768225193, 1.2885044813156128, 0.5405372381210327, 0.21640615165233612, 1.886284351348877, 1.054080605506897, -0.013230877928435802, -1.5330846309661865, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.10756178945302963, -0.08095014840364456, 0.3411717712879181, -0.07158949226140976, 1.623377799987793, 0.7412293553352356, 0.2961539924144745, 2.0509226322174072, 1.1957216262817383, 0.07700137048959732, -2.0323638916015625, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.1186961978673935, -0.14341263473033905, 0.176531583070755, -0.027239324524998665, 0.8433603048324585, 0.47830861806869507, 0.14901648461818695, 1.337475061416626, 0.8211591243743896, -0.1475224792957306, -1.0829046964645386, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.1211407259106636, -0.1489776074886322, 0.1737184077501297, -0.029278060421347618, 0.8423435688018799, 0.48183831572532654, 0.15569788217544556, 1.3264235258102417, 0.8215352892875671, -0.14160749316215515, -1.0866413116455078, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
7
Ses04F_script02_2_M041
No, I know but still. I know I don't make you happy.
7
sad
0.4
1,418
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
3
[ { "feats": [ 0.06155424937605858, -0.12409694492816925, 0.18700890243053436, -0.010413436219096184, 0.9042117595672607, 0.5265689492225647, 0.16863401234149933, 1.3768987655639648, 0.8937914371490479, -0.15835162997245789, -1.1534814834594727, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.0202754195779562, -0.23965848982334137, 0.21216335892677307, 0.005801703780889511, 0.8068650364875793, 0.38902509212493896, -0.027160247787833214, 1.307966947555542, 0.7481409907341003, -0.10566733777523041, -0.8354870080947876, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.054905928671360016, -0.16753628849983215, 0.2133408486843109, -0.07958421856164932, 0.8197404742240906, 0.45715636014938354, 0.001351808663457632, 1.3058829307556152, 0.7437020540237427, -0.11600857228040695, -0.9378466606140137, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ -0.029813120141625404, -0.2525828182697296, 0.25474876165390015, 0.021533234044909477, 0.7659505009651184, 0.337562620639801, 0.007484941277652979, 1.2366405725479126, 0.711722731590271, -0.04953068867325783, -0.7297203540802002, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.01669989712536335, -0.1972547173500061, 0.20276841521263123, 0.0048574237152934074, 0.7983221411705017, 0.4226808249950409, -0.006830460857599974, 1.2928115129470825, 0.7512772083282471, -0.11915945261716843, -0.8636602759361267, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.007840355858206749, -0.22722983360290527, 0.22782039642333984, 0.025112038478255272, 0.8040183186531067, 0.379723459482193, -0.020012423396110535, 1.3008675575256348, 0.7578058838844299, -0.11511383950710297, -0.8019701242446899, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.02530956268310547, -0.29474180936813354, 0.25952133536338806, -0.13648748397827148, 0.8031734228134155, 0.3839823305606842, 0.1023547425866127, 1.3060158491134644, 0.7068286538124084, 0.015912434086203575, -0.8031817078590393, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.020438501611351967, -0.35204777121543884, 0.1946212500333786, -0.14339390397071838, 0.8866591453552246, 0.4298093914985657, 0.12993979454040527, 1.4237565994262695, 0.7978350520133972, -0.020221641287207603, -0.8881394267082214, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.01926264353096485, -0.2392253428697586, 0.21216028928756714, 0.0054267337545752525, 0.8056846857070923, 0.38897982239723206, -0.026742424815893173, 1.3063287734985352, 0.747437596321106, -0.10550068318843842, -0.8348830342292786, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.030442964285612106, -0.24802610278129578, 0.21225136518478394, 0.0066169570200145245, 0.8076843023300171, 0.38604310154914856, -0.02622869797050953, 1.3141191005706787, 0.7441346645355225, -0.09716642647981644, -0.8335860371589661,...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
2
Ses01M_impro01_F000
Next.
2
anger
0.3
9,666
0.260213
-0.333333
0
0.471405
1.414214
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ -0.07549092173576355, -0.21328306198120117, 0.22496813535690308, 0.03664042055606842, 0.8099374175071716, 0.45631521940231323, 0.04868464916944504, 1.2595683336257935, 0.7631659507751465, -0.11734946817159653, -0.8499398231506348, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.08682176470756531, -0.3592967689037323, 0.35470202565193176, -0.27642104029655457, 0.961500346660614, 0.25519517064094543, 0.13586828112602234, 1.3461772203445435, 0.8455448746681213, 0.08448520302772522, -0.8281608819961548, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ -0.003375257598236203, -0.255403995513916, 0.2987971901893616, -0.1357511579990387, 0.9149422645568848, 0.3064400255680084, 0.13698217272758484, 1.2565431594848633, 0.8062883615493774, 0.052745528519153595, -0.8963329195976257, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.027742478996515274, -0.34727591276168823, 0.2760160267353058, -0.21302853524684906, 0.9142839312553406, 0.19098255038261414, 0.09702237695455551, 1.2114495038986206, 0.820950984954834, 0.08851353079080582, -0.7541628479957581, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.07744978368282318, -0.31076154112815857, 0.3363892138004303, -0.21782760322093964, 0.9498639702796936, 0.28985121846199036, 0.15338976681232452, 1.3147501945495605, 0.8171223402023315, 0.07864532619714737, -0.8921329975128174, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.05637252330780029, -0.35618457198143005, 0.31635230779647827, -0.23861533403396606, 0.9474002122879028, 0.22932542860507965, 0.12759920954704285, 1.2903800010681152, 0.8411632180213928, 0.09069238603115082, -0.7894631028175354, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ -0.045057959854602814, -0.1904415488243103, 0.23444746434688568, -0.13985027372837067, 1.022358775138855, 0.275912880897522, 0.11194749176502228, 1.3565971851348877, 0.9177939295768738, 0.05683864280581474, -0.897596001625061, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ -0.0017586287576705217, -0.16159173846244812, 0.20263835787773132, -0.18291480839252472, 1.0754656791687012, 0.3099939823150635, 0.1399656981229782, 1.404433250427246, 0.9598908424377441, 0.060268159955739975, -0.9878795146942139, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.0865079015493393, -0.3587886691093445, 0.3544612228870392, -0.2760310471057892, 0.9611276984214783, 0.2552606463432312, 0.1359659880399704, 1.3456733226776123, 0.8457677364349365, 0.08449877798557281, -0.8278053998947144, 0.0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.08674882352352142, -0.35940152406692505, 0.35445457696914673, -0.27576032280921936, 0.9612189531326294, 0.2550320029258728, 0.13583986461162567, 1.3455923795700073, 0.8455070853233337, 0.08445243537425995, -0.8278326392173767, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro01_F001
My window is open.
2
anger
0.85
7,262
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ -0.013185877352952957, -0.23995421826839447, 0.28484874963760376, -0.0931537002325058, 0.9191595911979675, 0.2792908251285553, 0.10688565671443939, 1.246350646018982, 0.8179119825363159, 0.06041837856173515, -0.833372950553894, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.21764521300792694, -0.2793557941913605, 0.16480933129787445, -0.16019307076931, 0.8910855650901794, 0.4960634708404541, 0.054952919483184814, 1.5994726419448853, 0.9004215002059937, 0.0075221979059278965, -0.6500933766365051, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.15648017823696136, -0.22556351125240326, 0.19145426154136658, -0.06593345105648041, 0.9221362471580505, 0.5532371997833252, 0.07443733513355255, 1.520659327507019, 0.9149142503738403, 0.022118277847766876, -0.7355271577835083, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.1514153927564621, -0.24109455943107605, 0.1610294133424759, -0.10104332119226456, 0.9012499451637268, 0.47047168016433716, 0.023711033165454865, 1.5703630447387695, 0.9102383255958557, -0.016417043283581734, -0.5738488435745239, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.21030952036380768, -0.2740941047668457, 0.17675456404685974, -0.1324431300163269, 0.899138867855072, 0.5245782732963562, 0.06879112869501114, 1.572798252105713, 0.9010820388793945, 0.015928959473967552, -0.6893515586853027, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.18597182631492615, -0.2496614307165146, 0.16769622266292572, -0.1475609540939331, 0.9257557988166809, 0.4951036274433136, 0.02651583030819893, 1.6055482625961304, 0.9207278490066528, -0.005185494665056467, -0.6321947574615479, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.15828517079353333, -0.286950021982193, 0.11958253383636475, -0.09410969913005829, 0.9150345921516418, 0.4828299880027771, 0.04220804572105408, 1.5923376083374023, 0.9498547911643982, 0.006188575644046068, -0.6919967532157898, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.1595076322555542, -0.23848257958889008, 0.13254153728485107, -0.16471025347709656, 0.9588077068328857, 0.5039933323860168, 0.0030988792423158884, 1.614328145980835, 0.9868617057800293, -0.050361957401037216, -0.7482788562774658, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.21734924614429474, -0.2784191966056824, 0.16508997976779938, -0.15996883809566498, 0.8917123079299927, 0.4960806369781494, 0.05387332662940025, 1.599284291267395, 0.9009342193603516, 0.007176392246037722, -0.650044858455658, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.2174038589000702, -0.2789357006549835, 0.16503068804740906, -0.1602531373500824, 0.8911982178688049, 0.4958347678184509, 0.054383669048547745, 1.599002480506897, 0.9004406929016113, 0.007185794413089752, -0.6500328779220581, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
2
Ses01M_impro01_F007
No, I need your ID to give you a second ID.
2
anger
0.425
8,342
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
3.5
4
[ { "feats": [ 0.12311363220214844, -0.23456929624080658, 0.1581716537475586, -0.030472388491034508, 0.9466245770454407, 0.5417704582214355, 0.04256437346339226, 1.513437271118164, 0.9194386005401611, -0.026440048590302467, -0.6837486028671265, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.04230830445885658, -0.237857386469841, 0.030019685626029968, 0.03351627290248871, 0.7419772148132324, 0.3707887530326843, 0.084023617208004, 1.5023154020309448, 0.8284932374954224, -0.03227332606911659, -0.7411002516746521, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.04594602808356285, -0.18312041461467743, 0.04151289537549019, 0.06289233267307281, 0.7179626822471619, 0.40876835584640503, 0.13437719643115997, 1.4437235593795776, 0.7855015397071838, -0.023955008015036583, -0.7724038362503052, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.024719933047890663, -0.2857862114906311, 0.04382295906543732, 0.01787981577217579, 0.7590177655220032, 0.36406365036964417, 0.08874323964118958, 1.5117156505584717, 0.8555015921592712, -0.02619222179055214, -0.6852708458900452, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.03849277272820473, -0.21693478524684906, 0.027694664895534515, 0.04482981935143471, 0.7391672730445862, 0.3867495059967041, 0.10414718091487885, 1.5153858661651611, 0.8253552317619324, -0.03057883307337761, -0.7528746724128723, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.03185386583209038, -0.2608708143234253, 0.03302588313817978, 0.03126124292612076, 0.7566068768501282, 0.3704794645309448, 0.09298142790794373, 1.5026253461837769, 0.84494948387146, -0.023792142048478127, -0.7136054039001465, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.04333425685763359, -0.2896532118320465, 0.016590246930718422, 0.0055283959954977036, 0.7108973264694214, 0.361505925655365, 0.13261212408542633, 1.4329023361206055, 0.8218088746070862, -0.013632656075060368, -0.7652494311332703, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.03313753381371498, -0.3464801609516144, 0.000006752789886377286, -0.0189413633197546, 0.7211254239082336, 0.356029748916626, 0.1277008056640625, 1.4132816791534424, 0.8305949568748474, -0.002692238660529256, -0.7742970585823059, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.042096346616744995, -0.23776671290397644, 0.03019171953201294, 0.03344150632619858, 0.7416754364967346, 0.37066712975502014, 0.08417415618896484, 1.5018277168273926, 0.8282762169837952, -0.032275035977363586, -0.7408421635627747, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.04245591536164284, -0.2380642294883728, 0.02970871701836586, 0.03414757549762726, 0.7411181330680847, 0.36990347504615784, 0.08408208191394806, 1.5023194551467896, 0.8277168869972229, -0.03303857892751694, -0.7420657873153687, ...
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
2
Ses01M_impro01_F008
It's really simple if you have a problem with it... Maybe you should--
2
anger
0.075
3,418
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.013253593817353249, -0.23017895221710205, 0.0371827706694603, 0.08442094922065735, 0.7229583859443665, 0.392179399728775, 0.08101256936788559, 1.4289120435714722, 0.809958815574646, -0.02406865544617176, -0.7411117553710938, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.1055448055267334, -0.11099512875080109, 0.24526347219944, -0.04927463456988335, 0.7126937508583069, 0.251373291015625, 0.20482151210308075, 1.2059789896011353, 0.9183375835418701, -0.11921381205320358, -0.6836079359054565, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.08597762137651443, -0.12414673715829849, 0.2235211282968521, 0.02076669968664646, 0.7242934107780457, 0.31569236516952515, 0.19133597612380981, 1.2127004861831665, 0.8729336261749268, -0.1498846709728241, -0.7701810598373413, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.0857662707567215, -0.12401977181434631, 0.22929424047470093, -0.07295345515012741, 0.7435081601142883, 0.2558930814266205, 0.20272967219352722, 1.193631887435913, 0.9423675537109375, -0.14258025586605072, -0.6427975296974182, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.10484454035758972, -0.11774633079767227, 0.23972617089748383, -0.016343167051672935, 0.7113742232322693, 0.26538026332855225, 0.2074694186449051, 1.1932185888290405, 0.8830888867378235, -0.12582825124263763, -0.7262657880783081, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.091133251786232, -0.12121223658323288, 0.26165542006492615, -0.06753957271575928, 0.7321318984031677, 0.26207101345062256, 0.2105245739221573, 1.2075108289718628, 0.9449678063392639, -0.12828247249126434, -0.6633854508399963, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.16604694724082947, -0.2299627661705017, 0.16706766188144684, -0.05983751639723778, 0.7884587645530701, 0.3074926435947418, 0.24997608363628387, 1.2520983219146729, 0.9691030979156494, -0.12244970351457596, -0.820614755153656, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.13626863062381744, -0.23478937149047852, 0.13608558475971222, -0.09309374541044235, 0.7908521890640259, 0.3101089298725128, 0.2555221617221832, 1.2262884378433228, 0.9848806858062744, -0.09655266255140305, -0.8793132901191711, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.10549885779619217, -0.11102929711341858, 0.24518166482448578, -0.04919517785310745, 0.7125644683837891, 0.25130242109298706, 0.2047586292028427, 1.2058629989624023, 0.9183061718940735, -0.1192261204123497, -0.6835509538650513, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.09944287687540054, -0.10975906252861023, 0.24335509538650513, -0.049567874521017075, 0.7206479907035828, 0.2537456750869751, 0.2025012969970703, 1.220845341682434, 0.9206398725509644, -0.11718837171792984, -0.6904916763305664, ...
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
2
Ses01M_impro01_F011
What do you expect me to do?
2
anger
0.2
5,515
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
2
4
4.5
[ { "feats": [ -0.12280935794115067, -0.1134972795844078, 0.21959638595581055, 0.018007144331932068, 0.7161744236946106, 0.3063538074493408, 0.21801896393299103, 1.1275557279586792, 0.9029763340950012, -0.16288551688194275, -0.7035478949546814, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.1795700639486313, -0.2673594653606415, 0.2957703769207001, 0.01704694889485836, 1.0016906261444092, 0.626731812953949, 0.013082869350910187, 1.5898939371109009, 0.8158514499664307, -0.13665878772735596, -0.8674531579017639, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.03479724004864693, -0.1762719601392746, 0.373661607503891, 0.14816062152385712, 0.9765074253082275, 0.6764620542526245, 0.04758189618587494, 1.483094573020935, 0.8082647323608398, -0.18853887915611267, -0.9454192519187927, 0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.08398467302322388, -0.2938232719898224, 0.3346840739250183, 0.06669662147760391, 0.9733632206916809, 0.5748620629310608, -0.007623528130352497, 1.6177465915679932, 0.8408775925636292, -0.1305227130651474, -0.7674270272254944, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.10386133939027786, -0.22122184932231903, 0.305120587348938, 0.09475743025541306, 1.0010151863098145, 0.6412585377693176, 0.019550789147615433, 1.52670156955719, 0.7989464998245239, -0.17546935379505157, -0.904431164264679, 0....
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.1642099916934967, -0.2868029773235321, 0.3046465814113617, 0.021852625533938408, 0.9841198921203613, 0.5902442336082458, 0.007405674085021019, 1.5956645011901855, 0.8111138939857483, -0.13057509064674377, -0.8405553698539734, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.1039944589138031, -0.2650958001613617, 0.19900749623775482, 0.05677519366145134, 0.8686555027961731, 0.4500639736652374, 0.03547794744372368, 1.4964488744735718, 0.7847576141357422, 0.050997938960790634, -0.9071598052978516, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.06132371351122856, -0.2679547369480133, 0.2540178894996643, 0.027071727439761162, 0.9272297024726868, 0.5016037225723267, 0.06653184443712234, 1.5330363512039185, 0.8633310198783875, 0.09016605466604233, -0.9388808608055115, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.17787255346775055, -0.2665882110595703, 0.297343909740448, 0.017928464338183403, 1.0033124685287476, 0.6274886131286621, 0.013193662278354168, 1.5916213989257812, 0.8172879219055176, -0.13822795450687408, -0.866267204284668, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.18140478432178497, -0.2736993134021759, 0.2963468134403229, 0.016787292435765266, 1.0044759511947632, 0.6234849095344543, 0.012442897073924541, 1.5970948934555054, 0.8125345706939697, -0.13881906867027283, -0.8580198287963867, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
4
3.75
-1.25
2
Ses01M_impro01_F012
Probably.
2
anger
1.7
9,371
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
4
[ { "feats": [ 0.04918879270553589, -0.1746482402086258, 0.3094126582145691, 0.18848268687725067, 0.9068799018859863, 0.6358987092971802, 0.013703367672860622, 1.5012096166610718, 0.8145241737365723, -0.16726340353488922, -0.88176029920578, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.05650455504655838, -0.08830666542053223, 0.2038285732269287, -0.08799100667238235, 0.8939934372901917, 0.4481186270713806, 0.18052463233470917, 1.289973258972168, 0.8618090152740479, -0.11323297023773193, -1.3132436275482178, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.07212565094232559, -0.07023262232542038, 0.16800466179847717, -0.08426641672849655, 0.793195903301239, 0.44205132126808167, 0.1384107768535614, 1.1134780645370483, 0.7831733822822571, -0.09827572107315063, -1.28867506980896, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.08523940294981003, -0.08219344168901443, 0.1776522547006607, -0.10903540998697281, 0.9237826466560364, 0.4435999095439911, 0.17384877800941467, 1.338019847869873, 0.861281156539917, -0.06582395732402802, -1.236282467842102, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.050733163952827454, -0.09362359344959259, 0.17651566863059998, -0.07245413959026337, 0.846713662147522, 0.43473222851753235, 0.1551990658044815, 1.214048147201538, 0.8374283313751221, -0.12911507487297058, -1.294697642326355, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.07526835799217224, -0.09715742617845535, 0.19135023653507233, -0.1010478138923645, 0.9155030846595764, 0.4248613119125366, 0.18488937616348267, 1.3314789533615112, 0.8720936179161072, -0.07677841186523438, -1.2831517457962036, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.09922132641077042, -0.02250639908015728, 0.2851775288581848, -0.11296708136796951, 1.1238402128219604, 0.535903811454773, 0.12324757874011993, 1.400177240371704, 0.9567793011665344, -0.04785606637597084, -1.4733374118804932, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.10495437681674957, -0.12566722929477692, 0.15808525681495667, -0.13022202253341675, 1.0064103603363037, 0.4794277250766754, 0.0959661602973938, 1.3604645729064941, 0.9077847003936768, 0.045665912330150604, -1.3750934600830078, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.0564282201230526, -0.0876341313123703, 0.20309995114803314, -0.08882509171962738, 0.8936299681663513, 0.44787976145744324, 0.17986930906772614, 1.289141297340393, 0.861487090587616, -0.11294001340866089, -1.312675952911377, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.04713323339819908, -0.1057998314499855, 0.2322893589735031, -0.056713126599788666, 0.939188539981842, 0.47144263982772827, 0.19098301231861115, 1.3423521518707275, 0.8824340105056763, -0.12435118108987808, -1.3507715463638306, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1
4.5
4.5
8.75
-5
2
Ses01M_impro01_F019
Don't raise your voice with me.
2
anger
0
3,433
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
4.5
[ { "feats": [ 0.04479455575346947, -0.06613053381443024, 0.16666308045387268, -0.08328913152217865, 0.9031698703765869, 0.435737282037735, 0.12397002428770065, 1.241328239440918, 0.840374231338501, -0.11400843411684036, -1.3066439628601074, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.02556781657040119, -0.07895495742559433, 0.13097558915615082, 0.03604989871382713, 0.7749990224838257, 0.38202038407325745, 0.16905243694782257, 1.2265070676803589, 0.7783021330833435, -0.07269017398357391, -1.0062792301177979, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.03360862657427788, -0.09133290499448776, 0.11445928364992142, 0.05147267505526543, 0.7393032312393188, 0.3775026500225067, 0.18180541694164276, 1.123409628868103, 0.7150561213493347, -0.04680483788251877, -1.0277225971221924, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.01930953748524189, -0.0908941775560379, 0.1262350082397461, 0.04930176958441734, 0.7813645005226135, 0.37007519602775574, 0.16249224543571472, 1.2141733169555664, 0.7741361856460571, -0.04867285117506981, -0.9557720422744751, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.041355736553668976, -0.08973092585802078, 0.12039465457201004, 0.05125707760453224, 0.7413964867591858, 0.3825986981391907, 0.17697644233703613, 1.1610556840896606, 0.7458358407020569, -0.061566706746816635, -1.01822829246521, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.014133679680526257, -0.07511059194803238, 0.1392556130886078, 0.04382175952196121, 0.7845705151557922, 0.3833657503128052, 0.17069058120250702, 1.2249377965927124, 0.7797093987464905, -0.059252019971609116, -0.996590256690979, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.06434448808431625, -0.1399543434381485, 0.1191081777215004, 0.03233591467142105, 0.840591311454773, 0.3859587013721466, 0.15931089222431183, 1.2503600120544434, 0.7988914847373962, 0.04043758288025856, -1.0165092945098877, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.05168925225734711, -0.1716667264699936, 0.11535529792308807, 0.005007489118725061, 0.8715775012969971, 0.3863447606563568, 0.17043890058994293, 1.2878869771957397, 0.82170170545578, 0.07765466719865799, -1.0568639039993286, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.02553926594555378, -0.07881370186805725, 0.1308521032333374, 0.03625534847378731, 0.7745699882507324, 0.38202351331710815, 0.1690252274274826, 1.2263221740722656, 0.7784073352813721, -0.07276567816734314, -1.0063450336456299, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.01683109439909458, -0.08005818724632263, 0.1417415589094162, 0.03955591470003128, 0.7921962738037109, 0.38543635606765747, 0.1667075902223587, 1.249344825744629, 0.784942090511322, -0.06850665807723999, -1.0129863023757935, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1
4
5
7.5
-5
2
Ses01M_impro01_F020
Don't talk to me like I'm a child.
2
anger
0.075
5,419
0.382149
-0.333333
0
0.471405
0.942809
0
0
0
null
4
3
1
4
5
[ { "feats": [ 0.02728290669620037, -0.09464062750339508, 0.07984809577465057, 0.08311004191637039, 0.7201581001281738, 0.3711550235748291, 0.17208382487297058, 1.114481806755066, 0.746147871017456, -0.06516937166452408, -0.9806267619132996, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.11871548742055893, -0.16762781143188477, 0.25648051500320435, 0.025346120819449425, 0.8025356531143188, 0.3150545060634613, 0.0007000424666330218, 1.3074947595596313, 0.9558088183403015, -0.12331372499465942, -0.7002761960029602, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.130394846200943, -0.1624455451965332, 0.23853975534439087, 0.05115094780921936, 0.8139824867248535, 0.325649619102478, 0.02170613221824169, 1.2958570718765259, 0.9121881723403931, -0.14508581161499023, -0.7337220907211304, -0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.08862387388944626, -0.1952487826347351, 0.2784789204597473, 0.028506021946668625, 0.7889125347137451, 0.26968860626220703, 0.006475428119301796, 1.3021608591079712, 0.9264488816261292, -0.11276368796825409, -0.6203744411468506, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.13088193535804749, -0.16270692646503448, 0.2479226291179657, 0.05345403030514717, 0.8116308450698853, 0.32013067603111267, 0.0027696038596332073, 1.2929542064666748, 0.9451598525047302, -0.13323310017585754, -0.7198724746704102, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.10963325202465057, -0.1767922192811966, 0.2621241807937622, 0.024919891729950905, 0.798420250415802, 0.2884570360183716, 0.005965468008071184, 1.292614459991455, 0.9447709321975708, -0.12116456031799316, -0.6654738187789917, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.1014089360833168, -0.18962711095809937, 0.2075023502111435, 0.008022184483706951, 0.8068239092826843, 0.3019510805606842, 0.0460243858397007, 1.2636525630950928, 0.9192193150520325, -0.06564559042453766, -0.7099339962005615, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.07569589465856552, -0.17125459015369415, 0.20301681756973267, 0.03243331238627434, 0.7800774574279785, 0.29641616344451904, 0.023908119648694992, 1.230606198310852, 0.9236199259757996, -0.11872011423110962, -0.7234837412834167, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.11860165745019913, -0.16755811870098114, 0.2565426528453827, 0.025357471778988838, 0.802652895450592, 0.31508806347846985, 0.0006583646172657609, 1.3074547052383423, 0.9557798504829407, -0.12338607013225555, -0.7002294063568115, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.11818376183509827, -0.17302006483078003, 0.2556595802307129, 0.02469208650290966, 0.800868570804596, 0.31025779247283936, 0.004005995113402605, 1.3016736507415771, 0.9484580755233765, -0.12434335052967072, -0.7024114727973938, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1
4.5
5
8.75
-5
2
Ses01M_impro01_F021
Do you know how long I've been working here? How long have you lived in California?
2
anger
0
3,434
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
1
4.5
5
[ { "feats": [ 0.1059613823890686, -0.16365087032318115, 0.2622280716896057, 0.08665372431278229, 0.8095178008079529, 0.3178742825984955, 0.01152624562382698, 1.2732065916061401, 0.953063428401947, -0.11591445654630661, -0.699691653251648, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }