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
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.14677394926548004, -0.13132233917713165, 0.28203722834587097, -0.08902153372764587, 0.7924812436103821, 0.35025134682655334, 0.13619431853294373, 1.231873631477356, 0.8552840352058411, -0.06911735236644745, -0.6961178779602051, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.12491718679666519, -0.1115248054265976, 0.29525110125541687, -0.06546371430158615, 0.8084461092948914, 0.39223939180374146, 0.15046247839927673, 1.210443139076233, 0.8597111701965332, -0.07248475402593613, -0.7306569218635559, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.13092660903930664, -0.1207457184791565, 0.270456999540329, -0.06220224127173424, 0.7751237154006958, 0.3088178336620331, 0.1111643984913826, 1.219472885131836, 0.85830157995224, -0.06297191232442856, -0.6232044696807861, 0.00...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.13520005345344543, -0.11756231635808945, 0.28890782594680786, -0.07339742034673691, 0.8121770620346069, 0.37695133686065674, 0.14100058376789093, 1.2313746213912964, 0.8638142943382263, -0.06983939558267593, -0.7205387353897095, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.1360030472278595, -0.1359478086233139, 0.2832181453704834, -0.07377363741397858, 0.7848631739616394, 0.32585790753364563, 0.12480193376541138, 1.2250728607177734, 0.8582946062088013, -0.06793219596147537, -0.6539175510406494, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.10504191368818283, -0.16511866450309753, 0.216760516166687, -0.054440051317214966, 0.8204159736633301, 0.3034855127334595, 0.11156483739614487, 1.1464898586273193, 0.8555845618247986, -0.05587363243103027, -0.8321665525436401, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.10812810808420181, -0.1925867646932602, 0.22601021826267242, -0.053026530891656876, 0.9336979389190674, 0.32887014746665955, 0.08103273063898087, 1.2672957181930542, 0.9192565083503723, -0.07962699234485626, -0.9047937989234924, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.14480140805244446, -0.12989693880081177, 0.28308916091918945, -0.08766067028045654, 0.7933943867683411, 0.35020339488983154, 0.1360628604888916, 1.2323634624481201, 0.8555319905281067, -0.06885965168476105, -0.6930608153343201, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.1462005227804184, -0.1310172826051712, 0.28229445219039917, -0.08848214894533157, 0.7929146885871887, 0.35022711753845215, 0.1361309289932251, 1.2319663763046265, 0.8552893996238708, -0.06902046501636505, -0.6948997378349304, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
3
3.5
5
-3.75
2
Ses01F_impro04_F031
Oh. I'm saving the environment. I'm riding this car because I- I want to.
2
anger
0.725
7,394
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.11475157737731934, -0.11992744356393814, 0.2761566936969757, -0.03929890692234039, 0.7996827363967896, 0.34866294264793396, 0.11864405125379562, 1.1979312896728516, 0.8486264944076538, -0.07196899503469467, -0.6928072571754456, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ -0.007786042056977749, -0.2740797698497772, 0.25027698278427124, -0.18484684824943542, 0.9520958662033081, 0.425592303276062, 0.1548776924610138, 1.5421863794326782, 0.8882715106010437, -0.08305026590824127, -0.5841593146324158, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ 0.04871733486652374, -0.198196142911911, 0.18638864159584045, -0.1317906528711319, 0.9038240313529968, 0.4593392312526703, 0.138364776968956, 1.4111320972442627, 0.8558517694473267, -0.08498286455869675, -0.6790308952331543, 0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ -0.02566416934132576, -0.30090683698654175, 0.2058575451374054, -0.17055577039718628, 0.9144595265388489, 0.3732083737850189, 0.15323881804943085, 1.5034605264663696, 0.8794503211975098, -0.04554468020796776, -0.5387365818023682, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ 0.01991637982428074, -0.24896541237831116, 0.2216724306344986, -0.17279048264026642, 0.9309199452400208, 0.43819722533226013, 0.1408662050962448, 1.4611659049987793, 0.8720179200172424, -0.08525166660547256, -0.6258314847946167, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ -0.024540331214666367, -0.3037659525871277, 0.21998155117034912, -0.16423024237155914, 0.9270174503326416, 0.38938450813293457, 0.13185454905033112, 1.5196067094802856, 0.8765130043029785, -0.07016779482364655, -0.54552161693573, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ 0.10839900374412537, -0.31498873233795166, 0.22760742902755737, -0.20356446504592896, 1.0585168600082397, 0.4184916615486145, 0.08838662505149841, 1.5906119346618652, 0.9747548699378967, -0.09548559784889221, -0.7473219037055969, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ 0.27459317445755005, -0.32102304697036743, 0.38987430930137634, -0.19187194108963013, 1.3326613903045654, 0.4581388235092163, 0.12180423736572266, 1.8700283765792847, 1.220720887184143, -0.0880177840590477, -0.9091201424598694, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ -0.007300185039639473, -0.27248334884643555, 0.2509656548500061, -0.18049518764019012, 0.9511808753013611, 0.42657777667045593, 0.15490791201591492, 1.5395580530166626, 0.8887096047401428, -0.08149110525846481, -0.5845112800598145, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ -0.0080577302724123, -0.273444801568985, 0.24990680813789368, -0.1836046427488327, 0.9521445035934448, 0.42610272765159607, 0.15512628853321075, 1.5419126749038696, 0.8886739611625671, -0.08192446827888489, -0.5847696661949158, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
3.5
3.5
6.25
-2.5
2
Ses01F_impro04_F032
The bus, I'm riding the bus because I want to.
2
anger
0.475
7,395
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2
3.5
3.5
[ { "feats": [ 0.015589510090649128, -0.22709883749485016, 0.19228632748126984, -0.13430863618850708, 0.8842907547950745, 0.41268137097358704, 0.12962450087070465, 1.3849234580993652, 0.8632993698120117, -0.07308516651391983, -0.6217644214630127, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.0788281038403511, -0.3189154863357544, 0.28760695457458496, -0.08900514990091324, 0.7592453360557556, 0.36269664764404297, 0.13580666482448578, 1.4387093782424927, 0.8121296167373657, -0.04379565641283989, -0.7212271094322205, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.0636996403336525, -0.2668628692626953, 0.2705122232437134, -0.0365242138504982, 0.7579910159111023, 0.4283924400806427, 0.14843468368053436, 1.3797951936721802, 0.8019083142280579, -0.03276914358139038, -0.787222683429718, -0...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.069495789706707, -0.2729153037071228, 0.2595185339450836, -0.05845144763588905, 0.719451904296875, 0.3086303770542145, 0.09924393892288208, 1.416159749031067, 0.7971844673156738, -0.08365478366613388, -0.6333808302879333, -0....
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.07118021696805954, -0.3134535849094391, 0.28273653984069824, -0.06482305377721786, 0.7622506618499756, 0.3917405903339386, 0.14949534833431244, 1.4052013158798218, 0.8054777383804321, -0.028690576553344727, -0.7564036250114441, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.07191842794418335, -0.3120698630809784, 0.2771795392036438, -0.08491694182157516, 0.7423418760299683, 0.34443795680999756, 0.12285079061985016, 1.4065461158752441, 0.8064238429069519, -0.045886773616075516, -0.6888330578804016, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.008495545946061611, -0.29971086978912354, 0.2432646006345749, -0.02797892317175865, 0.9151520133018494, 0.41661718487739563, 0.09582570195198059, 1.5596147775650024, 0.9211717247962952, -0.05429898947477341, -1.0280030965805054, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.08339906483888626, -0.296556681394577, 0.2735174894332886, -0.08559217303991318, 1.1183955669403076, 0.4696911871433258, 0.07041911035776138, 1.8050867319107056, 1.0233763456344604, -0.039551958441734314, -1.1863454580307007, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.07768799364566803, -0.31479930877685547, 0.2858697772026062, -0.08622605353593826, 0.7558242082595825, 0.3619574010372162, 0.13537605106830597, 1.4346550703048706, 0.8115427494049072, -0.046573981642723083, -0.71845942735672, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.0783645361661911, -0.3168548047542572, 0.28656890988349915, -0.08762014657258987, 0.7577493786811829, 0.36252108216285706, 0.1354297548532486, 1.4364049434661865, 0.8116666674613953, -0.044873397797346115, -0.720547616481781, ...
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
Ses01F_impro04_F033
I can not-- you are not here by choice. Nobody would ride this bus by choice.
2
anger
0.3
8,266
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.007083565462380648, -0.21095123887062073, 0.2951405942440033, -0.02877294272184372, 0.7622208595275879, 0.3889816105365753, 0.1098392978310585, 1.3792325258255005, 0.8182761669158936, -0.07556343078613281, -0.7393681406974792, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04216666519641876, -0.2917037308216095, 0.29007625579833984, -0.19529002904891968, 0.7006022930145264, 0.2690156400203705, -0.001926723518408835, 1.1431396007537842, 0.7657334804534912, 0.06478995084762573, -0.8582638502120972, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.00044401714694686234, -0.19816084206104279, 0.24924251437187195, -0.12473097443580627, 0.664243757724762, 0.2668958306312561, -0.014470155350863934, 1.0352107286453247, 0.6939405798912048, 0.03140052407979965, -0.873191237449646, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.034004323184490204, -0.1783551424741745, 0.3274467885494232, -0.1022818461060524, 0.6893467307090759, 0.2125796675682068, -0.06956750899553299, 1.102195143699646, 0.8138105273246765, 0.02826566807925701, -0.7658784985542297, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.0363154336810112, -0.27237629890441895, 0.2848447263240814, -0.18236911296844482, 0.7059968709945679, 0.2737377882003784, -0.010023168288171291, 1.1220320463180542, 0.7388951182365417, 0.07836291193962097, -0.8853996396064758, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04595419391989708, -0.26307448744773865, 0.29180046916007996, -0.1660146266222, 0.6720017194747925, 0.25461241602897644, -0.03014560043811798, 1.0864596366882324, 0.7798240780830383, 0.05515707656741142, -0.8016588091850281, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.15787406265735626, -0.22575053572654724, 0.18933212757110596, -0.23169805109500885, 0.8716428279876709, 0.3047628402709961, -0.021145803853869438, 1.172297716140747, 0.8971372246742249, 0.04526598006486893, -1.1222617626190186, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.03192141279578209, -0.2893048822879791, 0.22790172696113586, -0.14341981709003448, 1.0734773874282837, 0.36455923318862915, 0.017151109874248505, 1.3611985445022583, 0.9739298224449158, 0.11705530434846878, -1.2814263105392456, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.040579378604888916, -0.28663375973701477, 0.287276029586792, -0.19084297120571136, 0.6957350373268127, 0.2668508291244507, -0.004850754514336586, 1.1343817710876465, 0.7632976770401001, 0.06229626387357712, -0.8522301316261292, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04129381105303764, -0.29013198614120483, 0.28870221972465515, -0.19300119578838348, 0.6990629434585571, 0.2682466208934784, -0.0028449969831854105, 1.1395070552825928, 0.7649009227752686, 0.0640193372964859, -0.8558515906333923, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F008
Flight seven fourteen.
2
anger
1.75
7,398
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.039605651050806046, -0.15115876495838165, 0.26314854621887207, -0.07334104925394058, 0.6672669053077698, 0.2610776722431183, -0.09741296619176865, 1.0192043781280518, 0.7470309734344482, -0.00477408803999424, -0.836158812046051, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.1741068959236145, -0.14923956990242004, 0.23082764446735382, -0.08425804227590561, 0.8275914788246155, 0.363583505153656, 0.03627649322152138, 1.3248059749603271, 0.8130287528038025, -0.04205014556646347, -0.8384584188461304, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.1253352016210556, -0.08644971251487732, 0.2261228710412979, -0.0332861989736557, 0.8380503058433533, 0.4070514738559723, 0.0414753295481205, 1.313697099685669, 0.8064794540405273, -0.06269219517707825, -0.9004740715026855, -0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.1431831270456314, -0.11061543226242065, 0.2322469800710678, -0.06203506141901016, 0.8129681348800659, 0.3325987458229065, 0.006557658314704895, 1.324204444885254, 0.8204107880592346, -0.03850072622299194, -0.7774705290794373, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.16522948443889618, -0.14336153864860535, 0.2213306427001953, -0.05960175767540932, 0.8488073348999023, 0.3871299922466278, 0.05153316259384155, 1.3217757940292358, 0.8074009418487549, -0.04218779876828194, -0.885269820690155, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.16222180426120758, -0.13611699640750885, 0.23362094163894653, -0.08128920197486877, 0.8163750171661377, 0.3414812982082367, 0.022317321971058846, 1.3125638961791992, 0.8103207945823669, -0.04531873017549515, -0.8027694821357727, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.08557908236980438, -0.12283532321453094, 0.23798660933971405, -0.10568392276763916, 0.9285026788711548, 0.3426930904388428, -0.00006138708704384044, 1.3614764213562012, 0.8550001382827759, -0.05399451404809952, -0.938740611076355, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.10519175231456757, -0.1774885654449463, 0.21762911975383759, -0.09711999446153641, 1.0135548114776611, 0.36393654346466064, 0.038945600390434265, 1.4680075645446777, 0.892550528049469, 0.017232408747076988, -1.0093878507614136, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.1730162799358368, -0.14724089205265045, 0.23080942034721375, -0.08327704668045044, 0.8267135620117188, 0.3633827567100525, 0.03526952117681503, 1.3241329193115234, 0.8133551478385925, -0.04335997998714447, -0.8377249836921692, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.17376787960529327, -0.14835982024669647, 0.2306583821773529, -0.0837831050157547, 0.8270936012268066, 0.3632485568523407, 0.03575226664543152, 1.3243494033813477, 0.8131961226463318, -0.04262644052505493, -0.8380928039550781, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
2
Ses01F_impro05_F009
Am I going to be getting, like, free tickets, free mileage. When can I expect my bag here?
2
anger
1.75
8,326
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.1117415651679039, -0.08803107589483261, 0.23219034075737, -0.037016160786151886, 0.8304831981658936, 0.3601396679878235, 0.012271750718355179, 1.3049790859222412, 0.8152285218238831, -0.0736355111002922, -0.8297376036643982, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.09195427596569061, -0.36184465885162354, 0.16457399725914001, -0.22526617348194122, 1.0318999290466309, 0.28773680329322815, 0.04895229637622833, 1.4801815748214722, 0.9131795763969421, -0.008320184424519539, -0.584227442741394, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.05929473787546158, -0.2650282084941864, 0.15623776614665985, -0.13895024359226227, 1.0223945379257202, 0.3709501624107361, 0.08997263759374619, 1.5188822746276855, 0.9129045605659485, -0.04515957459807396, -0.5874872803688049, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.060639407485723495, -0.3103702962398529, 0.11925242096185684, -0.1846797615289688, 1.0054692029953003, 0.25159579515457153, 0.053351499140262604, 1.5534323453903198, 0.9322970509529114, 0.014936944469809532, -0.4295332431793213, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.09408759325742722, -0.3202838897705078, 0.15302951633930206, -0.18282736837863922, 1.0134083032608032, 0.32238489389419556, 0.07878196984529495, 1.455365777015686, 0.9078105092048645, -0.033529315143823624, -0.6023151874542236, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.07703395187854767, -0.33509525656700134, 0.14901617169380188, -0.21659573912620544, 1.020618200302124, 0.26952680945396423, 0.05885349214076996, 1.5250484943389893, 0.91849684715271, -0.009393560700118542, -0.5143328309059143, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ -0.19070030748844147, -0.22465850412845612, 0.07183339446783066, -0.19538594782352448, 1.1340363025665283, 0.34906649589538574, 0.12578415870666504, 1.5138306617736816, 1.1175161600112915, -0.059924233704805374, -0.6674860119819641, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ -0.13197186589241028, -0.28400713205337524, 0.07408734411001205, -0.2031327188014984, 1.1445972919464111, 0.3159801661968231, 0.11146644502878189, 1.5335687398910522, 1.1799931526184082, -0.08862406760454178, -0.6898051500320435, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.09086266160011292, -0.358466237783432, 0.1646195352077484, -0.22287453711032867, 1.0309704542160034, 0.2881320118904114, 0.048576660454273224, 1.4830955266952515, 0.9149419069290161, -0.0076950169168412685, -0.5806397199630737, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ 0.09146090596914291, -0.3606310784816742, 0.16473114490509033, -0.2246483564376831, 1.032114028930664, 0.28776776790618896, 0.04898044839501381, 1.481974482536316, 0.9137831330299377, -0.007690609432756901, -0.5824579000473022, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4.5
3.5
8.75
-2.5
2
Ses01F_impro05_F011
Is this a joke?
2
anger
0.175
8,440
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2
4.5
3.5
[ { "feats": [ -0.0015228161355480552, -0.2904621362686157, 0.1423703283071518, -0.06174984946846962, 1.0321829319000244, 0.3152923583984375, 0.07361429184675217, 1.50637686252594, 0.9288118481636047, -0.03724053502082825, -0.47886571288108826, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.11209867149591446, -0.2719062566757202, 0.20098106563091278, -0.10353162884712219, 0.7211458683013916, 0.3306129574775696, 0.040106602013111115, 1.2684526443481445, 0.9013093709945679, -0.10077596455812454, -0.6488069891929626, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.06960389763116837, -0.26704150438308716, 0.19995629787445068, -0.04718463495373726, 0.7376355528831482, 0.38465771079063416, 0.031089352443814278, 1.2405146360397339, 0.8881826996803284, -0.10257057100534439, -0.698244571685791, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.09237569570541382, -0.23821231722831726, 0.1933206468820572, -0.0911075547337532, 0.6947924494743347, 0.28437718749046326, 0.013094323687255383, 1.2260421514511108, 0.9054373502731323, -0.09871380031108856, -0.5934585928916931, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.08810581266880035, -0.2729572355747223, 0.20078888535499573, -0.08898448199033737, 0.7187095284461975, 0.34990400075912476, 0.03161335363984108, 1.2331644296646118, 0.8805790543556213, -0.10444939881563187, -0.6728293299674988, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.09308905154466629, -0.2605539858341217, 0.19112060964107513, -0.10394633561372757, 0.6955091953277588, 0.29860490560531616, 0.02132304571568966, 1.236867070198059, 0.8966971039772034, -0.10561059415340424, -0.6101670861244202, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.08631286770105362, -0.1944359391927719, 0.220268115401268, -0.07162073254585266, 0.727553129196167, 0.3093012571334839, -0.02047840878367424, 1.1899352073669434, 0.9380441904067993, -0.12445617467164993, -0.7448195219039917, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.11962506175041199, -0.22011986374855042, 0.2082528918981552, -0.07805155962705612, 0.7804391980171204, 0.29492655396461487, -0.046239398419857025, 1.2379372119903564, 0.9359824657440186, -0.13271620869636536, -0.7615010142326355, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.1119382381439209, -0.2698439359664917, 0.20266325771808624, -0.102569580078125, 0.7202134132385254, 0.33072078227996826, 0.038230106234550476, 1.2691270112991333, 0.9021942615509033, -0.10234308242797852, -0.6475182175636292, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.11187897622585297, -0.27098605036735535, 0.20167596638202667, -0.10315154492855072, 0.7207039594650269, 0.3306702971458435, 0.039296410977840424, 1.268711805343628, 0.9017456769943237, -0.10150017589330673, -0.6482605934143066, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
3.5
3
6.25
-1.25
2
Ses01F_impro05_F012
Are there candid cameras? Is this that movie? There's that show, right? Airplane, airline.
2
anger
1
9,599
0.269235
-0.333333
0
0.816497
0.471405
0.942809
0
0
0
4
3
2.5
3.5
3
[ { "feats": [ 0.06713294237852097, -0.24432729184627533, 0.18501974642276764, -0.04784137010574341, 0.6855510473251343, 0.3151904046535492, 0.013259952887892723, 1.1897109746932983, 0.8721392154693604, -0.11355065554380417, -0.6435151100158691, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.019611122086644173, -0.24969421327114105, 0.25412067770957947, -0.10305286943912506, 0.9847456812858582, 0.498697429895401, 0.10475427657365799, 1.7417560815811157, 0.9274555444717407, -0.04836059734225273, -0.8401179313659668, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.029224010184407234, -0.2805335819721222, 0.2432541698217392, -0.04904254898428917, 0.9739718437194824, 0.5255416035652161, 0.13857696950435638, 1.6963015794754028, 0.8820545673370361, -0.01391187310218811, -0.8915464878082275, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ -0.014762445352971554, -0.32185664772987366, 0.23761668801307678, -0.0746622309088707, 0.9750478863716125, 0.49513065814971924, 0.10287927091121674, 1.702250599861145, 0.9438590407371521, -0.09001841396093369, -0.7963775396347046, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.00816320814192295, -0.2794768214225769, 0.2641808092594147, -0.05435759201645851, 0.9789091348648071, 0.5045331120491028, 0.12471017986536026, 1.7448617219924927, 0.9013857841491699, -0.025098124518990517, -0.8524347543716431, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ -0.010418087244033813, -0.29013335704803467, 0.25789520144462585, -0.0615365132689476, 0.9856561422348022, 0.4883647561073303, 0.10606636106967926, 1.719372034072876, 0.9283257722854614, -0.08673541247844696, -0.8070114254951477, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.07393775135278702, -0.4085129201412201, 0.22085420787334442, -0.18652240931987762, 1.0213322639465332, 0.48369070887565613, 0.17230312526226044, 1.7196019887924194, 0.9536193609237671, 0.07219285517930984, -0.8197232484817505, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.10589389503002167, -0.3978434205055237, 0.18829353153705597, -0.23996947705745697, 1.094188928604126, 0.463904470205307, 0.13793933391571045, 1.76284658908844, 1.039527177810669, 0.07201992720365524, -0.8647845983505249, -0.0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
4
4
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volume_down
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3
1.5
4
4
7.5
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Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
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0.816497
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volume_up
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3
1.5
4
4
7.5
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2
Ses01F_impro05_F014
You're kidding me, this is a joke.
2
anger
0.075
8,439
0.302907
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low_pass
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3
1.5
4.5
4.5
8.75
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2
Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
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baseline
baseline
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1.5
4.5
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
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1.5
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
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1.5
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
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1.5
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
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0
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
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7,399
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3
1.5
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Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
0.327556
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3
1.5
4.5
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8.75
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2
Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
0.327556
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0
0.471405
0.471405
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0
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1.5
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volume_up
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3
1.5
4.5
4.5
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2
Ses01F_impro05_F015
Do you have any idea-- fifty dollars? That's supposed to replace everything that I have? Do you understand how much I have packed in there? Not only does it have sentimental value; it can't be replaced like that. It was incredibly expensive.
2
anger
0
7,399
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0
0.471405
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low_pass
low_pass_filter
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3
1.5
4.5
4
8.75
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
8,665
0.293884
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baseline
baseline
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3
1.5
4.5
4
8.75
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
8,665
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3
1.5
4.5
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8.75
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
8,665
0.293884
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speed_perturbation
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3
1.5
4.5
4
8.75
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
8,665
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0
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1.5
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speed_perturbation
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3
1.5
4.5
4
8.75
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2
Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
8,665
0.293884
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0.471405
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0
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speed_perturbation
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1.5
4.5
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
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1.5
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
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medium_noise
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
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volume_down
volume_scale
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3
1.5
4.5
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
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volume_up
volume_scale
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3
1.5
4.5
4
8.75
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Ses01F_impro05_F016
We flew in from Paris. I've been shopping for three weeks.
2
anger
0
8,665
0.293884
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low_pass
low_pass_filter
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