label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.0003232246672268957, -0.27821052074432373, 0.19989857077598572, -0.08766882121562958, 1.1287469863891602, 0.5622360110282898, 0.1702256202697754, 1.2831424474716187, 1.1124224662780762, -0.18494296073913574, -1.232503056526184, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.040841855108737946, -0.2700604498386383, 0.19158752262592316, -0.03376951068639755, 1.2732555866241455, 0.6149163842201233, 0.17457616329193115, 1.4713454246520996, 1.1881481409072876, -0.21821275353431702, -1.303409218788147, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.0379992239177227, -0.2996428906917572, 0.1646036058664322, -0.03128068521618843, 1.3024604320526123, 0.5442226529121399, 0.09584910422563553, 1.4851590394973755, 1.1578383445739746, -0.278690367937088, -1.1762205362319946, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.011871403083205223, -0.2769729495048523, 0.20062069594860077, -0.07698671519756317, 1.1832023859024048, 0.6141791939735413, 0.1779472529888153, 1.3665591478347778, 1.14544677734375, -0.1923026293516159, -1.2701613903045654, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.010816994123160839, -0.28909337520599365, 0.17833395302295685, -0.07756537199020386, 1.163169503211975, 0.5556606650352478, 0.1364133208990097, 1.32089102268219, 1.115639090538025, -0.20033147931098938, -1.217381477355957, 0....
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.2542214095592499, -0.39735522866249084, 0.20002730190753937, -0.19396719336509705, 1.6026395559310913, 0.4620881676673889, 0.27663660049438477, 1.567726969718933, 1.3587734699249268, 0.2903447449207306, -1.8289271593093872, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.33209091424942017, -0.3740953803062439, 0.18083485960960388, -0.22618386149406433, 1.6672723293304443, 0.5233229398727417, 0.35531505942344666, 1.6084098815917969, 1.379512071609497, 0.26192423701286316, -1.9602158069610596, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.001983274705708027, -0.2839505076408386, 0.19940461218357086, -0.084968201816082, 1.1348657608032227, 0.5622390508651733, 0.16880978643894196, 1.291591763496399, 1.1139661073684692, -0.19158518314361572, -1.228407859802246, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.002505839103832841, -0.277103066444397, 0.1992320865392685, -0.08751241862773895, 1.1309397220611572, 0.5607617497444153, 0.16973748803138733, 1.2837454080581665, 1.1133042573928833, -0.1861259788274765, -1.233776330947876, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F000
Excuse me.
2
neutral
0.175
6,688
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08361881971359253, -0.3329189419746399, 0.18777264654636383, -0.06496536731719971, 1.1481740474700928, 0.5227319002151489, 0.11406094580888748, 1.2717249393463135, 1.0537933111190796, -0.11502391844987869, -1.2411175966262817, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.02270958386361599, -0.27390825748443604, 0.2721615731716156, 0.01252055075019598, 0.9645081758499146, 0.4714927673339844, 0.15509024262428284, 1.4820773601531982, 0.9624428749084473, -0.19487915933132172, -0.8300969004631042, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.017152588814496994, -0.24501509964466095, 0.27228349447250366, 0.05053143575787544, 1.0412893295288086, 0.5522828102111816, 0.16067829728126526, 1.5006437301635742, 1.0115090608596802, -0.16495437920093536, -0.8736733794212341, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.012345753610134125, -0.2735983729362488, 0.16987261176109314, 0.06676550954580307, 0.9152444005012512, 0.4346909821033478, 0.17336858808994293, 1.4293180704116821, 0.9435584545135498, -0.206558957695961, -0.6606796383857727, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.05774765461683273, -0.2465505599975586, 0.26630720496177673, -0.00005821625018143095, 0.9908114671707153, 0.48848581314086914, 0.1248033344745636, 1.460697889328003, 0.967849612236023, -0.18376387655735016, -0.8825138807296753, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.018160812556743622, -0.2672290802001953, 0.25376057624816895, 0.02323160134255886, 0.9364747405052185, 0.4613041281700134, 0.1610148400068283, 1.4282399415969849, 0.9501243233680725, -0.2066498100757599, -0.7783526182174683, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.0488448366522789, -0.2687217593193054, 0.15651428699493408, -0.16462495923042297, 1.2704062461853027, 0.47073954343795776, 0.26365604996681213, 1.722004771232605, 1.2343782186508179, -0.12951166927814484, -1.1049675941467285, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.09321137517690659, -0.3191051483154297, 0.22132635116577148, -0.17847318947315216, 1.35191011428833, 0.5317180752754211, 0.2646891474723816, 1.716895341873169, 1.3283090591430664, -0.06084435060620308, -1.2424418926239014, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.021805059164762497, -0.27519962191581726, 0.2679826021194458, 0.018474934622645378, 0.9608958959579468, 0.47183290123939514, 0.15427619218826294, 1.4793787002563477, 0.9592376947402954, -0.1927671879529953, -0.8235300779342651, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.021486476063728333, -0.2721233665943146, 0.2697921395301819, 0.015179953537881374, 0.959759533405304, 0.4711720049381256, 0.15290960669517517, 1.47677743434906, 0.9611822962760925, -0.19422858953475952, -0.8274250626564026, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F001
Yeah.
2
neutral
0.175
5,561
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.07196983695030212, -0.2392963021993637, 0.25538456439971924, 0.1358710378408432, 0.9405450820922852, 0.5170284509658813, 0.22363777458667755, 1.3897485733032227, 0.9535667300224304, -0.2288733720779419, -0.7956616282463074, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.003505689324811101, -0.24280264973640442, 0.06755202263593674, -0.03267472982406616, 1.001935362815857, 0.543459415435791, 0.042077116668224335, 1.2287322282791138, 0.8811482191085815, -0.07830175757408142, -1.1395288705825806, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.014718740247189999, -0.30256256461143494, 0.09434179961681366, -0.013694148510694504, 1.0459550619125366, 0.5520563721656799, 0.0927635133266449, 1.2791005373001099, 0.8773799538612366, -0.022054649889469147, -1.2170028686523438, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.02450568415224552, -0.2727733552455902, 0.03372596949338913, -0.007897338829934597, 1.0424094200134277, 0.5089281797409058, 0.04708939418196678, 1.25038743019104, 0.92162024974823, -0.08740358799695969, -1.0596073865890503, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.004571191500872374, -0.2625310719013214, 0.08048738539218903, -0.007702748291194439, 1.0453646183013916, 0.5660973191261292, 0.067045196890831, 1.2665764093399048, 0.892492413520813, -0.060453664511442184, -1.1904841661453247, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.008505565114319324, -0.2484837919473648, 0.06446520984172821, -0.022810649126768112, 1.0121923685073853, 0.5352106690406799, 0.044218551367521286, 1.2278003692626953, 0.8989294171333313, -0.07551321387290955, -1.1178922653198242, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.013192424550652504, -0.16770654916763306, 0.09781130403280258, -0.17781013250350952, 1.3207718133926392, 0.593877375125885, 0.15486842393875122, 1.5017536878585815, 1.0196921825408936, 0.07578321546316147, -1.7814489603042603, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.004579497501254082, -0.1659591943025589, 0.20694537460803986, -0.205129474401474, 1.4423447847366333, 0.6354405879974365, 0.22350062429904938, 1.4869588613510132, 1.0803858041763306, 0.13410590589046478, -1.929823637008667, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.000621104845777154, -0.246590718626976, 0.06924965232610703, -0.03010546788573265, 1.0087182521820068, 0.5448948740959167, 0.042535703629255295, 1.235355019569397, 0.8856983780860901, -0.08011086285114288, -1.1367214918136597, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.0020740272011607885, -0.24381989240646362, 0.06818364560604095, -0.03160847723484039, 1.0026065111160278, 0.5431473851203918, 0.042473480105400085, 1.2271039485931396, 0.8813876509666443, -0.0783241018652916, -1.1380996704101562, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro01_F002
Is there a problem?
2
neutral
0.175
7,433
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.008793847635388374, -0.2668113708496094, 0.07313641160726547, 0.024162471294403076, 1.020102858543396, 0.5651847124099731, 0.058824021369218826, 1.241625428199768, 0.9071511626243591, -0.03821725398302078, -1.145318865776062, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ 0.028876440599560738, -0.22943735122680664, 0.23706096410751343, -0.08904503285884857, 0.8160442113876343, 0.5230540037155151, 0.1075364276766777, 1.3752564191818237, 0.8458976745605469, -0.02659788727760315, -0.926087498664856, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ -0.02158193476498127, -0.1844073086977005, 0.2346983402967453, -0.048176974058151245, 0.8802628517150879, 0.5788177847862244, 0.12101172655820847, 1.4214080572128296, 0.861990749835968, -0.05020713806152344, -0.9688420295715332, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ -0.06250371038913727, -0.23088131844997406, 0.23040731251239777, -0.0472172386944294, 0.8755176067352295, 0.5169219374656677, 0.08627523481845856, 1.433862566947937, 0.8800032734870911, -0.026832208037376404, -0.8333030939102173, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ 0.03225259110331535, -0.22383303940296173, 0.22771665453910828, -0.07103858143091202, 0.8308929204940796, 0.5399823188781738, 0.11777573823928833, 1.3771686553955078, 0.8375504612922668, -0.029657229781150818, -0.9406962990760803, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ -0.00028451511752791703, -0.22352398931980133, 0.24701085686683655, -0.08416813611984253, 0.8312973380088806, 0.5264213681221008, 0.10485560446977615, 1.372115969657898, 0.8500221371650696, -0.028029803186655045, -0.8864814043045044,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ -0.016851749271154404, -0.27576351165771484, 0.14360825717449188, -0.09343524277210236, 0.8674542903900146, 0.4589616060256958, 0.10786712914705276, 1.383413553237915, 0.8725804090499878, 0.09026996791362762, -0.9830603003501892, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ -0.005654172506183386, -0.20415490865707397, 0.13687971234321594, -0.11770908534526825, 0.9533138871192932, 0.4601031243801117, 0.10194148123264313, 1.4557462930679321, 0.9434767365455627, 0.10186188668012619, -1.0664520263671875, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ 0.027543794363737106, -0.22769083082675934, 0.23584599792957306, -0.08786045014858246, 0.8165754675865173, 0.5232548713684082, 0.10659820586442947, 1.3759162425994873, 0.8461229801177979, -0.027923516929149628, -0.9257615208625793, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ 0.028320154175162315, -0.22866655886173248, 0.23646759986877441, -0.08831904828548431, 0.8162583708763123, 0.523170530796051, 0.10727868974208832, 1.375857949256897, 0.8460171818733215, -0.02719871886074543, -0.9254657626152039, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3.5
2
6.25
-1.25
2
Ses01F_impro01_F005
Well what's the problem? Let me change it.
2
neutral
0.625
7,424
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
2
[ { "feats": [ -0.09210339188575745, -0.22033193707466125, 0.24672773480415344, -0.03851591795682907, 0.9395319819450378, 0.5920743346214294, 0.12984305620193481, 1.4406300783157349, 0.8851478695869446, -0.018261022865772247, -0.9711995124816895, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.14081552624702454, -0.24112190306186676, 0.21110939979553223, -0.022273659706115723, 0.8061984181404114, 0.3946402966976166, 0.048252642154693604, 1.4110597372055054, 0.872686505317688, 0.009382253512740135, -0.6857582926750183, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.12420646101236343, -0.17237000167369843, 0.18361350893974304, 0.019580939784646034, 0.813541054725647, 0.47758278250694275, 0.09022689610719681, 1.3547959327697754, 0.8408107161521912, -0.002450839849188924, -0.7442567348480225, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.14567232131958008, -0.25749820470809937, 0.17164289951324463, -0.01976448856294155, 0.8159223198890686, 0.38023850321769714, 0.05116835981607437, 1.4034181833267212, 0.872613787651062, 0.024980882182717323, -0.6067061424255371, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.1281646490097046, -0.22096605598926544, 0.2050950676202774, -0.008179886266589165, 0.7990235686302185, 0.4221253991127014, 0.05465150251984596, 1.3689666986465454, 0.8552880883216858, 0.007598294410854578, -0.7142250537872314, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.14174425601959229, -0.24878913164138794, 0.1945205181837082, -0.019455550238490105, 0.8114615678787231, 0.38441911339759827, 0.04359348863363266, 1.4134893417358398, 0.8794133067131042, 0.017943130806088448, -0.6500465869903564, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.04458267614245415, -0.21780849993228912, 0.09089574217796326, -0.01187898963689804, 0.8705093264579773, 0.48338454961776733, 0.06486652791500092, 1.3789032697677612, 0.9071170687675476, -0.035259950906038284, -0.8727150559425354, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.0644935891032219, -0.22668412327766418, 0.06768441200256348, 0.00556652108207345, 0.8668832778930664, 0.44224226474761963, 0.047122593969106674, 1.4079906940460205, 0.880046546459198, -0.025136088952422142, -0.8838717937469482, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.14083091914653778, -0.2417220026254654, 0.21100305020809174, -0.019599178805947304, 0.8082634210586548, 0.397588849067688, 0.04878043010830879, 1.4131618738174438, 0.8734694123268127, 0.009188954718410969, -0.685227632522583, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.14079228043556213, -0.2413339912891388, 0.2110806703567505, -0.02148793451488018, 0.8068568706512451, 0.39597833156585693, 0.048454657196998596, 1.4110711812973022, 0.8728329539299011, 0.00942669715732336, -0.6856990456581116, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01F_impro01_F014
Clearly. You know, do you have like a supervisor or something?
2
neutral
0.475
7,425
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.08049160242080688, -0.21505936980247498, 0.19029244780540466, 0.030933119356632233, 0.8002517819404602, 0.43174535036087036, 0.049554046243429184, 1.372571587562561, 0.8466011881828308, -0.004187238402664661, -0.6527825593948364, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.08335386216640472, -0.10928351432085037, 0.26188409328460693, -0.09313321858644485, 0.8740272521972656, 0.5022909641265869, 0.1996334046125412, 1.2002922296524048, 0.8903438448905945, -0.02012781985104084, -1.2553889751434326, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.05951375514268875, -0.14360792934894562, 0.2636825144290924, -0.08630981296300888, 0.9316927194595337, 0.5541345477104187, 0.22258317470550537, 1.2100751399993896, 0.8783808350563049, -0.019643021747469902, -1.3172682523727417, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.0950787141919136, -0.12767300009727478, 0.27224037051200867, -0.11736278235912323, 0.836855411529541, 0.46854615211486816, 0.1983867585659027, 1.1548224687576294, 0.8867580890655518, -0.03243247792124748, -1.1610502004623413, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.06391751021146774, -0.12166320532560349, 0.275102823972702, -0.09311042726039886, 0.8944305777549744, 0.5357652902603149, 0.22174225747585297, 1.2092750072479248, 0.8768156170845032, -0.019333235919475555, -1.2843528985977173, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.09040030092000961, -0.10892746597528458, 0.28333863615989685, -0.10542037338018417, 0.8615915775299072, 0.49496421217918396, 0.20005065202713013, 1.1974434852600098, 0.9021517038345337, -0.022940775379538536, -1.2129465341567993, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.031403396278619766, -0.18853938579559326, 0.22508609294891357, -0.17216609418392181, 1.40269935131073, 0.5431028604507446, 0.1472039818763733, 1.723418951034546, 1.1817209720611572, 0.008207390084862709, -1.7195874452590942, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.10637743771076202, -0.13151082396507263, 0.3164200782775879, -0.22049760818481445, 1.5186975002288818, 0.6100355982780457, 0.2197829782962799, 1.8609287738800049, 1.188443899154663, 0.017819026485085487, -1.9658503532409668, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.08336019515991211, -0.11094946414232254, 0.26217931509017944, -0.09285437315702438, 0.8770005106925964, 0.5028355121612549, 0.1990276724100113, 1.2033271789550781, 0.8922028541564941, -0.02012338675558567, -1.2519363164901733, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.08333244174718857, -0.10979121178388596, 0.26101791858673096, -0.09302740544080734, 0.8739181160926819, 0.500656008720398, 0.19994597136974335, 1.1989996433258057, 0.8894117474555969, -0.019710572436451912, -1.2533119916915894, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2
2
2
2.5
-2.5
2
Ses01F_impro02_F003
I guess, you know, everybody has to make sacrifices.
2
neutral
0.775
6,765
0.342865
-0.333333
0
0
0.942809
0.942809
null
0
0
4
3
2
2
2
[ { "feats": [ 0.07983089983463287, -0.13445264101028442, 0.2654266059398651, -0.07845166325569153, 0.9014080762863159, 0.5152084231376648, 0.17172497510910034, 1.2170542478561401, 0.9119282960891724, -0.006193270441144705, -1.2681500911712646, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.16748356819152832, -0.17784908413887024, 0.2292175590991974, -0.10798987746238708, 0.8901321291923523, 0.41996270418167114, 0.06666151434183121, 1.2732187509536743, 0.9330294728279114, -0.07922729104757309, -1.135545015335083, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10922649502754211, -0.15798771381378174, 0.19989028573036194, -0.09834939241409302, 0.8930571675300598, 0.430268794298172, 0.06830345839262009, 1.1999971866607666, 0.9047312140464783, -0.09246689826250076, -1.1728577613830566, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.13775569200515747, -0.2025083750486374, 0.2523186504840851, -0.11590693891048431, 0.8856971859931946, 0.39825570583343506, 0.03393201902508736, 1.28933584690094, 0.9386211633682251, -0.059947606176137924, -1.057593822479248, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.14762061834335327, -0.1675133854150772, 0.2225148230791092, -0.10540536046028137, 0.9047591686248779, 0.4351784288883209, 0.06941881030797958, 1.256457805633545, 0.9282902479171753, -0.08322132378816605, -1.1735585927963257, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.16010726988315582, -0.15899915993213654, 0.24789638817310333, -0.1165463924407959, 0.9014109969139099, 0.41245144605636597, 0.04057195037603378, 1.274901032447815, 0.9424397945404053, -0.0719994381070137, -1.1110258102416992, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.04195651039481163, -0.17331501841545105, 0.2678129971027374, -0.18331757187843323, 1.3288649320602417, 0.4882223606109619, 0.013492054305970669, 1.5850790739059448, 1.1620748043060303, -0.010974453762173653, -1.5708924531936646, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.060457248240709305, -0.13530157506465912, 0.316707968711853, -0.3167272210121155, 1.5682202577590942, 0.558410108089447, 0.0511883907020092, 1.7883234024047852, 1.3239613771438599, -0.10742014646530151, -1.790081262588501, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.16629813611507416, -0.18021652102470398, 0.2288394272327423, -0.10710981488227844, 0.888651967048645, 0.4190932512283325, 0.0644044354557991, 1.2709085941314697, 0.9324643015861511, -0.07974910736083984, -1.1301863193511963, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1659805327653885, -0.17838545143604279, 0.22776220738887787, -0.1076277419924736, 0.8871679902076721, 0.41858476400375366, 0.06539184600114822, 1.268930435180664, 0.9309318661689758, -0.07909616082906723, -1.1317951679229736, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F006
There's babies over there, though, that need mothers.
2
neutral
0.175
7,072
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.13066330552101135, -0.1465223878622055, 0.22668501734733582, -0.09926699846982956, 0.9069833755493164, 0.4276423454284668, -0.007622982375323772, 1.2332528829574585, 0.9515622854232788, -0.08209650963544846, -1.1790775060653687, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.09358524531126022, -0.1839197427034378, 0.2686092257499695, -0.116048164665699, 0.9922469258308411, 0.44802621006965637, 0.043752219527959824, 1.2080477476119995, 1.147661805152893, -0.13308636844158173, -1.190131425857544, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.10972744226455688, -0.2672698199748993, 0.2549593150615692, -0.13456502556800842, 1.103167176246643, 0.4587123692035675, 0.09035872668027878, 1.2948589324951172, 1.0925090312957764, -0.14648792147636414, -1.2625316381454468, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ -0.0036197190638631582, -0.147134467959404, 0.26386451721191406, -0.10590299218893051, 1.0167449712753296, 0.4372293949127197, 0.014287624508142471, 1.2301996946334839, 1.158713459968567, -0.15205088257789612, -1.0912295579910278, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.139560729265213, -0.25986143946647644, 0.27379173040390015, -0.13382737338542938, 1.0593622922897339, 0.4529353678226471, 0.06427978724241257, 1.2653734683990479, 1.1211074590682983, -0.102726049721241, -1.2368251085281372, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.07396918535232544, -0.16875484585762024, 0.2849140465259552, -0.11446426808834076, 1.0049550533294678, 0.44342803955078125, 0.03254993259906769, 1.216726303100586, 1.1428996324539185, -0.12446053326129913, -1.1348258256912231, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.2922762930393219, -0.3032093942165375, 0.404853492975235, -0.19866512715816498, 1.488148808479309, 0.41612404584884644, 0.2218511402606964, 1.4860608577728271, 1.399233102798462, 0.01518817525357008, -1.682350754737854, -0.18...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.42138537764549255, -0.23256872594356537, 0.285234272480011, -0.27300700545310974, 1.666929841041565, 0.6633744835853577, 0.37758368253707886, 1.8354887962341309, 1.4144366979599, -0.005787786096334457, -1.7961819171905518, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.09430176019668579, -0.19783525168895721, 0.2709406614303589, -0.11786036193370819, 1.0019140243530273, 0.45003265142440796, 0.040124401450157166, 1.2156347036361694, 1.149845838546753, -0.14193575084209442, -1.1876637935638428, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.08564471453428268, -0.18033647537231445, 0.26872697472572327, -0.11460636556148529, 0.9954943060874939, 0.44508397579193115, 0.04195478931069374, 1.2106486558914185, 1.150294542312622, -0.13435153663158417, -1.1895928382873535, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2
1
2.5
0
-2.5
2
Ses01F_impro02_F016
I have to find sitters.
2
neutral
1.225
5,116
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
2
1
2.5
[ { "feats": [ 0.12256740778684616, -0.2500460743904114, 0.2502381503582001, -0.11483226716518402, 1.032344102859497, 0.43528008460998535, 0.05413971468806267, 1.2224286794662476, 1.0957001447677612, -0.07293830811977386, -1.2094379663467407, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11596842855215073, -0.17922914028167725, 0.1709330528974533, -0.12093424797058105, 1.1889210939407349, 0.6257137656211853, 0.1524079293012619, 1.4274479150772095, 0.9871954917907715, -0.06578505784273148, -1.2900944948196411, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08021079003810883, -0.24829943478107452, 0.1501842886209488, -0.090906523168087, 1.2054194211959839, 0.6535202264785767, 0.15640945732593536, 1.4421840906143188, 0.965300440788269, -0.08595778793096542, -1.3178578615188599, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08676581084728241, -0.15960067510604858, 0.14712288975715637, -0.1181747168302536, 1.088352084159851, 0.5383578538894653, 0.11354340612888336, 1.3174717426300049, 0.9443159103393555, -0.04341861605644226, -1.1768841743469238, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.0950218215584755, -0.16651323437690735, 0.1938765048980713, -0.10727240890264511, 1.2341597080230713, 0.6553793549537659, 0.1468229442834854, 1.4447779655456543, 1.0056788921356201, -0.07809610664844513, -1.3706263303756714, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11770321428775787, -0.16152793169021606, 0.18422505259513855, -0.12712791562080383, 1.142775058746338, 0.6046654582023621, 0.12601259350776672, 1.3849297761917114, 0.971455991268158, -0.0550859160721302, -1.2295050621032715, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.2011115550994873, -0.047914210706949234, 0.1685464233160019, -0.17082737386226654, 1.8779616355895996, 0.7122935652732849, 0.2199990600347519, 1.7793285846710205, 1.3699787855148315, -0.04817596822977066, -2.0422239303588867, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.3266601860523224, -0.06751580536365509, 0.1703849732875824, -0.2677038013935089, 2.1662421226501465, 0.7912113070487976, 0.29390573501586914, 2.0452635288238525, 1.4661108255386353, 0.05005476251244545, -2.1957147121429443, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11520826071500778, -0.1853262037038803, 0.16691435873508453, -0.1185978353023529, 1.1880559921264648, 0.6234173774719238, 0.15295474231243134, 1.4296793937683105, 0.9863077402114868, -0.06815267354249954, -1.2790944576263428, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11332166939973831, -0.1829032450914383, 0.16857117414474487, -0.12012585997581482, 1.1846966743469238, 0.6227107048034668, 0.15050281584262848, 1.4220728874206543, 0.9851477742195129, -0.06502564996480942, -1.2845616340637207, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro02_F018
And your mother is close by.
2
neutral
0.175
8,565
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1047501489520073, -0.22778576612472534, 0.13220413029193878, -0.03756766393780708, 1.2105967998504639, 0.6309964060783386, 0.0788763090968132, 1.4892005920410156, 0.9848673939704895, -0.05616326257586479, -1.263715147972107, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.07490478456020355, -0.3583473563194275, 0.15610741078853607, -0.0037143442314118147, 0.9952476620674133, 0.3310825526714325, 0.06011452525854111, 1.4157516956329346, 0.9901471138000488, -0.19501318037509918, -0.5937878489494324, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.09127746522426605, -0.2275354266166687, 0.17785197496414185, -0.005932518746703863, 0.9115346670150757, 0.34616729617118835, 0.1293492466211319, 1.3397914171218872, 0.9041070342063904, -0.14546427130699158, -0.6819180250167847, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.0515061616897583, -0.4237695336341858, 0.1437874138355255, 0.020069126039743423, 1.0339715480804443, 0.331964910030365, 0.06342294067144394, 1.5005085468292236, 0.9906721711158752, -0.13769815862178802, -0.5582066178321838, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.08242563158273697, -0.3098548352718353, 0.1611197590827942, 0.0009750347817316651, 0.9890068769454956, 0.32609233260154724, 0.11341550201177597, 1.4116261005401611, 0.9706836938858032, -0.16286444664001465, -0.6572763323783875, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.06903784722089767, -0.39861971139907837, 0.1519290953874588, -0.006317869294434786, 1.0025982856750488, 0.32010388374328613, 0.06919793039560318, 1.4334882497787476, 0.966364324092865, -0.150546595454216, -0.536363422870636, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ 0.27290475368499756, -0.3607141673564911, 0.20724545419216156, -0.18780949711799622, 1.3493157625198364, 0.44996193051338196, 0.17073765397071838, 1.7531589269638062, 1.1375490427017212, -0.010010884143412113, -0.8890933990478516, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ 0.27187445759773254, -0.3374128043651581, 0.21938328444957733, -0.31966933608055115, 1.4501409530639648, 0.5190105438232422, 0.13272133469581604, 1.8232905864715576, 1.2412796020507812, 0.11021590977907181, -1.1662225723266602, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.0745098739862442, -0.35804927349090576, 0.15400069952011108, -0.0030292964074760675, 0.9913709759712219, 0.32902058959007263, 0.06294815987348557, 1.4116806983947754, 0.9904398918151855, -0.19612179696559906, -0.5906698703765869, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.07559950649738312, -0.35792139172554016, 0.1542949676513672, -0.0030698103364557028, 0.9940893054008484, 0.3317797780036926, 0.05987302586436272, 1.4131020307540894, 0.9883530139923096, -0.19363269209861755, -0.5944933891296387, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
1.5
5
0
1
Ses01F_impro02_M015
I know.
1
neutral
0.525
8,605
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
3
3
1.5
[ { "feats": [ -0.0781727209687233, -0.24514980614185333, 0.12492814660072327, 0.07279244810342789, 0.8709371089935303, 0.31942111253738403, 0.12271004915237427, 1.2041451930999756, 0.9542254209518433, -0.1400090456008911, -0.691936194896698, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }