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
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.03737179934978485, -0.2793237268924713, 0.405294269323349, -0.060368213802576065, 0.8855454325675964, 0.39204171299934387, 0.04969768971204758, 1.4214993715286255, 0.8525094985961914, -0.03677285090088844, -0.7862940430641174, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.03381642699241638, -0.23180386424064636, 0.3334442377090454, 0.02005024068057537, 0.8676074743270874, 0.3874800503253937, 0.05656035616993904, 1.379848599433899, 0.8217061758041382, -0.01909506879746914, -0.8023672103881836, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.04478782042860985, -0.26406407356262207, 0.35577020049095154, -0.006362652871757746, 0.7945500016212463, 0.33822306990623474, 0.047720830887556076, 1.2873696088790894, 0.8348479866981506, -0.04333258792757988, -0.6976848840713501, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.030096737667918205, -0.25858572125434875, 0.3720805048942566, -0.036115650087594986, 0.893639087677002, 0.39295488595962524, 0.05762174353003502, 1.3989152908325195, 0.842642605304718, -0.04495532810688019, -0.8142310380935669, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.040376365184783936, -0.27238425612449646, 0.3774441182613373, -0.026325969025492668, 0.8281330466270447, 0.35500022768974304, 0.04550369828939438, 1.322234869003296, 0.8442437052726746, -0.046210870146751404, -0.7502697110176086, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.033600348979234695, -0.26212278008461, 0.2916918396949768, -0.051865123212337494, 0.9264756441116333, 0.34679096937179565, 0.0372178889811039, 1.451249599456787, 0.8760902285575867, -0.042326122522354126, -0.8747638463973999, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.04025445878505707, -0.2542722821235657, 0.25635623931884766, -0.09525150060653687, 1.1051182746887207, 0.3220287561416626, 0.022862417623400688, 1.5417271852493286, 1.0272167921066284, -0.004880019463598728, -1.1077064275741577, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.03765470162034035, -0.2776428163051605, 0.40258678793907166, -0.057875584810972214, 0.8836869597434998, 0.3906988501548767, 0.049635883420705795, 1.4186468124389648, 0.8518505096435547, -0.03708801046013832, -0.7848643660545349, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.037228625267744064, -0.27807021141052246, 0.4042671322822571, -0.059202175587415695, 0.8840875029563904, 0.39174923300743103, 0.04956727474927902, 1.4198137521743774, 0.8521115779876709, -0.036926932632923126, -0.7857048511505127, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.3333
3
2.6667
5
3.33325
2
Ses01F_impro03_F024
Well so now we're married. We have cat children.
2
happy
0.452772
9,332
0.283124
-0.333333
0
0.5
0.829156
0.707107
0
0
0
4
4
4.3333
3
2.6667
[ { "feats": [ 0.019256744533777237, -0.23659075796604156, 0.32788780331611633, 0.014074751175940037, 0.8068538904190063, 0.34693288803100586, 0.052162788808345795, 1.266413688659668, 0.7983623743057251, -0.04076500982046127, -0.7733798027038574, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.06080044060945511, -0.1641470491886139, 0.3436940908432007, -0.1177615374326706, 0.7829867005348206, 0.25919875502586365, 0.0336727611720562, 1.4469375610351562, 0.8956776261329651, -0.02100624330341816, -0.5359253883361816, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.04733763635158539, -0.1563139259815216, 0.3303969204425812, -0.1061750277876854, 0.82533198595047, 0.32337114214897156, 0.028208782896399498, 1.5296200513839722, 0.9111124277114868, -0.03351482376456261, -0.5671078562736511, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.04103308543562889, -0.15389080345630646, 0.3327457904815674, -0.09879158437252045, 0.7846323847770691, 0.26872098445892334, 0.03656657412648201, 1.4527232646942139, 0.910835325717926, -0.042585838586091995, -0.5119985342025757, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.05411239340901375, -0.1622157245874405, 0.3404524326324463, -0.12333676218986511, 0.812713623046875, 0.29148292541503906, 0.022777149453759193, 1.5062357187271118, 0.8982504606246948, -0.0422229990363121, -0.556315004825592, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.05192136764526367, -0.15626022219657898, 0.33498287200927734, -0.10843826830387115, 0.7937182188034058, 0.27273157238960266, 0.03296178579330444, 1.467758297920227, 0.9004116058349609, -0.03462442383170128, -0.5262067914009094, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.01657150313258171, -0.11885376274585724, 0.35092902183532715, -0.15749303996562958, 0.8019270896911621, 0.30781662464141846, 0.03164155036211014, 1.4234918355941772, 0.902498185634613, -0.012762568891048431, -0.654670774936676, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.026542942970991135, -0.18502618372440338, 0.3524203896522522, -0.215199276804924, 0.988126814365387, 0.3889461159706116, -0.0039000699762254953, 1.6122636795043945, 0.9391438364982605, 0.04802006110548973, -0.7633288502693176, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.06100204959511757, -0.16379551589488983, 0.343536376953125, -0.11705385893583298, 0.7828672528266907, 0.25927063822746277, 0.03389348089694977, 1.4467976093292236, 0.8957751393318176, -0.020861074328422546, -0.5360314846038818, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.060661982744932175, -0.16406044363975525, 0.34385740756988525, -0.11769198626279831, 0.7831190228462219, 0.2591383159160614, 0.033764295279979706, 1.4470174312591553, 0.8957573175430298, -0.02103935182094574, -0.5359412431716919, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.3333
3.3333
3.3333
5.83325
3.33325
2
Ses01F_impro03_F025
We renamed Brenda, Lumber Janet.
2
happy
0.152799
9,623
0.269139
-0.333333
0
0.5
0.866025
0.866025
0
0
0
4
4
4.3333
3.3333
3.3333
[ { "feats": [ 0.043022334575653076, -0.14305303990840912, 0.330658882856369, -0.09260542690753937, 0.7966587543487549, 0.2925387918949127, 0.045372575521469116, 1.428948998451233, 0.908122181892395, -0.038427188992500305, -0.6016917824745178, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.2274964153766632, -0.21027043461799622, 0.2351199835538864, -0.12820178270339966, 0.8986803293228149, 0.47223275899887085, 0.14507080614566803, 1.5328929424285889, 0.8597066402435303, 0.06721585988998413, -0.7983095049858093, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.1593504101037979, -0.1652626097202301, 0.2181394398212433, -0.06577963382005692, 0.9073535799980164, 0.4838011562824249, 0.12747372686862946, 1.5435575246810913, 0.8576980233192444, 0.050015926361083984, -0.8180632591247559, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.16249041259288788, -0.20912839472293854, 0.2379542589187622, -0.09803332388401031, 0.9003956913948059, 0.45796769857406616, 0.11630606651306152, 1.5443720817565918, 0.8613312244415283, 0.03472556918859482, -0.7174840569496155, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.2036210596561432, -0.18582378327846527, 0.22324344515800476, -0.08472935110330582, 0.906104564666748, 0.48373639583587646, 0.14082591235637665, 1.5352039337158203, 0.8533837795257568, 0.05734618008136749, -0.8256261348724365, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.20393115282058716, -0.19462046027183533, 0.2428746223449707, -0.12491653114557266, 0.9012610912322998, 0.46223610639572144, 0.13572920858860016, 1.5483981370925903, 0.8602972030639648, 0.04545876756310463, -0.7564046382904053, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.10410373657941818, -0.14994043111801147, 0.23745040595531464, -0.16726471483707428, 0.9228693842887878, 0.42130252718925476, 0.0969923809170723, 1.4716044664382935, 0.8764606714248657, -0.018402909860014915, -0.9485154151916504, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.1542372703552246, -0.23613344132900238, 0.2729818522930145, -0.2413051575422287, 1.0625064373016357, 0.4667997360229492, 0.04469883441925049, 1.6560665369033813, 0.9203141331672668, 0.0015814463840797544, -1.0289593935012817, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.22472824156284332, -0.20640984177589417, 0.2347736656665802, -0.12603621184825897, 0.8971502780914307, 0.4721178710460663, 0.14369040727615356, 1.5306869745254517, 0.8596218824386597, 0.06546755135059357, -0.7972760200500488, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.22633618116378784, -0.20841622352600098, 0.23482534289360046, -0.12724708020687103, 0.8979015350341797, 0.47225770354270935, 0.1444186568260193, 1.5317665338516235, 0.8596037030220032, 0.06641024351119995, -0.797319769859314, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
2
Ses01F_impro03_F026
She needs a new name each state that we go into. [LAUGHTER]
2
happy
0.05
9,679
0.254346
-0.333333
0
0.433013
0.707107
1.299038
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.1377381831407547, -0.17153605818748474, 0.2435179203748703, -0.08808092772960663, 0.8733466863632202, 0.4661005735397339, 0.11810929328203201, 1.4748483896255493, 0.8612757325172424, 0.025106051936745644, -0.7832441329956055, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.03952525556087494, -0.23471784591674805, 0.23480013012886047, -0.06719676405191422, 0.8351252675056458, 0.556856632232666, 0.2529243528842926, 1.579386830329895, 0.7841338515281677, -0.07429245859384537, -0.8584385514259338, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.026507653295993805, -0.18200401961803436, 0.2615346312522888, -0.03316643089056015, 0.9006367921829224, 0.6077583432197571, 0.27410995960235596, 1.7440147399902344, 0.8149585127830505, -0.05993882566690445, -0.8671908378601074, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.05426688492298126, -0.2221757024526596, 0.22187738120555878, -0.05348212644457817, 0.8202174305915833, 0.5140194296836853, 0.2586885392665863, 1.6346790790557861, 0.7932468056678772, -0.0845753625035286, -0.7628962397575378, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.03510775789618492, -0.21669724583625793, 0.23564821481704712, -0.050672028213739395, 0.8483723998069763, 0.5830718874931335, 0.27850037813186646, 1.5906872749328613, 0.7935035228729248, -0.07836639881134033, -0.8863083720207214, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.02672664076089859, -0.23058143258094788, 0.22069388628005981, -0.07440023869276047, 0.8225728273391724, 0.5312669277191162, 0.26796409487724304, 1.596591591835022, 0.7840429544448853, -0.08000486344099045, -0.804839015007019, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.013210850767791271, -0.19508366286754608, 0.19377852976322174, -0.09506068378686905, 0.8235920071601868, 0.4774206578731537, 0.1451728641986847, 1.5892665386199951, 0.8705156445503235, -0.04272623360157013, -0.8037290573120117, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.07668278366327286, -0.2979118525981903, 0.18285520374774933, -0.11508501321077347, 1.015676736831665, 0.49004146456718445, 0.14290142059326172, 1.7217756509780884, 0.941982626914978, -0.019826825708150864, -0.9778013825416565, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.03987798094749451, -0.2344464808702469, 0.234519824385643, -0.06699798256158829, 0.834707498550415, 0.5572275519371033, 0.25290751457214355, 1.5790430307388306, 0.7842470407485962, -0.07426603883504868, -0.8580708503723145, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.03930439054965973, -0.2345121055841446, 0.23455967009067535, -0.0671234056353569, 0.8350120186805725, 0.5571513772010803, 0.25319597125053406, 1.5790683031082153, 0.7844896912574768, -0.07436195760965347, -0.8580356240272522, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
2.3333
5
2.5
1
Ses01F_impro03_M007
[LAUGHTER] That's really romantic.
1
happy
0.697238
7,038
0.332821
null
null
0.433013
0.707107
0.866025
0
0
0
4
4
4
3
2.3333
[ { "feats": [ 0.02658650651574135, -0.22602614760398865, 0.2227618545293808, -0.03665938228368759, 0.8246194124221802, 0.5601509809494019, 0.23206235468387604, 1.5866318941116333, 0.8115612864494324, -0.053916629403829575, -0.8036231994628906, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.1552768349647522, -0.111714668571949, 0.2723044157028198, -0.10910939425230026, 0.8361143469810486, 0.3969050645828247, 0.17451554536819458, 1.5394701957702637, 0.860090434551239, -0.1050076112151146, -0.4430658221244812, -0....
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.10432985424995422, -0.10107958316802979, 0.28591370582580566, -0.1079348772764206, 0.9336144924163818, 0.4865177273750305, 0.1617119014263153, 1.6000170707702637, 0.933612048625946, -0.13165797293186188, -0.5016200542449951, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.08710586279630661, -0.10449055582284927, 0.30290138721466064, -0.09528838098049164, 0.979935884475708, 0.44463738799095154, 0.17697495222091675, 1.7354711294174194, 0.9584469199180603, -0.13448263704776764, -0.36361098289489746, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.13832230865955353, -0.11278774589300156, 0.29233962297439575, -0.09767456352710724, 0.8690594434738159, 0.4330938756465912, 0.18220333755016327, 1.521912932395935, 0.8913413286209106, -0.12332417070865631, -0.4929813742637634, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.12809431552886963, -0.09706256538629532, 0.2932450473308563, -0.10021817684173584, 0.9044246673583984, 0.4186931848526001, 0.18904036283493042, 1.642181634902954, 0.915111780166626, -0.12175263464450836, -0.4250853657722473, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.09220217168331146, -0.11332261562347412, 0.25089555978775024, -0.08278676867485046, 0.8619852066040039, 0.4289070963859558, 0.13060499727725983, 1.5540351867675781, 0.9522350430488586, -0.1222328320145607, -0.49448609352111816, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.06771513819694519, -0.14458464086055756, 0.24612237513065338, -0.13515926897525787, 0.8446276783943176, 0.4023721516132355, 0.12087500840425491, 1.4883503913879395, 0.9249756932258606, -0.11783278733491898, -0.5305901765823364, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.15505287051200867, -0.11165183782577515, 0.27241337299346924, -0.10905704647302628, 0.8362700939178467, 0.3969006836414337, 0.17449745535850525, 1.5396990776062012, 0.8603054285049438, -0.10495416074991226, -0.4428480565547943, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.1524554044008255, -0.11102773249149323, 0.2711281478404999, -0.10813780128955841, 0.8341809511184692, 0.3940301537513733, 0.17474687099456787, 1.5354968309402466, 0.8597795963287354, -0.10736120492219925, -0.44507676362991333, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.6667
4
3
7.5
4.16675
1
Ses01F_impro03_M013
Like you need another one of those.[LAUGHTER]
1
happy
0.05
9,680
0.253772
-0.333333
0
0.5
1.118034
0.829156
0
0
0
4
4
4.6667
4
3
[ { "feats": [ 0.11614745855331421, -0.10611417889595032, 0.2782381772994995, -0.05089907720685005, 0.8346445560455322, 0.40100303292274475, 0.16051144897937775, 1.4896817207336426, 0.8818330764770508, -0.11029162257909775, -0.46334442496299744, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
0
0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
2.6667
[ { "feats": [ 0.03235534951090813, -0.19614171981811523, 0.3294053375720978, -0.1951483190059662, 0.8375440835952759, 0.46718230843544006, 0.1414240449666977, 1.4429508447647095, 0.9647765159606934, -0.07853159308433533, -0.7090008854866028, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
0
0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
2.6667
[ { "feats": [ 0.07860973477363586, -0.22565165162086487, 0.3147931396961212, -0.17047613859176636, 0.8313786387443542, 0.5053754448890686, 0.13997209072113037, 1.4313713312149048, 0.911594033241272, -0.08100251108407974, -0.738680362701416, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
0
0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
2.6667
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speed_1.1
speed_perturbation
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1
4.3333
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Ses01F_impro03_M014
Is that your phone?
1
happy
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0.5
0
0
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speed_0.95
speed_perturbation
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1
4.3333
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1
Ses01F_impro03_M014
Is that your phone?
1
happy
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0.5
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0.5
0
0
0
4
4
4.3333
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speed_1.05
speed_perturbation
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1
4.3333
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1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
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0.5
0.5
0
0
0
4
4
4.3333
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light_noise
gaussian_noise
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1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
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0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
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medium_noise
gaussian_noise
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1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
0
0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
2.6667
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volume_down
volume_scale
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1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
0
0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
2.6667
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volume_up
volume_scale
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1
4.3333
3.6667
2.6667
6.66675
3.33325
1
Ses01F_impro03_M014
Is that your phone?
1
happy
0.186099
7,517
0.321429
-0.333333
0
0.5
0.5
0.5
0
0
0
4
4
4.3333
3.6667
2.6667
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low_pass
low_pass_filter
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
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baseline
baseline
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
[ { "feats": [ -0.008260627277195454, -0.13280685245990753, 0.22110958397388458, -0.23258037865161896, 1.0675699710845947, 0.509703516960144, 0.25025346875190735, 1.8505499362945557, 0.9617992639541626, -0.002975416136905551, -0.8694498538970947, ...
speed_0.9
speed_perturbation
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.10777244716882706, -0.0359320342540741, 0.20191410183906555, -0.18462906777858734, 1.0827226638793945, 0.4186611473560333, 0.13773147761821747, 1.942101001739502, 1.03693425655365, -0.08878421783447266, -0.7277236580848694, -...
speed_1.1
speed_perturbation
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
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speed_0.95
speed_perturbation
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.1447754055261612, -0.1531815528869629, 0.17491936683654785, -0.27475595474243164, 1.0157051086425781, 0.43516647815704346, 0.24128849804401398, 1.802104115486145, 0.9508187174797058, -0.02667911909520626, -0.8100134134292603, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
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light_noise
gaussian_noise
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
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medium_noise
gaussian_noise
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
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volume_down
volume_scale
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
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volume_up
volume_scale
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1
4
3
2.6667
5
2.5
1
Ses01F_impro03_M015
He loves you.
1
happy
0.563878
6,769
0.337734
-0.333333
0
0
0.829156
1.118034
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.1762586236000061, -0.17233076691627502, 0.10956978797912598, -0.15541689097881317, 0.9668518304824829, 0.4366801679134369, 0.19753821194171906, 1.6903139352798462, 0.9108141660690308, -0.00940211396664381, -0.860518753528595, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
[ { "feats": [ -0.0014439112273976207, -0.06977254152297974, 0.2910146415233612, -0.05820439010858536, 1.024989128112793, 0.6013891100883484, 0.22462531924247742, 1.886875867843628, 0.9690321087837219, -0.0510544516146183, -0.8663052916526794, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
4
4
4.6667
4.3333
3.6667
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volume_up
volume_scale
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1
4.6667
4.3333
3.6667
8.33325
4.16675
1
Ses01F_impro03_M023
[LAUGHTER] Cat babies.
1
happy
0
8,862
0.287413
null
null
0.433013
1
1.118034
0
0
0
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4
4.6667
4.3333
3.6667
[ { "feats": [ -0.028524544090032578, -0.096806600689888, 0.2870999574661255, -0.044335804879665375, 1.0496879816055298, 0.6093071103096008, 0.17950381338596344, 1.8469620943069458, 1.0148686170578003, -0.0543639101088047, -0.8772464990615845, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.1955685317516327, -0.3217640221118927, 0.17587502300739288, -0.10876353830099106, 1.037718653678894, 0.45942264795303345, 0.09920212626457214, 1.9648553133010864, 1.1537551879882812, 0.08332885801792145, -0.3988920748233795, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.062204767018556595, -0.16921073198318481, 0.14422321319580078, -0.0904623493552208, 0.9498209357261658, 0.5310323238372803, 0.1815696805715561, 1.9122164249420166, 1.0886563062667847, -0.019178811460733414, -0.46861737966537476, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.15844020247459412, -0.35646581649780273, 0.1521947830915451, -0.09746349602937698, 1.017996072769165, 0.46039801836013794, 0.12309751659631729, 1.9547348022460938, 1.1899499893188477, 0.004495871253311634, -0.34310975670814514, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.1398715376853943, -0.2432555854320526, 0.17644697427749634, -0.11722853779792786, 0.9762991070747375, 0.4803549647331238, 0.12168437987565994, 1.877912998199463, 1.1071696281433105, 0.06458448618650436, -0.4692678451538086, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.2215920090675354, -0.33813002705574036, 0.12365946173667908, -0.11349815130233765, 1.056362509727478, 0.45482826232910156, 0.09601737558841705, 1.9637665748596191, 1.1645479202270508, 0.07262473553419113, -0.40075740218162537, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.08046505600214005, -0.2454686015844345, 0.05638372525572777, -0.08567354828119278, 0.9840275049209595, 0.3740769326686859, 0.0633721724152565, 1.8539148569107056, 1.0696520805358887, 0.02901412732899189, -0.5737473964691162, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.03855631500482559, -0.3163013160228729, 0.04132198914885521, -0.009859764017164707, 1.218429446220398, 0.32373276352882385, 0.015823576599359512, 1.861954927444458, 1.2302112579345703, 0.07307218015193939, -0.7959561944007874, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.1954468935728073, -0.3213881254196167, 0.1751541942358017, -0.10820383578538895, 1.037395715713501, 0.4595796465873718, 0.09943150728940964, 1.96669340133667, 1.1534544229507446, 0.08307571709156036, -0.3986441493034363, -0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.19468523561954498, -0.32163068652153015, 0.17629826068878174, -0.10840073227882385, 1.0376310348510742, 0.459791362285614, 0.09913939982652664, 1.965187668800354, 1.1539735794067383, 0.08291176706552505, -0.3983626067638397, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M001
Can I help you?
1
happy
1.25
5,066
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.11341638118028641, -0.23368333280086517, 0.24127064645290375, -0.11045463383197784, 1.0328603982925415, 0.45878010988235474, 0.1485271006822586, 1.911636233329773, 1.1280120611190796, -0.052442390471696854, -0.4032217264175415, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.0909958928823471, -0.3985137343406677, 0.18299905955791473, -0.1323167085647583, 1.2050927877426147, 0.35090771317481995, 0.057486794888973236, 1.7386711835861206, 1.105753779411316, -0.04678185284137726, -0.7434697151184082, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.08615633845329285, -0.34321144223213196, 0.14507748186588287, -0.18669870495796204, 1.1789112091064453, 0.43781816959381104, 0.15827159583568573, 1.8399566411972046, 0.9462653994560242, 0.0030260104686021805, -0.6850020885467529, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.06394870579242706, -0.384270578622818, 0.15992450714111328, -0.13895520567893982, 1.186161994934082, 0.43595650792121887, 0.14281338453292847, 1.969434380531311, 1.1525229215621948, 0.05408896505832672, -0.617763102054596, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.06496942788362503, -0.3679041564464569, 0.14492611587047577, -0.1510184109210968, 1.1573091745376587, 0.369381308555603, 0.11173858493566513, 1.7766047716140747, 1.0151852369308472, -0.011381969787180424, -0.7230300307273865, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.09016401320695877, -0.436928927898407, 0.13145048916339874, -0.1944979727268219, 1.1762083768844604, 0.3758341670036316, 0.17602764070034027, 1.9478535652160645, 1.1064642667770386, 0.0326024554669857, -0.6484287977218628, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ 0.10620523244142532, -0.1588474065065384, 0.28357452154159546, -0.08635398745536804, 1.2761238813400269, 0.5586034059524536, 0.1480422466993332, 1.9187357425689697, 1.2681690454483032, -0.0626114010810852, -0.8447090983390808, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ 0.17738893628120422, -0.2578338384628296, 0.2343895584344864, -0.13441389799118042, 1.3124582767486572, 0.4783923625946045, 0.11507517099380493, 1.7947405576705933, 1.266995906829834, -0.050655487924814224, -0.9551297426223755, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.09548229724168777, -0.40076377987861633, 0.17951731383800507, -0.1339763104915619, 1.208261489868164, 0.35187673568725586, 0.06584327667951584, 1.7549710273742676, 1.1020432710647583, -0.04037141054868698, -0.7355955839157104, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.09229569882154465, -0.3996719419956207, 0.18122746050357819, -0.1329580843448639, 1.205683708190918, 0.35064250230789185, 0.06036480516195297, 1.7441861629486084, 1.1044219732284546, -0.04400166496634483, -0.7419144511222839, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
2.5
2
3.75
2.5
1
Ses01F_impro05_M002
Uh huh.
1
happy
1.25
8,423
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
4
2.5
2
[ { "feats": [ -0.009552557952702045, -0.2489093393087387, 0.11530350893735886, -0.05288028344511986, 1.1212977170944214, 0.4734036922454834, 0.05782630294561386, 1.7231298685073853, 1.0130677223205566, -0.0748305469751358, -0.7805395126342773, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }