label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.07229090481996536, -0.1960945427417755, 0.17424476146697998, -0.055875152349472046, 0.6572798490524292, 0.31068509817123413, 0.07370170950889587, 1.2025811672210693, 0.7661170363426208, -0.022238533943891525, -0.7760871052742004, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.06479515880346298, -0.17703278362751007, 0.17069347202777863, -0.03171591833233833, 0.6584827899932861, 0.35610583424568176, 0.09659422934055328, 1.1535780429840088, 0.7586162686347961, -0.01863379031419754, -0.8396701216697693, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.061906687915325165, -0.2130666822195053, 0.17196893692016602, -0.04959164187312126, 0.6744612455368042, 0.2691809833049774, 0.06091571971774101, 1.249593734741211, 0.7760059833526611, -0.03088443912565708, -0.707251787185669, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.06716866791248322, -0.18538443744182587, 0.17348279058933258, -0.047373004257678986, 0.6640034317970276, 0.3357037305831909, 0.08209138363599777, 1.1712323427200317, 0.7602205276489258, -0.025324556976556778, -0.8046045899391174, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.06196441873908043, -0.20886215567588806, 0.1721070408821106, -0.05176878347992897, 0.6688451170921326, 0.28762492537498474, 0.06861188262701035, 1.232182264328003, 0.7730520367622375, -0.030526407063007355, -0.7398496270179749, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.032493725419044495, -0.20704485476016998, 0.15760362148284912, -0.06338619440793991, 0.7811108827590942, 0.3640218675136566, 0.10827203094959259, 1.2518130540847778, 0.8278515338897705, -0.045428525656461716, -0.9312087893486023, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.032970964908599854, -0.242849662899971, 0.1840590089559555, -0.07141623646020889, 0.8773313164710999, 0.36397942900657654, 0.10682599246501923, 1.4046376943588257, 0.8679017424583435, -0.03856342285871506, -0.9579965472221375, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.07200659811496735, -0.19592371582984924, 0.1741160899400711, -0.056010644882917404, 0.6572290658950806, 0.3106316924095154, 0.07374370098114014, 1.2019034624099731, 0.766328752040863, -0.021897807717323303, -0.7752889394760132, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.07205662876367569, -0.19603949785232544, 0.17410793900489807, -0.055832430720329285, 0.6571958661079407, 0.3105451762676239, 0.07374729216098785, 1.2022416591644287, 0.7662085890769958, -0.02210411988198757, -0.7756525278091431, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4
4.3333
7.5
-2.5
5
Ses03M_script02_2_M029
Do you think that this is what I had in mind? That four years down the line that we'd get married and come to the beach and argue with each other over fish? No.
5
anger
0.2
882
0.55286
-0.5
0
0
0
0.471405
null
null
0
3
3
2
4
4.3333
[ { "feats": [ 0.05221707746386528, -0.1862993985414505, 0.1704772263765335, -0.03538122773170471, 0.6681826710700989, 0.31935468316078186, 0.07925623655319214, 1.1737909317016602, 0.7710092663764954, -0.0209047831594944, -0.7796151638031006, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.12090332806110382, -0.2575443983078003, 0.2264559417963028, -0.09901450574398041, 0.7172482013702393, 0.3112798035144806, 0.0984773114323616, 1.1238411664962769, 0.7750723958015442, -0.06778886914253235, -0.825447678565979, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.09519769251346588, -0.2680876553058624, 0.2520276606082916, -0.05814595893025398, 0.7596849203109741, 0.35163575410842896, 0.10226847231388092, 1.1651992797851562, 0.7797428965568542, -0.053682103753089905, -0.874002993106842, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.11072950065135956, -0.2930741608142853, 0.22168727219104767, -0.10130272805690765, 0.7357383370399475, 0.27637457847595215, 0.07764506340026855, 1.164883017539978, 0.7676078081130981, -0.07614311575889587, -0.753751277923584, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.10320401936769485, -0.2542366683483124, 0.23437997698783875, -0.07225111126899719, 0.7245020866394043, 0.3259141147136688, 0.10239336639642715, 1.117291808128357, 0.7772365212440491, -0.0633602887392044, -0.8432068228721619, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.11308208853006363, -0.27028733491897583, 0.2219017893075943, -0.09406136721372604, 0.7296151518821716, 0.2963609993457794, 0.08586356788873672, 1.147796392440796, 0.7768886089324951, -0.07486941665410995, -0.7886766791343689, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.09895487129688263, -0.3299103379249573, 0.1953018307685852, -0.09275241941213608, 1.1060582399368286, 0.446653813123703, 0.05021417513489723, 1.4834455251693726, 0.9267637133598328, -0.1326109617948532, -1.3124059438705444, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.11452730000019073, -0.31495723128318787, 0.14223890006542206, -0.10646842420101166, 1.2524133920669556, 0.4702642858028412, 0.06186646595597267, 1.731500506401062, 0.9861025214195251, -0.09722793102264404, -1.4385355710983276, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.11889680474996567, -0.25680944323539734, 0.22560781240463257, -0.09572560340166092, 0.7194485664367676, 0.3159812390804291, 0.09744396060705185, 1.1248412132263184, 0.7773979306221008, -0.06858236342668533, -0.8268797397613525, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.12025226652622223, -0.2572975158691406, 0.22611476480960846, -0.09759052842855453, 0.7183610796928406, 0.3133130967617035, 0.09820771962404251, 1.1242557764053345, 0.7761544585227966, -0.06793306022882462, -0.8260598182678223, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.6667
3.3333
4.3333
5.83325
-3.33325
5
Ses03M_script02_2_M031
...and you know? Baby the jokes on us. Because you know what you get? Do you know what you get Carla? You get this.
5
anger
0.422251
7,067
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
1.6667
3.3333
4.3333
[ { "feats": [ 0.07141492515802383, -0.2611382007598877, 0.23486681282520294, -0.05639209970831871, 0.7587330341339111, 0.34065645933151245, 0.08803747594356537, 1.128565788269043, 0.780301034450531, -0.1028759777545929, -0.8424412608146667, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.0847921147942543, -0.29486000537872314, 0.18911631405353546, -0.1278683841228485, 0.8084025382995605, 0.421360582113266, 0.0648995116353035, 1.3734050989151, 0.8972193598747253, -0.12660716474056244, -0.856075644493103, 0.083...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
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[ { "feats": [ 0.06081743165850639, -0.2923220694065094, 0.16401349008083344, -0.09760347008705139, 0.7530673146247864, 0.4481485188007355, 0.09158836305141449, 1.3461493253707886, 0.8023931980133057, -0.14116667211055756, -0.8724727630615234, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
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[ { "feats": [ 0.00926545262336731, -0.2910153567790985, 0.1852240264415741, -0.0959644466638565, 0.838154137134552, 0.4274653196334839, 0.03886733204126358, 1.5051665306091309, 0.9386405348777771, -0.07087390869855881, -0.7221569418907166, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.09693083167076111, -0.3005916476249695, 0.18556618690490723, -0.10543026775121689, 0.7707208395004272, 0.4226508140563965, 0.08050297200679779, 1.321568250656128, 0.8422755599021912, -0.14248408377170563, -0.8840000033378601, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.07499800622463226, -0.31638938188552856, 0.18405458331108093, -0.1342216581106186, 0.8299015164375305, 0.4370260536670685, 0.046263184398412704, 1.4189587831497192, 0.9338980913162231, -0.10853630304336548, -0.802832305431366, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ -0.012375463731586933, -0.22823360562324524, 0.039798129349946976, -0.05269652232527733, 1.250390887260437, 0.5293388962745667, 0.2857622802257538, 1.8770025968551636, 1.031874656677246, -0.01841459795832634, -1.3352538347244263, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.08947671949863434, -0.25054630637168884, 0.08034936338663101, -0.12007252871990204, 1.3768343925476074, 0.6013657450675964, 0.3845953941345215, 1.8983712196350098, 1.0850837230682373, -0.05594973266124725, -1.4943550825119019, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.08453894406557083, -0.29310745000839233, 0.1883336305618286, -0.126363143324852, 0.8038076162338257, 0.42066189646720886, 0.06375616788864136, 1.3721531629562378, 0.8962521553039551, -0.1258772909641266, -0.8527618050575256, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.08404731750488281, -0.2933809757232666, 0.18793462216854095, -0.12636850774288177, 0.8047996163368225, 0.4211578965187073, 0.06345558166503906, 1.371208667755127, 0.8963033556938171, -0.12615688145160675, -0.852799654006958, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
3
4
5
-2.5
5
Ses03M_script02_2_M032
Yes it is.
5
anger
0.8
2,093
0.51835
-0.5
0
0
0
0.816497
null
null
0
3
3
2
3
4
[ { "feats": [ 0.052762724459171295, -0.26736295223236084, 0.1847270280122757, -0.0417257696390152, 0.739896297454834, 0.4295312166213989, 0.055351372808218, 1.3106917142868042, 0.8530544638633728, -0.12474550306797028, -0.8239826560020447, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.03354005143046379, -0.1816599816083908, 0.20282669365406036, -0.10116540640592575, 1.0715951919555664, 0.47749245166778564, 0.1276904195547104, 1.4475486278533936, 0.7418524622917175, -0.23796068131923676, -1.1365236043930054, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.0641891360282898, -0.2005777657032013, 0.22220921516418457, -0.11604009568691254, 1.1043453216552734, 0.5696030855178833, 0.06136363744735718, 1.4176533222198486, 0.7670686841011047, -0.19790339469909668, -1.1926133632659912, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ -0.03460720553994179, -0.1778034269809723, 0.1711689978837967, -0.07183929532766342, 1.034814715385437, 0.43323755264282227, 0.0914066955447197, 1.4319015741348267, 0.7501193284988403, -0.26249584555625916, -0.9551200866699219, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.05507468804717064, -0.1740511953830719, 0.20100921392440796, -0.10285065323114395, 1.0619605779647827, 0.5133739113807678, 0.12299142777919769, 1.397839069366455, 0.7437291145324707, -0.23332104086875916, -1.1730692386627197, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.016126973554491997, -0.16142843663692474, 0.19748933613300323, -0.08611437678337097, 1.041607141494751, 0.44966503977775574, 0.10135479271411896, 1.4285005331039429, 0.7449276447296143, -0.25217846035957336, -1.0218546390533447, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.2557695508003235, -0.10415113717317581, -0.029217597097158432, -0.26875677704811096, 1.950896143913269, 0.7257154583930969, 0.3678554594516754, 2.075228214263916, 1.2843486070632935, -0.08009514957666397, -2.0029797554016113, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.3121297061443329, -0.11389824002981186, 0.0248026791960001, -0.2960401177406311, 1.9761887788772583, 0.6687327027320862, 0.3501955270767212, 1.994073748588562, 1.3139511346817017, -0.015741681680083275, -1.979851484298706, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.023548061028122902, -0.17182502150535583, 0.20036737620830536, -0.09497734904289246, 1.0528866052627563, 0.47137153148651123, 0.11666383594274521, 1.4195241928100586, 0.7317005395889282, -0.24502356350421906, -1.1139456033706665, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.0268387570977211, -0.17730502784252167, 0.198277547955513, -0.09944053739309311, 1.0639441013336182, 0.47514185309410095, 0.12189778685569763, 1.436830759048462, 0.737602710723877, -0.23756586015224457, -1.127056360244751, 0....
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
3
3.3333
5
0
5
Ses03M_script02_2_M033
Right.
5
anger
1.888898
9,907
0.244586
-0.5
0
0.816497
0.816497
0.942809
0
0
0
3
3
3
3
3.3333
[ { "feats": [ 0.02516091987490654, -0.1647867113351822, 0.13768544793128967, -0.06134623661637306, 1.0500394105911255, 0.4490625560283661, 0.05388028919696808, 1.4092597961425781, 0.7469607591629028, -0.1916625201702118, -1.0851973295211792, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.045964762568473816, -0.2593642473220825, 0.16706334054470062, -0.04104651138186455, 0.948455810546875, 0.46820852160453796, 0.06916814297437668, 1.5181442499160767, 0.8951594233512878, 0.09452522546052933, -0.8737658262252808, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.007029032800346613, -0.17634129524230957, 0.08617781102657318, 0.028990482911467552, 0.8667818307876587, 0.4695894420146942, 0.09419604390859604, 1.3802790641784668, 0.8500385880470276, 0.09206776320934296, -0.9262944459915161, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ -0.02793027274310589, -0.2079281508922577, 0.12538690865039825, 0.0010929320706054568, 0.8973174691200256, 0.43878796696662903, 0.06396356225013733, 1.4049098491668701, 0.8526036143302917, 0.10265229642391205, -0.8418779373168945, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.034650444984436035, -0.23574836552143097, 0.13082994520664215, -0.022682860493659973, 0.9104716777801514, 0.4739687740802765, 0.0873478502035141, 1.445596694946289, 0.8808507323265076, 0.09886053949594498, -0.9013089537620544, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.015865540131926537, -0.23514144122600555, 0.15467098355293274, -0.020895013585686684, 0.942340075969696, 0.46246808767318726, 0.07501239329576492, 1.482113242149353, 0.8805021047592163, 0.08947181701660156, -0.8750337362289429, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.11689276248216629, -0.30762410163879395, 0.16315697133541107, -0.13558560609817505, 1.384953260421753, 0.6978711485862732, 0.23448847234249115, 1.8309974670410156, 1.1328849792480469, 0.03562002629041672, -1.2201629877090454, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.28169307112693787, -0.2303456962108612, 0.22295691072940826, -0.3455410599708557, 1.6907269954681396, 0.8893640637397766, 0.46743735671043396, 2.2223353385925293, 1.2865526676177979, 0.06201277673244476, -1.5339937210083008, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.028797242790460587, -0.24450232088565826, 0.17229589819908142, -0.02563536912202835, 0.939467191696167, 0.4647581875324249, 0.06674648076295853, 1.5117638111114502, 0.892841100692749, 0.09857187420129776, -0.869904637336731, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.03783748298883438, -0.253757119178772, 0.16581611335277557, -0.03556907922029495, 0.9412232637405396, 0.4639342725276947, 0.06817562878131866, 1.5097414255142212, 0.8920975923538208, 0.09537933766841888, -0.8702532052993774, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
3.5
4
6.25
-2.5
6
Ses03M_script03_2_F001
Presents? A trivial little broach.
6
anger
0.425
1,136
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ -0.07724133878946304, -0.15453998744487762, 0.1396787315607071, 0.07847976684570312, 0.9392966032028198, 0.45927098393440247, 0.11280845105648041, 1.4815186262130737, 0.896905779838562, 0.11698094010353088, -0.8864379525184631, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.12441010773181915, -0.29185593128204346, 0.22143252193927765, -0.07172977179288864, 0.5945911407470703, 0.38836899399757385, 0.19487613439559937, 1.202216625213623, 0.8353472948074341, 0.06514353305101395, -0.8743417859077454, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.08614489436149597, -0.23069509863853455, 0.23614685237407684, -0.01659880205988884, 0.6301813125610352, 0.42536455392837524, 0.1895330250263214, 1.2438530921936035, 0.831477165222168, 0.053785961121320724, -0.9501596689224243, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.05700191110372543, -0.2605530917644501, 0.2165408581495285, -0.0470619834959507, 0.5686958432197571, 0.32432377338409424, 0.1576763093471527, 1.216606855392456, 0.8199651837348938, 0.04814251512289047, -0.7608534693717957, 0....
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.09450918436050415, -0.2622070014476776, 0.2288946956396103, -0.0373493954539299, 0.6115853786468506, 0.41158318519592285, 0.1965007483959198, 1.2304582595825195, 0.8404287099838257, 0.06230693310499191, -0.9055466651916504, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.0800652801990509, -0.2751794159412384, 0.22707343101501465, -0.04304208606481552, 0.5776203870773315, 0.37238726019859314, 0.1915825456380844, 1.221017599105835, 0.8302643299102783, 0.05504653975367546, -0.8165160417556763, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.23116950690746307, -0.2723538279533386, 0.2868315875530243, -0.19923794269561768, 1.2320053577423096, 0.5579111576080322, 0.18161731958389282, 1.7724902629852295, 1.0529396533966064, 0.013807677663862705, -1.3430856466293335, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.44956764578819275, -0.16991975903511047, 0.38999608159065247, -0.49146735668182373, 1.712967038154602, 0.7593880295753479, 0.3016943335533142, 2.065089225769043, 1.2655936479568481, -0.12372993677854538, -1.6647921800613403, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.10898875445127487, -0.2631589472293854, 0.22554638981819153, -0.04730221629142761, 0.5935057997703552, 0.3945450484752655, 0.1829538494348526, 1.2274665832519531, 0.8367552161216736, 0.05868016928434372, -0.8595852851867676, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.11368858069181442, -0.2816186547279358, 0.2228994518518448, -0.06051304191350937, 0.5871914029121399, 0.3892080783843994, 0.19150708615779877, 1.2060348987579346, 0.8317972421646118, 0.061018068343400955, -0.8629173636436462, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_script03_2_F010
I don't know why you want it. You've already had two glasses.
6
anger
1.75
8,088
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.04753046855330467, -0.24774886667728424, 0.23436686396598816, 0.014611920341849327, 0.6305188536643982, 0.3858027160167694, 0.17977017164230347, 1.228454828262329, 0.8383258581161499, 0.05445734038949013, -0.8628581762313843, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.02626711130142212, -0.16253536939620972, 0.15692202746868134, -0.06975910812616348, 0.8505512475967407, 0.516690731048584, 0.27757343649864197, 1.4686639308929443, 0.9237861037254333, -0.09954499453306198, -0.9076205492019653, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.006264931056648493, -0.17929790914058685, 0.13876459002494812, -0.049923647195100784, 0.8740426301956177, 0.5440607666969299, 0.2928091883659363, 1.5323092937469482, 0.8942542672157288, -0.10333768278360367, -0.949261486530304, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.0044304621405899525, -0.17496739327907562, 0.13579288125038147, -0.06346950680017471, 0.8563283681869507, 0.46217668056488037, 0.273688405752182, 1.5247646570205688, 0.9162181615829468, -0.11744993925094604, -0.830920398235321, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.0037673097103834152, -0.1790953129529953, 0.15591536462306976, -0.05932537838816643, 0.8639097213745117, 0.5296033620834351, 0.2730889916419983, 1.5107386112213135, 0.9176040887832642, -0.09667299687862396, -0.9186797738075256, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.0030154497362673283, -0.1728954017162323, 0.1575966775417328, -0.07034394890069962, 0.8620073795318604, 0.49017542600631714, 0.27928560972213745, 1.5181983709335327, 0.9228570461273193, -0.10724575072526932, -0.8646718859672546, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.2073008120059967, -0.08104704320430756, 0.4369513690471649, -0.30707377195358276, 1.7431362867355347, 0.7282133102416992, 0.30848854780197144, 2.141021728515625, 1.3210948705673218, -0.32816222310066223, -1.4816852807998657, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.21409979462623596, 0.03724414110183716, 0.41023552417755127, -0.5661966800689697, 2.128979444503784, 1.2725028991699219, 0.7081971764564514, 2.5047199726104736, 1.2356220483779907, -0.21148590743541718, -2.20991849899292, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.02188759669661522, -0.16449710726737976, 0.1403968185186386, -0.06721949577331543, 0.8527321815490723, 0.5115787982940674, 0.2815811336040497, 1.486148715019226, 0.9223743677139282, -0.0998002216219902, -0.904194176197052, 0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ 0.02382705733180046, -0.16502994298934937, 0.14869815111160278, -0.06899119913578033, 0.8483093976974487, 0.5120031237602234, 0.28057846426963806, 1.4708846807479858, 0.9206187725067139, -0.0969378873705864, -0.9041783809661865, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
6
Ses03M_script03_2_F011
I don't see what you have to go on and on with this kind of thing.
6
anger
0.25
1,139
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.00843186117708683, -0.1955031156539917, 0.1268593668937683, -0.04427485540509224, 0.8409981727600098, 0.4961519241333008, 0.2801075279712677, 1.4821364879608154, 0.8893052935600281, -0.0918910801410675, -0.8935508131980896, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.11493878066539764, -0.32266944646835327, 0.14649789035320282, -0.12177249044179916, 0.9007440209388733, 0.48272138833999634, 0.07912322133779526, 1.4572733640670776, 0.7044438123703003, 0.003837002906948328, -0.9921791553497314, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.0018822397105395794, -0.1827794760465622, 0.08271440118551254, 0.15138937532901764, 0.9656263589859009, 0.6110569834709167, 0.07891544699668884, 1.6011888980865479, 0.6966738700866699, -0.07048893719911575, -1.0234956741333008, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ -0.03884545713663101, -0.28367623686790466, 0.04585670679807663, 0.12017153203487396, 0.8836727142333984, 0.4412589967250824, -0.004114830866456032, 1.5065964460372925, 0.6652992963790894, -0.006936524994671345, -0.9051230549812317, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.11535663157701492, -0.30667445063591003, 0.154290571808815, -0.047535840421915054, 1.000417709350586, 0.5758969187736511, 0.12001344561576843, 1.554283618927002, 0.7184265851974487, 0.010585331358015537, -1.0519803762435913, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.06342512369155884, -0.26435983180999756, 0.13802887499332428, 0.011194591410458088, 0.8389691114425659, 0.45196104049682617, 0.016061019152402878, 1.4150549173355103, 0.6956409215927124, -0.046343788504600525, -0.9338442087173462, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.07725869119167328, -0.04777522385120392, -0.11810529977083206, 0.04054899886250496, 1.643898606300354, 0.6870728731155396, 0.439310222864151, 2.098144054412842, 1.03154456615448, 0.2675851881504059, -1.566867470741272, -0.189...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.13881148397922516, -0.028075501322746277, -0.06128598004579544, -0.16366486251354218, 1.8429136276245117, 0.6337305903434753, 0.5303372144699097, 2.2569057941436768, 1.165917158126831, 0.2841634154319763, -1.7435674667358398, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.10574312508106232, -0.2956295311450958, 0.13579733669757843, -0.0831487774848938, 0.8860145807266235, 0.47444984316825867, 0.04595891758799553, 1.4512192010879517, 0.6943691372871399, -0.024006668478250504, -0.974105179309845, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ 0.11089350283145905, -0.30989205837249756, 0.13935396075248718, -0.10301154106855392, 0.8901562690734863, 0.4778430461883545, 0.06331612169742584, 1.4474538564682007, 0.7000887989997864, -0.009834583848714828, -0.9857516288757324, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
3
4.5
5
-3.75
6
Ses03M_script03_2_F014
What?
6
anger
0.675
9,282
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
3
4.5
[ { "feats": [ -0.019994618371129036, -0.25550761818885803, 0.14883911609649658, 0.1287177950143814, 0.9653245210647583, 0.580075740814209, 0.06636595726013184, 1.4716269969940186, 0.7287276387214661, -0.026374079287052155, -0.9779738187789917, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.15726925432682037, -0.322379469871521, 0.1791786551475525, -0.15393607318401337, 0.916759729385376, 0.39130139350891113, 0.03632050380110741, 1.3870437145233154, 0.9283280372619629, -0.1331358253955841, -0.9970380067825317, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
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speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.12468542158603668, -0.29336491227149963, 0.13911588490009308, -0.13348288834095, 0.809744119644165, 0.2790707051753998, -0.03012571670114994, 1.2735135555267334, 0.8753949403762817, -0.09998804330825806, -0.9260318279266357, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
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speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.12074985355138779, -0.29976871609687805, 0.1313001960515976, -0.14382287859916687, 0.8477965593338013, 0.32268473505973816, 0.01891431212425232, 1.3119562864303589, 0.9085533022880554, -0.10409872978925705, -0.9534440636634827, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.3575799763202667, -0.0677550733089447, 0.28534016013145447, -0.36455196142196655, 2.04347562789917, 0.9532859921455383, 0.43003156781196594, 2.128659963607788, 1.2462997436523438, 0.002433493733406067, -2.394535779953003, -0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.18092691898345947, -0.058853138238191605, 0.16076980531215668, -0.3595520853996277, 2.027228832244873, 0.7040240168571472, 0.38222000002861023, 1.8475271463394165, 1.177284836769104, 0.24229581654071808, -2.500654935836792, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.13836126029491425, -0.3229626715183258, 0.1656266152858734, -0.14780724048614502, 0.9054202437400818, 0.374010294675827, 0.028300421312451363, 1.382340431213379, 0.926065981388092, -0.12857218086719513, -0.9954433441162109, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.14155715703964233, -0.32560402154922485, 0.16475729644298553, -0.14837783575057983, 0.9042573571205139, 0.3775526285171509, 0.033002424985170364, 1.3767403364181519, 0.9218863248825073, -0.12955394387245178, -0.9946739673614502, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
3.5
4
6.25
-1.25
6
Ses03M_script03_2_F024
Adders don't snap, they sting.
6
anger
0.8
9,243
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
2.5
3.5
4
[ { "feats": [ 0.08726207166910172, -0.29315653443336487, 0.19544120132923126, -0.12540066242218018, 0.9315052628517151, 0.43271949887275696, 0.01867743209004402, 1.4060698747634888, 0.9238909482955933, -0.11930222064256668, -1.0307420492172241, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.03427683189511299, -0.26140135526657104, 0.18483813107013702, -0.11280806362628937, 0.9327770471572876, 0.38122379779815674, 0.016033390536904335, 1.3613159656524658, 0.816135048866272, -0.025951039046049118, -0.7343997955322266, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.03248077258467674, -0.2291557937860489, 0.21078261733055115, -0.12874586880207062, 0.9569677710533142, 0.48463088274002075, 0.03637972101569176, 1.414477825164795, 0.7928720116615295, -0.024235963821411133, -0.8235455751419067, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.017946619540452957, -0.2729403078556061, 0.15757907927036285, -0.12608034908771515, 1.0250041484832764, 0.3585020899772644, -0.05668086186051369, 1.4361613988876343, 0.8771917819976807, 0.019833067432045937, -0.7240579128265381, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.049396812915802, -0.2323262244462967, 0.18745698034763336, -0.09440098702907562, 0.9279385209083557, 0.433109313249588, 0.02755056880414486, 1.3562861680984497, 0.8014914989471436, -0.04923123121261597, -0.7698305249214172, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.02395622804760933, -0.2614603042602539, 0.1799379289150238, -0.1153450459241867, 0.9652009010314941, 0.36580759286880493, -0.021179990842938423, 1.3907963037490845, 0.8333035707473755, 0.0000976036608335562, -0.7089383006095886, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.08456408232450485, -0.2685805857181549, 0.25591275095939636, -0.09464854001998901, 1.4122947454452515, 0.5047313570976257, 0.13278605043888092, 1.8547354936599731, 1.1494346857070923, -0.025148799642920494, -1.1373283863067627, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.14985962212085724, -0.18625177443027496, 0.27289316058158875, -0.12713801860809326, 1.4397028684616089, 0.601879358291626, 0.14204686880111694, 1.7903368473052979, 1.25277578830719, -0.045945826917886734, -1.2037570476531982, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.037255480885505676, -0.2557670772075653, 0.18454918265342712, -0.11258519440889359, 0.9273723363876343, 0.3880924582481384, 0.009696942754089832, 1.3583921194076538, 0.8236371278762817, -0.0211311224848032, -0.7310405373573303, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.0326322503387928, -0.25780200958251953, 0.1830393373966217, -0.11134785413742065, 0.9286997318267822, 0.3842434883117676, 0.01237584464251995, 1.3566105365753174, 0.8191555142402649, -0.02336350455880165, -0.7320073843002319, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
6
Ses03M_script03_2_F025
They sting.
6
anger
0.075
4,477
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.013317685574293137, -0.2621007561683655, 0.18516458570957184, -0.04300815239548683, 0.9361796975135803, 0.41348621249198914, -0.02789366990327835, 1.3833363056182861, 0.8201053142547607, -0.027311164885759354, -0.7591152191162109, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }