label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.21277758479118347, -0.27969038486480713, 0.24941697716712952, -0.0190056711435318, 0.7944415211677551, 0.4392126798629761, 0.05914366617798805, 1.4174189567565918, 0.8265039324760437, 0.010040044784545898, -0.8411463499069214, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.17074045538902283, -0.2253934144973755, 0.23990850150585175, 0.026139335706830025, 0.8654080629348755, 0.46381863951683044, 0.09407924860715866, 1.3784421682357788, 0.8126657605171204, -0.05953288450837135, -0.866042971611023, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.21299323439598083, -0.26317423582077026, 0.23662035167217255, -0.00668641272932291, 0.7857078313827515, 0.37433990836143494, 0.006365748587995768, 1.3871721029281616, 0.8123009204864502, -0.02872980386018753, -0.725838840007782, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.21578820049762726, -0.24326050281524658, 0.23311622440814972, -0.03789207711815834, 0.8249642848968506, 0.44176992774009705, 0.06122084707021713, 1.430408000946045, 0.8280269503593445, -0.042173292487859726, -0.870074987411499, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.2189863920211792, -0.26686638593673706, 0.24079950153827667, -0.03429631143808365, 0.775635838508606, 0.39332523941993713, 0.01999821700155735, 1.4082227945327759, 0.81988924741745, 0.00012358072854112834, -0.7768572568893433, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.150041401386261, -0.28873544931411743, 0.28647491335868835, -0.020293908193707466, 1.124937891960144, 0.4605332911014557, 0.15884606540203094, 1.6613006591796875, 1.0373252630233765, 0.02534763514995575, -0.9154314994812012, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.26222243905067444, -0.2757396697998047, 0.29647332429885864, -0.043096523731946945, 1.328977346420288, 0.5414506196975708, 0.1926133632659912, 1.9097744226455688, 1.1820350885391235, 0.12132314592599869, -1.027910828590393, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.21127761900424957, -0.2754887044429779, 0.24760602414608002, -0.015447945334017277, 0.791438639163971, 0.4380073845386505, 0.05486704781651497, 1.4129585027694702, 0.8263627886772156, 0.006070151459425688, -0.8366526365280151, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.21201585233211517, -0.27754470705986023, 0.24868656694889069, -0.017124835401773453, 0.7936248183250427, 0.43866223096847534, 0.056959573179483414, 1.4155391454696655, 0.826734721660614, 0.008467815816402435, -0.838940441608429, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.6667
3
2
5
1.66675
2
Ses01F_impro03_F018
Penny slots. That's what he plays.
2
neutral
0.497244
8,858
0.287909
-0.333333
0
0.433013
0.707107
0.829156
0
0
0
4
4
3.6667
3
2
[ { "feats": [ 0.13631561398506165, -0.18622374534606934, 0.23997965455055237, 0.05074093118309975, 0.7669503092765808, 0.4387495815753937, 0.009717005304992199, 1.2999613285064697, 0.8107321858406067, -0.011860408820211887, -0.8018848896026611, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ -0.01600242778658867, -0.10627775639295578, 0.18033723533153534, 0.020853742957115173, 1.148148775100708, 0.46653443574905396, 0.091000497341156, 1.4758641719818115, 1.1589418649673462, -0.06017671898007393, -1.0587639808654785, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ -0.011904057115316391, -0.13415518403053284, 0.13770365715026855, 0.041888535022735596, 1.1032147407531738, 0.4404863119125366, 0.10627906769514084, 1.3264812231063843, 0.9905104041099548, 0.001134763122536242, -1.0910741090774536, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ -0.20139354467391968, -0.045677755028009415, 0.11178576946258545, 0.1152133122086525, 1.2698630094528198, 0.4529430866241455, 0.11246669292449951, 1.7502559423446655, 1.1801269054412842, -0.08691762387752533, -0.9028703570365906, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ 0.036244433373212814, -0.10602887719869614, 0.15332616865634918, 0.03546690568327904, 1.0991848707199097, 0.45132341980934143, 0.09035901725292206, 1.3854562044143677, 1.054474949836731, 0.012983446009457111, -1.1281925439834595, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ -0.08169326186180115, -0.07237283140420914, 0.14892148971557617, 0.053261540830135345, 1.2386776208877563, 0.4737297594547272, 0.07453057169914246, 1.642222285270691, 1.194205403327942, -0.06866354495286942, -1.005555272102356, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ 0.17941559851169586, -0.25383901596069336, 0.18075121939182281, -0.16018253564834595, 1.3485214710235596, 0.5787926912307739, 0.2666946053504944, 1.6204326152801514, 1.2119100093841553, 0.012128208763897419, -1.2988191843032837, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ 0.2210444211959839, -0.2774285078048706, 0.27569764852523804, -0.2503526210784912, 1.3623712062835693, 0.5472860336303711, 0.3989880084991455, 1.6122663021087646, 1.2417494058609009, 0.017005765810608864, -1.3139268159866333, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ -0.027223410084843636, -0.10682372748851776, 0.17556311190128326, 0.027459220960736275, 1.162907600402832, 0.4682654142379761, 0.09185102581977844, 1.4983189105987549, 1.1625478267669678, -0.057313770055770874, -1.0556949377059937, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ -0.021420178934931755, -0.10373278707265854, 0.17632004618644714, 0.023638121783733368, 1.149985432624817, 0.46361175179481506, 0.09106666594743729, 1.4789687395095825, 1.1600295305252075, -0.05817897617816925, -1.0581543445587158, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.6667
2.3333
2
3.33325
1.66675
2
Ses01F_impro03_F019
Yeah.
2
neutral
0.430581
8,569
0.302702
-0.333333
0
0.433013
0.5
0.829156
0
0
0
4
4
3.6667
2.3333
2
[ { "feats": [ 0.002555136103183031, -0.13321395218372345, 0.08989258855581284, 0.06845558434724808, 1.033372163772583, 0.4531747102737427, 0.11028286069631577, 1.321266770362854, 0.9880763292312622, -0.057348333299160004, -1.0921357870101929, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.14077578485012054, -0.3601417541503906, 0.2333359718322754, -0.08834297955036163, 0.8580360412597656, 0.3814311921596527, 0.03309441730380058, 1.6693710088729858, 0.9932079911231995, -0.11637759208679199, -0.6354236006736755, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.11383233219385147, -0.2678013741970062, 0.12223465740680695, -0.09885883331298828, 0.8318782448768616, 0.4161872863769531, 0.03536160662770271, 1.4625136852264404, 0.9319471120834351, -0.14694243669509888, -0.8481038212776184, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.09860340505838394, -0.3292061984539032, 0.11472970992326736, -0.014594104140996933, 0.8045775294303894, 0.3142392337322235, -0.005564524792134762, 1.5394203662872314, 1.002303957939148, -0.19243982434272766, -0.612511396408081, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.16962619125843048, -0.3327847123146057, 0.18460914492607117, -0.08854590356349945, 0.8426995277404785, 0.4162845015525818, 0.029815061017870903, 1.6089283227920532, 0.9569128751754761, -0.15351001918315887, -0.7060471177101135, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.11539200693368912, -0.3575872480869293, 0.16904506087303162, -0.062176413834095, 0.8179275393486023, 0.3503040671348572, 0.02447899617254734, 1.5442239046096802, 0.9824366569519043, -0.16699355840682983, -0.6657112836837769, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.10729605704545975, -0.15856830775737762, 0.40481385588645935, -0.29291993379592896, 1.3910696506500244, 0.5572634339332581, -0.0542624406516552, 2.376298666000366, 1.1670198440551758, -0.2786978781223297, -1.064856767654419, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.18378590047359467, -0.25593554973602295, 0.45902442932128906, -0.3125634491443634, 1.8785110712051392, 0.8174067735671997, 0.21340923011302948, 2.9233779907226562, 1.3690165281295776, -0.26720544695854187, -1.610387921333313, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.14139233529567719, -0.35870715975761414, 0.22910313308238983, -0.08475149422883987, 0.8562426567077637, 0.37816953659057617, 0.032861046493053436, 1.6652060747146606, 0.991662859916687, -0.118050217628479, -0.6356798410415649, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.14002524316310883, -0.35726645588874817, 0.2284434288740158, -0.08491165935993195, 0.8551713228225708, 0.37836962938308716, 0.031036999076604843, 1.664378046989441, 0.9920116662979126, -0.1175248771905899, -0.6329034566879272, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.6667
2
4.16675
0.83325
2
Ses01F_impro03_F022
Fifty bucks. Mmhmm.
2
neutral
0.263881
8,568
0.302702
-0.333333
0
0.5
0.433013
0.829156
0
0
0
4
4
3.3333
2.6667
2
[ { "feats": [ 0.07189726829528809, -0.29816094040870667, 0.140767440199852, -0.03387372940778732, 0.7946993708610535, 0.3476812243461609, 0.003027730854228139, 1.4713066816329956, 0.9797524213790894, -0.15095551311969757, -0.7531080842018127, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.09356269985437393, -0.47717800736427307, 0.000960162840783596, 0.04340582713484764, 1.2930831909179688, 0.4180015027523041, 0.11162708699703217, 1.8122856616973877, 1.3364851474761963, -0.17501844465732574, -0.8425467610359192, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.2041296511888504, -0.3510572910308838, 0.07358311861753464, 0.2097126692533493, 1.3123300075531006, 0.5021502375602722, 0.32284262776374817, 1.7957415580749512, 1.2422231435775757, -0.13561569154262543, -0.9548758864402771, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.08955094963312149, -0.5644264817237854, -0.022814985364675522, 0.05648072063922882, 1.3243402242660522, 0.4354090988636017, 0.12873457372188568, 1.8810460567474365, 1.2766116857528687, -0.24098868668079376, -0.7662619352340698, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.10724139958620071, -0.41669929027557373, 0.041880618780851364, 0.12020254880189896, 1.289656162261963, 0.454137921333313, 0.16762179136276245, 1.6907634735107422, 1.3118287324905396, -0.12783144414424896, -0.9429903626441956, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.09760800749063492, -0.5323110818862915, -0.004224118310958147, 0.0425746813416481, 1.3541393280029297, 0.41686296463012695, 0.11689446866512299, 1.9033395051956177, 1.3273943662643433, -0.2227705717086792, -0.788569986820221, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ 0.13058574497699738, -0.4965582489967346, 0.1359531730413437, -0.1817288100719452, 1.5238198041915894, 0.29535195231437683, 0.32549893856048584, 1.730712890625, 1.407550573348999, -0.09011521935462952, -1.2189823389053345, 0.24...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ 0.1718958169221878, -0.42722925543785095, 0.19897638261318207, -0.19671876728534698, 1.4582372903823853, 0.4381325840950012, 0.3351669907569885, 1.5607141256332397, 1.3799302577972412, -0.20386305451393127, -1.3552806377410889, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.10850871354341507, -0.47290605306625366, -0.0005806753761135042, 0.047248922288417816, 1.2941102981567383, 0.4118488132953644, 0.11937477439641953, 1.8346202373504639, 1.3325817584991455, -0.1800002157688141, -0.8200375437736511, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.08971212804317474, -0.48271703720092773, 0.0006882246816530824, 0.04503650963306427, 1.2965445518493652, 0.42221808433532715, 0.11255444586277008, 1.8028430938720703, 1.338760256767273, -0.17327210307121277, -0.8589223623275757, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.3333
2
3.33325
0
2
Ses01F_impro03_F023
Yeah.
2
neutral
0.208337
9,331
0.283124
-0.333333
0
0.829156
0.5
0.707107
0
0
0
4
4
3
2.3333
2
[ { "feats": [ -0.1190197616815567, -0.4532856345176697, 0.07708542048931122, 0.2123095840215683, 1.3217012882232666, 0.5589385032653809, 0.13052673637866974, 1.6718599796295166, 1.3287270069122314, -0.31652089953422546, -0.9998205304145813, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.15720877051353455, -0.3446354866027832, 0.2761766314506531, -0.08379760384559631, 0.8917585015296936, 0.40467214584350586, 0.23614154756069183, 1.3545650243759155, 0.8152152299880981, -0.06876391172409058, -0.950686514377594, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.11372847110033035, -0.37695804238319397, 0.2647835910320282, -0.06362666189670563, 0.9960325956344604, 0.45128074288368225, 0.2158127725124359, 1.4177178144454956, 0.8051700592041016, -0.03060646541416645, -0.9546583890914917, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.0978318378329277, -0.3283323347568512, 0.263169527053833, -0.03469916060566902, 0.9220045208930969, 0.3593306243419647, 0.15731199085712433, 1.3883885145187378, 0.8415409922599792, -0.08713733404874802, -0.7962936162948608, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.16133446991443634, -0.3443804979324341, 0.28181809186935425, -0.08486742526292801, 0.9346617460250854, 0.42465993762016296, 0.2536599934101105, 1.3458867073059082, 0.8066383004188538, -0.048568397760391235, -1.0072014331817627, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.12569458782672882, -0.33050134778022766, 0.3041377663612366, -0.06954233348369598, 0.8637783527374268, 0.39661192893981934, 0.20527033507823944, 1.3190970420837402, 0.801555335521698, -0.05510789155960083, -0.8810922503471375, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.09212002903223038, -0.35410329699516296, 0.2590450942516327, -0.22144117951393127, 1.1790415048599243, 0.37643203139305115, 0.23052731156349182, 1.5646096467971802, 0.9430760741233826, 0.03370320051908493, -1.1098219156265259, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.18029771745204926, -0.30649566650390625, 0.2535775899887085, -0.28566810488700867, 1.277435064315796, 0.39036744832992554, 0.2537347078323364, 1.6410292387008667, 1.022007703781128, 0.052942175418138504, -1.2850234508514404, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.15636715292930603, -0.3445308208465576, 0.27667054533958435, -0.08257400244474411, 0.8917854428291321, 0.4042092263698578, 0.23569466173648834, 1.3550989627838135, 0.8149582743644714, -0.06960000097751617, -0.9487246870994568, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.15648503601551056, -0.34454530477523804, 0.2761303782463074, -0.0831526443362236, 0.8918142318725586, 0.4045571982860565, 0.23598158359527588, 1.3543853759765625, 0.815231442451477, -0.06886421144008636, -0.950248122215271, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
2.6667
5
2.5
1
Ses01F_impro03_M000
So what's up? What's new?
1
neutral
0.597218
5,025
0.399408
-0.333333
0
0
0.707107
0.5
null
0
0
4
4
4
3
2.6667
[ { "feats": [ 0.1307651847600937, -0.32862767577171326, 0.244901642203331, -0.08770613372325897, 0.9866573810577393, 0.4344281256198883, 0.17295865714550018, 1.3512097597122192, 0.8187679648399353, -0.03221525251865387, -0.9927234053611755, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.0677645280957222, -0.17497210204601288, 0.16649973392486572, -0.017714332789182663, 0.884756326675415, 0.43802642822265625, 0.1407487392425537, 1.503058671951294, 0.8448917269706726, 0.026386316865682602, -0.713112473487854, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.06489823013544083, -0.14649760723114014, 0.12475097924470901, -0.037252504378557205, 0.8371790051460266, 0.5308212637901306, 0.1161215677857399, 1.444820523262024, 0.8415991067886353, 0.07435683161020279, -0.7211734056472778, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.03167422488331795, -0.24998681247234344, 0.15972819924354553, 0.016339680179953575, 0.8465328216552734, 0.4354548752307892, 0.12124042212963104, 1.5486327409744263, 0.8400105834007263, 0.05761759355664253, -0.6255539655685425, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.05946941673755646, -0.15687765181064606, 0.1434089094400406, -0.014458155259490013, 0.8569763898849487, 0.4674757122993469, 0.14033326506614685, 1.41072678565979, 0.8267738223075867, 0.005360554438084364, -0.7533867955207825, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.05002202093601227, -0.19303348660469055, 0.16307328641414642, -0.0008264295174740255, 0.8606715202331543, 0.41869106888771057, 0.11986694484949112, 1.5036163330078125, 0.8262895941734314, 0.0369926393032074, -0.6683083772659302, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.0009356210939586163, -0.2274957150220871, 0.13590800762176514, 0.006706650368869305, 1.0602842569351196, 0.5490962862968445, 0.1459658294916153, 1.6805379390716553, 0.9565230011940002, 0.15075461566448212, -0.866712749004364, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.07822224497795105, -0.2349584847688675, 0.1973264366388321, -0.0010784004116430879, 1.209786295890808, 0.5769254565238953, 0.19175556302070618, 1.7476166486740112, 1.0387060642242432, 0.189612478017807, -1.1095647811889648, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.06732471287250519, -0.1737738996744156, 0.16492728888988495, -0.017695579677820206, 0.8825988173484802, 0.4378160834312439, 0.13979695737361908, 1.501913070678711, 0.8443142175674438, 0.026534784585237503, -0.7111963629722595, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.06773056089878082, -0.1740192472934723, 0.16562725603580475, -0.017888909205794334, 0.8830613493919373, 0.43800583481788635, 0.14016512036323547, 1.501618504524231, 0.8445020318031311, 0.026477107778191566, -0.712274432182312, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4.3333
2.6667
2.3333
4.16675
3.33325
1
Ses01F_impro03_M001
Yeah. I heard.
1
neutral
0.986079
8,214
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4.3333
2.6667
2.3333
[ { "feats": [ 0.054964579641819, -0.1527409702539444, 0.1575901210308075, -0.01535872183740139, 0.83359295129776, 0.4868476688861847, 0.12652996182441711, 1.4791547060012817, 0.8361923098564148, 0.03237143158912659, -0.6911550760269165, -0.1...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.08342035114765167, -0.22064805030822754, 0.3430974781513214, -0.20713616907596588, 0.8947611451148987, 0.34491613507270813, 0.2359917014837265, 1.2853922843933105, 0.810961127281189, -0.08623559772968292, -0.6824368834495544, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.0009937821887433529, -0.21558047831058502, 0.3478587865829468, -0.1194344162940979, 0.9072844982147217, 0.3829410672187805, 0.1862017959356308, 1.3333697319030762, 0.8543171882629395, -0.11356909573078156, -0.7613927721977234, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.024059709161520004, -0.1842876374721527, 0.31254464387893677, -0.17733632028102875, 0.8675273060798645, 0.33122754096984863, 0.2464095950126648, 1.272454023361206, 0.8351861834526062, -0.11423894017934799, -0.5120059847831726, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.05476609990000725, -0.19595111906528473, 0.334447979927063, -0.1326206922531128, 0.8921735286712646, 0.36635828018188477, 0.21471764147281647, 1.2570728063583374, 0.7916560173034668, -0.11622433364391327, -0.7320255041122437, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.09348199516534805, -0.207631453871727, 0.337527871131897, -0.20625029504299164, 0.8972786068916321, 0.35112154483795166, 0.2557811439037323, 1.3060083389282227, 0.8048890233039856, -0.08947347104549408, -0.6329754590988159, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ -0.010213762521743774, -0.15810388326644897, 0.34497296810150146, -0.19784559309482574, 0.9864165186882019, 0.32512861490249634, 0.16344231367111206, 1.4406588077545166, 1.0675956010818481, -0.18662144243717194, -0.6960190534591675, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.08148090541362762, -0.14211317896842957, 0.32952064275741577, -0.2178274542093277, 1.1456400156021118, 0.3705093264579773, 0.14548519253730774, 1.5327180624008179, 1.1281810998916626, -0.1944272667169571, -0.8085170388221741, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.08001338690519333, -0.2174341380596161, 0.3427141606807709, -0.20622840523719788, 0.892812192440033, 0.3452138900756836, 0.2349095642566681, 1.2838244438171387, 0.812893807888031, -0.0871349424123764, -0.6781471967697144, -0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ 0.08178900182247162, -0.2197364866733551, 0.34296655654907227, -0.20664581656455994, 0.8939806818962097, 0.3448376953601837, 0.23567993938922882, 1.2842191457748413, 0.8120568990707397, -0.08646173775196075, -0.6807568073272705, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.6667
2.3333
4.16675
2.5
1
Ses01F_impro03_M006
He turned to you and was like...
1
neutral
0.597234
8,213
0.307487
-0.333333
0
0.433013
0.433013
0.829156
0
0
0
4
4
4
2.6667
2.3333
[ { "feats": [ -0.005019624717533588, -0.16837358474731445, 0.32945045828819275, -0.11940661817789078, 0.8485444188117981, 0.3522532880306244, 0.23778054118156433, 1.252064824104309, 0.8112043142318726, -0.11336652934551239, -0.6774962544441223, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ 0.0013683997094631195, -0.2477935254573822, 0.2654933035373688, -0.049384716898202896, 0.9240655899047852, 0.4804515242576599, 0.10825498402118683, 1.6287527084350586, 1.0377724170684814, -0.0598137341439724, -0.41271844506263733, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.07026246190071106, -0.2625621259212494, 0.2856224775314331, -0.032368697226047516, 0.9245458245277405, 0.5186561942100525, 0.20200321078300476, 1.642479419708252, 0.9394291639328003, -0.02081354893743992, -0.4203830361366272, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.10910599678754807, -0.28280875086784363, 0.19455605745315552, -0.018175145611166954, 0.9657440781593323, 0.46231818199157715, 0.19953525066375732, 1.776903748512268, 1.0988720655441284, -0.06438299268484116, -0.3450300693511963, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.06068282946944237, -0.27332019805908203, 0.33514344692230225, -0.05349797010421753, 0.9359968900680542, 0.5171311497688293, 0.1690073162317276, 1.6678286790847778, 1.0086137056350708, -0.0662270113825798, -0.4164067208766937, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.07037998735904694, -0.258348673582077, 0.23725995421409607, -0.06799078732728958, 0.9441355466842651, 0.4665631949901581, 0.14454153180122375, 1.737973690032959, 1.0528273582458496, -0.05230560153722763, -0.38700467348098755, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.1495547741651535, -0.342938095331192, 0.12146738171577454, -0.15612836182117462, 1.0041415691375732, 0.5479300618171692, 0.15983636677265167, 1.7362467050552368, 1.1968518495559692, -0.10162888467311859, -0.5684729218482971, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.13254041969776154, -0.31516680121421814, 0.1441536247730255, -0.11812765896320343, 1.055417776107788, 0.4842565655708313, 0.0665283352136612, 1.6738454103469849, 1.203857660293579, -0.0625346228480339, -0.7793108820915222, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.0004766299098264426, -0.2467508465051651, 0.26365551352500916, -0.04857213795185089, 0.9237045049667358, 0.48048603534698486, 0.10887015610933304, 1.6302859783172607, 1.0372716188430786, -0.06081949174404144, -0.41193315386772156,...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ 0.000880048843100667, -0.24732722342014313, 0.2641593813896179, -0.049269434064626694, 0.9233371019363403, 0.4799950420856476, 0.10822697728872299, 1.6285289525985718, 1.0370641946792603, -0.05996249243617058, -0.412382036447525, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.6667
2
4.16675
2.5
1
Ses01F_impro03_M008
Yeah.
1
neutral
0.708337
4,986
0.40499
-0.333333
0
0
0.433013
0.707107
null
0
0
4
4
4
2.6667
2
[ { "feats": [ -0.03553272783756256, -0.2528359293937683, 0.18310201168060303, -0.073859803378582, 0.8298522233963013, 0.45541393756866455, 0.21865040063858032, 1.4909040927886963, 0.9446526169776917, -0.021962003782391548, -0.5127226710319519, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.14010129868984222, -0.11090292781591415, 0.17592252790927887, -0.11592645198106766, 0.7719264626502991, 0.4346524477005005, 0.16989766061306, 1.421619176864624, 0.9756053686141968, -0.028051136061549187, -0.9159659743309021, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.11123299598693848, -0.052401103079319, 0.15830294787883759, -0.036553993821144104, 0.7730339169502258, 0.4632580876350403, 0.1681712567806244, 1.3526382446289062, 0.954916775226593, -0.05478232353925705, -0.981635570526123, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.11354799568653107, -0.09772834181785583, 0.1372978240251541, -0.08507853746414185, 0.7372866868972778, 0.4112303853034973, 0.1487606316804886, 1.3906584978103638, 0.970475435256958, -0.08986319601535797, -0.8315664529800415, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.13479338586330414, -0.10078871995210648, 0.18313711881637573, -0.06243690848350525, 0.7678048014640808, 0.46939557790756226, 0.17992018163204193, 1.3769586086273193, 0.9659493565559387, -0.011914519593119621, -0.9515387415885925, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.14387410879135132, -0.1214524433016777, 0.16618572175502777, -0.09562470763921738, 0.7422900795936584, 0.42325934767723083, 0.16574180126190186, 1.3931180238723755, 0.9802758097648621, -0.04861598089337349, -0.8493946194648743, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.07441719621419907, -0.14914368093013763, 0.2178409844636917, -0.052694812417030334, 0.8925251364707947, 0.38868051767349243, 0.02974439226090908, 1.3994427919387817, 1.0876855850219727, -0.06301917880773544, -1.0668953657150269, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.10869212448596954, -0.2522256076335907, 0.2687505781650543, -0.09326459467411041, 1.070220947265625, 0.39821669459342957, -0.00977045577019453, 1.6494355201721191, 1.1655656099319458, -0.008561992086470127, -1.1673805713653564, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.13832563161849976, -0.10834947973489761, 0.17511586844921112, -0.11504978686571121, 0.7714762687683105, 0.4351389706134796, 0.16888122260570526, 1.4202088117599487, 0.9753122329711914, -0.02865016460418701, -0.9142146110534668, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.13946157693862915, -0.10963070392608643, 0.17537494003772736, -0.11541233956813812, 0.7715620994567871, 0.434952050447464, 0.16947141289710999, 1.4204108715057373, 0.9754459261894226, -0.028646254912018776, -0.9154955148696899, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.6667
2.3333
2.3333
3.33325
1.66675
1
Ses01F_impro03_M009
Does that mean that you're going to get citizenship, too, in- in England or whatever?
1
neutral
0.319479
8,210
0.31142
-0.333333
0
0.707107
0.5
0.433013
0
0
0
4
4
3.6667
2.3333
2.3333
[ { "feats": [ 0.08154682070016861, -0.046027395874261856, 0.16758105158805847, -0.0008335611200891435, 0.7701466083526611, 0.44757574796676636, 0.13488055765628815, 1.3547734022140503, 0.9742206335067749, -0.06434246897697449, -0.9254666566848755,...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.09563150256872177, -0.24357196688652039, 0.36218902468681335, -0.1266057789325714, 0.9422494769096375, 0.23134928941726685, 0.08556091785430908, 1.273661732673645, 1.001186728477478, -0.0649426281452179, -0.7180382609367371, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.0763949379324913, -0.17877157032489777, 0.33483508229255676, 0.007678114343434572, 0.9796414375305176, 0.3233334720134735, 0.051361002027988434, 1.3375916481018066, 1.0091267824172974, -0.12084529548883438, -0.8199637532234192, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.009458077140152454, -0.22810477018356323, 0.30035990476608276, -0.08630380779504776, 0.914379894733429, 0.23073533177375793, 0.06503145396709442, 1.2610818147659302, 1.0181083679199219, -0.05119501054286957, -0.6705546975135803, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.10398541390895844, -0.22495804727077484, 0.35759466886520386, -0.0667634904384613, 0.9532614350318909, 0.27379608154296875, 0.05595827475190163, 1.2493128776550293, 1.0043883323669434, -0.09733875840902328, -0.7820266485214233, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.05427468195557594, -0.22989144921302795, 0.33428776264190674, -0.13266722857952118, 0.9179962873458862, 0.22786131501197815, 0.08319994807243347, 1.275465965270996, 0.9906964302062988, -0.06334084272384644, -0.672539472579956, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.014983688481152058, -0.33244070410728455, 0.22297248244285583, -0.13150539994239807, 1.03265380859375, 0.20237813889980316, 0.013207221403717995, 1.3407734632492065, 1.2626370191574097, -0.18725471198558807, -1.0108931064605713, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.12029170244932175, -0.30901065468788147, 0.20782972872257233, -0.13317520916461945, 1.0455182790756226, 0.21080602705478668, -0.027904722839593887, 1.362094759941101, 1.2842751741409302, -0.21189267933368683, -1.0916882753372192, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.09106893837451935, -0.2377897948026657, 0.36317113041877747, -0.12354472279548645, 0.9440677165985107, 0.2333734780550003, 0.08528341352939606, 1.2756373882293701, 1.0023269653320312, -0.06446237117052078, -0.7169009447097778, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.09343406558036804, -0.24066512286663055, 0.36273276805877686, -0.12429844588041306, 0.9426062107086182, 0.2323157638311386, 0.08550213277339935, 1.274521827697754, 1.0021733045578003, -0.06383264064788818, -0.7173630595207214, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.6667
2.6667
2.6667
4.16675
1.66675
1
Ses01F_impro03_M016
How much did he win at the slot?
1
neutral
0.252799
8,221
0.306635
-0.333333
0
0.707107
0.5
0.5
0
0
0
4
4
3.6667
2.6667
2.6667
[ { "feats": [ 0.00147513416595757, -0.22901152074337006, 0.3255237936973572, -0.02849477156996727, 0.8807373642921448, 0.26351067423820496, 0.12235648930072784, 1.2028167247772217, 0.967553973197937, -0.07388726621866226, -0.8024217486381531, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }