label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.07144429534673691, -0.21895354986190796, 0.16506962478160858, 0.1193823590874672, 0.88690584897995, 0.45040249824523926, 0.15010465681552887, 1.499813437461853, 0.9611766934394836, -0.19881802797317505, -0.770799994468689, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.11497939378023148, -0.298086553812027, 0.17322604358196259, 0.18032479286193848, 1.1093748807907104, 0.5865882039070129, 0.259367972612381, 1.593970537185669, 1.0130419731140137, -0.20355215668678284, -0.8716986179351807, 0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.05607229471206665, -0.25074663758277893, 0.11592566221952438, 0.1491958647966385, 0.9596741795539856, 0.48792392015457153, 0.1247032955288887, 1.5441995859146118, 0.999213695526123, -0.22757408022880554, -0.6756059527397156, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.08774856477975845, -0.21137279272079468, 0.16673380136489868, 0.15996970236301422, 0.985973060131073, 0.5118569731712341, 0.20670433342456818, 1.573912262916565, 1.0223805904388428, -0.21033477783203125, -0.8511979579925537, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.06282595545053482, -0.2116910219192505, 0.13761012256145477, 0.15243463218212128, 0.8899980187416077, 0.4559984803199768, 0.13428160548210144, 1.481237769126892, 0.9680749177932739, -0.20208066701889038, -0.7464886903762817, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.061144713312387466, -0.18340757489204407, 0.2134963423013687, -0.10795309394598007, 1.3611599206924438, 0.5656770467758179, 0.3021181523799896, 1.8028329610824585, 1.2283968925476074, 0.022206157445907593, -1.206352710723877, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.14441704750061035, -0.21870651841163635, 0.23831240832805634, -0.154462531208992, 1.4669097661972046, 0.5740511417388916, 0.31528496742248535, 1.800222396850586, 1.3246732950210571, 0.09582290053367615, -1.3443061113357544, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.07231394201517105, -0.22205154597759247, 0.16754411160945892, 0.12131016701459885, 0.8886540532112122, 0.45313137769699097, 0.1496703028678894, 1.4989076852798462, 0.9594169855117798, -0.20249417424201965, -0.7668634653091431, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.07353044301271439, -0.21970663964748383, 0.16305571794509888, 0.1219048872590065, 0.8872381448745728, 0.4513307511806488, 0.1515425145626068, 1.4988380670547485, 0.9615208506584167, -0.19877004623413086, -0.7707535028457642, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro04_F016
Yeah.
2
neutral
0.175
7,263
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.07412779331207275, -0.23697976768016815, 0.21236056089401245, 0.19517675042152405, 0.9931318163871765, 0.5298901200294495, 0.18899036943912506, 1.5210282802581787, 1.011887788772583, -0.18682393431663513, -0.8567051291465759, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.06789765506982803, -0.14080864191055298, 0.23195044696331024, -0.10824646800756454, 0.9370809197425842, 0.4748356342315674, 0.1602254956960678, 1.6122783422470093, 0.9627587795257568, -0.10459020733833313, -0.7759798765182495, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.05779031291604042, -0.12277142703533173, 0.1994883120059967, -0.044345661997795105, 0.960185170173645, 0.5351120829582214, 0.134098619222641, 1.6968022584915161, 0.9431349039077759, -0.1290474385023117, -0.8378781676292419, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.05718459561467171, -0.16631180047988892, 0.23087884485721588, -0.08416645973920822, 0.9285110235214233, 0.44216689467430115, 0.13955406844615936, 1.6053868532180786, 0.9910019040107727, -0.07903626561164856, -0.6907453536987305, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.07911965250968933, -0.11206189543008804, 0.22033056616783142, -0.07437451183795929, 0.9459155797958374, 0.5062755346298218, 0.1195395290851593, 1.6475954055786133, 0.9519826173782349, -0.12829351425170898, -0.803615152835846, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.06219681724905968, -0.16000618040561676, 0.24304860830307007, -0.09711387753486633, 0.935347318649292, 0.46231138706207275, 0.15264704823493958, 1.5989474058151245, 0.9777734279632568, -0.09319201111793518, -0.7439070343971252, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.02171209827065468, -0.2736855447292328, 0.21121688187122345, -0.08720588684082031, 1.0070996284484863, 0.46649035811424255, 0.1911327987909317, 1.6917396783828735, 1.0030587911605835, -0.07494311034679413, -0.8417268395423889, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.009843641892075539, -0.25902730226516724, 0.23758816719055176, -0.10313917696475983, 1.0707955360412598, 0.42514148354530334, 0.15321651101112366, 1.7683138847351074, 1.0676429271697998, -0.004468422848731279, -0.8783916234970093, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.0672534853219986, -0.14160026609897614, 0.23137526214122772, -0.10755298286676407, 0.9369086623191833, 0.4748711585998535, 0.15981073677539825, 1.612197756767273, 0.9623714685440063, -0.10486544668674469, -0.7753719091415405, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.06731974333524704, -0.14093446731567383, 0.23166288435459137, -0.107761450111866, 0.9369744062423706, 0.4749584496021271, 0.16023151576519012, 1.6120103597640991, 0.9626467227935791, -0.10473251342773438, -0.7757591605186462, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
2.5
5
0
2
Ses01M_impro04_F017
Like this, right now we're trying have a conversation.
2
neutral
0.125
2,223
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
3
2.5
[ { "feats": [ 0.014735584147274494, -0.1769610345363617, 0.232256680727005, -0.029267465695738792, 0.9357036352157593, 0.4992511570453644, 0.14676444232463837, 1.6263729333877563, 0.949851393699646, -0.09547650068998337, -0.7455950379371643, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
0.475
6,566
0.353391
null
null
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.10108641535043716, -0.18474842607975006, 0.21839013695716858, -0.13095352053642273, 0.875052273273468, 0.4298975467681885, 0.1842254102230072, 1.5313396453857422, 0.9414206147193909, -0.09973520040512085, -0.7868862152099609, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
0.475
6,566
0.353391
null
null
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.0972714051604271, -0.1710258424282074, 0.2086118459701538, -0.10951933264732361, 0.8751423358917236, 0.4560889005661011, 0.17339396476745605, 1.4746143817901611, 0.8947973251342773, -0.06949479132890701, -0.8372695446014404, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
0.475
6,566
0.353391
null
null
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.09114644676446915, -0.17807911336421967, 0.22239558398723602, -0.15404358506202698, 0.8548187017440796, 0.39604637026786804, 0.1614704430103302, 1.518568515777588, 0.917819619178772, -0.0827292874455452, -0.7232052087783813, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
0.475
6,566
0.353391
null
null
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.09599027037620544, -0.182240292429924, 0.20728902518749237, -0.11854612827301025, 0.8786040544509888, 0.43891844153404236, 0.18525512516498566, 1.5177483558654785, 0.9201029539108276, -0.08351590484380722, -0.8127504587173462, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
0.475
6,566
0.353391
null
null
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.09166549146175385, -0.1921779066324234, 0.21928894519805908, -0.1442897468805313, 0.8763173222541809, 0.42141056060791016, 0.1735561192035675, 1.523102045059204, 0.9347683191299438, -0.09349896758794785, -0.7632179856300354, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
0.475
6,566
0.353391
null
null
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
3.5
3.5
[ { "feats": [ 0.1241007000207901, -0.20846891403198242, 0.2401617169380188, -0.17102447152137756, 0.9762434363365173, 0.3970046639442444, 0.061400894075632095, 1.559303879737854, 0.9634445309638977, -0.07468530535697937, -0.9134040474891663, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3.5
3.5
6.25
-1.25
2
Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
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Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
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Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
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Ses01M_impro04_F018
We're trying to have a conversation and you seem extremely hostile. You keep cutting me off.
2
neutral
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
2
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
2
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
2
neutral
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
2
neutral
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
2
neutral
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volume_up
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Ses01M_impro04_F019
I can't finish the sentence with you without you jumping in...
2
neutral
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Ses01M_impro04_F020
...and you're always right.
2
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Ses01M_impro04_F020
...and you're always right.
2
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Ses01M_impro04_F020
...and you're always right.
2
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Ses01M_impro04_F020
...and you're always right.
2
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Ses01M_impro04_F020
...and you're always right.
2
neutral
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Ses01M_impro04_F020
...and you're always right.
2
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Ses01M_impro04_F020
...and you're always right.
2
neutral
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Ses01M_impro04_F020
...and you're always right.
2
neutral
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Ses01M_impro04_F020
...and you're always right.
2
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Ses01M_impro04_F020
...and you're always right.
2
neutral
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Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
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baseline
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Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
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Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
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null
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Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
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[ { "feats": [ 0.1250334233045578, -0.22370056807994843, 0.09903986752033234, -0.1185089573264122, 0.8153995871543884, 0.4910452663898468, 0.14695847034454346, 1.2247264385223389, 0.8971455693244934, -0.11521314829587936, -1.0135560035705566, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2.5
3
3.75
1.25
2
Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
0.125
5,543
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.08613108843564987, -0.2322441190481186, 0.10378045588731766, -0.11012915521860123, 0.7800115346908569, 0.45296400785446167, 0.12437994033098221, 1.1907365322113037, 0.908602774143219, -0.12838776409626007, -0.9472318291664124, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2.5
3
3.75
1.25
2
Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
0.125
5,543
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.08475760370492935, -0.3680758774280548, 0.16950619220733643, -0.17475081980228424, 1.14445960521698, 0.46502646803855896, 0.1516893208026886, 1.5150772333145142, 1.0566900968551636, -0.01768834888935089, -1.1443400382995605, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
3
3.75
1.25
2
Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
0.125
5,543
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.1914709210395813, -0.3499904274940491, 0.17990458011627197, -0.24298052489757538, 1.2937403917312622, 0.49285370111465454, 0.1492515653371811, 1.6431379318237305, 1.1826701164245605, 0.007421821355819702, -1.2606240510940552, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
3
3.75
1.25
2
Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
0.125
5,543
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.09555152803659439, -0.23826783895492554, 0.10995838046073914, -0.11696618050336838, 0.80979323387146, 0.4690224230289459, 0.1473531872034073, 1.2432382106781006, 0.9202037453651428, -0.13887079060077667, -0.9678369760513306, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2.5
3
3.75
1.25
2
Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
0.125
5,543
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.09651100635528564, -0.23663444817066193, 0.10855457186698914, -0.11661198735237122, 0.8075758814811707, 0.4675925672054291, 0.14638502895832062, 1.2401601076126099, 0.9191014170646667, -0.13691002130508423, -0.9675353765487671, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2.5
3
3.75
1.25
2
Ses01M_impro04_F021
You have an excuse for everything.
2
neutral
0.125
5,543
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.06808488816022873, -0.19542507827281952, 0.10931859165430069, -0.0769314393401146, 0.8597202301025391, 0.4649946391582489, 0.10464907437562943, 1.189326524734497, 0.9266148209571838, -0.10016722232103348, -1.025213599205017, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.07820765674114227, -0.12001317739486694, 0.09560632705688477, -0.10742668807506561, 0.751804769039154, 0.4464300572872162, 0.15525805950164795, 1.3548120260238647, 0.8674584031105042, -0.07969064265489578, -0.8313584923744202, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.06166430190205574, -0.07059671729803085, 0.08188045769929886, -0.0739729106426239, 0.7713789343833923, 0.46971410512924194, 0.14343810081481934, 1.303847074508667, 0.846756100654602, -0.06413836777210236, -0.9031155109405518, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.07290676236152649, -0.12401629984378815, 0.08368208259344101, -0.11388253420591354, 0.7444790601730347, 0.40118569135665894, 0.13994579017162323, 1.3424217700958252, 0.864345133304596, -0.0627809688448906, -0.7773711681365967, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.07377615571022034, -0.09391997009515762, 0.0853487029671669, -0.09532324224710464, 0.7675773501396179, 0.4668618142604828, 0.15584532916545868, 1.3270293474197388, 0.8638762831687927, -0.06456562876701355, -0.8688865303993225, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.08235523104667664, -0.12241626530885696, 0.09989628940820694, -0.09974860399961472, 0.7432336211204529, 0.42074069380760193, 0.14483602344989777, 1.3509469032287598, 0.8653906583786011, -0.07282566279172897, -0.8006437420845032, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.025020472705364227, -0.27751624584198, 0.12236789613962173, -0.1009981781244278, 1.0128990411758423, 0.5092493891716003, 0.11487019807100296, 1.594111442565918, 0.9905171394348145, -0.038847777992486954, -1.0396718978881836, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.08337250351905823, -0.3138049840927124, 0.15798629820346832, -0.10307348519563675, 1.1937648057937622, 0.5460782647132874, 0.13478943705558777, 1.8540337085723877, 1.1140142679214478, -0.0294201597571373, -1.134386420249939, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.07753941416740417, -0.11954949051141739, 0.09543769061565399, -0.10694462060928345, 0.7530267238616943, 0.44707056879997253, 0.15527036786079407, 1.3548671007156372, 0.8679496049880981, -0.07985955476760864, -0.8314264416694641, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.07765582948923111, -0.11948515474796295, 0.0951722115278244, -0.10711532086133957, 0.7518231868743896, 0.44633951783180237, 0.15518030524253845, 1.3539260625839233, 0.8674226403236389, -0.0798564925789833, -0.8310623168945312, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3.5
5
0
2
Ses01M_impro04_F022
I'm just saying that maybe you should take in some information before you produce more of your own.
2
neutral
0.125
6,565
0.353391
null
null
0.471405
0.816497
0.471405
0
0
0
4
3
3
3
3.5
[ { "feats": [ 0.06360238790512085, -0.10752850025892258, 0.0597018338739872, -0.10131310671567917, 0.7595561146736145, 0.4437996745109558, 0.14887678623199463, 1.279798150062561, 0.8621129393577576, -0.07103067636489868, -0.8550548553466797, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.04170169681310654, -0.21798531711101532, 0.17959748208522797, -0.09716173261404037, 1.0841944217681885, 0.5209203362464905, 0.14443759620189667, 1.1713783740997314, 0.9091225266456604, -0.16857373714447021, -1.3090969324111938, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.03636447712779045, -0.28634393215179443, 0.19375278055667877, -0.08923295140266418, 1.201689600944519, 0.6054348945617676, 0.15228699147701263, 1.2122273445129395, 0.9538554549217224, -0.17854070663452148, -1.3669058084487915, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.01639830321073532, -0.24623294174671173, 0.1391901820898056, -0.08617910742759705, 1.163400411605835, 0.5455062985420227, 0.10635562241077423, 1.236792802810669, 0.9745720028877258, -0.19834746420383453, -1.294842004776001, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.0618695504963398, -0.25589948892593384, 0.18917562067508698, -0.11490427702665329, 1.1205828189849854, 0.5731185674667358, 0.14934173226356506, 1.1508779525756836, 0.9222397804260254, -0.13387206196784973, -1.363533616065979, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.03414858132600784, -0.21992217004299164, 0.1721881628036499, -0.09497226774692535, 1.1439179182052612, 0.5482212901115417, 0.13134260475635529, 1.2196972370147705, 0.9710114598274231, -0.18792495131492615, -1.3192780017852783, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.15952305495738983, -0.39865195751190186, 0.3829253315925598, -0.40160003304481506, 1.9979029893875122, 0.7126055359840393, 0.5007779598236084, 2.039041757583618, 1.1719530820846558, 0.1651594042778015, -2.024709463119507, 0.0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.2213534712791443, -0.3208194971084595, 0.40731576085090637, -0.4330492615699768, 2.0928285121917725, 0.7552096843719482, 0.6343531608581543, 2.043874502182007, 1.2189885377883911, 0.2561981678009033, -2.3563709259033203, -0.0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.04146578162908554, -0.22086450457572937, 0.17875553667545319, -0.0999586284160614, 1.0796144008636475, 0.5193849802017212, 0.14242945611476898, 1.163315773010254, 0.9089577198028564, -0.16820575296878815, -1.302481770515442, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.040473565459251404, -0.22135484218597412, 0.17742080986499786, -0.09534519165754318, 1.0903079509735107, 0.5235614776611328, 0.14431950449943542, 1.1747387647628784, 0.912179172039032, -0.16917984187602997, -1.313396692276001, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3.5
3
6.25
2.5
2
Ses01M_impro04_F023
[BREATHING]
2
neutral
0.8
5,166
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.07330179214477539, -0.207272008061409, 0.21311840415000916, -0.1437315046787262, 1.0284005403518677, 0.4933490753173828, 0.15778681635856628, 1.0505645275115967, 0.8978409171104431, -0.08065663278102875, -1.295681118965149, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.1693476438522339, -0.19620399177074432, 0.07791172713041306, -0.11561951786279678, 0.7658922672271729, 0.36902713775634766, 0.13503491878509521, 1.2712253332138062, 0.899280309677124, -0.07600174099206924, -0.865493655204773, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.15291059017181396, -0.16879233717918396, 0.05785229057073593, -0.04594937711954117, 0.7445915937423706, 0.387117862701416, 0.10640425980091095, 1.1656211614608765, 0.8770898580551147, -0.05909881368279457, -0.8972693085670471, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.12496011704206467, -0.23165036737918854, 0.06594053655862808, -0.1211206316947937, 0.7631305456161499, 0.33598023653030396, 0.11984702944755554, 1.3001317977905273, 0.9197848439216614, -0.069727323949337, -0.7636688351631165, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.1727466583251953, -0.18626399338245392, 0.0840260311961174, -0.09730102121829987, 0.7772092819213867, 0.3963841199874878, 0.13351304829120636, 1.2234753370285034, 0.8925443887710571, -0.07778216153383255, -0.9315098524093628, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.1549261063337326, -0.20912276208400726, 0.08399829268455505, -0.12708620727062225, 0.7820614576339722, 0.3597806394100189, 0.13801316916942596, 1.2928663492202759, 0.9098548293113708, -0.0716007724404335, -0.8497564196586609, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.10341882705688477, -0.2623080015182495, 0.110681913793087, -0.22811667621135712, 1.000506043434143, 0.3487553298473358, 0.17479701340198517, 1.4600234031677246, 1.0282243490219116, 0.09174768626689911, -1.0548897981643677, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.1582600325345993, -0.2810133099555969, 0.23863182961940765, -0.3556595742702484, 1.2111670970916748, 0.383483350276947, 0.20475898683071136, 1.6911308765411377, 1.1665159463882446, 0.051883891224861145, -1.1782852411270142, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.16778641939163208, -0.19699221849441528, 0.07844190299510956, -0.11540868878364563, 0.7668858170509338, 0.3706475496292114, 0.1351553350687027, 1.2718249559402466, 0.9001463651657104, -0.07633470743894577, -0.8628044128417969, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.1683768630027771, -0.19590051472187042, 0.07780446112155914, -0.11516468226909637, 0.7655258178710938, 0.3692600131034851, 0.13440831005573273, 1.2701610326766968, 0.8993479013442993, -0.07596918940544128, -0.8644974827766418, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.5
3
6.25
0
2
Ses01M_impro04_F025
Well, what kind of field are you looking to go into?
2
neutral
0.3
5,202
0.392675
-0.333333
0
0
0.816497
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.1665635108947754, -0.19588707387447357, 0.07539395242929459, -0.07888495177030563, 0.7602378129959106, 0.3658922016620636, 0.08230940997600555, 1.2069177627563477, 0.9001095294952393, -0.07902560383081436, -0.8417072296142578, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.06532533466815948, -0.15830637514591217, 0.12601979076862335, 0.05902955308556557, 0.897134006023407, 0.39146098494529724, 0.14427009224891663, 0.975021481513977, 1.0666710138320923, -0.24730044603347778, -1.3135956525802612, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.10202933847904205, -0.17773756384849548, 0.10818265378475189, 0.04285223037004471, 1.122963309288025, 0.4326256811618805, 0.14552299678325653, 1.180841088294983, 1.1816951036453247, -0.3496798872947693, -1.4322788715362549, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.04591396823525429, -0.20642797648906708, 0.15406197309494019, 0.06616289913654327, 1.1264702081680298, 0.41480502486228943, 0.11690385639667511, 1.1294587850570679, 1.254280924797058, -0.3686622083187103, -1.3723907470703125, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.09265847504138947, -0.1476263403892517, 0.1225694864988327, 0.07609759271144867, 0.9582384824752808, 0.41347041726112366, 0.1507989466190338, 1.0420774221420288, 1.0815796852111816, -0.25037118792533875, -1.3498984575271606, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.06316164135932922, -0.1650722622871399, 0.1381489634513855, 0.05828239396214485, 0.9480173587799072, 0.4192931652069092, 0.1346811205148697, 0.9873025417327881, 1.1374038457870483, -0.30112579464912415, -1.3287969827651978, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.35606691241264343, -0.23370999097824097, 0.3957620859146118, -0.38444092869758606, 1.6896497011184692, 0.616081178188324, 0.5365987420082092, 1.8863108158111572, 1.2928621768951416, 0.09480809420347214, -1.6322076320648193, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.2712200880050659, -0.5533751249313354, 0.43100664019584656, -0.5364054441452026, 2.0183115005493164, 0.5907841920852661, 0.8598043322563171, 1.9586607217788696, 1.235469102859497, 0.273391991853714, -1.974165916442871, 0.2612...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.05982183292508125, -0.16176638007164001, 0.1142437681555748, 0.061608683317899704, 0.894019603729248, 0.3824179172515869, 0.13390105962753296, 0.970095157623291, 1.0637681484222412, -0.2527497410774231, -1.2988899946212769, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.0663440078496933, -0.16119195520877838, 0.13480667769908905, 0.05599768087267876, 0.9168096780776978, 0.4001201391220093, 0.14922860264778137, 0.9956859946250916, 1.0831892490386963, -0.24971289932727814, -1.3306914567947388, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4.5
4.5
1
8.75
3.75
1
Ses01M_impro04_M025
That's it.
1
neutral
3.125
9,163
0.285714
-0.333333
0
1
0.5
0.5
0
0
0
4
2
4.5
4.5
1
[ { "feats": [ 0.10534094274044037, -0.19670188426971436, 0.19822074472904205, 0.0439489372074604, 1.134668231010437, 0.4828745126724243, 0.1301371306180954, 1.2521041631698608, 1.2140144109725952, -0.3845033347606659, -1.3924283981323242, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }