Datasets:
cairocode
/
IEMO_Emotion2Vec_Augmented

Dataset card Data Studio Files
xet
 Community
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
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
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baseline
baseline
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
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2.5
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[ { "feats": [ 0.04523206502199173, -0.10285444557666779, 0.24988986551761627, -0.08001967519521713, 0.9856177568435669, 0.6689164638519287, 0.16795280575752258, 1.449869990348816, 0.8834421038627625, -0.0903129130601883, -1.0765166282653809, ...
speed_0.9
speed_perturbation
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
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2.5
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speed_1.1
speed_perturbation
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.05978718027472496, -0.08571995049715042, 0.25957050919532776, -0.09656132757663727, 1.0039589405059814, 0.6644477844238281, 0.16227313876152039, 1.4645037651062012, 0.898815929889679, -0.10424265265464783, -1.0593317747116089, ...
speed_0.95
speed_perturbation
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
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speed_1.05
speed_perturbation
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.19128811359405518, -0.20645791292190552, 0.39940571784973145, -0.04767107963562012, 1.4084948301315308, 0.6938775777816772, 0.2441975176334381, 1.945781946182251, 1.039894938468933, 0.05602322891354561, -1.3733513355255127, -...
light_noise
gaussian_noise
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.09512944519519806, 0.022342000156641006, 0.5449949502944946, -0.20626352727413177, 1.6903470754623413, 1.0133417844772339, 0.3611694872379303, 2.2570886611938477, 1.115169882774353, -0.12230490148067474, -1.9297524690628052, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.041915539652109146, -0.07616353780031204, 0.27501416206359863, -0.10581179708242416, 1.0139520168304443, 0.6632407903671265, 0.15814991295337677, 1.515945553779602, 0.9041987061500549, -0.11603597551584244, -1.0329480171203613, ...
volume_down
volume_scale
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.03994382172822952, -0.07410363107919693, 0.2756061851978302, -0.1090218722820282, 1.016005277633667, 0.6618777513504028, 0.1596125066280365, 1.5139329433441162, 0.9038859009742737, -0.11830692738294601, -1.0353615283966064, -...
volume_up
volume_scale
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2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F002
I'm sorry. It's just a lot ahh to explain. ahh I got a call--
10
sad
0.2
4,654
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.05866878479719162, -0.10915398597717285, 0.21999981999397278, -0.05793573334813118, 0.909484326839447, 0.5994285941123962, 0.14951445162296295, 1.347817301750183, 0.8516098856925964, -0.03296222910284996, -1.0003567934036255, ...
low_pass
low_pass_filter
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2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.1578281819820404, -0.20049594342708588, 0.15713627636432648, -0.07583922147750854, 0.9284514784812927, 0.4394604563713074, 0.11607372015714645, 1.2379961013793945, 0.9506203532218933, -0.10119735449552536, -1.0855927467346191, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.14971576631069183, -0.16156624257564545, 0.18471303582191467, -0.07280479371547699, 0.955821692943573, 0.4762463867664337, 0.13941124081611633, 1.2201215028762817, 0.9551623463630676, -0.09825316071510315, -1.1496976613998413, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.14903277158737183, -0.19927498698234558, 0.1550172120332718, -0.0930514931678772, 0.8856688737869263, 0.39748719334602356, 0.10683131217956543, 1.1797716617584229, 0.9436395168304443, -0.10838648676872253, -0.9777820706367493, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.1603853553533554, -0.19436082243919373, 0.16848431527614594, -0.06698551028966904, 0.9361283183097839, 0.4533635973930359, 0.12856724858283997, 1.2242532968521118, 0.9525315761566162, -0.100906603038311, -1.1233439445495605, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.1597987711429596, -0.21502211689949036, 0.15919595956802368, -0.09005885571241379, 0.9104331135749817, 0.4163016676902771, 0.11455372720956802, 1.202736258506775, 0.9431801438331604, -0.09794779866933823, -1.0287874937057495, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.11635814607143402, -0.26037362217903137, 0.30564045906066895, -0.2241157442331314, 1.3295058012008667, 0.44310256838798523, 0.12736757099628448, 1.565588116645813, 1.156145691871643, 0.0007826584624126554, -1.3190855979919434, ...
light_noise
gaussian_noise
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2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.251056045293808, -0.159992977976799, 0.43221765756607056, -0.31859979033470154, 1.8147116899490356, 0.7640072107315063, 0.38785624504089355, 2.301231622695923, 1.3654968738555908, -0.23351821303367615, -1.5792343616485596, -0...
medium_noise
gaussian_noise
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2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.15274523198604584, -0.19978691637516022, 0.16005156934261322, -0.07493740320205688, 0.935332715511322, 0.444644957780838, 0.1185074970126152, 1.246561050415039, 0.9583435654640198, -0.10737074911594391, -1.085087776184082, 0....
volume_down
volume_scale
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2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.15468725562095642, -0.19905777275562286, 0.15599100291728973, -0.07576020061969757, 0.9269943237304688, 0.4383904039859772, 0.11679667979478836, 1.2329695224761963, 0.9519808292388916, -0.10112524777650833, -1.0810052156448364, ...
volume_up
volume_scale
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2
1.5
2
2
2.5
-3.75
10
Ses05F_impro02_F005
I'm going to need to go overseas for a while.
10
sad
0
2,026
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
1.5
2
2
[ { "feats": [ 0.1313852071762085, -0.16802707314491272, 0.14672310650348663, -0.04397125914692879, 0.9049902558326721, 0.4153360426425934, 0.08175654709339142, 1.200380563735962, 0.9397826194763184, -0.09854108095169067, -1.0690988302230835, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.1071467474102974, -0.20975375175476074, 0.17673344910144806, 0.06696141511201859, 1.2493232488632202, 0.6335827708244324, 0.25670456886291504, 1.5945711135864258, 0.9620319604873657, -0.15986904501914978, -1.2850236892700195, ...
baseline
baseline
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2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.06919407844543457, -0.2708507776260376, 0.17182914912700653, 0.07335538417100906, 1.3016481399536133, 0.6750602722167969, 0.25108787417411804, 1.616025686264038, 0.9790037274360657, -0.16465912759304047, -1.3457088470458984, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.06263753026723862, -0.3004738688468933, 0.13511665165424347, 0.11750439554452896, 1.2967164516448975, 0.5914196372032166, 0.21139687299728394, 1.6738207340240479, 1.0091438293457031, -0.14948788285255432, -1.183105230331421, ...
speed_1.1
speed_perturbation
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2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.07216376811265945, -0.21929702162742615, 0.1613646149635315, 0.0755261778831482, 1.268308162689209, 0.6661949753761292, 0.26032358407974243, 1.582802414894104, 0.9617116451263428, -0.1532367616891861, -1.3452430963516235, 0....
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.08274972438812256, -0.2494766116142273, 0.1565951406955719, 0.09579403698444366, 1.2885692119598389, 0.6226555705070496, 0.23545153439044952, 1.6510320901870728, 0.9821813702583313, -0.15927498042583466, -1.2521790266036987, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.07582493871450424, -0.18761616945266724, 0.20934456586837769, -0.18207134306430817, 1.9975134134292603, 0.8050246238708496, 0.4655590057373047, 2.2941558361053467, 1.1130602359771729, 0.14755508303642273, -2.064807653427124, ...
light_noise
gaussian_noise
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2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.14712250232696533, -0.2896858751773834, 0.3155255913734436, -0.35629144310951233, 2.219611406326294, 0.7574179172515869, 0.6209078431129456, 2.033195972442627, 1.196353793144226, 0.2867332994937897, -2.4760687351226807, -0.02...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.0940982773900032, -0.21565815806388855, 0.17064933478832245, 0.0744648277759552, 1.2488720417022705, 0.631249725818634, 0.25193801522254944, 1.5905112028121948, 0.963101863861084, -0.1599610149860382, -1.2826595306396484, 0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.1005389392375946, -0.21143104135990143, 0.17261920869350433, 0.07130321115255356, 1.2518290281295776, 0.6336990594863892, 0.2546485662460327, 1.5924673080444336, 0.9634217023849487, -0.15613149106502533, -1.2883416414260864, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F008
I don't know "sigh".
10
sad
0.675
7,738
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ -0.016560852527618408, -0.313793420791626, 0.13225266337394714, 0.181686669588089, 1.3303805589675903, 0.6634241938591003, 0.1621573269367218, 1.6782962083816528, 1.019821047782898, -0.15031388401985168, -1.3397924900054932, 0....
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.06585690379142761, -0.1155703142285347, 0.18859393894672394, -0.028784053400158882, 0.8660569787025452, 0.4783906042575836, 0.16244374215602875, 1.4085261821746826, 0.7619258761405945, -0.0811501294374466, -0.8108658194541931, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.056560318917036057, -0.12163571268320084, 0.16612721979618073, -0.008936967700719833, 0.82972252368927, 0.4972979724407196, 0.169063538312912, 1.342293620109558, 0.7453057169914246, -0.0558491013944149, -0.8734859228134155, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.04588240385055542, -0.12401972711086273, 0.20154887437820435, 0.011250237002968788, 0.8750930428504944, 0.4586041569709778, 0.15389959514141083, 1.4285155534744263, 0.7803130745887756, -0.05567337945103645, -0.7725027203559875, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.06492234021425247, -0.1121266558766365, 0.1774023026227951, -0.018973328173160553, 0.8545475006103516, 0.4949735105037689, 0.1669345498085022, 1.36178457736969, 0.765261173248291, -0.08091092854738235, -0.8398381471633911, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.048593420535326004, -0.11325431615114212, 0.189150869846344, -0.018310250714421272, 0.8630154728889465, 0.46858784556388855, 0.15669916570186615, 1.407223105430603, 0.7689069509506226, -0.054938726127147675, -0.7846378087997437, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ 0.08081656694412231, -0.15637877583503723, 0.33573153614997864, -0.07227055728435516, 1.503299593925476, 0.813372790813446, 0.33664125204086304, 2.1449525356292725, 1.0540357828140259, 0.11526177078485489, -1.537079930305481, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ 0.0771440714597702, -0.1354847103357315, 0.3522076904773712, -0.19333408772945404, 1.8445944786071777, 0.9472425580024719, 0.4122650623321533, 2.367220878601074, 1.1432346105575562, 0.25297799706459045, -2.1138617992401123, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.06135587766766548, -0.11966001987457275, 0.18619708716869354, -0.026140177622437477, 0.8623445630073547, 0.4796068072319031, 0.16199944913387299, 1.3974753618240356, 0.7624465227127075, -0.07557407021522522, -0.813214898109436, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.06606138497591019, -0.11697142571210861, 0.18403594195842743, -0.025380825623869896, 0.868021547794342, 0.4797355830669403, 0.16077911853790283, 1.4084280729293823, 0.762411892414093, -0.080452561378479, -0.811379611492157, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
1
3
1.5
5
-5
10
Ses05F_impro02_F009
I know. I know.
10
sad
0.3
6,217
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
1
3
1.5
[ { "feats": [ -0.028348887339234352, -0.11908558011054993, 0.18293258547782898, 0.017489762976765633, 0.8604134321212769, 0.4811401963233948, 0.14298397302627563, 1.4094393253326416, 0.7690455317497253, -0.018545743077993393, -0.8512436747550964, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.07867622375488281, -0.14186283946037292, 0.17614136636257172, -0.12657177448272705, 0.7757543921470642, 0.41271206736564636, 0.10701446235179901, 1.3052695989608765, 0.8218346834182739, -0.02918142080307007, -0.8910199403762817, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.05201313644647598, -0.1420840173959732, 0.190360888838768, -0.07685384899377823, 0.7844962477684021, 0.46013128757476807, 0.13014645874500275, 1.28594970703125, 0.817115068435669, -0.031673066318035126, -0.9257156848907471, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.04969453439116478, -0.13822831213474274, 0.18682824075222015, -0.09737525880336761, 0.7776730060577393, 0.3783848285675049, 0.0883459523320198, 1.3367244005203247, 0.8321202397346497, -0.022575432434678078, -0.8280614614486694, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.06587585806846619, -0.13612741231918335, 0.18128539621829987, -0.10503125190734863, 0.7775854468345642, 0.43749845027923584, 0.12126211076974869, 1.2802983522415161, 0.8189036846160889, -0.030482063069939613, -0.9134867787361145, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.05903813615441322, -0.13599243760108948, 0.18659022450447083, -0.11438871920108795, 0.7833442687988281, 0.40243083238601685, 0.10257460922002792, 1.3329904079437256, 0.8310036659240723, -0.027127766981720924, -0.8617576956748962, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.06575775891542435, -0.1790413111448288, 0.1858004480600357, -0.09293104708194733, 0.9772162437438965, 0.411638081073761, 0.08462158590555191, 1.4209731817245483, 0.8940832614898682, 0.049234118312597275, -1.132237434387207, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.11613039672374725, -0.1911812275648117, 0.2323249876499176, -0.0850570872426033, 1.2512314319610596, 0.46001845598220825, 0.08913879096508026, 1.7279037237167358, 1.018235206604004, 0.0291567575186491, -1.3303191661834717, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.07697756588459015, -0.14013917744159698, 0.17624549567699432, -0.12321123480796814, 0.7758784294128418, 0.41409212350845337, 0.1061260849237442, 1.3047785758972168, 0.8234349489212036, -0.029244232922792435, -0.8902420997619629, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.07754027843475342, -0.1408587098121643, 0.17583754658699036, -0.12509411573410034, 0.7749188542366028, 0.41284069418907166, 0.10641364753246307, 1.3026478290557861, 0.8215858936309814, -0.028947055339813232, -0.8901948928833008, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2.5
2
3.75
-2.5
10
Ses05F_impro02_F010
I know. Well, we'll have to figure all that out. I mean, I think the Army's going to provide childcare and help us out with that. um.
10
sad
0.2
1,781
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
2.5
2
[ { "feats": [ 0.026867369189858437, -0.13606762886047363, 0.19052618741989136, -0.07319741696119308, 0.7589344382286072, 0.4100913405418396, 0.09189804643392563, 1.2521882057189941, 0.8179521560668945, -0.03796969726681709, -0.8500986695289612, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.025965768843889236, -0.08586166799068451, 0.28640076518058777, 0.0630577802658081, 1.281309962272644, 0.5352506041526794, 0.3051603436470032, 1.475970983505249, 0.8974196314811707, -0.10594857484102249, -1.1174792051315308, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.04645397141575813, -0.09726500511169434, 0.24728412926197052, 0.11077283322811127, 1.272464394569397, 0.594516396522522, 0.31540560722351074, 1.4181528091430664, 0.9245867729187012, -0.14016883075237274, -1.1245626211166382, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.06226397678256035, -0.10787706077098846, 0.2453242987394333, 0.06987135857343674, 1.22646164894104, 0.495934396982193, 0.2807694375514984, 1.4208022356033325, 0.8809541463851929, -0.12083809822797775, -0.9940012097358704, 0....
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.020342310890555382, -0.11295370012521744, 0.2730886936187744, 0.07610010355710983, 1.3181060552597046, 0.5772954821586609, 0.32322055101394653, 1.4719064235687256, 0.9269444346427917, -0.11578287184238434, -1.1644431352615356, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.041703153401613235, -0.0935647264122963, 0.27027925848960876, 0.04318525269627571, 1.274795413017273, 0.5010416507720947, 0.29265743494033813, 1.4456934928894043, 0.8889367580413818, -0.1122385784983635, -1.0737892389297485, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.19441437721252441, -0.10815797746181488, 0.19917647540569305, -0.15918269753456116, 2.1120638847351074, 0.589508056640625, 0.44524532556533813, 2.0166592597961426, 1.2294460535049438, 0.31660881638526917, -2.328824758529663, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ 0.15792058408260345, -0.10824911296367645, 0.17769138514995575, -0.27578121423721313, 2.1666817665100098, 0.6263517141342163, 0.48697829246520996, 2.0663084983825684, 1.1798032522201538, 0.32021522521972656, -2.3999152183532715, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.0274849534034729, -0.09417065232992172, 0.2749450206756592, 0.06251106411218643, 1.2613420486450195, 0.5241815447807312, 0.29929807782173157, 1.4484961032867432, 0.8875280022621155, -0.10945630073547363, -1.0966624021530151, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.030367162078619003, -0.08734609186649323, 0.27620434761047363, 0.06130589172244072, 1.2729663848876953, 0.5290011167526245, 0.3011864125728607, 1.461051344871521, 0.8915139436721802, -0.10874301940202713, -1.1099228858947754, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2.5
1.5
3.75
-2.5
10
Ses05F_impro02_F011
Iraq.
10
sad
0.2
8,873
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
2
2.5
1.5
[ { "feats": [ -0.04046929255127907, -0.13978460431098938, 0.28727391362190247, 0.05853103846311569, 1.1830886602401733, 0.5104942917823792, 0.2797897756099701, 1.3428304195404053, 0.8615111708641052, -0.06794899702072144, -1.0517584085464478, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.0340651273727417, -0.1581045389175415, 0.21758940815925598, -0.08573896437883377, 1.1500897407531738, 0.5548614859580994, 0.13434535264968872, 1.4977039098739624, 0.9128485918045044, -0.21016114950180054, -1.1283763647079468, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.029184261336922646, -0.1369926780462265, 0.20688268542289734, -0.012364843860268593, 1.0877569913864136, 0.5813326835632324, 0.156182661652565, 1.4395761489868164, 0.8715564608573914, -0.18882842361927032, -1.1469281911849976, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.03924119472503662, -0.15651346743106842, 0.23952659964561462, -0.04518411308526993, 1.1223440170288086, 0.5377920269966125, 0.12500052154064178, 1.4958813190460205, 0.9141970872879028, -0.23589670658111572, -1.0635895729064941, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.038560185581445694, -0.14929111301898956, 0.22557778656482697, -0.04257674515247345, 1.1233528852462769, 0.5663124918937683, 0.15403126180171967, 1.4570608139038086, 0.892497718334198, -0.1932210773229599, -1.1377757787704468, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.04388211667537689, -0.15800614655017853, 0.22312557697296143, -0.07744576781988144, 1.1425848007202148, 0.5607165098190308, 0.13272863626480103, 1.5128988027572632, 0.9142633676528931, -0.2176094800233841, -1.095000982284546, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.04890964925289154, -0.0028421080205589533, 0.18721945583820343, -0.050159845501184464, 1.2038246393203735, 0.5440791845321655, 0.08271343261003494, 1.49894118309021, 0.935273289680481, -0.11978630721569061, -1.4564249515533447, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.12994681298732758, 0.007989157922565937, 0.22930963337421417, -0.08172540366649628, 1.4468899965286255, 0.6073442697525024, 0.11204437166452408, 1.6287243366241455, 1.0473213195800781, -0.11764977872371674, -1.7552465200424194, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.0361112579703331, -0.15073177218437195, 0.2182788848876953, -0.08259671926498413, 1.1373467445373535, 0.5526983737945557, 0.13629627227783203, 1.4852938652038574, 0.9037874341011047, -0.21309049427509308, -1.1173759698867798, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.034728553146123886, -0.15605439245700836, 0.21668319404125214, -0.08440059423446655, 1.1443418264389038, 0.5536050200462341, 0.1337447464466095, 1.4901176691055298, 0.910006582736969, -0.21065382659435272, -1.1243222951889038, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
1.5
2.5
2
3.75
-3.75
10
Ses05F_impro02_F012
I think infantry. I'm not sure.
10
sad
0.075
4,685
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
2.5
2
[ { "feats": [ 0.03177930787205696, -0.14209428429603577, 0.2094896286725998, 0.01652136817574501, 1.1246353387832642, 0.5598544478416443, 0.11412312090396881, 1.449846625328064, 0.9356632828712463, -0.2254650741815567, -1.1906291246414185, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.1828879415988922, -0.21713843941688538, 0.1999703049659729, -0.10390205681324005, 0.9490938186645508, 0.35720789432525635, 0.12080011516809464, 1.5883067846298218, 0.9570958018302917, -0.23541824519634247, -0.690933346748352, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.21257200837135315, -0.18131206929683685, 0.2526199221611023, -0.0788545235991478, 0.942849338054657, 0.3984186053276062, 0.16408200562000275, 1.5400030612945557, 0.9801176190376282, -0.2617246210575104, -0.7602937817573547, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.16865195333957672, -0.2041105031967163, 0.20128361880779266, -0.09573354572057724, 0.925812304019928, 0.3078683614730835, 0.12943649291992188, 1.556235671043396, 1.0009700059890747, -0.2383028268814087, -0.6475103497505188, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.19768470525741577, -0.19585564732551575, 0.22027014195919037, -0.09324509650468826, 0.932908296585083, 0.36980846524238586, 0.1539093554019928, 1.5493484735488892, 0.9514146447181702, -0.24346771836280823, -0.7317474484443665, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.18566855788230896, -0.20560632646083832, 0.21018534898757935, -0.10144880414009094, 0.9364629983901978, 0.3540768325328827, 0.10903801023960114, 1.5917361974716187, 0.9516915678977966, -0.20787595212459564, -0.6690894365310669, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.19378821551799774, -0.14340028166770935, 0.2680548429489136, -0.15128792822360992, 0.9982867240905762, 0.4093075692653656, 0.15786978602409363, 1.5252747535705566, 0.9129301309585571, -0.19854597747325897, -0.7639967203140259, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.28696250915527344, -0.16904316842556, 0.4424141049385071, -0.21126976609230042, 1.3386586904525757, 0.5596333742141724, 0.1459304839372635, 2.066460371017456, 1.1616649627685547, -0.26208242774009705, -0.7853983640670776, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.1831245720386505, -0.2166815847158432, 0.20033890008926392, -0.10367763787508011, 0.9485873579978943, 0.3574378788471222, 0.12103936821222305, 1.587533712387085, 0.9570144414901733, -0.23542986810207367, -0.6911143064498901, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.18302561342716217, -0.21683968603610992, 0.1999942660331726, -0.10381906479597092, 0.9485877752304077, 0.35691511631011963, 0.12086710333824158, 1.5874792337417603, 0.9567646980285645, -0.2351442277431488, -0.6910851001739502, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
1.5
3.5
1.5
6.25
-3.75
10
Ses05F_impro02_F021
I don't think there's anything we can do.
10
sad
0.675
7,734
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
3.5
1.5
[ { "feats": [ 0.18418057262897491, -0.16972103714942932, 0.188132181763649, -0.07654590904712677, 0.8759474158287048, 0.31806427240371704, 0.1478283554315567, 1.424796462059021, 0.940684974193573, -0.22209911048412323, -0.69306480884552, 0.0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.11917765438556671, -0.12184315919876099, 0.24390672147274017, -0.11153548210859299, 0.8263692259788513, 0.5346633195877075, 0.1318858563899994, 1.3376476764678955, 0.838082492351532, -0.08365441113710403, -1.068131685256958, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.06031601130962372, -0.11779235303401947, 0.2532373368740082, -0.01828114315867424, 0.7744254469871521, 0.5417075753211975, 0.14399521052837372, 1.3143260478973389, 0.8307359218597412, -0.08548592776060104, -1.059448480606079, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.11222511529922485, -0.11618220061063766, 0.26564767956733704, -0.03869037330150604, 0.7998164892196655, 0.49439001083374023, 0.11408478021621704, 1.3266013860702515, 0.8487528562545776, -0.09144396334886551, -0.9589064121246338, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.104605533182621, -0.11433762311935425, 0.24069984257221222, -0.06499951332807541, 0.8048427700996399, 0.5373197793960571, 0.14547379314899445, 1.315535306930542, 0.8336607217788696, -0.08364902436733246, -1.0699480772018433, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.11670795828104019, -0.12046220898628235, 0.2557487487792969, -0.07956165075302124, 0.8267298340797424, 0.5184769034385681, 0.12118671089410782, 1.3574131727218628, 0.852622926235199, -0.08331388235092163, -1.0202691555023193, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.033176977187395096, -0.11043678969144821, 0.21717476844787598, -0.007889317348599434, 0.9216775298118591, 0.5443876385688782, 0.12711642682552338, 1.4345757961273193, 0.8745201826095581, -0.1430852711200714, -1.3464131355285645, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.07098386436700821, -0.040347885340452194, 0.21955449879169464, -0.03204667940735817, 1.1055099964141846, 0.6310394406318665, 0.16689825057983398, 1.615088701248169, 0.953189492225647, -0.07807698845863342, -1.5555126667022705, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.11543677747249603, -0.11826913058757782, 0.2425011396408081, -0.09948249906301498, 0.8176653981208801, 0.5317499041557312, 0.13178284466266632, 1.3278441429138184, 0.8374693393707275, -0.08520030975341797, -1.0631470680236816, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.11731600016355515, -0.12051001191139221, 0.2429136484861374, -0.10566719621419907, 0.8227214813232422, 0.5335534811019897, 0.13178259134292603, 1.3332531452178955, 0.8380160331726074, -0.08379815518856049, -1.065926194190979, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
1
3.5
2
6.25
-5
10
Ses05F_impro02_F023
I know. I know it's not fair.
10
sad
0.675
1,782
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
1
3.5
2
[ { "feats": [ 0.05097390338778496, -0.13404692709445953, 0.2756652235984802, 0.046972960233688354, 0.8292070031166077, 0.538844883441925, 0.1032404825091362, 1.3384047746658325, 0.8668167591094971, -0.12495815753936768, -1.041316270828247, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.11063412576913834, -0.2711181938648224, 0.21042191982269287, -0.03342393785715103, 0.9023187756538391, 0.43228211998939514, 0.1859387904405594, 1.4043389558792114, 0.9287899136543274, 0.003358366433531046, -1.0246775150299072, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.09359333664178848, -0.24325136840343475, 0.2151830643415451, 0.010222388431429863, 0.9291092753410339, 0.4869469702243805, 0.1963113248348236, 1.3792170286178589, 0.8948845863342285, -0.0026146427262574434, -1.1098718643188477, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.10635390877723694, -0.2971230745315552, 0.21195530891418457, -0.045198917388916016, 0.8622549176216125, 0.3759212791919708, 0.14539997279644012, 1.4065250158309937, 0.9224346876144409, -0.0015295841731131077, -0.9147667288780212, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.11138065159320831, -0.27091309428215027, 0.21454685926437378, -0.0029281286988407373, 0.9202526211738586, 0.46554550528526306, 0.19982388615608215, 1.383897304534912, 0.9133539199829102, 0.0043016718700528145, -1.0896583795547485, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.11603894084692001, -0.2975630462169647, 0.2159564197063446, -0.03654470667243004, 0.9037224054336548, 0.4114963710308075, 0.1746426671743393, 1.4284672737121582, 0.9331414699554443, 0.011902923695743084, -0.9809278249740601, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.23034779727458954, -0.18541938066482544, 0.21815860271453857, -0.10693792253732681, 1.4269315004348755, 0.53775554895401, 0.1958242654800415, 1.8432505130767822, 1.235335111618042, 0.07055304944515228, -1.4802515506744385, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.21543709933757782, -0.0946042388677597, 0.3455009460449219, -0.32630497217178345, 1.5994951725006104, 0.6987050771713257, 0.3999021351337433, 2.0019543170928955, 1.3550033569335938, -0.03731429576873779, -1.7614177465438843, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.1087370365858078, -0.2702248692512512, 0.21314744651317596, -0.03162919729948044, 0.9065665006637573, 0.43756523728370667, 0.18529590964317322, 1.404923677444458, 0.9316785931587219, -0.0008941039559431374, -1.0244019031524658, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.10821783542633057, -0.2703590393066406, 0.210591122508049, -0.03238596394658089, 0.9027215242385864, 0.4318382740020752, 0.18407271802425385, 1.4023537635803223, 0.9288897514343262, 0.0030541489832103252, -1.0226482152938843, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
1.5
1.5
1.5
1.25
-3.75
10
Ses05F_impro02_F024
Well, apparently nobody else can go.
10
sad
0
7,743
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
1.5
1.5
[ { "feats": [ 0.09426497668027878, -0.17526695132255554, 0.2105635106563568, 0.044624678790569305, 0.9443791508674622, 0.4604261517524719, 0.11215980350971222, 1.3960483074188232, 0.9372569918632507, 0.0011231008684262633, -1.098973274230957, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }