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
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.14084725081920624, -0.1669505089521408, 0.10303978621959686, 0.09094222635030746, 1.0776761770248413, 0.6047657132148743, 0.22299088537693024, 1.3838883638381958, 1.1422113180160522, -0.23544162511825562, -0.9305679798126221, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.0449582077562809, -0.19329819083213806, 0.18229608237743378, 0.1894550770521164, 1.18222177028656, 0.5907061100006104, 0.18780556321144104, 1.4703651666641235, 1.1116796731948853, -0.23230333626270294, -0.9649982452392578, 0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.15370699763298035, -0.2213822454214096, 0.07410149276256561, 0.048608843237161636, 1.0771363973617554, 0.4313487410545349, 0.14999593794345856, 1.5365170240402222, 1.1987321376800537, -0.3033702075481415, -0.9270095825195312, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.09555811434984207, -0.1745859831571579, 0.14261849224567413, 0.13100944459438324, 1.1401976346969604, 0.5978148579597473, 0.17547649145126343, 1.4428249597549438, 1.1572885513305664, -0.24186839163303375, -0.9598996639251709, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.1631643921136856, -0.188829243183136, 0.06543391942977905, 0.027568604797124863, 1.0647552013397217, 0.5052441954612732, 0.15000346302986145, 1.535237431526184, 1.1733815670013428, -0.29005706310272217, -0.9723019003868103, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.3320605158805847, -0.06337232142686844, 0.3788825571537018, -0.39143040776252747, 1.3005200624465942, 0.714345395565033, 0.49882224202156067, 1.8023157119750977, 1.2349332571029663, -0.12319252640008926, -1.2466704845428467, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.2899186611175537, -0.3524722158908844, 0.34119993448257446, -0.4640257954597473, 1.5419585704803467, 0.5773714184761047, 0.5370636582374573, 1.820963978767395, 1.1494057178497314, 0.11066737771034241, -1.522890567779541, 0.19...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.1462348997592926, -0.17644649744033813, 0.10627733170986176, 0.08618253469467163, 1.0839976072311401, 0.6088820099830627, 0.21981951594352722, 1.3851944208145142, 1.1517149209976196, -0.2538872957229614, -0.9361895322799683, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.13139872252941132, -0.16571246087551117, 0.1042635440826416, 0.09474746137857437, 1.082312822341919, 0.6038471460342407, 0.22206149995326996, 1.3821007013320923, 1.1414978504180908, -0.2301514744758606, -0.9332742094993591, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
3
2.5
2
3.75
0
1
Ses01M_impro06_M020
What?
1
sad
1.2
6,745
0.342865
null
null
0.942809
0.471405
0.471405
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.0008642710163258016, -0.22539758682250977, 0.2547750473022461, 0.133318692445755, 1.2159119844436646, 0.6571868062019348, 0.22572995722293854, 1.4347251653671265, 1.1418465375900269, -0.26669901609420776, -0.9987399578094482, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.004801787436008453, -0.2154940366744995, 0.275529146194458, -0.08007492870092392, 1.6548433303833008, 0.8522198796272278, 0.4066203236579895, 1.6314882040023804, 1.1783342361450195, 0.06168762966990471, -1.8240550756454468, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.011920705437660217, -0.25297483801841736, 0.24333444237709045, -0.002535728272050619, 1.7253144979476929, 0.8750747442245483, 0.4055195748806, 1.8510721921920776, 1.1806402206420898, 0.023435991257429123, -1.7654061317443848, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.028440700843930244, -0.27964267134666443, 0.28641030192375183, -0.09726355224847794, 1.7389289140701294, 0.7993147373199463, 0.33160966634750366, 1.7881994247436523, 1.2228502035140991, 0.11299578100442886, -1.716812252998352, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.014865036122500896, -0.2131647914648056, 0.26281070709228516, -0.04616428539156914, 1.677234172821045, 0.8810197114944458, 0.4065049886703491, 1.6872906684875488, 1.1797115802764893, 0.06569221615791321, -1.8173621892929077, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.014887616969645023, -0.22451677918434143, 0.2893894910812378, -0.10338395833969116, 1.7263777256011963, 0.8460915684700012, 0.3769175112247467, 1.7171450853347778, 1.205668330192566, 0.07777608186006546, -1.7888219356536865, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.10295892506837845, -0.4273255467414856, 0.4524366855621338, -0.4305535554885864, 2.273707151412964, 0.685562252998352, 0.9156824350357056, 1.9580672979354858, 1.1653634309768677, 0.24135765433311462, -2.5464065074920654, 0.05...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.09121347963809967, -0.40702131390571594, 0.44236326217651367, -0.43504631519317627, 2.2929863929748535, 0.6590232253074646, 0.8981517553329468, 1.912801742553711, 1.1748063564300537, 0.20326828956604004, -2.5724329948425293, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.0008011353202164173, -0.20324420928955078, 0.2487158179283142, -0.04300893098115921, 1.6257688999176025, 0.8394184708595276, 0.3731066584587097, 1.5984770059585571, 1.175990343093872, 0.02897365763783455, -1.7865946292877197, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.005511221941560507, -0.23471006751060486, 0.29584622383117676, -0.1070527508854866, 1.6756343841552734, 0.8583950996398926, 0.4307658076286316, 1.6682186126708984, 1.1773635149002075, 0.0845472440123558, -1.8359463214874268, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2
3.5
2.5
-2.5
1
Ses01M_impro06_M021
Yeah.
1
sad
0.575
6,779
0.335752
null
null
0.942809
0
1.699673
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.05006536468863487, -0.2696196138858795, 0.26639121770858765, -0.06779064983129501, 1.6449848413467407, 0.7652773857116699, 0.3412300646305084, 1.682550072669983, 1.103245735168457, 0.0836372897028923, -1.775648832321167, -0.1...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.15339209139347076, -0.22266849875450134, 0.048691824078559875, -0.01622629724442959, 0.8486636281013489, 0.4195943772792816, 0.09530375152826309, 1.3236830234527588, 0.8077235221862793, -0.1663419008255005, -0.9027701020240784, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.07772614061832428, -0.23226933181285858, 0.04796872287988663, 0.02837838977575302, 0.9360584616661072, 0.4971971809864044, 0.15665268898010254, 1.4126322269439697, 0.8004165887832642, -0.2073785960674286, -1.046438217163086, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.12201669812202454, -0.27730950713157654, 0.10023077577352524, 0.0034341292921453714, 0.9088302254676819, 0.4070815145969391, 0.09128184616565704, 1.3836002349853516, 0.8556485176086426, -0.2024799883365631, -0.8755064606666565, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.14532428979873657, -0.21911852061748505, 0.03919685631990433, 0.0036439835093915462, 0.8455542325973511, 0.4351455271244049, 0.10477244853973389, 1.311152458190918, 0.783797025680542, -0.171451136469841, -0.9379585981369019, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.13874562084674835, -0.22654569149017334, 0.0643969401717186, -0.00863870419561863, 0.8506003022193909, 0.4071846902370453, 0.083633653819561, 1.3104381561279297, 0.8226921558380127, -0.16550128161907196, -0.8826614022254944, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.14082451164722443, -0.11174378544092178, 0.22865571081638336, -0.12511363625526428, 1.579262137413025, 1.0053889751434326, 0.33661091327667236, 2.076554536819458, 1.1655620336532593, -0.19716055691242218, -1.6742254495620728, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.2088969647884369, -0.3140481114387512, 0.23115146160125732, -0.15444046258926392, 1.6307920217514038, 0.9572924375534058, 0.6836578249931335, 1.873744010925293, 1.107708215713501, 0.11044329404830933, -1.9749727249145508, 0.1...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.15209870040416718, -0.22431519627571106, 0.05052134394645691, -0.016201721504330635, 0.8523706197738647, 0.42314472794532776, 0.09594756364822388, 1.3250162601470947, 0.8083720803260803, -0.16814570128917694, -0.9057033658027649, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.1530413180589676, -0.22450825572013855, 0.04831432178616524, -0.01351162325590849, 0.8505586385726929, 0.41908687353134155, 0.09540341049432755, 1.323877215385437, 0.8092178702354431, -0.1672930270433426, -0.9060394763946533, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
2
3
2.5
-1.25
1
Ses01M_impro06_M022
He was a really, really good guy.
1
sad
0.7
3,037
0.424069
null
null
0.816497
0
0.942809
0
null
0
4
3
2.5
2
3
[ { "feats": [ 0.14601339399814606, -0.20363469421863556, 0.03684810921549797, -0.00041447373223491013, 0.8228797912597656, 0.4036480784416199, 0.09817840903997421, 1.242106318473816, 0.779926061630249, -0.14208777248859406, -0.9652740955352783, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.12954625487327576, -0.026167437434196472, 0.18362532556056976, -0.12635637819766998, 0.9245976805686951, 0.43183326721191406, 0.10893362760543823, 1.2189644575119019, 1.0108903646469116, -0.03787486255168915, -1.2890691757202148, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.11699627339839935, -0.04367653653025627, 0.23704056441783905, -0.08611428737640381, 1.0466339588165283, 0.5096370577812195, 0.09351807832717896, 1.3216092586517334, 1.0574198961257935, -0.08346392959356308, -1.4490387439727783, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
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speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.14431409537792206, -0.0227724127471447, 0.2160848081111908, -0.08118662983179092, 0.9763339161872864, 0.48003649711608887, 0.10687225311994553, 1.2698893547058105, 1.0274088382720947, -0.055637575685977936, -1.3757203817367554, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.14556826651096344, -0.02332773618400097, 0.1931769698858261, -0.12965349853038788, 0.9501970410346985, 0.41973039507865906, 0.10418996214866638, 1.2204822301864624, 1.0357129573822021, -0.03709659352898598, -1.300702452659607, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.34423625469207764, -0.29578351974487305, 0.3960660994052887, -0.4338182210922241, 1.7808353900909424, 0.8010077476501465, 0.4478210210800171, 2.171276807785034, 1.228629231452942, -0.06583930552005768, -1.8729404211044312, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.272081196308136, -0.16788727045059204, 0.34258779883384705, -0.41446763277053833, 1.9409050941467285, 1.131827473640442, 0.7343682050704956, 2.403357982635498, 1.16107976436615, -0.12092135846614838, -2.0570461750030518, 0.11...
medium_noise
gaussian_noise
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2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.12685146927833557, -0.027042554691433907, 0.18743032217025757, -0.12736523151397705, 0.9248234629631042, 0.4321739971637726, 0.10746312141418457, 1.214958906173706, 1.0132676362991333, -0.04014520347118378, -1.2927258014678955, ...
volume_down
volume_scale
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2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.12823043763637543, -0.026791023090481758, 0.1840859204530716, -0.12572002410888672, 0.9283906817436218, 0.4317815601825714, 0.10747931152582169, 1.2228835821151733, 1.013102650642395, -0.036881525069475174, -1.290635347366333, ...
volume_up
volume_scale
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2
2.5
2
3.5
2.5
-1.25
1
Ses01M_impro06_M023
A lot of people loved him.
1
sad
0.95
5,040
0.393628
null
null
0.816497
0
1.247219
0
null
0
4
3
2.5
2
3.5
[ { "feats": [ 0.1656494438648224, -0.046407587826251984, 0.1499091386795044, -0.09692861139774323, 0.970496654510498, 0.43844500184059143, 0.08960766345262527, 1.2496533393859863, 1.002772569656372, -0.05302327871322632, -1.3694308996200562, ...
low_pass
low_pass_filter
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.1907454878091812, -0.10885854065418243, 0.13737426698207855, -0.0839417427778244, 0.7974687814712524, 0.41270092129707336, 0.11818817257881165, 1.245750069618225, 0.9302312731742859, -0.016626233235001564, -0.9497057795524597, ...
baseline
baseline
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.1690923571586609, -0.10719742625951767, 0.16386114060878754, -0.04511334374547005, 0.908949077129364, 0.48439183831214905, 0.12907180190086365, 1.3348803520202637, 0.9676100015640259, -0.022451385855674744, -1.0672638416290283, ...
speed_0.9
speed_perturbation
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
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speed_1.1
speed_perturbation
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
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speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
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speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
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light_noise
gaussian_noise
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.09476201236248016, -0.06875146925449371, 0.35378333926200867, -0.37280896306037903, 2.553325891494751, 0.8816701173782349, 0.8418196439743042, 2.179468870162964, 1.2016217708587646, 0.05268367752432823, -3.102407455444336, -0...
medium_noise
gaussian_noise
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
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volume_down
volume_scale
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
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volume_up
volume_scale
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2
1.5
3
3.5
5
-3.75
1
Ses01M_impro06_M024
You know, it's like affecting a lot of people it's not just me, you know?
1
sad
0.75
9,440
0.278214
null
null
0.471405
0.942809
1.247219
0
0
0
4
3
1.5
3
3.5
[ { "feats": [ 0.18930040299892426, -0.13732944428920746, 0.1659591943025589, -0.07354596257209778, 0.8447784781455994, 0.44180744886398315, 0.0861584022641182, 1.2882689237594604, 0.9404419660568237, -0.05466051772236824, -0.9817444682121277, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.011027759872376919, -0.17296713590621948, 0.23039956390857697, -0.12615568935871124, 0.7897878885269165, 0.4324464499950409, 0.09322992712259293, 1.2125370502471924, 0.8290521502494812, -0.11114566773176193, -0.8130828142166138, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ -0.047679051756858826, -0.2536013722419739, 0.20648245513439178, -0.06294161081314087, 0.8801036477088928, 0.4718116521835327, 0.15026593208312988, 1.3358516693115234, 0.7893842458724976, -0.13791467249393463, -0.8216775059700012, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ -0.04489801079034805, -0.25629109144210815, 0.26728731393814087, -0.14586831629276276, 0.9650740027427673, 0.48776528239250183, 0.100002720952034, 1.3984875679016113, 0.9081223011016846, -0.10131214559078217, -0.7731586694717407, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.03626905009150505, -0.14560356736183167, 0.19118142127990723, -0.07722584903240204, 0.764942467212677, 0.46577247977256775, 0.10918138921260834, 1.1882619857788086, 0.8161714673042297, -0.12184055894613266, -0.8792695999145508, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ -0.01687765121459961, -0.20346108078956604, 0.25029629468917847, -0.12876757979393005, 0.8528962731361389, 0.45608800649642944, 0.08932292461395264, 1.3092983961105347, 0.8697401285171509, -0.13170933723449707, -0.8020299673080444, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.27862903475761414, -0.3012881278991699, 0.29025018215179443, -0.32150697708129883, 1.4335144758224487, 0.5358946323394775, 0.5290795564651489, 1.8657798767089844, 1.1137452125549316, -0.007961004041135311, -1.3640708923339844, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.2439202070236206, -0.41412150859832764, 0.3680534362792969, -0.45118463039398193, 1.7297695875167847, 0.5086504220962524, 0.6904860734939575, 1.9097853899002075, 1.2253962755203247, 0.10230626165866852, -1.6250513792037964, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.0015800342662259936, -0.17373234033584595, 0.22806879878044128, -0.12192327529191971, 0.7884172201156616, 0.4315826892852783, 0.09601307660341263, 1.207473874092102, 0.8227915167808533, -0.1129598319530487, -0.8098187446594238, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.011086439713835716, -0.1746121644973755, 0.23079639673233032, -0.12674115598201752, 0.7934173345565796, 0.4338921010494232, 0.09507735818624496, 1.2184323072433472, 0.8305074572563171, -0.10973162949085236, -0.8153831362724304, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
3
2
2.5
2.5
0
1
Ses01M_impro06_M025
Umm...
1
sad
1.175
3,040
0.424069
null
null
0.942809
0
0.816497
0
null
0
4
3
3
2
2.5
[ { "feats": [ 0.02698979713022709, -0.15901678800582886, 0.2248285859823227, -0.08271399885416031, 0.8366678357124329, 0.48900678753852844, 0.10359551012516022, 1.2140899896621704, 0.8742039799690247, -0.13067860901355743, -0.9828873872756958, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.06077949330210686, -0.13753093779087067, 0.1020999550819397, -0.069271981716156, 1.030733585357666, 0.3912828266620636, 0.10881751030683517, 1.0761265754699707, 0.9746366143226624, -0.05670509859919548, -1.4168068170547485, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.020323386415839195, -0.1413438767194748, 0.1367342174053192, -0.07997671514749527, 1.253675103187561, 0.48676395416259766, 0.1441430300474167, 1.3276491165161133, 1.0850353240966797, -0.1051519513130188, -1.5820308923721313, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ -0.009872086346149445, -0.16631311178207397, 0.13922961056232452, -0.0939122885465622, 1.1236095428466797, 0.39179727435112, 0.0784011259675026, 1.2010102272033691, 1.0711365938186646, -0.06784385442733765, -1.4046868085861206, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.05799782648682594, -0.15198108553886414, 0.11033792793750763, -0.0854278951883316, 1.0720927715301514, 0.3966123163700104, 0.12402501702308655, 1.1339117288589478, 0.9629026651382446, -0.06266075372695923, -1.4735310077667236, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.033264368772506714, -0.16169418394565582, 0.11894020438194275, -0.08054706454277039, 1.0535768270492554, 0.3816346824169159, 0.09575565904378891, 1.102088212966919, 1.0039541721343994, -0.05668364465236664, -1.389630913734436, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.289022833108902, -0.21827004849910736, 0.16194763779640198, -0.3215465545654297, 1.6720187664031982, 0.6257659792900085, 0.37011075019836426, 1.7713559865951538, 1.2327786684036255, 0.0030405574943870306, -1.8642723560333252, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.2774350047111511, -0.05958900600671768, 0.2847830057144165, -0.3727160096168518, 1.8915369510650635, 0.9248487949371338, 0.5694049000740051, 2.094301462173462, 1.1520925760269165, -0.052982524037361145, -2.282144546508789, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.054839737713336945, -0.1344578117132187, 0.10028902441263199, -0.06683801859617233, 1.0255804061889648, 0.3954891264438629, 0.10533590614795685, 1.0747028589248657, 0.9745186567306519, -0.06738578528165817, -1.4053188562393188, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.05893727019429207, -0.13784900307655334, 0.10454194992780685, -0.07142803817987442, 1.0425423383712769, 0.39089417457580566, 0.1091613620519638, 1.0869014263153076, 0.9814516305923462, -0.054366324096918106, -1.4252541065216064, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
3
3.5
5
-1.25
1
Ses01M_impro06_M026
For like eight years.
1
sad
1.25
8,851
0.28874
null
null
0.816497
0.471405
1.247219
0
0
0
4
3
2.5
3
3.5
[ { "feats": [ 0.0885944664478302, -0.1942310631275177, 0.1646033525466919, -0.09462656825780869, 1.1157788038253784, 0.3859487771987915, 0.08572874218225479, 1.2248820066452026, 0.9844955801963806, -0.0038337099831551313, -1.4307560920715332, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.014688704162836075, -0.3961981534957886, 0.18328522145748138, -0.11684970557689667, 1.4903465509414673, 0.6904703378677368, 0.4163411855697632, 1.5187605619430542, 1.0634342432022095, 0.12314591556787491, -1.8234614133834839, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.029728084802627563, -0.34217607975006104, 0.1650496870279312, -0.05091612786054611, 1.6841988563537598, 0.7420819997787476, 0.38239923119544983, 1.6928895711898804, 1.1598130464553833, 0.0812629982829094, -1.981283187866211, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.03762558102607727, -0.39111965894699097, 0.19332283735275269, -0.09511522948741913, 1.5554548501968384, 0.6082786917686462, 0.3223494291305542, 1.6280839443206787, 1.149342656135559, 0.12962660193443298, -1.735180377960205, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.006685654167085886, -0.392353355884552, 0.2106153815984726, -0.08519531786441803, 1.6022298336029053, 0.6724393367767334, 0.4468330442905426, 1.5107605457305908, 1.1101566553115845, 0.16838015615940094, -1.9502004384994507, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.053260937333106995, -0.37837544083595276, 0.16810156404972076, -0.10386008024215698, 1.5473501682281494, 0.6475405097007751, 0.35118287801742554, 1.6002516746520996, 1.1349319219589233, 0.11322399228811264, -1.8185969591140747, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.09996908903121948, -0.44528907537460327, 0.42983826994895935, -0.4332321286201477, 2.1673994064331055, 0.6386551856994629, 0.8766120672225952, 1.8985137939453125, 1.1269978284835815, 0.195678249001503, -2.4010109901428223, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.12155681848526001, -0.440218061208725, 0.4329044222831726, -0.4496481716632843, 2.2790181636810303, 0.6259642243385315, 0.9028262495994568, 1.9242497682571411, 1.185409665107727, 0.20775732398033142, -2.5008914470672607, 0.11...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.022940494120121002, -0.361939013004303, 0.15079475939273834, -0.0842231959104538, 1.4637141227722168, 0.6785559058189392, 0.3678876459598541, 1.4785857200622559, 1.0684959888458252, 0.08101505041122437, -1.8190903663635254, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.004407282918691635, -0.4149508774280548, 0.2053530514240265, -0.13750231266021729, 1.5012282133102417, 0.6913888454437256, 0.4410204291343689, 1.5578962564468384, 1.0574668645858765, 0.13741669058799744, -1.8071980476379395, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
1
Ses01M_impro06_M027
Yeah.
1
sad
0.55
3,008
0.436701
null
null
0.816497
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.10117074847221375, -0.4610213041305542, 0.19064083695411682, -0.11373169720172882, 1.618882656097412, 0.6812192797660828, 0.34139978885650635, 1.634860634803772, 1.086502194404602, 0.11056297272443771, -1.936926245689392, -0....
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.17411793768405914, -0.03464800864458084, 0.18664075434207916, -0.040731023997068405, 0.9716406464576721, 0.6055288910865784, 0.3044188618659973, 1.3241161108016968, 0.8381694555282593, -0.05891207233071327, -1.2704938650131226, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.13592585921287537, -0.013661573641002178, 0.21277983486652374, 0.0009579830220900476, 1.090914249420166, 0.6642581224441528, 0.2661200165748596, 1.4345279932022095, 0.9096062779426575, -0.09142772108316422, -1.392137885093689, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.14244292676448822, -0.017672913148999214, 0.21912305057048798, -0.052168603986501694, 0.9897933602333069, 0.593460738658905, 0.23415157198905945, 1.3787294626235962, 0.8994592428207397, -0.07914123684167862, -1.1975774765014648, ...
speed_1.1
speed_perturbation
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2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.1638987809419632, -0.01667066663503647, 0.20565976202487946, -0.006130159832537174, 1.0410770177841187, 0.6182535290718079, 0.3074568808078766, 1.3650403022766113, 0.8726910352706909, -0.07654604315757751, -1.3590583801269531, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.15949663519859314, -0.02920711599290371, 0.20895066857337952, -0.04098086059093475, 1.0059168338775635, 0.5957515835762024, 0.26897722482681274, 1.371504783630371, 0.8789821863174438, -0.07445873320102692, -1.2582582235336304, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.20594383776187897, -0.04964745417237282, 0.3291287422180176, -0.19431744515895844, 1.7282224893569946, 0.7638198733329773, 0.24988175928592682, 2.2106282711029053, 1.1049189567565918, -0.18006503582000732, -1.6447473764419556, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.14891494810581207, 0.2038973867893219, 0.3295442759990692, -0.40380141139030457, 2.096012592315674, 1.2267216444015503, 0.6739307641983032, 2.519374132156372, 1.1337039470672607, -0.449786901473999, -2.2414309978485107, -0.16...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.1715654581785202, -0.03345219045877457, 0.18981415033340454, -0.04145979881286621, 0.9703050851821899, 0.6055802702903748, 0.3030599355697632, 1.321975827217102, 0.837947428226471, -0.060705315321683884, -1.2658008337020874, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.17192794382572174, -0.034547168761491776, 0.18551045656204224, -0.04061199724674225, 0.9746559858322144, 0.6060250401496887, 0.3032761812210083, 1.3259636163711548, 0.8407331109046936, -0.05826747417449951, -1.2722240686416626, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
3.5
2.5
4
3.75
1.25
1
Ses01M_impro06_M028
Yeah, I'm glad I was there. Glad I- glad I got to be there.
1
sad
2.875
10,024
0.204797
-0.333333
0
1.247219
0.471405
1.414214
0
0
0
4
3
3.5
2.5
4
[ { "feats": [ 0.17668481171131134, -0.02423836849629879, 0.21691395342350006, -0.005750067997723818, 1.036193609237671, 0.5912067294120789, 0.2392665445804596, 1.388415813446045, 0.8608553409576416, -0.07220247387886047, -1.3408516645431519, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.1451614797115326, -0.17769505083560944, 0.27816998958587646, -0.017888395115733147, 0.8983390927314758, 0.4857608675956726, 0.20324136316776276, 1.1536189317703247, 0.9572572708129883, -0.16884736716747284, -1.459303379058838, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.1291215568780899, -0.24917036294937134, 0.2202557772397995, 0.08732441812753677, 1.1033381223678589, 0.6306827068328857, 0.2488635927438736, 1.4676203727722168, 1.029064655303955, -0.2045523077249527, -1.5633280277252197, -0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.17643271386623383, -0.23981891572475433, 0.2908558249473572, -0.00962336640805006, 0.9467543959617615, 0.46565014123916626, 0.1585066020488739, 1.251720666885376, 1.0164591073989868, -0.16477267444133759, -1.4190678596496582, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.1587560623884201, -0.21304312348365784, 0.2588648796081543, 0.04095899686217308, 0.9796165823936462, 0.553537905216217, 0.24758656322956085, 1.302398920059204, 0.9706514477729797, -0.20045985281467438, -1.5164247751235962, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.1543789654970169, -0.22699092328548431, 0.27760446071624756, 0.0031671447213739157, 0.9161710739135742, 0.4699065089225769, 0.1811627745628357, 1.1839814186096191, 0.9799935817718506, -0.18413478136062622, -1.4473298788070679, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.17504940927028656, -0.45235520601272583, 0.36528638005256653, -0.41501057147979736, 1.9704844951629639, 0.6924953460693359, 0.8210067749023438, 1.8937335014343262, 1.0738096237182617, 0.1719450056552887, -2.2159435749053955, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.14806817471981049, -0.4084208905696869, 0.42933180928230286, -0.45880892872810364, 2.1968994140625, 0.6669619679450989, 0.9042315483093262, 1.9397941827774048, 1.1340886354446411, 0.22443459928035736, -2.399822473526001, 0.12...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.1359710991382599, -0.17771637439727783, 0.268788605928421, -0.008383517153561115, 0.8772181272506714, 0.4752693474292755, 0.1943993717432022, 1.1161479949951172, 0.943098783493042, -0.17896915972232819, -1.4391053915023804, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.1490968018770218, -0.1807607114315033, 0.2839745283126831, -0.02249458245933056, 0.9136471748352051, 0.4945638179779053, 0.20554940402507782, 1.1815907955169678, 0.9689048528671265, -0.1663253903388977, -1.4701504707336426, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
2.5
3
3.75
-2.5
1
Ses01M_impro06_M029
So weird,
1
sad
0.4
9,891
0.247491
-0.333333
0
0.816497
0.471405
1.247219
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.14223048090934753, -0.2090587466955185, 0.3340710699558258, 0.04794479161500931, 1.0382848978042603, 0.5725845694541931, 0.24103426933288574, 1.328461766242981, 1.021840214729309, -0.22996051609516144, -1.5543315410614014, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }