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
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1272130310535431, -0.08497070521116257, 0.15148159861564636, -0.0910995677113533, 1.0732736587524414, 0.5470457673072815, 0.23661336302757263, 1.4267243146896362, 1.070312261581421, -0.015242451801896095, -1.435246467590332, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10547977685928345, -0.05870663374662399, 0.15263116359710693, -0.07653797417879105, 1.1180707216262817, 0.5716915726661682, 0.23363327980041504, 1.406917691230774, 1.0524482727050781, -0.008952239528298378, -1.5235141515731812, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08268385380506516, -0.1201179176568985, 0.1408092975616455, -0.08626101166009903, 0.9968303442001343, 0.4917576313018799, 0.20169363915920258, 1.3321568965911865, 1.044939398765564, -0.038417331874370575, -1.2962231636047363, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.12708577513694763, -0.07619067281484604, 0.15767468512058258, -0.09806694835424423, 1.1253522634506226, 0.5725589990615845, 0.23594549298286438, 1.4469314813613892, 1.084449052810669, -0.016880793496966362, -1.502528429031372, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10001099854707718, -0.10192910581827164, 0.16634805500507355, -0.08708861470222473, 1.0546817779541016, 0.5282160639762878, 0.22208309173583984, 1.4080250263214111, 1.0721899271011353, -0.015014936216175556, -1.373908281326294, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.19512492418289185, -0.178579643368721, 0.17314478754997253, -0.17179590463638306, 1.394737958908081, 0.5875492095947266, 0.24615436792373657, 1.786395788192749, 1.2070852518081665, 0.06506665050983429, -1.7329360246658325, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.22631579637527466, -0.12227541953325272, 0.25808194279670715, -0.1650126576423645, 1.5455175638198853, 0.6851959228515625, 0.27823659777641296, 1.8282188177108765, 1.0818232297897339, -0.016918865963816643, -1.764037847518921, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.12457457184791565, -0.08539431542158127, 0.15228931605815887, -0.09065679460763931, 1.0755115747451782, 0.5465819835662842, 0.2359260469675064, 1.4300763607025146, 1.072953701019287, -0.01651284098625183, -1.43403959274292, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1255263388156891, -0.08458341658115387, 0.1506384015083313, -0.0899534747004509, 1.0722039937973022, 0.5462198257446289, 0.23593886196613312, 1.424489974975586, 1.0707426071166992, -0.015861395746469498, -1.4339135885238647, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
2
Ses01M_impro02_F009
I don't even know what to tell you.
2
sad
0.625
7,354
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11339519172906876, -0.11548587679862976, 0.16548243165016174, -0.06788688153028488, 1.1417064666748047, 0.5570201277732849, 0.20657879114151, 1.4804794788360596, 1.0939254760742188, 0.009042689576745033, -1.4769693613052368, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.1588265746831894, -0.25090107321739197, 0.14153729379177094, -0.029521454125642776, 1.0642585754394531, 0.5073617696762085, 0.2351759523153305, 1.260666847229004, 0.9618346691131592, -0.032167959958314896, -1.4945416450500488, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.11812323331832886, -0.2356959879398346, 0.11800253391265869, -0.013793393969535828, 1.0432217121124268, 0.5026624202728271, 0.25581249594688416, 1.1458988189697266, 0.9450594782829285, -0.01734280027449131, -1.5527392625808716, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.10301680862903595, -0.27129068970680237, 0.1352887600660324, -0.014341816306114197, 0.9263464212417603, 0.4398237466812134, 0.19827717542648315, 1.1274542808532715, 0.9154517650604248, -0.0257432721555233, -1.3006131649017334, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.15685614943504333, -0.2539336085319519, 0.13783712685108185, -0.016657713800668716, 1.0736876726150513, 0.5078670978546143, 0.25566792488098145, 1.2325841188430786, 0.9540802240371704, -0.02259736694395542, -1.5473599433898926, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.13134336471557617, -0.2674376666545868, 0.15048500895500183, -0.014331777580082417, 1.0077818632125854, 0.4794851541519165, 0.2280290275812149, 1.2273391485214233, 0.9555433392524719, -0.026006339117884636, -1.4073220491409302, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.18119893968105316, -0.22635480761528015, 0.08510850369930267, -0.23020662367343903, 1.545856237411499, 0.49709352850914, 0.18806485831737518, 1.627997875213623, 1.2644785642623901, 0.04445280134677887, -1.9668526649475098, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.29538270831108093, -0.1974564492702484, 0.15960775315761566, -0.30151018500328064, 1.8384374380111694, 0.6002349257469177, 0.13828782737255096, 1.8146535158157349, 1.4080235958099365, 0.030012760311365128, -2.2385432720184326, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.15663175284862518, -0.25168517231941223, 0.14283958077430725, -0.02928481251001358, 1.0636094808578491, 0.5066407322883606, 0.23466460406780243, 1.2585164308547974, 0.9622238278388977, -0.03312896937131882, -1.4904273748397827, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.15644808113574982, -0.24975740909576416, 0.14162921905517578, -0.02873801812529564, 1.0621925592422485, 0.5062617063522339, 0.2344791293144226, 1.2579395771026611, 0.961389422416687, -0.03292469307780266, -1.4914777278900146, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
2.5
3
3.75
-1.25
2
Ses01M_impro02_F010
What about the birthday party?
2
sad
0.775
7,355
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.13845187425613403, -0.24125763773918152, 0.12292516976594925, -0.02665136568248272, 1.047067642211914, 0.4662582576274872, 0.220514714717865, 1.1948212385177612, 0.9638418555259705, 0.010632512159645557, -1.5113193988800049, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.04925116151571274, -0.1671079844236374, 0.22655647993087769, -0.1676701456308365, 1.0932279825210571, 0.6173862218856812, 0.21065275371074677, 1.1819077730178833, 0.9721665978431702, -0.1149524673819542, -1.6073648929595947, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.044946398586034775, -0.13956357538700104, 0.22532576322555542, -0.14327466487884521, 1.1473214626312256, 0.6379225254058838, 0.2042388617992401, 1.2498315572738647, 0.9411553144454956, -0.15200674533843994, -1.616629958152771, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.025772983208298683, -0.15306086838245392, 0.2017771452665329, -0.1409444659948349, 1.0323983430862427, 0.5619255304336548, 0.18131151795387268, 1.0986055135726929, 0.9810566902160645, -0.13741900026798248, -1.5239886045455933, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.07237667590379715, -0.1711748093366623, 0.21124066412448883, -0.17402499914169312, 1.103182315826416, 0.6169788241386414, 0.21450351178646088, 1.1863963603973389, 0.9442563652992249, -0.11542032659053802, -1.6473397016525269, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.06685420125722885, -0.1604505181312561, 0.225769504904747, -0.1769554615020752, 1.0711792707443237, 0.5950143337249756, 0.2075255960226059, 1.1577870845794678, 0.970498263835907, -0.11695922911167145, -1.5710256099700928, 0.0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.08357495814561844, -0.24907149374485016, 0.16494308412075043, -0.344333678483963, 1.6518830060958862, 0.6428027153015137, 0.2593251168727875, 1.7582323551177979, 1.2177512645721436, 0.05668581277132034, -2.116107225418091, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.12066886574029922, -0.1842096894979477, 0.2062520831823349, -0.29771700501441956, 1.6878933906555176, 0.7299824953079224, 0.39493265748023987, 1.7095963954925537, 1.1526507139205933, 0.05833277478814125, -2.2422406673431396, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.048345454037189484, -0.16707512736320496, 0.22667600214481354, -0.16778022050857544, 1.0940146446228027, 0.617799699306488, 0.21009086072444916, 1.1816333532333374, 0.973921537399292, -0.11650771647691727, -1.6048312187194824, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.04792681708931923, -0.16726422309875488, 0.22566047310829163, -0.16645821928977966, 1.0911864042282104, 0.6154797673225403, 0.2098718136548996, 1.1775070428848267, 0.9714380502700806, -0.11478453129529953, -1.6049877405166626, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
3
3.5
3.5
6.25
0
2
Ses01M_impro02_F013
You're going with the same ones?
2
sad
2.25
9,422
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.029014620929956436, -0.17840959131717682, 0.2349458634853363, -0.1515633761882782, 1.1378562450408936, 0.6215320825576782, 0.2196224331855774, 1.2107148170471191, 0.9853131175041199, -0.07487453520298004, -1.651588797569275, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.11819057166576385, -0.074166439473629, 0.013181209564208984, -0.08305714279413223, 0.9106114506721497, 0.5427330136299133, 0.14231880009174347, 1.2331647872924805, 0.9557391405105591, -0.1382901668548584, -1.3798656463623047, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.17305369675159454, -0.0966537818312645, 0.1128462702035904, -0.08907884359359741, 1.1155929565429688, 0.5748986005783081, 0.15455901622772217, 1.3422619104385376, 1.0222070217132568, -0.1231350228190422, -1.5594696998596191, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.08322173357009888, -0.07078598439693451, 0.02262173220515251, -0.0920904129743576, 0.8575171232223511, 0.4779357612133026, 0.07687944173812866, 1.174972653388977, 0.9737988710403442, -0.16533857583999634, -1.2811925411224365, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.18750663101673126, -0.09073653817176819, 0.07488685101270676, -0.08647120743989944, 0.9960731863975525, 0.5445564985275269, 0.15121830999851227, 1.2446085214614868, 0.9741761684417725, -0.10751251876354218, -1.4619940519332886, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.12871630489826202, -0.08555442094802856, 0.0292781051248312, -0.09230577200651169, 0.9065653681755066, 0.49671220779418945, 0.1064847782254219, 1.2128398418426514, 0.9570896625518799, -0.13052238523960114, -1.3337676525115967, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.2676449716091156, -0.14090146124362946, 0.19118396937847137, -0.2727919816970825, 1.8536128997802734, 0.8417679071426392, 0.3349228501319885, 2.203057289123535, 1.3445091247558594, 0.08625687658786774, -2.105729579925537, -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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.16483400762081146, -0.09142380207777023, 0.25384271144866943, -0.34478601813316345, 1.9975390434265137, 0.8314605355262756, 0.5374149680137634, 2.1259758472442627, 1.2808482646942139, 0.11294209212064743, -2.3686070442199707, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.11976301670074463, -0.0741630420088768, 0.016553619876503944, -0.08239845931529999, 0.9176483750343323, 0.5437517762184143, 0.14158672094345093, 1.2395896911621094, 0.9592223763465881, -0.13952715694904327, -1.3793830871582031, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.1160687729716301, -0.07405337691307068, 0.012931913137435913, -0.08177526295185089, 0.9150436520576477, 0.5432758331298828, 0.142432302236557, 1.2360128164291382, 0.9606698155403137, -0.1400754153728485, -1.3835031986236572, ...
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
2
Ses01M_impro02_F015
It's not the same though.
2
sad
0.55
3,231
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.16411171853542328, -0.1388782560825348, 0.09839220345020294, -0.05063256993889809, 1.0261679887771606, 0.5312220454216003, 0.14549683034420013, 1.3182868957519531, 1.0064319372177124, -0.07438527047634125, -1.4442325830459595, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.09686071425676346, -0.17968744039535522, 0.1455392986536026, -0.09095669537782669, 1.0236977338790894, 0.5680840015411377, 0.16495594382286072, 1.323033332824707, 0.9249918460845947, -0.10015930980443954, -1.2852908372879028, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.0930343046784401, -0.21305744349956512, 0.15801410377025604, -0.0960368737578392, 1.0938206911087036, 0.5813424587249756, 0.1612999439239502, 1.3144664764404297, 0.9184074997901917, -0.047707825899124146, -1.3618543148040771, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.08612396568059921, -0.12807467579841614, 0.13165254890918732, -0.060646902769804, 0.9434990286827087, 0.5347214937210083, 0.1510220468044281, 1.2059738636016846, 0.8946754336357117, -0.10300970077514648, -1.2311519384384155, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.1011490523815155, -0.19752462208271027, 0.1657567173242569, -0.09398998320102692, 1.0713704824447632, 0.5873570442199707, 0.17444626986980438, 1.3535767793655396, 0.9195296168327332, -0.0578276701271534, -1.3347115516662598, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.09914734214544296, -0.14901265501976013, 0.1463693380355835, -0.0738811194896698, 0.9967003464698792, 0.5379165410995483, 0.14505966007709503, 1.2912906408309937, 0.9233190417289734, -0.09870730340480804, -1.277683138847351, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.1539965718984604, -0.25982898473739624, 0.021989280357956886, -0.22925855219364166, 1.4485728740692139, 0.558509111404419, 0.22506804764270782, 1.757434368133545, 1.0467218160629272, 0.0893378034234047, -1.785587191581726, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.1657429337501526, -0.2184116393327713, 0.06596088409423828, -0.29586532711982727, 1.6384459733963013, 0.6507418155670166, 0.28210675716400146, 1.953769326210022, 1.1468509435653687, 0.09131275117397308, -1.9424285888671875, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.09693671762943268, -0.1797771453857422, 0.14557884633541107, -0.0907054916024208, 1.0230554342269897, 0.5686370730400085, 0.16524522006511688, 1.3199560642242432, 0.925045371055603, -0.10132098942995071, -1.2832441329956055, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.09641633182764053, -0.17992016673088074, 0.14477501809597015, -0.09024737775325775, 1.022565484046936, 0.5676710605621338, 0.16486099362373352, 1.3197510242462158, 0.9245606660842896, -0.09984766691923141, -1.2841391563415527, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
4
3.5
3
6.25
2.5
2
Ses01M_impro02_F017
Mm hmm. We'll build a bunker and never come out.
2
sad
4
3,232
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.09403333067893982, -0.2351374477148056, 0.17011235654354095, -0.0694429948925972, 1.0668432712554932, 0.570344865322113, 0.15333601832389832, 1.311198353767395, 0.9218630790710449, -0.04056878760457039, -1.3040484189987183, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.0693579614162445, -0.14850406348705292, -0.022688446566462517, 0.05631829425692558, 1.1222940683364868, 0.5541411638259888, 0.20901355147361755, 1.2962405681610107, 1.020206332206726, -0.03704594448208809, -1.6473352909088135, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.10418811440467834, -0.1449468582868576, 0.11126148700714111, 0.06491341441869736, 1.3352817296981812, 0.6231873035430908, 0.2172187864780426, 1.3950551748275757, 1.0906884670257568, -0.06463652849197388, -1.783247947692871, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.07179518789052963, -0.15593163669109344, -0.026818307116627693, 0.07549663633108139, 1.182536244392395, 0.5190029740333557, 0.17894288897514343, 1.4636460542678833, 1.0706559419631958, 0.040517352521419525, -1.5801457166671753, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.09639301896095276, -0.15076115727424622, 0.027514329180121422, 0.07588839530944824, 1.1982848644256592, 0.5847917795181274, 0.22833499312400818, 1.3333344459533691, 1.037191390991211, -0.00002301037238794379, -1.691922664642334, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.07759109884500504, -0.15951110422611237, -0.013329939916729927, 0.059613652527332306, 1.1790980100631714, 0.5493941903114319, 0.1805543303489685, 1.4044699668884277, 1.0440202951431274, 0.017071537673473358, -1.6378158330917358, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.206205353140831, -0.06636157631874084, 0.3359948396682739, -0.4464327096939087, 1.8009328842163086, 0.931340754032135, 0.60481196641922, 2.020026683807373, 1.201264500617981, 0.09290319681167603, -2.1144981384277344, -0.08508...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.22510717809200287, -0.24258114397525787, 0.4300728440284729, -0.28059622645378113, 1.9046434164047241, 0.8963101506233215, 0.7954773902893066, 1.8717941045761108, 1.172271490097046, 0.251835435628891, -2.1608452796936035, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.05940437689423561, -0.14497391879558563, -0.02349589578807354, 0.06334397196769714, 1.1220511198043823, 0.5540345311164856, 0.20822156965732574, 1.2959396839141846, 1.0204905271530151, -0.03789813816547394, -1.6396242380142212, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.07240660488605499, -0.15083302557468414, -0.021207008510828018, 0.0529542975127697, 1.1303187608718872, 0.5550854802131653, 0.2095891684293747, 1.3069188594818115, 1.0241023302078247, -0.035813115537166595, -1.652558445930481, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
3
3
3
5
0
2
Ses01M_impro02_F019
Don't say that.
2
sad
1.625
2,856
0.458579
null
null
0
0.471405
0.942809
null
0
0
4
3
3
3
3
[ { "feats": [ 0.11742911487817764, -0.2399035096168518, 0.10468106716871262, 0.06907983124256134, 1.1890279054641724, 0.5428455471992493, 0.21078288555145264, 1.4113421440124512, 0.9753603935241699, 0.05066295713186264, -1.6366679668426514, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.04789632558822632, -0.04793684184551239, 0.21212054789066315, -0.12456390261650085, 1.244149088859558, 0.6432108879089355, 0.28266921639442444, 1.5587626695632935, 0.9801800847053528, -0.08811087906360626, -1.650638461112976, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.19196534156799316, -0.0683303028345108, 0.23215429484844208, -0.08909853547811508, 1.3998782634735107, 0.7264648675918579, 0.27650004625320435, 1.8763419389724731, 1.0300477743148804, -0.14016270637512207, -1.7413253784179688, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.11732154339551926, -0.023408589884638786, 0.2484494149684906, -0.1250169575214386, 1.372029423713684, 0.7054791450500488, 0.25466009974479675, 1.7852869033813477, 1.0702332258224487, -0.17209169268608093, -1.635287880897522, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.09936507046222687, -0.024905027821660042, 0.23899626731872559, -0.13132064044475555, 1.3440396785736084, 0.6909376382827759, 0.2989972233772278, 1.7004340887069702, 1.0168750286102295, -0.09635531157255173, -1.7084827423095703, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.05853594094514847, -0.032550469040870667, 0.216769739985466, -0.10836918652057648, 1.26651132106781, 0.6427310109138489, 0.27306461334228516, 1.6155686378479004, 1.0073320865631104, -0.11381427943706512, -1.6244233846664429, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.09094735234975815, -0.032427698373794556, 0.11534029245376587, -0.24307136237621307, 1.797385334968567, 0.7053456902503967, 0.43762272596359253, 1.9261115789413452, 1.1382315158843994, 0.013218364678323269, -2.4133737087249756, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ 0.1834767609834671, -0.006169099826365709, 0.2815817892551422, -0.4322151839733124, 2.3586111068725586, 0.9408525228500366, 0.6907333135604858, 2.250061511993408, 1.2107493877410889, -0.059226300567388535, -2.878763198852539, 0...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.06485409289598465, -0.044260814785957336, 0.22466808557510376, -0.11961647123098373, 1.2530953884124756, 0.6518505215644836, 0.27820271253585815, 1.575283169746399, 0.9891331195831299, -0.09984366595745087, -1.6427876949310303, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.038980040699243546, -0.053039245307445526, 0.20441065728664398, -0.12766729295253754, 1.2425768375396729, 0.6402338743209839, 0.2839865982532501, 1.5547378063201904, 0.9767046570777893, -0.08522854000329971, -1.654409646987915, ...
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_impro02_M001
I have to go back.
1
sad
0.575
6,518
0.356781
-0.333333
0
0.471405
0
1.247219
0
null
0
4
3
2
2
3.5
[ { "feats": [ -0.11425378173589706, 0.011546830646693707, 0.2982358932495117, -0.151464581489563, 1.3970849514007568, 0.6796279549598694, 0.2844576835632324, 1.773876667022705, 1.0455667972564697, -0.07718754559755325, -1.6765401363372803, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10187331587076187, -0.14709989726543427, 0.06533288210630417, -0.09774930775165558, 1.0403132438659668, 0.5429087281227112, 0.2949582636356354, 1.4327826499938965, 0.9161601662635803, -0.06764676421880722, -1.4358466863632202, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.002480932744219899, -0.21867887675762177, 0.07365013659000397, -0.07350633293390274, 1.1892575025558472, 0.6220569014549255, 0.2876712679862976, 1.6621379852294922, 0.9453636407852173, -0.1069275289773941, -1.5043768882751465, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.03278529271483421, -0.16673633456230164, 0.09106480330228806, -0.07794275879859924, 1.1020517349243164, 0.5708841681480408, 0.2612331807613373, 1.5440980195999146, 0.9344562888145447, -0.14046317338943481, -1.32340669631958, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10442802309989929, -0.1753588616847992, 0.06513161212205887, -0.0966096743941307, 1.0930498838424683, 0.583677351474762, 0.2868991196155548, 1.5148366689682007, 0.9062894582748413, -0.06912354379892349, -1.4568289518356323, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.07216862589120865, -0.1564735472202301, 0.09733279794454575, -0.10629042237997055, 1.071543574333191, 0.5594155192375183, 0.27540123462677, 1.5018174648284912, 0.9304021000862122, -0.09246562421321869, -1.3859325647354126, -0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.2046370804309845, -0.19973373413085938, 0.19420112669467926, -0.30857178568840027, 1.763596773147583, 0.7675508260726929, 0.31232503056526184, 2.145596981048584, 1.098795771598816, -0.042040254920721054, -2.1528878211975098, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.16044193506240845, -0.007266560569405556, 0.3161217272281647, -0.40441709756851196, 2.0082714557647705, 0.9415574669837952, 0.5649885535240173, 2.201756715774536, 1.0885286331176758, -0.16353297233581543, -2.4696624279022217, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.0938866138458252, -0.1498928964138031, 0.07087328284978867, -0.09986899793148041, 1.0364480018615723, 0.5426749587059021, 0.29404258728027344, 1.4305596351623535, 0.9120119214057922, -0.07244399189949036, -1.425126075744629, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10296579450368881, -0.14606808125972748, 0.06293430179357529, -0.09652505069971085, 1.043125033378601, 0.5430585741996765, 0.2934900224208832, 1.4346882104873657, 0.9198660254478455, -0.06570515781641006, -1.4423378705978394, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro02_M002
I just got a letter I have to go back.
1
sad
0.625
9,684
0.253608
-0.333333
0
0.816497
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10989508032798767, -0.17403756082057953, 0.08969883620738983, -0.09687568992376328, 1.0559134483337402, 0.5206041932106018, 0.2488694190979004, 1.4819386005401611, 0.9001961350440979, -0.016240740194916725, -1.3571354150772095, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.049534812569618225, -0.07192284613847733, 0.272136390209198, -0.004655285272747278, 0.6724364161491394, 0.36435478925704956, 0.059720780700445175, 0.8099853992462158, 0.8836721777915955, -0.061002470552921295, -0.9875044226646423, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.08155158907175064, -0.11841187626123428, 0.32168328762054443, -0.02311011403799057, 0.7540719509124756, 0.43218398094177246, 0.08256807178258896, 0.8750755786895752, 0.9065189361572266, -0.06368447095155716, -1.0289746522903442, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.010300145484507084, -0.09777150303125381, 0.2708880305290222, -0.009690762497484684, 0.7164938449859619, 0.3864894211292267, 0.08537831157445908, 0.8751944899559021, 0.9325351119041443, -0.07044832408428192, -1.0044690370559692, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.0909576341509819, -0.08034144341945648, 0.30050405859947205, -0.016615526750683784, 0.7150415182113647, 0.4032052755355835, 0.05983388423919678, 0.8332012295722961, 0.8918494582176208, -0.0541258379817009, -1.023149847984314, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.05740206688642502, -0.08175284415483475, 0.2602970004081726, -0.022639719769358635, 0.6899634599685669, 0.3643788993358612, 0.05445794016122818, 0.807421863079071, 0.898714542388916, -0.060614850372076035, -0.9933768510818481, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.174527108669281, -0.19365036487579346, 0.28326085209846497, -0.18200543522834778, 1.0937763452529907, 0.43374019861221313, 0.1972726434469223, 1.1505073308944702, 1.0457872152328491, 0.07100231200456619, -1.3957737684249878, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.3437694311141968, -0.23181962966918945, 0.4040147662162781, -0.3363371789455414, 1.507574439048767, 0.6423872709274292, 0.3246062994003296, 1.6210161447525024, 1.104743242263794, -0.014376865699887276, -1.6694303750991821, 0....
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.05073763057589531, -0.07390255481004715, 0.2749190330505371, -0.004729230422526598, 0.6738104224205017, 0.3667500615119934, 0.05877482891082764, 0.8139169216156006, 0.8848540782928467, -0.06204940751194954, -0.9859381914138794, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.048270683735609055, -0.07194508612155914, 0.27132007479667664, -0.004730381537228823, 0.673259973526001, 0.3642091453075409, 0.05975685268640518, 0.8110899329185486, 0.8845917582511902, -0.060596007853746414, -0.9896148443222046, ...
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_impro02_M003
First thing tomorrow morning.
1
sad
0.4
8,644
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
2.5
3
[ { "feats": [ 0.06566060334444046, -0.11253751069307327, 0.26339104771614075, -0.04619758948683739, 0.7619196176528931, 0.3703151047229767, 0.05376184359192848, 0.8927351832389832, 0.8936852812767029, -0.04254235327243805, -1.0548938512802124, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.10526236891746521, -0.18360096216201782, 0.17523624002933502, -0.10583841055631638, 0.7969554662704468, 0.4104076325893402, 0.15415842831134796, 1.2097504138946533, 0.8030968308448792, -0.02576332911849022, -1.0504989624023438, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.09246616810560226, -0.1665598452091217, 0.17212511599063873, -0.08905208110809326, 0.782416582107544, 0.42296507954597473, 0.16846585273742676, 1.1852185726165771, 0.8076108694076538, -0.011500527150928974, -1.0955549478530884, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.08695042878389359, -0.2050439566373825, 0.19317808747291565, -0.10989752411842346, 0.799022376537323, 0.3709834814071655, 0.1387806087732315, 1.2043697834014893, 0.8153647184371948, -0.02837972901761532, -0.9899154901504517, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.09849859774112701, -0.18000353872776031, 0.1636926680803299, -0.09694556146860123, 0.7953449487686157, 0.4178934097290039, 0.1591954380273819, 1.1920936107635498, 0.8083268404006958, -0.022806981578469276, -1.0759934186935425, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.11325236409902573, -0.18297140300273895, 0.18166042864322662, -0.10702361166477203, 0.7878445386886597, 0.3879367411136627, 0.1446739137172699, 1.2007454633712769, 0.8062480688095093, -0.02211861126124859, -1.0206750631332397, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.04812565818428993, -0.22797781229019165, 0.14712056517601013, -0.14193658530712128, 1.09765625, 0.38393399119377136, 0.13730427622795105, 1.4338411092758179, 0.9264020323753357, 0.04527238756418228, -1.3347631692886353, 0.023...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.05075940862298012, -0.22309598326683044, 0.2203933596611023, -0.20378361642360687, 1.2996288537979126, 0.4527619779109955, 0.08855962753295898, 1.6253701448440552, 1.0354043245315552, -0.027611028403043747, -1.39892578125, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.10440760105848312, -0.18413127958774567, 0.17598992586135864, -0.1059657409787178, 0.7977417707443237, 0.4104921221733093, 0.15420347452163696, 1.2096978425979614, 0.8040685057640076, -0.026115089654922485, -1.0500609874725342, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.10455220192670822, -0.18373413383960724, 0.17518626153469086, -0.10566633939743042, 0.7964193820953369, 0.4098912179470062, 0.15423619747161865, 1.2085680961608887, 0.8030948638916016, -0.025404341518878937, -1.0499526262283325, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
2
2
3
3
5
-2.5
1
Ses01M_impro02_M007
The National Guard is I guess really spread thin and then everyone has to go. We all have to go back, my whole companies going back.
1
sad
0.625
8,649
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2
3
3
[ { "feats": [ 0.0765710175037384, -0.18055202066898346, 0.15792453289031982, -0.07586841285228729, 0.773490846157074, 0.38467884063720703, 0.12706471979618073, 1.1344977617263794, 0.8016762137413025, -0.022866172716021538, -1.0486187934875488, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }