label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
3.3333
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Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.10841212421655655, -0.23484434187412262, 0.20627927780151367, -0.17388920485973358, 0.7567359209060669, 0.34225431084632874, 0.05556003376841545, 1.3620452880859375, 0.8071858882904053, -0.09139680117368698, -0.6655538082122803, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
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2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.1046363040804863, -0.18250063061714172, 0.1977459043264389, -0.09284726530313492, 0.7915421724319458, 0.3831261098384857, 0.0658562183380127, 1.3315104246139526, 0.7906560897827148, -0.07155156135559082, -0.7544258236885071, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.08931142836809158, -0.2388114035129547, 0.18224327266216278, -0.1478411853313446, 0.762292206287384, 0.3087131083011627, 0.047391846776008606, 1.3591219186782837, 0.8249868154525757, -0.10692481696605682, -0.5728020668029785, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.10730688273906708, -0.21695652604103088, 0.2081628292798996, -0.15430068969726562, 0.7665001749992371, 0.35339006781578064, 0.05811129882931709, 1.341872215270996, 0.7968335151672363, -0.07493574917316437, -0.7095008492469788, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.09891821444034576, -0.23128467798233032, 0.19948478043079376, -0.14916105568408966, 0.7580071091651917, 0.32885244488716125, 0.060039494186639786, 1.3398959636688232, 0.8131659626960754, -0.09929830580949783, -0.6304185390472412, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.058441370725631714, -0.2650359272956848, 0.1568068265914917, -0.13117948174476624, 0.9508352279663086, 0.36362379789352417, 0.0346805602312088, 1.5182760953903198, 0.924189031124115, -0.12147112935781479, -0.8413358330726624, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.08697430044412613, -0.2774686813354492, 0.16152115166187286, -0.13266043365001678, 1.1130781173706055, 0.43424850702285767, 0.05153663828969002, 1.7882369756698608, 1.0170553922653198, -0.16141481697559357, -0.9414850473403931, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.10727377980947495, -0.2329987734556198, 0.20588722825050354, -0.17157094180583954, 0.7574042081832886, 0.3423652946949005, 0.05456121638417244, 1.3606055974960327, 0.8077208399772644, -0.09177130460739136, -0.6655846238136292, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.1077033057808876, -0.234088733792305, 0.2061634659767151, -0.173167422413826, 0.7572578191757202, 0.34266674518585205, 0.05542810633778572, 1.3616262674331665, 0.8075957298278809, -0.09154092520475388, -0.6657792925834656, -0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
3
2.6667
5
0.83325
1
Ses01F_impro03_M020
But the pennies always get you because you end up spending like, you know, fifty bucks.
1
neutral
0.152762
6,698
0.34757
null
null
0.5
0.829156
0.5
0
0
0
4
4
3.3333
3
2.6667
[ { "feats": [ 0.06539121270179749, -0.21700049936771393, 0.17388935387134552, -0.075400710105896, 0.762398898601532, 0.3334389626979828, 0.048210013657808304, 1.2989240884780884, 0.8073725700378418, -0.10788915306329727, -0.6637116074562073, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.20500467717647552, -0.19116780161857605, 0.23079359531402588, -0.13793309032917023, 0.7633442878723145, 0.26216617226600647, 0.06124760955572128, 1.494629144668579, 0.8701380491256714, -0.006337909027934074, -0.5923952460289001, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.162301704287529, -0.1733071208000183, 0.2428809255361557, -0.05112700164318085, 0.7562645077705383, 0.34000450372695923, 0.04105956479907036, 1.3802542686462402, 0.879887580871582, -0.03452851250767708, -0.6069613695144653, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.20626859366893768, -0.21981915831565857, 0.2556045353412628, -0.15273329615592957, 0.7822388410568237, 0.2650657296180725, 0.03436831012368202, 1.533495306968689, 0.9099970459938049, 0.03846900165081024, -0.5124661326408386, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.1891699880361557, -0.18326078355312347, 0.24960245192050934, -0.12663815915584564, 0.7411125302314758, 0.2877424657344818, 0.04593450203537941, 1.419152855873108, 0.8536490797996521, -0.00529173668473959, -0.5935014486312866, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.21276670694351196, -0.21035891771316528, 0.25487637519836426, -0.1633198857307434, 0.7553423047065735, 0.26234978437423706, 0.05141066387295723, 1.4787235260009766, 0.864101231098175, 0.03220327943563461, -0.5532975792884827, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.11327624320983887, -0.17022810876369476, 0.36775919795036316, -0.1121712177991867, 1.097288966178894, 0.5167514085769653, 0.09837599098682404, 1.7676188945770264, 0.9620848298072815, -0.04980139806866646, -0.86917644739151, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.15568366646766663, -0.13996541500091553, 0.4171689450740814, -0.13831272721290588, 1.4312195777893066, 0.7010043263435364, 0.11351196467876434, 2.020096778869629, 1.0713400840759277, -0.0053962585516273975, -1.319556474685669, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.20358805358409882, -0.1907975971698761, 0.23027507960796356, -0.13661718368530273, 0.7605796456336975, 0.26206880807876587, 0.06125533953309059, 1.4894994497299194, 0.8697887063026428, -0.0057133776135742664, -0.5921094417572021, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.2030690312385559, -0.1900380551815033, 0.23029731214046478, -0.13630278408527374, 0.7616577744483948, 0.2620243728160858, 0.06051534786820412, 1.4904778003692627, 0.8702151775360107, -0.0061753434129059315, -0.5916659832000732, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.3333
2.6667
5.83325
0
1
Ses01F_impro03_M021
like, wait, but it's just pennies. You're like, wait a minute I'm on to you.
1
neutral
0.230534
6,498
0.363323
null
null
0.433013
0.707107
0.5
0
0
0
4
4
3
3.3333
2.6667
[ { "feats": [ 0.13677015900611877, -0.18164215981960297, 0.24497368931770325, -0.057368069887161255, 0.8054831027984619, 0.3068612217903137, 0.050054844468832016, 1.4672770500183105, 0.9069700241088867, 0.02841179631650448, -0.5908688902854919, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.08688057214021683, -0.30029550194740295, 0.2932943105697632, -0.11308477073907852, 0.8858574628829956, 0.5655404329299927, 0.02617458626627922, 1.4111257791519165, 0.9393021464347839, -0.16640065610408783, -1.0113425254821777, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.07843479514122009, -0.24272936582565308, 0.22578555345535278, -0.031052066013216972, 0.8746846914291382, 0.5189564228057861, 0.0013276917161419988, 1.32308030128479, 0.8605440855026245, -0.15514159202575684, -0.9896073937416077, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.110136978328228, -0.4130297601222992, 0.3141024112701416, -0.08461935818195343, 0.9770510792732239, 0.6019324660301208, 0.018903415650129318, 1.5414353609085083, 1.0427340269088745, -0.16385291516780853, -0.9538533091545105, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.0716610923409462, -0.25091540813446045, 0.25202077627182007, -0.07711340487003326, 0.8540396690368652, 0.5348171591758728, 0.02113410085439682, 1.333217740058899, 0.8661316633224487, -0.15439215302467346, -1.012140154838562, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.08893650770187378, -0.34821903705596924, 0.310077041387558, -0.11081249266862869, 0.9541531801223755, 0.6063740253448486, 0.03772003948688507, 1.4934002161026, 0.988166868686676, -0.1539984941482544, -1.0287463665008545, -0.0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.12128352373838425, -0.2690368890762329, 0.21057072281837463, -0.06435636430978775, 0.9991257190704346, 0.4753337502479553, -0.0106068579480052, 1.5078929662704468, 1.0305745601654053, -0.12310339510440826, -1.0660830736160278, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.172462597489357, -0.2551845610141754, 0.2513471245765686, -0.1877802014350891, 1.1918705701828003, 0.4924669861793518, 0.0023780525662004948, 1.6631273031234741, 1.10671865940094, -0.07441017776727676, -1.2392315864562988, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.08615255355834961, -0.30344152450561523, 0.29207634925842285, -0.11362331360578537, 0.8884958624839783, 0.5690330266952515, 0.02483575977385044, 1.4117095470428467, 0.9397488832473755, -0.16797728836536407, -1.0103758573532104, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.08565259724855423, -0.301225483417511, 0.29253730177879333, -0.11314614862203598, 0.886344850063324, 0.5664584636688232, 0.025665411725640297, 1.4102959632873535, 0.9396855235099792, -0.16727401316165924, -1.0112390518188477, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.6667
2.6667
2.3333
4.16675
1.66675
1
Ses01F_impro03_M024
That's fair enough.
1
neutral
0.319479
6,501
0.358735
null
null
0.433013
0.433013
0.829156
0
0
0
4
4
3.6667
2.6667
2.3333
[ { "feats": [ 0.058528680354356766, -0.2934771478176117, 0.24258758127689362, -0.0002108798798872158, 0.817473828792572, 0.49033424258232117, 0.034849315881729126, 1.2622568607330322, 0.8904340863227844, -0.149986132979393, -1.0044777393341064, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.1510273814201355, -0.17640574276447296, 0.20087198913097382, -0.08543739467859268, 0.8810811042785645, 0.62671959400177, 0.07553959637880325, 1.560254693031311, 0.8926845192909241, -0.03237368166446686, -0.9095973968505859, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.11238398402929306, -0.11736347526311874, 0.1828705221414566, -0.07426240295171738, 0.8711336255073547, 0.6698940992355347, 0.08944471180438995, 1.5144069194793701, 0.844283401966095, -0.01062376145273447, -0.9467778205871582, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.12597684562206268, -0.1762564331293106, 0.1907852590084076, -0.10839949548244476, 0.8602174520492554, 0.6150861382484436, 0.021235007792711258, 1.5481936931610107, 0.897331953048706, -0.01565760374069214, -0.8008907437324524, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.12566599249839783, -0.1494991034269333, 0.19772332906723022, -0.07607552409172058, 0.8593182563781738, 0.612737774848938, 0.07533909380435944, 1.5061012506484985, 0.8587357997894287, -0.03842991963028908, -0.9365919232368469, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.14124782383441925, -0.19165296852588654, 0.2008175402879715, -0.08402616530656815, 0.874265730381012, 0.6222960352897644, 0.04374741390347481, 1.5546698570251465, 0.8966399431228638, -0.03100254386663437, -0.8559781908988953, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.043098896741867065, -0.14111316204071045, 0.13780787587165833, -0.05170780420303345, 0.9682459235191345, 0.607867419719696, 0.056502848863601685, 1.5740773677825928, 0.9413958787918091, -0.05510948598384857, -1.0284075736999512, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.08926420658826828, -0.19964122772216797, 0.14638273417949677, -0.15747132897377014, 1.025414228439331, 0.65237957239151, 0.10877775400876999, 1.6546093225479126, 0.9590756297111511, -0.007097485475242138, -1.068697214126587, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.1493743509054184, -0.17637339234352112, 0.1995793879032135, -0.08444560319185257, 0.8802719712257385, 0.6279413104057312, 0.07380468398332596, 1.5602562427520752, 0.8925092816352844, -0.03380623832345009, -0.9070066213607788, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.15021052956581116, -0.17596134543418884, 0.20058339834213257, -0.08510781079530716, 0.880683958530426, 0.6274867057800293, 0.07475294917821884, 1.5599709749221802, 0.8926178812980652, -0.03303160145878792, -0.9085747003555298, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3
5
0
2
Ses01F_impro04_F000
Uh, what? Craig's List? Oh the internet thing?
2
neutral
0.075
5,537
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
3
3
3
[ { "feats": [ 0.04603821784257889, -0.11960024386644363, 0.2015155702829361, -0.03303206339478493, 0.848067045211792, 0.6368640065193176, 0.02206704020500183, 1.5463727712631226, 0.903201162815094, -0.04767574742436409, -0.8687847852706909, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.16648538410663605, -0.13496945798397064, 0.21928560733795166, -0.06679755449295044, 0.771364152431488, 0.40912094712257385, 0.09211835265159607, 1.4495631456375122, 0.875898003578186, -0.10465838015079498, -0.8033723831176758, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.12631094455718994, -0.15133900940418243, 0.20280228555202484, -0.05932699143886566, 0.8150279521942139, 0.455396443605423, 0.08426422625780106, 1.445015788078308, 0.8538474440574646, -0.08238787949085236, -0.8539695143699646, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.1431380957365036, -0.1454472541809082, 0.19423910975456238, -0.0622466541826725, 0.7565795183181763, 0.37112337350845337, 0.08463608473539352, 1.420640468597412, 0.8626802563667297, -0.09216485172510147, -0.7306480407714844, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.16680485010147095, -0.1535755693912506, 0.21313932538032532, -0.06050613150000572, 0.7945499420166016, 0.43101462721824646, 0.08543263375759125, 1.435044765472412, 0.8695817589759827, -0.09341954439878464, -0.8449336886405945, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.1654365211725235, -0.1434400975704193, 0.19511397182941437, -0.06102165952324867, 0.7538729310035706, 0.39152398705482483, 0.08386020362377167, 1.4129292964935303, 0.8598931431770325, -0.09856367111206055, -0.77046138048172, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.1981310099363327, -0.2852691411972046, 0.3604455292224884, -0.21121513843536377, 1.1057003736495972, 0.44167035818099976, -0.010256800800561905, 1.8261609077453613, 1.0610154867172241, -0.12437594681978226, -0.9563789367675781, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.21761135756969452, -0.381401002407074, 0.5281328558921814, -0.2518022358417511, 1.3275924921035767, 0.5868595242500305, 0.06841873377561569, 2.059201240539551, 1.1587589979171753, -0.16332940757274628, -1.1415060758590698, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.16648384928703308, -0.13521631062030792, 0.2180488407611847, -0.06627851724624634, 0.7711818814277649, 0.4090273678302765, 0.09198971837759018, 1.4478448629379272, 0.8757171630859375, -0.10408445447683334, -0.8037896752357483, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.1657615303993225, -0.13491223752498627, 0.21893228590488434, -0.06622637063264847, 0.7709833979606628, 0.40899184346199036, 0.09248749166727066, 1.4485607147216797, 0.8759634494781494, -0.10435023903846741, -0.8030737638473511, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
2
Ses01F_impro04_F001
I don't know. Isn't that-- that's all like escort services and things like that.
2
neutral
0.125
3,395
0.421433
-0.333333
0
0.471405
0.471405
0
0
0
null
4
3
2.5
2.5
3
[ { "feats": [ 0.1514984369277954, -0.13322032988071442, 0.19111527502536774, -0.02870911732316017, 0.7518273591995239, 0.40691250562667847, 0.0763184055685997, 1.3413933515548706, 0.8589341640472412, -0.08101268112659454, -0.8249706625938416, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.2290605753660202, -0.08498646318912506, 0.00026245563640259206, -0.10896585881710052, 1.1160733699798584, 0.5967958569526672, 0.21724581718444824, 1.6313706636428833, 1.058388590812683, -0.13494572043418884, -1.455406665802002, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.20676714181900024, -0.1560034453868866, 0.05277064070105553, -0.07912082225084305, 1.1668270826339722, 0.5970633625984192, 0.17113925516605377, 1.6721440553665161, 1.0519614219665527, -0.18398210406303406, -1.5891324281692505, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.1484208106994629, -0.0911945253610611, -0.0669008120894432, -0.07012894004583359, 1.0899856090545654, 0.5778871178627014, 0.18696379661560059, 1.747385859489441, 1.0919119119644165, -0.22684907913208008, -1.3135229349136353, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.2571777403354645, -0.1217753067612648, -0.0007739535649307072, -0.11600829660892487, 1.148284912109375, 0.5656180381774902, 0.20039944350719452, 1.6318103075027466, 1.0369420051574707, -0.12114167958498001, -1.5661108493804932, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.2140466570854187, -0.07085856050252914, -0.018816035240888596, -0.12522540986537933, 1.1230456829071045, 0.5790406465530396, 0.20186348259449005, 1.6810505390167236, 1.0898066759109497, -0.17271475493907928, -1.4154390096664429, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.24728861451148987, -0.10005564242601395, 0.026920609176158905, -0.3226134479045868, 1.7709680795669556, 0.7016524076461792, 0.36491233110427856, 2.0785670280456543, 1.3592529296875, -0.047148991376161575, -2.1104519367218018, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.3270623981952667, -0.04088790342211723, 0.20255227386951447, -0.34321489930152893, 1.954628825187683, 0.6862897872924805, 0.4404098391532898, 1.9323687553405762, 1.2861450910568237, 0.14730079472064972, -2.371814727783203, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.22086316347122192, -0.0757536068558693, 0.006986780092120171, -0.10265059024095535, 1.0982954502105713, 0.5957785844802856, 0.20607613027095795, 1.6096481084823608, 1.059596061706543, -0.1502545028924942, -1.4374053478240967, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.22596955299377441, -0.09054335951805115, -0.0021185765508562326, -0.10681165754795074, 1.127249836921692, 0.5960990190505981, 0.21830184757709503, 1.6436142921447754, 1.0607426166534424, -0.13637903332710266, -1.4627153873443604, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro04_F005
He just...
2
neutral
0.125
3,315
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.17956267297267914, -0.2303798794746399, 0.03466872498393059, -0.07433374971151352, 1.1592551469802856, 0.577846109867096, 0.13793659210205078, 1.637403130531311, 1.0583984851837158, -0.15641233325004578, -1.470918893814087, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.050858475267887115, -0.1747264266014099, 0.18028898537158966, -0.06457646191120148, 0.753491222858429, 0.3551084101200104, 0.1314164102077484, 1.3019485473632812, 0.8260570168495178, -0.09729744493961334, -0.9410737752914429, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.026157505810260773, -0.17516618967056274, 0.20503520965576172, 0.019014110788702965, 0.8282057046890259, 0.4141208529472351, 0.14107155799865723, 1.3600361347198486, 0.8242745995521545, -0.12184175103902817, -0.9960643649101257, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.0042753154411911964, -0.1746217906475067, 0.15064126253128052, -0.04745637997984886, 0.7749600410461426, 0.3295274078845978, 0.14786548912525177, 1.3378477096557617, 0.8580846190452576, -0.10649844259023666, -0.8845398426055908, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.0004498266498558223, -0.1858564168214798, 0.19988016784191132, -0.010402758605778217, 0.8037073016166687, 0.3825242519378662, 0.14122632145881653, 1.3428925275802612, 0.8406038284301758, -0.11265788227319717, -0.9628280997276306, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.0053731887601315975, -0.17515593767166138, 0.1696656495332718, -0.033782873302698135, 0.7815901041030884, 0.3506185710430145, 0.14602018892765045, 1.3544543981552124, 0.8688177466392517, -0.11898351460695267, -0.9330757856369019, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.048161230981349945, -0.238482266664505, 0.07653879374265671, -0.08488805592060089, 0.8634635210037231, 0.32507508993148804, 0.13853609561920166, 1.3556286096572876, 0.8258188366889954, -0.041748203337192535, -0.993554413318634, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.07972702383995056, -0.1956738978624344, 0.1014552041888237, -0.11554273962974548, 0.8479809165000916, 0.3015311360359192, 0.048071496188640594, 1.307759165763855, 0.8164891600608826, -0.027416756376624107, -1.0351872444152832, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.04666544124484062, -0.17485326528549194, 0.17918068170547485, -0.06000141054391861, 0.7546752095222473, 0.35705602169036865, 0.13117729127407074, 1.3050867319107056, 0.8280579447746277, -0.09882186353206635, -0.942169189453125, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.04893018305301666, -0.1752132773399353, 0.18014219403266907, -0.0625837966799736, 0.7541375160217285, 0.35596874356269836, 0.13153403997421265, 1.3035191297531128, 0.8270770311355591, -0.0979704037308693, -0.9415098428726196, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F006
you know what? I heard about that job. I applied for that.
2
neutral
0.35
7,298
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ -0.055566150695085526, -0.21033622324466705, 0.20495307445526123, 0.058250993490219116, 0.8861157298088074, 0.4552885890007019, 0.16965016722679138, 1.4323806762695312, 0.8717220425605774, -0.13215814530849457, -0.983747124671936, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.09215816110372543, -0.12788496911525726, 0.15855784714221954, 0.028569890186190605, 0.9681448936462402, 0.5717512965202332, 0.049311406910419464, 1.4856446981430054, 1.002733588218689, -0.18471305072307587, -0.9772157073020935, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.07442428916692734, -0.10102566331624985, 0.1253543645143509, 0.08916115760803223, 0.8864679932594299, 0.6175903677940369, 0.08776556700468063, 1.3388092517852783, 0.9285132884979248, -0.17202156782150269, -1.048769235610962, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.03940463066101074, -0.1607755422592163, 0.10595240443944931, 0.10235805064439774, 0.9185342192649841, 0.5544785857200623, 0.0039634108543396, 1.432490348815918, 0.9909524321556091, -0.21114404499530792, -0.7817491888999939, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.09778174757957458, -0.11548137664794922, 0.1401386708021164, 0.043929073959589005, 0.9411522746086121, 0.6013084053993225, 0.07029041647911072, 1.4087527990341187, 0.98195880651474, -0.15726028382778168, -1.0402593612670898, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.055129241198301315, -0.14578011631965637, 0.1506454199552536, 0.0685821995139122, 0.9723097681999207, 0.5581174492835999, 0.03820329159498215, 1.5008604526519775, 1.0119973421096802, -0.17328405380249023, -0.8948634266853333, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.09964529424905777, -0.18115060031414032, 0.10891549289226532, -0.1460690051317215, 1.1922805309295654, 0.6453148126602173, 0.26110756397247314, 1.782224178314209, 1.1959583759307861, -0.11059179902076721, -1.1677398681640625, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.18150992691516876, -0.20664909482002258, 0.1651865541934967, -0.20025618374347687, 1.3427480459213257, 0.7057983875274658, 0.2975173890590668, 1.7804783582687378, 1.2818958759307861, -0.06899485737085342, -1.2942779064178467, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08126740157604218, -0.12374895811080933, 0.1554509848356247, 0.043846484273672104, 0.9649328589439392, 0.5734434723854065, 0.04965243861079216, 1.4863173961639404, 1.0012871026992798, -0.18276436626911163, -0.9750286340713501, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08615857362747192, -0.12556041777133942, 0.15627706050872803, 0.03579031676054001, 0.9629771113395691, 0.5710389018058777, 0.04768925532698631, 1.480472207069397, 1.0014790296554565, -0.18427716195583344, -0.9749577641487122, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
2
Ses01F_impro04_F009
Yeah.
2
neutral
0.175
9,374
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.006986290216445923, -0.10625367611646652, 0.1685420423746109, 0.15181787312030792, 0.8476145267486572, 0.6147174835205078, 0.08850491791963577, 1.363593578338623, 0.9311014413833618, -0.19768212735652924, -0.9912163019180298, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.08164890110492706, -0.18668702244758606, 0.18368463218212128, -0.21218852698802948, 0.9133945107460022, 0.4217652678489685, 0.18947236239910126, 1.4717501401901245, 0.8759427070617676, -0.07891916483640671, -0.8994814157485962, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.01469204481691122, -0.12794047594070435, 0.17602013051509857, -0.14838869869709015, 0.9195793271064758, 0.4557134211063385, 0.18910354375839233, 1.4342700242996216, 0.8535737991333008, -0.09685917943716049, -0.9544934630393982, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.017188167199492455, -0.13560715317726135, 0.18930865824222565, -0.17990626394748688, 0.9117186665534973, 0.382306307554245, 0.17182357609272003, 1.4951497316360474, 0.8888218998908997, -0.11429395526647568, -0.8264031410217285, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.07773754000663757, -0.18873606622219086, 0.1752031147480011, -0.1994234025478363, 0.9256885051727295, 0.43779247999191284, 0.19586440920829773, 1.4478873014450073, 0.8708364963531494, -0.06974980980157852, -0.92562335729599, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.06797622889280319, -0.17264318466186523, 0.1909245103597641, -0.2030188888311386, 0.9124680757522583, 0.4058753550052643, 0.19148874282836914, 1.4808785915374756, 0.8884820938110352, -0.09600865095853806, -0.8630085587501526, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.006259608548134565, -0.17790687084197998, 0.1451747715473175, -0.16027304530143738, 1.0897775888442993, 0.3942064046859741, 0.19353584945201874, 1.5128698348999023, 0.9795339703559875, -0.029724236577749252, -1.2188061475753784, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.07081346213817596, -0.2030770182609558, 0.11120839416980743, -0.18569593131542206, 1.0917298793792725, 0.3618001639842987, 0.19793426990509033, 1.5316998958587646, 0.9564445614814758, 0.04325295239686966, -1.2022031545639038, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.08085832744836807, -0.18451808393001556, 0.1829441636800766, -0.2106558233499527, 0.9124270677566528, 0.4207058548927307, 0.18925359845161438, 1.4709850549697876, 0.8759932518005371, -0.08106588572263718, -0.8980144262313843, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.0811302661895752, -0.1857459992170334, 0.1834132820367813, -0.21165816485881805, 0.9126322865486145, 0.42133212089538574, 0.18949873745441437, 1.4710577726364136, 0.8758180737495422, -0.07965882122516632, -0.8989499807357788, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.5
3.5
6.25
0
2
Ses01F_impro04_F013
I just- I mean I call people up and I tell them what I'm good at.
2
neutral
0.35
7,345
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3
3.5
3.5
[ { "feats": [ 0.015786537900567055, -0.17481975257396698, 0.19057461619377136, -0.16721342504024506, 0.9308179020881653, 0.4114326238632202, 0.19837194681167603, 1.4280612468719482, 0.8595499992370605, -0.10966819524765015, -0.9107716083526611, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.041457902640104294, -0.17959745228290558, 0.518950343132019, -0.223040372133255, 1.0777539014816284, 0.6473094820976257, 0.23342517018318176, 1.9360995292663574, 0.9357202649116516, -0.06049312651157379, -0.7801088094711304, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.0933181494474411, -0.08943341672420502, 0.3478986322879791, -0.21936404705047607, 1.0027092695236206, 0.702034056186676, 0.2172318398952484, 1.6120516061782837, 0.884693443775177, -0.19930143654346466, -0.9369314908981323, 0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.010323794558644295, -0.16213388741016388, 0.517855167388916, -0.21208542585372925, 1.1266098022460938, 0.6222151517868042, 0.15246202051639557, 2.045926809310913, 1.046006202697754, -0.07792388647794724, -0.7518060803413391, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.02531583420932293, -0.17144916951656342, 0.3899379372596741, -0.2065710425376892, 0.950208306312561, 0.6171317100524902, 0.26581186056137085, 1.6651934385299683, 0.8526740670204163, -0.08080936223268509, -0.8598094582557678, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.030889473855495453, -0.15907792747020721, 0.5524064302444458, -0.18864846229553223, 1.1389538049697876, 0.6699959635734558, 0.22158527374267578, 2.0294582843780518, 1.0606398582458496, -0.08165816217660904, -0.8074703812599182, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.1128121092915535, -0.08280433714389801, 0.48811787366867065, -0.21858914196491241, 1.1566572189331055, 0.5755732655525208, 0.18075111508369446, 1.9798625707626343, 1.2241127490997314, -0.22246870398521423, -0.8822304010391235, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.19415868818759918, -0.10789704322814941, 0.5033207535743713, -0.15579144656658173, 1.3009154796600342, 0.6805399656295776, 0.25807809829711914, 2.173229217529297, 1.2024506330490112, -0.298794686794281, -0.860322892665863, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.03980918973684311, -0.17648640275001526, 0.5090166330337524, -0.22571836411952972, 1.07099449634552, 0.6407389640808105, 0.22886371612548828, 1.923645257949829, 0.9275636672973633, -0.06343014538288116, -0.7776296734809875, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.03978933393955231, -0.17849083244800568, 0.513828456401825, -0.2249556928873062, 1.075194001197815, 0.6448656320571899, 0.23096522688865662, 1.9292196035385132, 0.9320430159568787, -0.06174278259277344, -0.7800908088684082, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
2
Ses01F_impro04_F014
Yeah.
2
neutral
0.25
8,729
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
2.5
[ { "feats": [ 0.0754752829670906, -0.14882802963256836, 0.39785242080688477, -0.21411189436912537, 0.989196240901947, 0.5659447908401489, 0.22641238570213318, 1.6189841032028198, 0.9247092008590698, -0.12147405743598938, -0.920187771320343, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }