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
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.14933057129383087, -0.3533450961112976, 0.2586020231246948, -0.07629269361495972, 0.7979441285133362, 0.3541106879711151, 0.007068800739943981, 1.5750466585159302, 0.849431037902832, -0.04879221320152283, -0.6017124652862549, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.10659400373697281, -0.29210638999938965, 0.1922539472579956, -0.04257240146398544, 0.7723681926727295, 0.38064080476760864, 0.019150061532855034, 1.5383573770523071, 0.8376237154006958, -0.043936967849731445, -0.6477394104003906, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.11926279217004776, -0.3463916480541229, 0.254893034696579, -0.0531119778752327, 0.7540075182914734, 0.3251999020576477, -0.021601513028144836, 1.5268867015838623, 0.8365865349769592, -0.047949984669685364, -0.4998464286327362, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.11685854196548462, -0.30555620789527893, 0.23211364448070526, -0.04689629375934601, 0.7971813082695007, 0.36721932888031006, 0.01795933023095131, 1.5823925733566284, 0.8491918444633484, -0.02920893393456936, -0.6222336292266846, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.12741243839263916, -0.36183199286460876, 0.24812614917755127, -0.05657021328806877, 0.7837077975273132, 0.3222123086452484, -0.026911703869700432, 1.5499860048294067, 0.8565854430198669, -0.055764783173799515, -0.5419765710830688, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.09199783951044083, -0.3227723240852356, 0.1947087198495865, -0.014586030505597591, 0.7983925342559814, 0.4071786403656006, -0.048899535089731216, 1.505748987197876, 0.9038779735565186, -0.04156271368265152, -0.6563969254493713, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.06604807078838348, -0.3064998686313629, 0.2183738797903061, -0.01641237363219261, 0.862829864025116, 0.4088703691959381, -0.07921715080738068, 1.5775405168533325, 0.9248279333114624, -0.07065925002098083, -0.658109724521637, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.14782288670539856, -0.34945663809776306, 0.2589470148086548, -0.074148990213871, 0.7986288070678711, 0.3541441857814789, 0.005845151375979185, 1.5764281749725342, 0.8513480424880981, -0.04829400032758713, -0.601036787033081, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.14858224987983704, -0.35137659311294556, 0.2587262988090515, -0.07534117251634598, 0.798345148563385, 0.3542339503765106, 0.006646491587162018, 1.5756030082702637, 0.8504059910774231, -0.04860345646739006, -0.601439356803894, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F011
Clearly everything you're doing is completely wrong.
8
anger
0.075
4,067
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
1.5
4
4.5
[ { "feats": [ 0.07192295789718628, -0.2961016297340393, 0.2019229382276535, 0.009625731036067009, 0.7706793546676636, 0.3191697299480438, -0.007257015444338322, 1.4913583993911743, 0.8592499494552612, -0.03594135865569115, -0.5983649492263794, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.03977527841925621, -0.2689134180545807, 0.11290808022022247, -0.04878581315279007, 0.7512843608856201, 0.4538242816925049, 0.12773771584033966, 1.5580593347549438, 0.753292977809906, 0.008334839716553688, -0.7573364973068237, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.04182004556059837, -0.24936242401599884, 0.09558051079511642, -0.02696904167532921, 0.706612765789032, 0.4673296809196472, 0.14392957091331482, 1.494649052619934, 0.7157068848609924, 0.0031857078429311514, -0.8066197633743286, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.026891998946666718, -0.285895973443985, 0.11252040416002274, -0.045279983431100845, 0.7904140949249268, 0.4477232098579407, 0.12031026184558868, 1.5956813097000122, 0.7598903775215149, 0.0018671551952138543, -0.7051745057106018, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.04293788596987724, -0.2694700360298157, 0.11375569552183151, -0.04054278880357742, 0.7244403958320618, 0.45402735471725464, 0.13362783193588257, 1.5298348665237427, 0.7394554615020752, 0.003557630116119981, -0.7770363688468933, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.034138090908527374, -0.2809441089630127, 0.11297878623008728, -0.04509269818663597, 0.775854229927063, 0.45281869173049927, 0.12270160019397736, 1.5784552097320557, 0.7684130668640137, -0.002079343656077981, -0.7254846096038818, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.014340386725962162, -0.2808537185192108, 0.08048740774393082, -0.043119270354509354, 0.7485262751579285, 0.4647456705570221, 0.14879931509494781, 1.511168360710144, 0.7345534563064575, -0.0006810548366047442, -0.7813178896903992, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.0208752304315567, -0.2598349452018738, 0.07826138287782669, -0.017102280631661415, 0.7814167737960815, 0.4776362478733063, 0.14219117164611816, 1.5531789064407349, 0.7648733854293823, -0.006122414954006672, -0.8094263076782227, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.03968687728047371, -0.26875871419906616, 0.11289903521537781, -0.04871739447116852, 0.7511675357818604, 0.4538975656032562, 0.12763448059558868, 1.5578958988189697, 0.7531630396842957, 0.00841856561601162, -0.7572634220123291, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.03970262408256531, -0.26891854405403137, 0.11291678249835968, -0.048788655549287796, 0.751209020614624, 0.4538246691226959, 0.1276843547821045, 1.5578804016113281, 0.7532505989074707, 0.008389631286263466, -0.7573326826095581, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F013
I don't even- I mean you have to have some kind of an idea. Something you could possibly throw out there that I could maybe use.
8
anger
0
7,749
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.0229464340955019, -0.26414424180984497, 0.09390152990818024, -0.023852895945310593, 0.7299221754074097, 0.44727975130081177, 0.12285363674163818, 1.5364620685577393, 0.742564857006073, 0.014905263669788837, -0.7527011036872864, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.044808775186538696, -0.18301287293434143, 0.12349439412355423, -0.0659184679389, 0.7648913264274597, 0.46888232231140137, -0.030143605545163155, 1.5988017320632935, 0.785729169845581, -0.10908663272857666, -0.494803249835968, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.0016054124571383, -0.2193567305803299, 0.11601590365171432, -0.057848766446113586, 0.7759630680084229, 0.4938800632953644, -0.005544158164411783, 1.571402668952942, 0.7492526769638062, -0.10401490330696106, -0.5620831251144409, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.007678579073399305, -0.1988077014684677, 0.11302561312913895, -0.0175592303276062, 0.8089060187339783, 0.4884353578090668, 0.022352593019604683, 1.5917056798934937, 0.7843251824378967, -0.11088347434997559, -0.4873538911342621, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.028883270919322968, -0.19615525007247925, 0.11968711763620377, -0.0573975145816803, 0.7686812281608582, 0.4829781949520111, -0.029240451753139496, 1.5810670852661133, 0.7760043144226074, -0.11113941669464111, -0.5249508619308472, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.03587722405791283, -0.19191059470176697, 0.10517610609531403, -0.04155709221959114, 0.7636354565620422, 0.4686857759952545, -0.003094238694757223, 1.5725572109222412, 0.7702139019966125, -0.1130741760134697, -0.5121238231658936, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.019325628876686096, -0.1856829673051834, 0.10165553539991379, -0.06388582289218903, 0.7917630672454834, 0.46138060092926025, -0.011942512355744839, 1.5067360401153564, 0.7916233539581299, -0.10764676332473755, -0.621748685836792, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.039157435297966, -0.1693001538515091, 0.10131749510765076, -0.05481727793812752, 0.8588692545890808, 0.49429357051849365, -0.028696101158857346, 1.5808539390563965, 0.8399659991264343, -0.09999576956033707, -0.680144727230072, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.043902136385440826, -0.18384897708892822, 0.12230104953050613, -0.06631999462842941, 0.7653778195381165, 0.46878567337989807, -0.028198283165693283, 1.5986708402633667, 0.7856245636940002, -0.10911013185977936, -0.49444088339805603...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.04451262205839157, -0.18326318264007568, 0.12286674976348877, -0.06612024456262589, 0.7648608684539795, 0.4690669775009155, -0.029437128454446793, 1.5984212160110474, 0.785510241985321, -0.1088990792632103, -0.4950833022594452, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F014
I mean it's not like this is an
8
anger
0
7,641
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.010062364861369133, -0.20888327062129974, 0.10371765494346619, -0.041574232280254364, 0.7483106851577759, 0.48134639859199524, 0.00665867468342185, 1.5147587060928345, 0.7599502801895142, -0.11222048848867416, -0.5404823422431946, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.07506547123193741, -0.1291903555393219, 0.20866860449314117, -0.13940955698490143, 0.6801924109458923, 0.3658146858215332, 0.03402438014745712, 1.3306244611740112, 0.7929182648658752, -0.0826636329293251, -0.8178954124450684, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.061740707606077194, -0.13437169790267944, 0.21925465762615204, -0.09999442845582962, 0.666481614112854, 0.38718488812446594, 0.03575003519654274, 1.2843589782714844, 0.7711042761802673, -0.08953708410263062, -0.8606645464897156, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.026878509670495987, -0.17382289469242096, 0.2430199235677719, -0.08347169309854507, 0.7062085866928101, 0.3344113826751709, 0.024648182094097137, 1.3781694173812866, 0.8115851283073425, -0.06732074916362762, -0.7423962354660034, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.08386637270450592, -0.1257871389389038, 0.21393272280693054, -0.11180754750967026, 0.6871733665466309, 0.38516589999198914, 0.04841221123933792, 1.3178151845932007, 0.7973141670227051, -0.07716935873031616, -0.8448681235313416, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.06696739047765732, -0.15258574485778809, 0.21704332530498505, -0.11580383777618408, 0.6938651204109192, 0.3505682647228241, 0.0267900750041008, 1.358150839805603, 0.7955155968666077, -0.07328929007053375, -0.7688443064689636, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.032495900988578796, -0.18032744526863098, 0.22060467302799225, -0.06274411827325821, 0.7187314033508301, 0.3372866213321686, 0.041224099695682526, 1.3189506530761719, 0.8187538385391235, -0.11263881623744965, -0.8678774833679199, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.05084497109055519, -0.1749485731124878, 0.21700669825077057, -0.08824247121810913, 0.777730405330658, 0.3526290953159332, 0.018876953050494194, 1.366935133934021, 0.8646796941757202, -0.1130761131644249, -0.9155619144439697, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.07375165820121765, -0.12989777326583862, 0.20963524281978607, -0.13888493180274963, 0.6808041334152222, 0.36612918972969055, 0.03404315561056137, 1.3311315774917603, 0.7932078242301941, -0.08213125169277191, -0.8167314529418945, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.07419130951166153, -0.1295923888683319, 0.2092822641134262, -0.13899379968643188, 0.6805468201637268, 0.3658103942871094, 0.033996131271123886, 1.3308520317077637, 0.7929680943489075, -0.08246919512748718, -0.8171323537826538, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F015
extreme request. I want to find a job. Everybody wants to find a job. It's really not that.
8
anger
0
7,761
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.034572452306747437, -0.145633727312088, 0.21626952290534973, -0.09473483264446259, 0.6856378316879272, 0.3498404026031494, 0.031175876036286354, 1.2970554828643799, 0.7863594889640808, -0.08489301055669785, -0.8069441914558411, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.055453673005104065, -0.19654685258865356, 0.2956620454788208, -0.05309191346168518, 0.8251254558563232, 0.5404036045074463, 0.10055182874202728, 1.34157395362854, 0.8787842392921448, -0.057558823376894, -0.6153092980384827, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.10659550130367279, -0.1678784340620041, 0.2677202522754669, -0.04931629076600075, 0.7791612148284912, 0.5980769395828247, 0.11484729498624802, 1.298804521560669, 0.8249596953392029, -0.05993552878499031, -0.6418550610542297, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.09037995338439941, -0.24098654091358185, 0.2985171377658844, -0.06402873992919922, 0.8279504179954529, 0.511787474155426, 0.1093594878911972, 1.3821780681610107, 0.914186954498291, 0.010509890504181385, -0.5220915675163269, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.09227347373962402, -0.16974613070487976, 0.3024929165840149, -0.057065002620220184, 0.8071162104606628, 0.5883148312568665, 0.1111769750714302, 1.3382408618927002, 0.8665059208869934, -0.05852051079273224, -0.6271811723709106, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.07571754604578018, -0.21851995587348938, 0.3037998080253601, -0.07312940061092377, 0.8473351001739502, 0.5233615040779114, 0.08732660114765167, 1.3779408931732178, 0.906208336353302, -0.027228418737649918, -0.5741854310035706, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.08259324729442596, -0.4067208468914032, 0.09813922643661499, -0.23707839846611023, 0.8489605784416199, 0.4729691445827484, 0.14193195104599, 1.3589863777160645, 1.0064349174499512, 0.11116769164800644, -0.5665852427482605, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.05392611771821976, -0.2919810116291046, 0.07871395349502563, -0.17735715210437775, 0.8896434307098389, 0.42450377345085144, 0.03945014625787735, 1.3342061042785645, 1.0096756219863892, 0.10334579646587372, -0.7045376896858215, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.05987728014588356, -0.1968470960855484, 0.29285454750061035, -0.04969564452767372, 0.8259266018867493, 0.5428218245506287, 0.0989869087934494, 1.3402827978134155, 0.8797456622123718, -0.05575951561331749, -0.6146915555000305, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.05690578743815422, -0.19633115828037262, 0.2941547930240631, -0.051742419600486755, 0.824991762638092, 0.5418111681938171, 0.09939295798540115, 1.340499758720398, 0.8792985081672668, -0.05602837726473808, -0.615749716758728, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4
3.5
7.5
-2.5
8
Ses04F_impro04_F016
Okay. Okay, Fine.
8
anger
0.25
2,082
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
4
3.5
[ { "feats": [ -0.10712840408086777, -0.20600441098213196, 0.3180716037750244, -0.017601031810045242, 0.7972976565361023, 0.5400151610374451, 0.12911243736743927, 1.297096610069275, 0.8452916741371155, -0.044465500861406326, -0.5380842089653015, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.1303880363702774, -0.22365997731685638, 0.22059538960456848, -0.020140064880251884, 0.6446619629859924, 0.4453893303871155, 0.06976232677698135, 1.1460216045379639, 0.771761417388916, 0.010980263352394104, -0.6451106071472168, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.13150501251220703, -0.2111513465642929, 0.2237672209739685, 0.02855578064918518, 0.6557294726371765, 0.47525814175605774, 0.07059533149003983, 1.1524592638015747, 0.7595218420028687, 0.02525295503437519, -0.6999911069869995, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.11588124185800552, -0.234384223818779, 0.21398606896400452, -0.04280418902635574, 0.6431272625923157, 0.4134999215602875, 0.07618170231580734, 1.1457194089889526, 0.7783553600311279, 0.03575493022799492, -0.5848261713981628, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.13052526116371155, -0.21549281477928162, 0.2231815606355667, 0.010301238857209682, 0.6491031050682068, 0.45974448323249817, 0.07517184317111969, 1.1323902606964111, 0.7660405039787292, 0.015739284455776215, -0.6833553910255432, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.10892411321401596, -0.2265467792749405, 0.2139483094215393, -0.025515049695968628, 0.6488499045372009, 0.42908918857574463, 0.07076004147529602, 1.1460477113723755, 0.7774374485015869, 0.011360850185155869, -0.6163638234138489, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.10811375081539154, -0.24546556174755096, 0.1379687786102295, 0.0008972554933279753, 0.7284541130065918, 0.4470052421092987, 0.07431294023990631, 1.2038167715072632, 0.8096636533737183, 0.01494143158197403, -0.7153264880180359, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.145936518907547, -0.26951536536216736, 0.09548640251159668, -0.029342059046030045, 0.8473455905914307, 0.46269747614860535, 0.12552905082702637, 1.2689051628112793, 0.8316088318824768, 0.0409855991601944, -0.7955185770988464, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.1296960860490799, -0.223126620054245, 0.21978113055229187, -0.018615012988448143, 0.6443533301353455, 0.44532886147499084, 0.06839323043823242, 1.1460192203521729, 0.7716730237007141, 0.011471504345536232, -0.6442375183105469, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.1299888789653778, -0.22327372431755066, 0.2203676700592041, -0.01938154734671116, 0.6443501710891724, 0.4453243315219879, 0.06925878673791885, 1.1458590030670166, 0.7716531753540039, 0.011290032416582108, -0.6444506645202637, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
8
Ses04F_impro04_F017
Okey So I'm doing something wrong. What am I doing wrong?
8
anger
0.075
6,032
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
1.5
4
4
[ { "feats": [ 0.10860244184732437, -0.22217753529548645, 0.1934613138437271, 0.012899712659418583, 0.6290708780288696, 0.42305296659469604, 0.05311233922839165, 1.1089560985565186, 0.7603908181190491, 0.01898912899196148, -0.629976212978363, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.08055530488491058, -0.1471881866455078, 0.15883876383304596, -0.09123998880386353, 0.7276806235313416, 0.2379000186920166, -0.00745199853554368, 1.2022548913955688, 0.742158830165863, -0.07819867879152298, -0.6880402565002441, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.08015315979719162, -0.12308052182197571, 0.15413936972618103, -0.0470389686524868, 0.7162311673164368, 0.26588112115859985, 0.007485671900212765, 1.142197608947754, 0.7137789130210876, -0.07930728048086166, -0.7543836832046509, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.08077211678028107, -0.15188826620578766, 0.1527409702539444, -0.11119332909584045, 0.7320565581321716, 0.21012099087238312, -0.003653400344774127, 1.1942970752716064, 0.7324221134185791, -0.07372824847698212, -0.6479676961898804, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.07867896556854248, -0.1383924037218094, 0.161445751786232, -0.0659227967262268, 0.7321792244911194, 0.24985484778881073, 0.004556336440145969, 1.1923826932907104, 0.731336236000061, -0.07418487221002579, -0.7150030136108398, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.08308481425046921, -0.159113809466362, 0.14462749660015106, -0.10380639135837555, 0.7391408085823059, 0.23157550394535065, -0.008669581264257431, 1.2183250188827515, 0.748504102230072, -0.0718722715973854, -0.6782988905906677, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.051817383617162704, -0.14875687658786774, 0.12192941457033157, -0.082687146961689, 0.7871335744857788, 0.23193013668060303, 0.036508142948150635, 1.1548858880996704, 0.7652921676635742, -0.09679606556892395, -0.7619107961654663, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.07937341183423996, -0.14713533222675323, 0.12351097911596298, -0.06037694215774536, 0.8060083389282227, 0.23277069628238678, 0.001213818439282477, 1.2092171907424927, 0.78440260887146, -0.1163305789232254, -0.7498071193695068, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.0803692415356636, -0.14542092382907867, 0.1590147614479065, -0.09061715751886368, 0.7287465333938599, 0.2370651215314865, -0.00763699971139431, 1.2030965089797974, 0.7421390414237976, -0.0794181302189827, -0.686407744884491, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.08024626225233078, -0.14629919826984406, 0.15915296971797943, -0.0907943993806839, 0.7281173467636108, 0.23723351955413818, -0.007524124346673489, 1.2022358179092407, 0.7418783903121948, -0.07878050953149796, -0.6873549222946167, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
8
Ses04F_impro04_F018
I'm really good at what I do. I'm smart. I'm trained. I have the education. I'm talented. I cannot-
8
anger
0
7,760
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
1.5
4.5
4.5
[ { "feats": [ 0.06866983324289322, -0.14467327296733856, 0.1429148018360138, -0.05426374077796936, 0.7364819049835205, 0.2295534461736679, 0.003767250571399927, 1.1651268005371094, 0.7370724081993103, -0.08290597796440125, -0.7059868574142456, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.14039714634418488, -0.1487760841846466, 0.20913401246070862, -0.13511833548545837, 1.0485813617706299, 0.714438259601593, 0.03508543595671654, 1.8525362014770508, 0.9908978343009949, -0.24022383987903595, -0.8884313106536865, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.25038057565689087, -0.09697771817445755, 0.22827117145061493, -0.13530007004737854, 1.0748045444488525, 0.7788577079772949, 0.009743799455463886, 1.7659224271774292, 0.9174450039863586, -0.2446550577878952, -0.913756251335144, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.12785375118255615, -0.19345876574516296, 0.19314353168010712, -0.09935343265533447, 1.0667074918746948, 0.7014350891113281, -0.0033628675155341625, 1.8754056692123413, 0.9828855395317078, -0.2450634390115738, -0.7677142024040222, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.1975940614938736, -0.10755447298288345, 0.22924961149692535, -0.12723177671432495, 1.0384219884872437, 0.7201802730560303, 0.002834708197042346, 1.7768986225128174, 0.9551835060119629, -0.2589890658855438, -0.8961620330810547, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.13746821880340576, -0.16815540194511414, 0.19999496638774872, -0.11710361391305923, 1.0422658920288086, 0.6851820945739746, 0.022241340950131416, 1.8664300441741943, 0.9673632383346558, -0.215163916349411, -0.8068048357963562, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.13109822571277618, -0.05957530438899994, 0.1267816424369812, -0.10042797774076462, 1.0174860954284668, 0.7222200632095337, -0.021348802372813225, 1.7757716178894043, 0.9374514222145081, -0.2184707373380661, -0.8690332770347595, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.06883790343999863, -0.10106287896633148, 0.09152387082576752, -0.12875615060329437, 0.988926112651825, 0.6193416118621826, 0.04366157948970795, 1.6922895908355713, 0.8670108914375305, -0.158865824341774, -0.9494804739952087, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.1401957869529724, -0.14728765189647675, 0.20845328271389008, -0.13485155999660492, 1.0473628044128418, 0.7141952514648438, 0.03485524281859398, 1.8508116006851196, 0.9908080697059631, -0.24020469188690186, -0.8881465792655945, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.14033406972885132, -0.14858335256576538, 0.20858736336231232, -0.13517865538597107, 1.0482996702194214, 0.7144952416419983, 0.03488095849752426, 1.8521355390548706, 0.9909490942955017, -0.24019363522529602, -0.8883127570152283, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4
4
7.5
-2.5
8
Ses04F_impro04_F025
Well you- just you're doing something wrong.
8
anger
0.2
286
0.75
-0.5
0
0
0
0
null
null
null
3
2
2
4
4
[ { "feats": [ 0.12270359694957733, -0.07975421100854874, 0.16633500158786774, -0.09532482922077179, 1.0508695840835571, 0.723952054977417, 0.014641987159848213, 1.8145381212234497, 0.9593511819839478, -0.28185805678367615, -0.8632315397262573, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.04258265718817711, -0.16481849551200867, 0.19269834458827972, 0.09415723383426666, 0.7930741906166077, 0.5993155837059021, 0.12300451844930649, 1.345884919166565, 0.8399249911308289, 0.10237520933151245, -1.0530095100402832, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.03218157961964607, -0.16849708557128906, 0.21523180603981018, 0.10404454171657562, 0.7804391980171204, 0.6012417078018188, 0.11572325974702835, 1.3164477348327637, 0.8138866424560547, 0.06982163339853287, -1.083025336265564, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.04743184894323349, -0.19199234247207642, 0.20470872521400452, 0.11024246364831924, 0.7980889081954956, 0.5810866355895996, 0.1147397980093956, 1.3759819269180298, 0.856107234954834, 0.11564669013023376, -0.9746460914611816, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.0327683761715889, -0.16700731217861176, 0.20039623975753784, 0.11486151814460754, 0.8079006671905518, 0.608862578868866, 0.12496379017829895, 1.3511890172958374, 0.8442174196243286, 0.09298914670944214, -1.07869553565979, -0....
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.04549191892147064, -0.1768205165863037, 0.19940046966075897, 0.10656533390283585, 0.7859828472137451, 0.590064287185669, 0.11315915733575821, 1.3528803586959839, 0.8511481881141663, 0.10885567218065262, -1.0097332000732422, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.02930607460439205, -0.18901591002941132, 0.14570002257823944, 0.017035022377967834, 0.8530299067497253, 0.601447343826294, 0.10648400336503983, 1.4015705585479736, 0.8729870319366455, 0.0690317302942276, -1.1523231267929077, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.019797224551439285, -0.22868070006370544, 0.1358632743358612, 0.0035906434059143066, 0.9289497137069702, 0.631384551525116, 0.12171006202697754, 1.4701310396194458, 0.8978098034858704, 0.02533869631588459, -1.2231706380844116, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.04162939637899399, -0.16558554768562317, 0.19405992329120636, 0.09523821622133255, 0.794170081615448, 0.5995750427246094, 0.1231926754117012, 1.3478939533233643, 0.8406509757041931, 0.10288622230291367, -1.05313241481781, 0.0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.04197761416435242, -0.16514964401721954, 0.1932705193758011, 0.09447162598371506, 0.7937098145484924, 0.5994428396224976, 0.1229395791888237, 1.3470203876495361, 0.8403546214103699, 0.10231108218431473, -1.0530614852905273, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
5
8.75
-3.75
8
Ses04F_impro04_F030
What's my problem? What's my problem? I don't have a job.
8
anger
0
4,104
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
1.5
4.5
5
[ { "feats": [ 0.010601046495139599, -0.18145087361335754, 0.2135431170463562, 0.16505998373031616, 0.7950218915939331, 0.5668487548828125, 0.1186034083366394, 1.3416521549224854, 0.8317093253135681, 0.08478578925132751, -1.040534496307373, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.025937439873814583, -0.0061576212756335735, 0.19017289578914642, -0.036910757422447205, 0.8134575486183167, 0.4250754117965698, 0.20475462079048157, 1.5117781162261963, 0.7902944087982178, -0.059628453105688095, -0.811659991741180...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.01654057577252388, -0.009389353916049004, 0.20090648531913757, 0.015593748539686203, 0.9182256460189819, 0.5132179856300354, 0.1694052368402481, 1.5999629497528076, 0.8652521371841431, -0.11011812835931778, -0.8439087867736816, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.06953702867031097, -0.05650883540511131, 0.2159273624420166, -0.030946748331189156, 0.7866818308830261, 0.3520413935184479, 0.15876437723636627, 1.4756847620010376, 0.7899503111839294, -0.06400453299283981, -0.7459325790405273, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.021072721108794212, 0.017712220549583435, 0.18418866395950317, -0.03796011582016945, 0.8626759052276611, 0.47307756543159485, 0.21779626607894897, 1.558974027633667, 0.8198756575584412, -0.05198266729712486, -0.8262374401092529, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.05563035607337952, -0.02862018160521984, 0.2150413542985916, -0.0292398389428854, 0.7972421646118164, 0.3836038112640381, 0.19683852791786194, 1.5011862516403198, 0.7862182855606079, -0.059541333466768265, -0.7836151123046875, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.054776303470134735, -0.05030491203069687, 0.12712496519088745, 0.0021531316451728344, 0.8846845030784607, 0.41891857981681824, 0.1728580743074417, 1.557822346687317, 0.8292655348777771, -0.05674508586525917, -0.9661048054695129, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.01724005863070488, -0.1208849623799324, 0.17568300664424896, -0.07891900092363358, 1.0817131996154785, 0.5008522272109985, 0.2806439995765686, 1.7372280359268188, 0.8808495402336121, -0.1342972069978714, -1.152657151222229, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.026612738147377968, -0.005500066094100475, 0.18947511911392212, -0.03624517470598221, 0.8126578330993652, 0.4243943989276886, 0.20456278324127197, 1.510488510131836, 0.7901117205619812, -0.05930725857615471, -0.8113565444946289, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.02663259766995907, -0.005692394450306892, 0.19010673463344574, -0.03660392016172409, 0.8131247758865356, 0.42465248703956604, 0.2044963389635086, 1.5114542245864868, 0.7904590964317322, -0.05959883704781532, -0.8108887672424316, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
8
Ses04F_impro04_F031
I thought I was pretty clear about what the problem was.
8
anger
0.075
9,304
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
1.5
4
4.5
[ { "feats": [ -0.04936344921588898, -0.020949333906173706, 0.20585420727729797, -0.008966570720076561, 0.8097777366638184, 0.4175281226634979, 0.18265658617019653, 1.4938756227493286, 0.8072834610939026, -0.06864582747220993, -0.772424042224884, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }