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
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.13885077834129333, -0.18279772996902466, 0.08592619746923447, -0.04621119797229767, 0.6425910592079163, 0.32527223229408264, -0.01838541589677334, 1.2562992572784424, 0.818800687789917, -0.00300236907787621, -0.9709808826446533, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.07322727143764496, -0.12302728742361069, 0.10274961590766907, -0.05876864120364189, 0.7110493183135986, 0.34566783905029297, 0.037121858447790146, 1.238422155380249, 0.8069534301757812, -0.07558880001306534, -1.0733182430267334, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.09982390701770782, -0.2068501114845276, 0.07105837017297745, -0.01624564453959465, 0.6481900215148926, 0.3154798448085785, -0.06286472827196121, 1.3270400762557983, 0.8235041499137878, -0.00952440220862627, -0.8852998614311218, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.1149568185210228, -0.16363677382469177, 0.11005323380231857, -0.05798402801156044, 0.6672402620315552, 0.3176402747631073, -0.0019147626589983702, 1.2148581743240356, 0.8007823824882507, -0.021534794941544533, -1.0095458030700684, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.13754519820213318, -0.19314825534820557, 0.0783245712518692, -0.032269034534692764, 0.6495848894119263, 0.3115871548652649, -0.046370480209589005, 1.3098342418670654, 0.8193032145500183, -0.01394357904791832, -0.9356536269187927, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.01413226593285799, -0.25218087434768677, 0.04258781671524048, -0.1144215315580368, 0.9082291126251221, 0.32415515184402466, -0.0853261947631836, 1.4564155340194702, 1.027631163597107, -0.13002075254917145, -1.1621047258377075, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.11177407205104828, -0.327841192483902, 0.052358075976371765, -0.16991277039051056, 1.0536630153656006, 0.33498460054397583, -0.05712363123893738, 1.5111289024353027, 1.0585227012634277, -0.10001300275325775, -1.3255497217178345, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.13917596638202667, -0.18267597258090973, 0.08517657965421677, -0.042669784277677536, 0.6433940529823303, 0.3242014944553375, -0.019172241911292076, 1.2573045492172241, 0.818763792514801, -0.0027514107059687376, -0.9700080156326294,...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.13886265456676483, -0.18332655727863312, 0.08556929975748062, -0.04552231356501579, 0.6431766152381897, 0.32504117488861084, -0.018865222111344337, 1.2574124336242676, 0.8187986612319946, -0.002530390862375498, -0.970392107963562, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
7
Ses04M_impro05_M008
fifty dollars?
7
anger
1.75
8,046
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.09219226241111755, -0.16859158873558044, 0.08153200894594193, -0.03543490171432495, 0.7082912921905518, 0.28247013688087463, -0.033664535731077194, 1.2594398260116577, 0.8143640756607056, -0.06360197067260742, -0.9794827699661255, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.060368187725543976, -0.1871955543756485, 0.15841449797153473, -0.00018009735504165292, 0.6667730212211609, 0.3690569996833801, -0.03050217404961586, 1.3441954851150513, 0.8351062536239624, -0.11289311945438385, -0.812061607837677, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.008495050482451916, -0.15420103073120117, 0.18538330495357513, -0.02879347652196884, 0.683790922164917, 0.4259134829044342, 0.0060552260838449, 1.3147270679473877, 0.8250712752342224, -0.08833365887403488, -0.8936087489128113, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.07652134448289871, -0.17076493799686432, 0.1122400313615799, 0.037158697843551636, 0.6410197019577026, 0.33739063143730164, -0.0717354491353035, 1.3256399631500244, 0.8647376894950867, -0.15552332997322083, -0.7564436197280884, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.03937780484557152, -0.16998077929019928, 0.16997995972633362, -0.004982153419405222, 0.6635464429855347, 0.40000566840171814, -0.020624779164791107, 1.3077802658081055, 0.8208288550376892, -0.09562379866838455, -0.8566038012504578,...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.07192718237638474, -0.18102343380451202, 0.1379372775554657, 0.02707306481897831, 0.6590341329574585, 0.3655945062637329, -0.05825436860322952, 1.354993224143982, 0.8536461591720581, -0.1352350413799286, -0.7814286351203918, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ -0.0554056391119957, -0.24741728603839874, 0.20210522413253784, -0.1107645034790039, 0.7966302633285522, 0.3082426190376282, -0.10913166403770447, 1.521630883216858, 0.9773120284080505, -0.06111190468072891, -0.8452614545822144, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.022889163345098495, -0.2718598246574402, 0.22909832000732422, -0.07223625481128693, 0.9118311405181885, 0.33283406496047974, -0.06941916793584824, 1.6450563669204712, 1.0231651067733765, -0.08418126404285431, -0.9392601251602173, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.05594753473997116, -0.1866580694913864, 0.1599661260843277, 0.0011795874452218413, 0.6686909794807434, 0.3740181624889374, -0.03310150280594826, 1.3470121622085571, 0.8410882353782654, -0.11148863285779953, -0.8120301961898804, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.05762450024485588, -0.18718557059764862, 0.1591198742389679, 0.00047310272930189967, 0.6675999164581299, 0.3719169795513153, -0.03241630643606186, 1.345535159111023, 0.8386117219924927, -0.11167977005243301, -0.8120109438896179, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
7
Ses04M_impro05_M009
fifty dollars. No way, no.
7
anger
1.9
4,268
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.030039802193641663, -0.1534002423286438, 0.16597668826580048, 0.03030162863433361, 0.6293845772743225, 0.36528119444847107, -0.04416302591562271, 1.2498679161071777, 0.8324320912361145, -0.0967385470867157, -0.7955499887466431, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.01773698814213276, -0.0886240005493164, 0.1852087676525116, -0.050075218081474304, 0.792472779750824, 0.4300072193145752, 0.19779346883296967, 1.5991276502609253, 0.8543516397476196, 0.10707273334264755, -0.7192009091377258, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.005459295120090246, -0.09277455508708954, 0.21083562076091766, -0.01631561852991581, 0.8109556436538696, 0.47691282629966736, 0.162485733628273, 1.592050313949585, 0.8718981742858887, 0.04599393159151077, -0.7452535629272461, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.014856667257845402, -0.1162739172577858, 0.15261943638324738, -0.03170701116323471, 0.7703227996826172, 0.3860892951488495, 0.196012943983078, 1.5751655101776123, 0.859149158000946, 0.11859501898288727, -0.7020442485809326, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.012897166423499584, -0.09017448127269745, 0.18510757386684418, -0.04349851235747337, 0.8082888722419739, 0.45097970962524414, 0.21069960296154022, 1.5894192457199097, 0.8542899489402771, 0.09192878752946854, -0.7584525942802429, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.017617346718907356, -0.11053101718425751, 0.17772941291332245, -0.04575566202402115, 0.7628249526023865, 0.39769265055656433, 0.18367473781108856, 1.5813450813293457, 0.840863823890686, 0.11455899477005005, -0.7046691179275513, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.043494466692209244, -0.12340185046195984, 0.1441277116537094, 0.010773126035928726, 0.7611858248710632, 0.4102676212787628, 0.1504431664943695, 1.5919641256332397, 0.8415239453315735, 0.09326963126659393, -0.7778987288475037, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.05203104764223099, -0.22082142531871796, 0.2090977281332016, -0.0390029139816761, 0.891201913356781, 0.3956610858440399, 0.11924778670072556, 1.672515630722046, 0.9832170605659485, -0.019656473770737648, -0.8889132142066956, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.017256366088986397, -0.0879785418510437, 0.18459953367710114, -0.04963777959346771, 0.7920367121696472, 0.4292275607585907, 0.1966906636953354, 1.5987354516983032, 0.853605329990387, 0.10669907182455063, -0.7180959582328796, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ -0.017374848946928978, -0.088005930185318, 0.1845790296792984, -0.049659907817840576, 0.7918119430541992, 0.4292847514152527, 0.19667252898216248, 1.5985193252563477, 0.8537304997444153, 0.10667097568511963, -0.7181467413902283, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
2.5
3
3.75
0
7
Ses04M_impro05_M010
I don't but the thing is, I don't care about your policy.
7
anger
2.525
1,068
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.0028335554525256157, -0.0717359259724617, 0.16870447993278503, 0.01127710286527872, 0.774761438369751, 0.4350740909576416, 0.12120410799980164, 1.5512802600860596, 0.8481346368789673, 0.0892426073551178, -0.688267171382904, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.028421849012374878, -0.3162183463573456, 0.2044147402048111, -0.04922995716333389, 0.6829946637153625, 0.3793012797832489, 0.05997686833143234, 1.3804998397827148, 0.8932813405990601, -0.16916191577911377, -0.656536877155304, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.00803015474230051, -0.24249142408370972, 0.17338433861732483, -0.09061280637979507, 0.6672009825706482, 0.3956977427005768, 0.04805149510502815, 1.2914985418319702, 0.8392072319984436, -0.18197177350521088, -0.7114807367324829, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.060173533856868744, -0.37828725576400757, 0.18113355338573456, -0.03729715570807457, 0.696857750415802, 0.3690696954727173, 0.060686975717544556, 1.412567138671875, 0.918068528175354, -0.1509515941143036, -0.6444199085235596, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.017367053776979446, -0.2897201180458069, 0.18472640216350555, -0.07089833915233612, 0.6673568487167358, 0.39135342836380005, 0.055043138563632965, 1.325242280960083, 0.8643733859062195, -0.16957567632198334, -0.6761203408241272, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.06536224484443665, -0.35308343172073364, 0.20891150832176208, -0.03553931042551994, 0.7070280909538269, 0.3746289610862732, 0.050356678664684296, 1.4223225116729736, 0.9071226119995117, -0.16185124218463898, -0.6422951817512512, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ 0.13609452545642853, -0.38759058713912964, 0.2633025348186493, -0.19022776186466217, 1.2425873279571533, 0.5000661015510559, 0.14675191044807434, 1.7547129392623901, 1.139236569404602, -0.08776869624853134, -1.0253880023956299, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ 0.30148425698280334, -0.3682073950767517, 0.26679372787475586, -0.2921105921268463, 1.5679489374160767, 0.5247697234153748, 0.3959399163722992, 1.9267594814300537, 1.2618474960327148, 0.09004460275173187, -1.2240849733352661, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.028953034430742264, -0.31616246700286865, 0.20388482511043549, -0.04743783921003342, 0.6839849352836609, 0.3800693452358246, 0.05857434123754501, 1.3830909729003906, 0.89572674036026, -0.16841337084770203, -0.656247615814209, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ -0.026543166488409042, -0.3161424696445465, 0.2020421326160431, -0.04763764515519142, 0.6822952628135681, 0.37943312525749207, 0.061338432133197784, 1.382621169090271, 0.8944669365882874, -0.16784413158893585, -0.6550888419151306, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
2.5
3.5
3.75
0
7
Ses04M_impro05_M011
You understand?
7
anger
2.375
2,540
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
3.5
[ { "feats": [ 0.0006765748257748783, -0.27575981616973877, 0.17158645391464233, -0.01692565530538559, 0.6726533770561218, 0.39090150594711304, 0.05805102735757828, 1.303318977355957, 0.8842191696166992, -0.14561641216278076, -0.7065476179122925, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.039635851979255676, -0.2415854036808014, 0.21709170937538147, -0.1428326815366745, 0.7438796162605286, 0.4369974136352539, 0.24859514832496643, 1.4175224304199219, 0.823030948638916, -0.004882002715021372, -0.8243789076805115, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.031288083642721176, -0.2446223944425583, 0.19988206028938293, -0.08400734513998032, 0.7787219882011414, 0.4612366557121277, 0.25792253017425537, 1.5112696886062622, 0.8076042532920837, 0.00949633028358221, -0.8248721957206726, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.011742021888494492, -0.2750350832939148, 0.19627028703689575, -0.10840769857168198, 0.7685087323188782, 0.3976517915725708, 0.23978905379772186, 1.5143685340881348, 0.829753577709198, 0.021615538746118546, -0.7081676125526428, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.047846470028162, -0.2489452064037323, 0.22449517250061035, -0.1179533526301384, 0.7928515672683716, 0.4653393626213074, 0.2680363655090332, 1.4692535400390625, 0.8472897410392761, -0.009162884205579758, -0.8722142577171326, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.03829409182071686, -0.2567252516746521, 0.21340355277061462, -0.1314895749092102, 0.7576055526733398, 0.4193041920661926, 0.24840043485164642, 1.4480255842208862, 0.829087495803833, -0.007009327411651611, -0.7912982702255249, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.07899364084005356, -0.24509401619434357, 0.10600649565458298, -0.10040730983018875, 0.949799120426178, 0.45025500655174255, 0.24005308747291565, 1.5282855033874512, 0.93881756067276, 0.07180418819189072, -1.0668280124664307, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.11536562442779541, -0.21070173382759094, 0.10616730153560638, -0.04584579914808273, 1.0645112991333008, 0.4575147032737732, 0.19644753634929657, 1.6147398948669434, 0.9751923680305481, 0.0786149799823761, -1.1928555965423584, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.03915509954094887, -0.24242301285266876, 0.21661989390850067, -0.14142140746116638, 0.7452846765518188, 0.4378386437892914, 0.24994559586048126, 1.4202418327331543, 0.8239266872406006, -0.004466749262064695, -0.8246322274208069, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.03928256034851074, -0.2418118417263031, 0.21678775548934937, -0.14237934350967407, 0.7445424795150757, 0.4373836815357208, 0.249318465590477, 1.41866934299469, 0.8234062790870667, -0.004786300472915173, -0.8246279358863831, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M014
No, no, because, look, I don't care what your policy says. I mean--
7
anger
1.85
1,008
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.010255503468215466, -0.2223796546459198, 0.23994627594947815, -0.09480058401823044, 0.774199366569519, 0.45810726284980774, 0.2427346259355545, 1.4142942428588867, 0.8545605540275574, -0.039429083466529846, -0.845097005367279, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.023738106712698936, -0.24141736328601837, 0.13353227078914642, 0.027133295312523842, 0.6894009113311768, 0.3847505450248718, 0.11118973046541214, 1.276815414428711, 0.7510996460914612, 0.0035653032828122377, -0.941319465637207, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.03016895055770874, -0.22242699563503265, 0.1491505205631256, 0.03718336299061775, 0.6969109177589417, 0.40695756673812866, 0.09135857969522476, 1.2344284057617188, 0.7309422492980957, -0.019371869042515755, -0.9918856024742126, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ -0.005100074224174023, -0.23172295093536377, 0.11260415613651276, 0.035641491413116455, 0.6929356455802917, 0.34796905517578125, 0.08314003795385361, 1.3102431297302246, 0.7426975965499878, -0.005265164189040661, -0.8784108757972717,...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.03950962796807289, -0.24338071048259735, 0.1334044486284256, 0.04270251467823982, 0.6981090307235718, 0.39278513193130493, 0.11085343360900879, 1.2510191202163696, 0.7433890104293823, 0.00692534726113081, -0.9752911329269409, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.016018813475966454, -0.24141956865787506, 0.11899074912071228, 0.02197035402059555, 0.7017075419425964, 0.3743186891078949, 0.10405796766281128, 1.3017374277114868, 0.7490463256835938, 0.005013623740524054, -0.9185577034950256, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.052569225430488586, -0.22406357526779175, 0.10884661972522736, 0.028156695887446404, 0.7968036532402039, 0.3550136089324951, -0.02575698494911194, 1.3515657186508179, 0.7801086902618408, -0.125807523727417, -1.0724128484725952, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.0772256851196289, -0.2635525166988373, 0.11236940324306488, 0.024660708382725716, 0.9185172319412231, 0.38846758008003235, -0.003967365715652704, 1.5133765935897827, 0.8749483227729797, -0.14485709369182587, -1.1729543209075928, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.02363518625497818, -0.24042558670043945, 0.13357295095920563, 0.027429500594735146, 0.6882836222648621, 0.3843453526496887, 0.11035741120576859, 1.2766276597976685, 0.7507164478302002, 0.0022700733970850706, -0.9399788975715637, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.023702193051576614, -0.24098308384418488, 0.13343773782253265, 0.027173111215233803, 0.68889981508255, 0.3846535384654999, 0.11083807051181793, 1.2764681577682495, 0.7509238719940186, 0.003070944920182228, -0.9408407807350159, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
3
4
5
0
7
Ses04M_impro05_M015
You understand that the contents of my bag- The contents of my bag cost a hundred and fifty dollars.
7
anger
1.8
212
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
3
4
[ { "feats": [ 0.020116621628403664, -0.22909055650234222, 0.11611001193523407, 0.07820617407560349, 0.6889408826828003, 0.3812424838542938, 0.11264309287071228, 1.231900691986084, 0.7354660034179688, 0.007117148954421282, -0.953027606010437, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.1451648473739624, -0.24499379098415375, 0.13352574408054352, -0.22126652300357819, 1.1276931762695312, 0.5523616075515747, 0.19684955477714539, 1.791375994682312, 0.8988311886787415, -0.25910842418670654, -0.8856155276298523, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.06986278295516968, -0.2852351665496826, 0.02457377128303051, -0.07243748009204865, 0.9880938529968262, 0.5726293921470642, 0.28853580355644226, 1.5930917263031006, 0.8700117468833923, -0.28931596875190735, -0.9226380586624146, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.1395423859357834, -0.15250739455223083, 0.05638882517814636, -0.17840063571929932, 1.0824395418167114, 0.5698496699333191, 0.10658486932516098, 1.7815228700637817, 0.9015308618545532, -0.30431973934173584, -0.7691722512245178, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.12362561374902725, -0.2783948481082916, 0.0857871025800705, -0.12519745528697968, 1.0703284740447998, 0.5625969767570496, 0.23817522823810577, 1.6996049880981445, 0.9002375602722168, -0.28754281997680664, -0.9040956497192383, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.15485648810863495, -0.19724315404891968, 0.07820753008127213, -0.21779535710811615, 1.1170579195022583, 0.5620322227478027, 0.17876316606998444, 1.8282243013381958, 0.893496572971344, -0.2759687602519989, -0.8528517484664917, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ -0.04917463660240173, -0.31588658690452576, -0.07794979214668274, -0.21978694200515747, 0.9869656562805176, 0.4978344440460205, 0.339620441198349, 1.7401924133300781, 0.9433838725090027, -0.04360427334904671, -0.948368489742279, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.0358317606151104, -0.30908194184303284, 0.03266861289739609, -0.2940331697463989, 1.0890867710113525, 0.5161899924278259, 0.3504054546356201, 1.8185447454452515, 0.9640772938728333, -0.0272713303565979, -0.9826705455780029, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.15496620535850525, -0.22794783115386963, 0.13318534195423126, -0.22187624871730804, 1.127002477645874, 0.5640851259231567, 0.18451546132564545, 1.8101108074188232, 0.913345456123352, -0.26548051834106445, -0.8611031770706177, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.1488066464662552, -0.23729823529720306, 0.13244664669036865, -0.22222664952278137, 1.1255638599395752, 0.5566324591636658, 0.19211255013942719, 1.7964481115341187, 0.9046912789344788, -0.26141637563705444, -0.8769962787628174, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2
2
2.5
-1.25
7
Ses04M_impro05_M016
You--
7
anger
3.175
999
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
2
2
[ { "feats": [ 0.04446309804916382, -0.2654571533203125, 0.014801017940044403, -0.04992635175585747, 1.0510354042053223, 0.6362975835800171, 0.21523094177246094, 1.6976219415664673, 0.9427657127380371, -0.3353804647922516, -0.853747546672821, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.0654330626130104, -0.1595049500465393, 0.28219205141067505, -0.07646677643060684, 0.6306454539299011, 0.3883213698863983, 0.13716958463191986, 1.2356293201446533, 0.7408028244972229, -0.07644791156053543, -0.7813658118247986, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.036669936031103134, -0.16236461699008942, 0.303825706243515, -0.06401638686656952, 0.6606768369674683, 0.44626274704933167, 0.1413213610649109, 1.244555115699768, 0.7528823018074036, -0.06990721821784973, -0.826968789100647, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.059551142156124115, -0.20059151947498322, 0.29481205344200134, -0.05355478823184967, 0.6502973437309265, 0.3683004677295685, 0.12609964609146118, 1.2738687992095947, 0.7507168650627136, -0.06688089668750763, -0.7242840528488159, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.052623920142650604, -0.16150590777397156, 0.2887129783630371, -0.07478319108486176, 0.6430226564407349, 0.41799798607826233, 0.15542420744895935, 1.2415640354156494, 0.7529181241989136, -0.06780881434679031, -0.8059136271476746, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.06452001631259918, -0.18039433658123016, 0.2943494915962219, -0.0736585259437561, 0.640426516532898, 0.3794384300708771, 0.1337202787399292, 1.2549489736557007, 0.7418696284294128, -0.0641038790345192, -0.7504773736000061, -0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.05371129512786865, -0.26462551951408386, 0.264881432056427, -0.042275331914424896, 0.945586085319519, 0.4506503939628601, 0.07363029569387436, 1.5585978031158447, 0.8700429201126099, -0.08058357238769531, -1.00066077709198, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.10598458349704742, -0.27873915433883667, 0.2663896679878235, -0.05649521201848984, 1.0873130559921265, 0.48600950837135315, 0.05922183394432068, 1.7396483421325684, 0.9406906962394714, -0.06618586927652359, -1.092301607131958, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.06294964998960495, -0.16381540894508362, 0.2854604125022888, -0.0755762979388237, 0.6363608837127686, 0.39343464374542236, 0.1371874213218689, 1.2398806810379028, 0.7432959079742432, -0.07313651591539383, -0.7805842161178589, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.06431092321872711, -0.16087524592876434, 0.28342506289482117, -0.07568732649087906, 0.6325907111167908, 0.39009472727775574, 0.13683892786502838, 1.2363451719284058, 0.7417967915534973, -0.0749283879995346, -0.7809655070304871, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
3
3.5
5
0
7
Ses04M_impro05_M017
No. No. No. What I need you to do -- I need you to write checks for -- I need you to write three of them. That'll be satisfactory.
7
anger
1.85
5,935
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
3.5
[ { "feats": [ 0.035629209131002426, -0.1923007220029831, 0.3222324252128601, -0.044678349047899246, 0.6840062737464905, 0.42055898904800415, 0.1473751962184906, 1.2485798597335815, 0.7545822262763977, -0.07591558992862701, -0.7864960432052612, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.06281448155641556, -0.17812904715538025, 0.14787708222866058, -0.14748437702655792, 0.7867885231971741, 0.23270049691200256, 0.06467016041278839, 1.113877296447754, 0.8809832334518433, -0.02532489225268364, -0.6439723968505859, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.04626739025115967, -0.15566113591194153, 0.15918569266796112, -0.15329445898532867, 0.8135753870010376, 0.28981804847717285, 0.08153850585222244, 1.1132436990737915, 0.86802738904953, -0.02358817681670189, -0.7274031639099121, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.046446990221738815, -0.18573953211307526, 0.13385367393493652, -0.12397657334804535, 0.7451784014701843, 0.1684330403804779, 0.04533899575471878, 1.0823967456817627, 0.8573524951934814, -0.024671707302331924, -0.563620388507843, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.0665428638458252, -0.162667378783226, 0.1636693924665451, -0.14547041058540344, 0.8026964664459229, 0.26238006353378296, 0.08498929440975189, 1.1115610599517822, 0.8794748783111572, -0.02111421711742878, -0.691253125667572, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.05110912397503853, -0.18897506594657898, 0.149985209107399, -0.1424381583929062, 0.7607024908065796, 0.19687718152999878, 0.06287640333175659, 1.08735990524292, 0.8663727045059204, -0.02643081173300743, -0.6092306971549988, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.03416290879249573, -0.13358944654464722, 0.10567760467529297, -0.1783331334590912, 0.8594034314155579, 0.2560458481311798, 0.06136111170053482, 1.1347332000732422, 0.9558084011077881, -0.038287453353405, -0.7655593156814575, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.046164676547050476, -0.11482617259025574, 0.13258172571659088, -0.16264894604682922, 0.9371493458747864, 0.24234245717525482, 0.02679532766342163, 1.1899340152740479, 1.0235424041748047, -0.06716134399175644, -0.8127841949462891, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.06236502528190613, -0.17822732031345367, 0.14791825413703918, -0.14754018187522888, 0.7873275876045227, 0.23280788958072662, 0.06437835842370987, 1.1143665313720703, 0.8809820413589478, -0.02540557272732258, -0.6437159776687622, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.06259168684482574, -0.1781568080186844, 0.1478286236524582, -0.14747363328933716, 0.786913275718689, 0.23269706964492798, 0.06459818035364151, 1.113825798034668, 0.8808994293212891, -0.025380032137036324, -0.6439856886863708, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3.5
3.5
3
6.25
1.25
7
Ses04M_impro05_M018
Just -- you can fill out the form--We can fill out - no, no, no, we can fill out the form three times.
7
anger
2.5
4,291
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
3
[ { "feats": [ 0.04287685453891754, -0.17453621327877045, 0.1638507843017578, -0.1264171451330185, 0.8132629990577698, 0.22839052975177765, 0.059253767132759094, 1.101677417755127, 0.8806282877922058, -0.013251464813947678, -0.6596546769142151, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.06383731216192245, -0.31252557039260864, 0.22589586675167084, -0.18195009231567383, 0.7170636057853699, 0.45349615812301636, 0.09574543684720993, 1.4624707698822021, 0.7553651332855225, 0.10689999908208847, -0.6984678506851196, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.06264836341142654, -0.27833226323127747, 0.19713838398456573, -0.14603230357170105, 0.7125130891799927, 0.4773922562599182, 0.13520817458629608, 1.4266406297683716, 0.7483785152435303, 0.09548836201429367, -0.7634926438331604, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.06065128743648529, -0.30752015113830566, 0.19852782785892487, -0.14661487936973572, 0.6969949007034302, 0.40612587332725525, 0.06337912380695343, 1.457317590713501, 0.7312055826187134, 0.10203032195568085, -0.6185696721076965, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.07341474294662476, -0.3274300694465637, 0.21022093296051025, -0.17531749606132507, 0.7115235328674316, 0.4502590298652649, 0.1247263252735138, 1.4421743154525757, 0.7498291730880737, 0.11112359911203384, -0.7247174382209778, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.05981843173503876, -0.31235188245773315, 0.2118414342403412, -0.16374088823795319, 0.7072060108184814, 0.4337141215801239, 0.0861668512225151, 1.4562016725540161, 0.7401068210601807, 0.10562379658222198, -0.6738150119781494, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.015191776677966118, -0.3117418587207794, 0.148837149143219, -0.11593406647443771, 0.8161100149154663, 0.4679034948348999, 0.08672402799129486, 1.6104406118392944, 0.829597532749176, 0.09602964669466019, -0.7527851462364197, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.045490868389606476, -0.33918866515159607, 0.14832188189029694, -0.11808042228221893, 0.9464642405509949, 0.5201323628425598, 0.11711953580379486, 1.7607765197753906, 0.8935628533363342, 0.08891090005636215, -0.770717442035675, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.0635978952050209, -0.31331130862236023, 0.2256988137960434, -0.18053926527500153, 0.7183232307434082, 0.45365652441978455, 0.09495603293180466, 1.4636956453323364, 0.7554768323898315, 0.10730070620775223, -0.6974143385887146, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.0635652095079422, -0.3129628002643585, 0.22585712373256683, -0.18117383122444153, 0.7176536917686462, 0.4536263644695282, 0.09532640874385834, 1.4624606370925903, 0.7553480863571167, 0.10721228271722794, -0.6979222893714905, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
3.5
3.5
6.25
0
7
Ses04M_impro05_M022
Yeah. If it was yours, but it's not. It's mine. Okay. So just--
7
anger
1.475
9,251
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
3.5
3.5
[ { "feats": [ 0.04233742505311966, -0.34700727462768555, 0.20993627607822418, -0.13356013596057892, 0.7391581535339355, 0.4620349109172821, 0.10374803841114044, 1.4486743211746216, 0.7455316781997681, 0.10269849747419357, -0.6804837584495544, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }