label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10973819345235825, -0.2580857276916504, 0.1591399610042572, -0.09421949833631516, 0.6375840306282043, 0.37864482402801514, 0.13105401396751404, 1.274614691734314, 0.7473751902580261, -0.006588777061551809, -0.7666646242141724, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10082259029150009, -0.23130181431770325, 0.15196305513381958, -0.07180212438106537, 0.6343176364898682, 0.42406249046325684, 0.13138742744922638, 1.2384415864944458, 0.7330456376075745, -0.008963487111032009, -0.8223245739936829, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10553469508886337, -0.24066126346588135, 0.16233748197555542, -0.09705822169780731, 0.6263121366500854, 0.3469768166542053, 0.11039365828037262, 1.2556675672531128, 0.7410769462585449, -0.008463782258331776, -0.7060209512710571, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10604920238256454, -0.24697844684123993, 0.15686050057411194, -0.08030187338590622, 0.6357070207595825, 0.398956835269928, 0.12990809977054596, 1.2526928186416626, 0.7416691780090332, -0.008040803484618664, -0.7963207364082336, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.11182641983032227, -0.2534455358982086, 0.15874265134334564, -0.09475484490394592, 0.6324219107627869, 0.3624536693096161, 0.12231316417455673, 1.2693164348602295, 0.747110903263092, -0.0016904185758903623, -0.7327430844306946, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.07365765422582626, -0.27998244762420654, 0.16785790026187897, -0.08324646204710007, 0.7380000352859497, 0.36831238865852356, 0.09376320242881775, 1.382609248161316, 0.7970490455627441, -0.001365449745208025, -0.8315971493721008, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.08121994882822037, -0.30753588676452637, 0.25241369009017944, -0.10217329114675522, 0.8784058690071106, 0.4008345305919647, 0.08267950266599655, 1.579270839691162, 0.8958378434181213, -0.015248103067278862, -0.9012897610664368, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10901497304439545, -0.25797078013420105, 0.15875345468521118, -0.09297281503677368, 0.6397969722747803, 0.37981584668159485, 0.12921223044395447, 1.2771614789962769, 0.7484203577041626, -0.007006198167800903, -0.765485942363739, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.10949255526065826, -0.2577905058860779, 0.15875831246376038, -0.09343722462654114, 0.6382903456687927, 0.37897685170173645, 0.1303326040506363, 1.2749245166778564, 0.7476201057434082, -0.006925787311047316, -0.7661145329475403, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F023
Right, right, and since--yeah, since it was just a computer glitch, then that's that should be cleared up as well. So I'm going to go ahead and try and put that into the computer. And if for some reason you notice on your statement in a few days that you've been charged and an overdue fee, then you should just call back and we'll have that.
10
neutral
0.125
533
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.08778882771730423, -0.2415396124124527, 0.1545206606388092, -0.06997104734182358, 0.6495704054832458, 0.3836318254470825, 0.10418731719255447, 1.2619030475616455, 0.7432390451431274, -0.015095262788236141, -0.7579308152198792, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.12466613203287125, -0.2590923309326172, 0.1315544843673706, -0.05678783729672432, 0.8064833879470825, 0.4341200292110443, 0.12443216145038605, 1.4495666027069092, 0.8509254455566406, 0.08873317390680313, -0.633660078048706, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.11752786487340927, -0.2683775722980499, 0.1464672088623047, -0.04497970640659332, 0.812484085559845, 0.4857076406478882, 0.1027345135807991, 1.468611717224121, 0.8430528044700623, 0.06870536506175995, -0.693157434463501, -0.0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.1180339828133583, -0.23681992292404175, 0.10406369715929031, -0.05895715951919556, 0.7594688534736633, 0.3903629779815674, 0.1313675343990326, 1.3751333951950073, 0.8423753380775452, 0.09113842993974686, -0.607922375202179, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.12520185112953186, -0.2632143795490265, 0.13121314346790314, -0.044010281562805176, 0.8121456503868103, 0.45193785429000854, 0.11858708411455154, 1.4666666984558105, 0.8450097441673279, 0.07733757048845291, -0.6532261967658997, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.11659464240074158, -0.24003447592258453, 0.11702944338321686, -0.04573635011911392, 0.795599639415741, 0.4123261868953705, 0.12649419903755188, 1.4168752431869507, 0.851790726184845, 0.08888264000415802, -0.6194312572479248, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.12169408053159714, -0.21414969861507416, 0.1493445187807083, -0.022946564480662346, 0.8196812272071838, 0.4225720465183258, 0.0922943651676178, 1.388548731803894, 0.935099184513092, 0.05341720953583717, -0.7154715061187744, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.11614164710044861, -0.23449186980724335, 0.2277466505765915, -0.06740528345108032, 1.0076416730880737, 0.5194501876831055, 0.11355343461036682, 1.6470967531204224, 1.0404431819915771, -0.023803072050213814, -0.8721166253089905, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.12343499809503555, -0.2576616108417511, 0.13005664944648743, -0.05337252467870712, 0.8041492700576782, 0.43281397223472595, 0.12216037511825562, 1.4439568519592285, 0.8494044542312622, 0.0879078060388565, -0.6338022351264954, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.12393971532583237, -0.25849151611328125, 0.13082201778888702, -0.05542350932955742, 0.8055792450904846, 0.4334828555583954, 0.12325572222471237, 1.447638750076294, 0.8501080870628357, 0.08814700692892075, -0.6338827013969421, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
2.5
5
0
10
Ses05F_impro08_F024
Well I'll give you my direct line and my number so you can- you can get directly to me.
10
neutral
0.125
1,393
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.11313359439373016, -0.2405073046684265, 0.11248280107975006, -0.03241364285349846, 0.7910334467887878, 0.4286345839500427, 0.10533852875232697, 1.3950185775756836, 0.8505783081054688, 0.08156076818704605, -0.6465524435043335, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.11747676879167557, -0.18889518082141876, 0.019618427380919456, -0.0010348149808123708, 0.9730435013771057, 0.4313749074935913, 0.04127977043390274, 1.603344440460205, 0.9405316114425659, -0.15558017790317535, -0.4570012092590332, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.11544954776763916, -0.2173398733139038, 0.0229356549680233, 0.14631274342536926, 1.0378414392471313, 0.6071821451187134, 0.08103406429290771, 1.639471411705017, 0.9499200582504272, -0.2190162092447281, -0.4933731257915497, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.02197771519422531, -0.2347002625465393, -0.07852398604154587, 0.006259664427489042, 0.9917324185371399, 0.3611956834793091, -0.019004661589860916, 1.5859534740447998, 0.881771445274353, -0.18579010665416718, -0.41281193494796753, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.09876640141010284, -0.21268823742866516, 0.02620621956884861, 0.0671730786561966, 1.0321264266967773, 0.5150065422058105, 0.03493833914399147, 1.6097917556762695, 0.9721692204475403, -0.1815255880355835, -0.5122750997543335, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.03699468448758125, -0.21151316165924072, -0.038783054798841476, 0.02841753326356411, 1.0105966329574585, 0.406627893447876, -0.022132670506834984, 1.5817259550094604, 0.9129554629325867, -0.17780131101608276, -0.4397996962070465, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.01057770662009716, -0.2756786346435547, 0.0629420205950737, -0.047855544835329056, 1.3553056716918945, 0.5286234021186829, 0.3236697316169739, 1.9242658615112305, 1.1423770189285278, 0.014950897544622421, -0.9533966183662415, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12102272361516953, -0.43321317434310913, 0.19620689749717712, -0.2512321174144745, 1.7389198541641235, 0.4534272849559784, 0.5174461603164673, 2.2863709926605225, 1.3744930028915405, -0.0025282204151153564, -1.1403660774230957, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.11197798699140549, -0.1888716071844101, 0.015875553712248802, -0.004349351394921541, 0.9730435013771057, 0.43553856015205383, 0.04818965122103691, 1.60042405128479, 0.9371381402015686, -0.1582735776901245, -0.45424261689186096, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.11806297302246094, -0.18901222944259644, 0.011738503351807594, 0.0029883291572332382, 0.9744676947593689, 0.43429476022720337, 0.040163006633520126, 1.6008564233779907, 0.9408028721809387, -0.159202441573143, -0.45879483222961426,...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F025
yeah.
10
neutral
0.05
4,913
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.10014145821332932, -0.18659032881259918, -0.028104577213525772, 0.09427383542060852, 0.9630206823348999, 0.4728038012981415, 0.027780089527368546, 1.5303640365600586, 0.896794319152832, -0.20725689828395844, -0.5479052662849426, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.19655968248844147, -0.18586453795433044, 0.2195185124874115, -0.0015924155013635755, 1.0012925863265991, 0.499534547328949, -0.024105289950966835, 1.609052062034607, 1.0213147401809692, 0.0946347564458847, -0.5683063268661499, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.11792738735675812, -0.10321610420942307, 0.19177913665771484, 0.07100379467010498, 0.9058735966682434, 0.4988362193107605, -0.06175269931554794, 1.6040148735046387, 0.9728037118911743, 0.04999890923500061, -0.5715077519416809, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.20824545621871948, -0.1539728194475174, 0.20147334039211273, -0.03032245673239231, 0.9213175177574158, 0.44129061698913574, -0.04685453325510025, 1.522391676902771, 1.0131195783615112, 0.1013408824801445, -0.5353447794914246, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.17215970158576965, -0.14423058927059174, 0.22935554385185242, 0.03731491044163704, 0.9622946381568909, 0.49667614698410034, -0.05231258645653725, 1.6148507595062256, 1.0013118982315063, 0.06898575276136398, -0.571834146976471, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.2252987176179886, -0.18348301947116852, 0.21325372159481049, -0.03295942768454552, 0.9674331545829773, 0.44367071986198425, -0.03449708968400955, 1.5866552591323853, 1.019787073135376, 0.10720686614513397, -0.5308692455291748, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.030582217499613762, -0.15015611052513123, 0.20389410853385925, 0.09160278737545013, 1.1464821100234985, 0.463739275932312, -0.1199602261185646, 1.6531628370285034, 1.204628586769104, 0.016108304262161255, -0.6783706545829773, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.15201637148857117, -0.11775308847427368, 0.3944624364376068, 0.09453413635492325, 1.7168642282485962, 0.6724249720573425, -0.04379000887274742, 2.3439574241638184, 1.644776701927185, -0.18009936809539795, -0.8890447020530701, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.19797801971435547, -0.18302513659000397, 0.22178295254707336, -0.0007287691114470363, 1.0013536214828491, 0.4965791702270508, -0.024923253804445267, 1.6120346784591675, 1.0221948623657227, 0.0936182364821434, -0.5697895884513855, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.1957586407661438, -0.18345536291599274, 0.21701504290103912, -0.002497473731637001, 0.9984714984893799, 0.5001628994941711, -0.024256039410829544, 1.605377197265625, 1.0200955867767334, 0.09438204765319824, -0.568587601184845, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2
2.5
2.5
1.25
10
Ses05F_impro08_F026
No problem.
10
neutral
0.25
4,912
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ -0.16560788452625275, -0.16416114568710327, 0.22675369679927826, 0.04053446650505066, 0.9744977951049805, 0.5215343236923218, -0.06575815379619598, 1.5623923540115356, 1.0230125188827515, 0.05892318859696388, -0.5956754088401794, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08780466765165329, -0.187739297747612, 0.19314903020858765, -0.02180553786456585, 0.6635447144508362, 0.33858317136764526, -0.0025443921331316233, 1.275012493133545, 0.569112241268158, 0.008789216168224812, -0.6235246658325195, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.07138219475746155, -0.16961175203323364, 0.20726466178894043, 0.016602111980319023, 0.6594517827033997, 0.3861556053161621, 0.03393901512026787, 1.310675859451294, 0.5583652853965759, 0.0030436485540121794, -0.658666729927063, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08207730203866959, -0.1786935031414032, 0.17452272772789001, -0.02130451612174511, 0.6553751826286316, 0.2857176959514618, 0.009276077151298523, 1.2754909992218018, 0.5720569491386414, 0.02074943482875824, -0.5685036778450012, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08663482218980789, -0.19623170793056488, 0.18937504291534424, -0.0055042230524122715, 0.6603951454162598, 0.36210745573043823, 0.010347210802137852, 1.2747502326965332, 0.5614952445030212, -0.011294030584394932, -0.6495935916900635...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08276022225618362, -0.1787342131137848, 0.1671946793794632, -0.018633214756846428, 0.6471450924873352, 0.30467814207077026, -0.0019603862892836332, 1.2395998239517212, 0.5582263469696045, 0.007534881588071585, -0.5894535779953003, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.10030239075422287, -0.27912768721580505, 0.2000674307346344, -0.12946465611457825, 0.9553332924842834, 0.4615602493286133, -0.040196917951107025, 1.5494638681411743, 0.776412844657898, 0.0051866862922906876, -0.8676784038543701, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.16290995478630066, -0.28292396664619446, 0.3427865207195282, -0.16137440502643585, 1.3252980709075928, 0.5442209839820862, 0.09778895229101181, 1.8588206768035889, 1.0628732442855835, 0.00025585785624571145, -1.0395184755325317, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08507458120584488, -0.1843527853488922, 0.19305047392845154, -0.020720433443784714, 0.6606698036193848, 0.3380244970321655, -0.0015213839942589402, 1.2748088836669922, 0.5689244270324707, 0.009233190678060055, -0.621410608291626, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08615633100271225, -0.18584339320659637, 0.1925296187400818, -0.021222706884145737, 0.6613709926605225, 0.3377232551574707, -0.001953160623088479, 1.2731534242630005, 0.5687990784645081, 0.009174427017569542, -0.6223574280738831, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F027
ahh one eight hundred three two three
10
neutral
0.05
2,449
0.5
null
null
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.061351146548986435, -0.17822407186031342, 0.18306073546409607, 0.009446725249290466, 0.6458417177200317, 0.3388112485408783, 0.000024483173547196202, 1.2376457452774048, 0.5733085870742798, 0.0037312908098101616, -0.623066663742065...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.184871643781662, -0.2527306079864502, 0.03612995892763138, -0.04238886386156082, 1.02540922164917, 0.29061129689216614, 0.11025930941104889, 1.8092074394226074, 1.155873417854309, -0.04877393692731857, -0.4006171226501465, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.17120681703090668, -0.24939820170402527, 0.052512530237436295, 0.020400898531079292, 1.0039360523223877, 0.32797491550445557, 0.11918044835329056, 1.5731552839279175, 1.010135293006897, -0.09964452683925629, -0.573459804058075, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.13219009339809418, -0.3061283230781555, 0.08007694035768509, -0.030015191063284874, 0.9529818296432495, 0.25831401348114014, 0.14340870082378387, 1.5781891345977783, 1.0672223567962646, -0.07752954214811325, -0.3634735345840454, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.18739114701747894, -0.2646770179271698, 0.033229976892471313, -0.009586913511157036, 1.0083980560302734, 0.3036258816719055, 0.10279054194688797, 1.7332428693771362, 1.0953693389892578, -0.0457431860268116, -0.4780505895614624, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.14918087422847748, -0.306118905544281, 0.06668171286582947, -0.03546902909874916, 0.9997653365135193, 0.25953128933906555, 0.13938234746456146, 1.7332000732421875, 1.1205025911331177, -0.0673438310623169, -0.34478509426116943, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.2897743284702301, -0.13197611272335052, 0.098647341132164, -0.08766917884349823, 1.207627534866333, 0.516377866268158, 0.2683785557746887, 1.6586052179336548, 1.2812942266464233, -0.17636415362358093, -0.7821100354194641, -0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.2684853672981262, -0.19742466509342194, 0.21080011129379272, -0.11849775910377502, 1.5815573930740356, 0.5192660689353943, 0.32217609882354736, 1.9308457374572754, 1.614449143409729, -0.034416910260915756, -1.3067444562911987, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.1857990175485611, -0.26173511147499084, 0.03819496929645538, -0.04779503494501114, 1.0117379426956177, 0.2931596338748932, 0.11167136579751968, 1.7954621315002441, 1.1449533700942993, -0.041959889233112335, -0.3986453413963318, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.18776847422122955, -0.25490474700927734, 0.032026566565036774, -0.042227018624544144, 1.018849492073059, 0.29351338744163513, 0.10619352757930756, 1.8076311349868774, 1.1536260843276978, -0.0435529425740242, -0.399048388004303, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2
2
2.5
1.25
10
Ses05F_impro08_F029
You're welcome
10
neutral
0.4
5,660
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
3.5
2
2
[ { "feats": [ 0.18524211645126343, -0.2827416956424713, 0.07700040936470032, -0.05141837149858475, 0.9535630941390991, 0.2988865077495575, 0.09013711661100388, 1.4537913799285889, 1.0246121883392334, -0.05249866470694542, -0.5429743528366089, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.0294570941478014, -0.22186055779457092, 0.13499175012111664, -0.01788036711513996, 0.7646082043647766, 0.320112943649292, 0.17088277637958527, 1.2106345891952515, 0.8461390733718872, -0.04401189833879471, -0.7000950574874878, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.017710234969854355, -0.18360377848148346, 0.1425129920244217, 0.03665705397725105, 0.7023012042045593, 0.34024778008461, 0.18965621292591095, 1.149603247642517, 0.7932659983634949, -0.06281547248363495, -0.7141664624214172, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.005360173527151346, -0.18568992614746094, 0.06461869925260544, -0.027816206216812134, 0.7255914211273193, 0.28374338150024414, 0.16759689152240753, 1.1215379238128662, 0.8282861709594727, -0.04104229807853699, -0.6448788642883301, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.009716211818158627, -0.20935991406440735, 0.1371784508228302, 0.007964224554598331, 0.7196275591850281, 0.3206350803375244, 0.18578781187534332, 1.1533597707748413, 0.8133285641670227, -0.05118901655077934, -0.7141975164413452, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.01565811038017273, -0.19161246716976166, 0.09530167281627655, -0.02941155433654785, 0.7465537190437317, 0.3044213652610779, 0.1720687747001648, 1.1396790742874146, 0.8299326300621033, -0.044620200991630554, -0.6662734150886536, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.04086165502667427, -0.03372800722718239, 0.1060410588979721, -0.1702246367931366, 1.2464783191680908, 0.646812915802002, 0.23709368705749512, 1.8627656698226929, 1.2539719343185425, -0.09038534015417099, -1.1066592931747437, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.04732996225357056, -0.11199731379747391, 0.3003329634666443, -0.1565992385149002, 1.2791436910629272, 0.7240340709686279, 0.27002087235450745, 2.0812108516693115, 1.3052122592926025, -0.1710393875837326, -1.3429723978042603, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.02269412763416767, -0.21628540754318237, 0.13429012894630432, -0.015431397594511509, 0.7703263759613037, 0.320147305727005, 0.1686917543411255, 1.20984947681427, 0.846531093120575, -0.04759378731250763, -0.6952788233757019, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ 0.026152685284614563, -0.2189089059829712, 0.1338769942522049, -0.01661941409111023, 0.766774594783783, 0.32026392221450806, 0.16924463212490082, 1.208458662033081, 0.8465578556060791, -0.04644276201725006, -0.6971760988235474, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
10
Ses05F_impro08_F030
I'm sorry that it was an inconvenience.
10
neutral
0.125
596
0.6875
null
null
0
0
0.5
null
null
0
3
2
3
2
2.5
[ { "feats": [ -0.0162199754267931, -0.18869510293006897, 0.12136121839284897, 0.0035448966082185507, 0.7121872305870056, 0.3016849458217621, 0.1768941581249237, 1.102923035621643, 0.8097742795944214, -0.0683726817369461, -0.7141488194465637, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.016809623688459396, -0.1936451494693756, 0.021405698731541634, 0.015929240733385086, 0.8636144399642944, 0.3201552629470825, 0.04298495501279831, 1.4257179498672485, 0.8635695576667786, -0.056071456521749496, -0.2994633913040161, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ -0.04407770186662674, -0.1644831895828247, 0.07686565816402435, 0.015359390527009964, 0.894143283367157, 0.39071419835090637, 0.06916205585002899, 1.4375054836273193, 0.8603085279464722, -0.06209992617368698, -0.3842829763889313, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.03700220212340355, -0.20383231341838837, -0.0014476170763373375, -0.007684638258069754, 0.8530681133270264, 0.2847123444080353, 0.0395340621471405, 1.3727195262908936, 0.8930047154426575, -0.03987966850399971, -0.26142120361328125,...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ -0.03577971085906029, -0.18682922422885895, 0.042194850742816925, 0.009500780142843723, 0.8944290280342102, 0.3539274036884308, 0.05531500652432442, 1.4377367496490479, 0.8590006828308105, -0.075996533036232, -0.3307816982269287, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.017740918323397636, -0.17850156128406525, -0.007101614028215408, 0.020652765408158302, 0.8737330436706543, 0.29815101623535156, 0.04550731182098389, 1.4123427867889404, 0.8862910270690918, -0.04442284628748894, -0.2687157392501831,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.008303781971335411, -0.13466794788837433, 0.22525694966316223, -0.024309588596224785, 1.2353121042251587, 0.49867764115333557, 0.0960712656378746, 1.842673659324646, 1.259971261024475, -0.11490185558795929, -0.564680278301239, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.17388783395290375, -0.09489613771438599, 0.15264716744422913, -0.02826925553381443, 1.3617117404937744, 0.48303088545799255, -0.020359257236123085, 1.673335075378418, 1.4648940563201904, -0.1644420474767685, -0.9774240851402283, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.017844107002019882, -0.19199204444885254, 0.015885228291153908, 0.017496861517429352, 0.8667113780975342, 0.31864088773727417, 0.03899430111050606, 1.4322187900543213, 0.8682411909103394, -0.054914578795433044, -0.29451680183410645...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.017389610409736633, -0.19368764758110046, 0.017733773216605186, 0.015368178486824036, 0.8657188415527344, 0.3181692361831665, 0.04167627915740013, 1.4290287494659424, 0.8658062815666199, -0.05506085231900215, -0.29743707180023193, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
10
Ses05F_impro08_F032
Have a good day.
10
neutral
0.55
4,678
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.010414158925414085, -0.15046949684619904, -0.016447938978672028, 0.011399011127650738, 0.8088151812553406, 0.3156058192253113, 0.025522906333208084, 1.2925491333007812, 0.8255312442779541, -0.0768759474158287, -0.31278055906295776,...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.015144185163080692, -0.5746584534645081, 0.13107913732528687, 0.042325209826231, 1.1092947721481323, 0.4575054943561554, -0.03113090619444847, 1.6760343313217163, 1.0866457223892212, -0.31017184257507324, -0.7736479043960571, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.002413275185972452, -0.5306143760681152, 0.10658091306686401, 0.02938077040016651, 1.0479103326797485, 0.49177807569503784, 0.04858001321554184, 1.4580326080322266, 1.0469582080841064, -0.2748745083808899, -0.8107197880744934, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ 0.008579254150390625, -0.5919797420501709, 0.08165866881608963, 0.012032154947519302, 1.1389051675796509, 0.37944296002388, -0.12196444720029831, 1.7459031343460083, 1.0980397462844849, -0.31530994176864624, -0.654655396938324, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.024977056309580803, -0.507440447807312, 0.13397672772407532, 0.048485830426216125, 1.0651646852493286, 0.4825184643268585, 0.008097384124994278, 1.5223475694656372, 1.0597540140151978, -0.2898726761341095, -0.8238114714622498, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.01470163743942976, -0.6122499704360962, 0.07969523966312408, 0.03944587707519531, 1.1411441564559937, 0.4243842661380768, -0.0940222218632698, 1.7237772941589355, 1.0691261291503906, -0.3086240589618683, -0.7311014533042908, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ 0.3007619082927704, -0.3538929224014282, 0.30425623059272766, -0.05653766542673111, 1.7789466381072998, 0.5332148671150208, 0.2204495221376419, 2.0630857944488525, 1.4968231916427612, -0.032864198088645935, -1.184024453163147, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ 0.2195473462343216, -0.41508227586746216, 0.491180419921875, -0.4587361216545105, 1.9943631887435913, 0.5417742729187012, 0.7818859219551086, 2.0212268829345703, 1.417262077331543, 0.34841564297676086, -1.545779824256897, 0.028...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.018628429621458054, -0.5534257888793945, 0.13530170917510986, 0.05003735423088074, 1.1102304458618164, 0.45608800649642944, -0.02805829420685768, 1.657889485359192, 1.0937763452529907, -0.3098163604736328, -0.782131552696228, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.018760113045573235, -0.5678402185440063, 0.12373325228691101, 0.05050847306847572, 1.1146656274795532, 0.45910462737083435, -0.0321706086397171, 1.6732367277145386, 1.087835431098938, -0.31359270215034485, -0.7765849232673645, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2
2
2.5
2.5
10
Ses05F_impro08_F033
bye bye
10
neutral
0.775
2,432
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
2
2
[ { "feats": [ -0.07867664843797684, -0.4722593426704407, 0.08442749828100204, 0.04981051757931709, 1.024674892425537, 0.4373745620250702, -0.05355362221598625, 1.4999370574951172, 1.0723847150802612, -0.2904665470123291, -0.8513747453689575, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.05482394993305206, -0.37554028630256653, 0.173317089676857, -0.17397885024547577, 0.8133382797241211, 0.34911882877349854, 0.15443573892116547, 1.274278998374939, 0.8043181300163269, -0.026451701298356056, -0.6034333109855652, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.04327006638050079, -0.3176526427268982, 0.1276850402355194, -0.12499392777681351, 0.7906549572944641, 0.3940255641937256, 0.136461541056633, 1.2348480224609375, 0.8420632481575012, -0.05396948754787445, -0.6570209860801697, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.06653115898370743, -0.3339305818080902, 0.1399385929107666, -0.13941362500190735, 0.7648125886917114, 0.31954503059387207, 0.12048551440238953, 1.2432875633239746, 0.8177534341812134, -0.051975637674331665, -0.5324224829673767, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.04543961212038994, -0.3520021438598633, 0.14192195236682892, -0.15025588870048523, 0.8139480948448181, 0.38310638070106506, 0.16320480406284332, 1.2758536338806152, 0.8309617638587952, -0.04308048635721207, -0.6433832049369812, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.06500183790922165, -0.3661987781524658, 0.15016381442546844, -0.16606956720352173, 0.7917159199714661, 0.33008381724357605, 0.1392548531293869, 1.2570387125015259, 0.8013244271278381, -0.026750687509775162, -0.581132173538208, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.022581784054636955, -0.3899618089199066, 0.10886926203966141, -0.24386946856975555, 1.085360050201416, 0.4369313418865204, 0.13162831962108612, 1.6262807846069336, 1.053598403930664, 0.09281448274850845, -0.7178530693054199, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.15348374843597412, -0.3790208399295807, 0.1253911852836609, -0.20413149893283844, 1.243503451347351, 0.43670356273651123, 0.13759075105190277, 1.7434428930282593, 1.1933130025863647, 0.034226831048727036, -0.7376422882080078, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.05331692099571228, -0.35938572883605957, 0.16636477410793304, -0.1701745241880417, 0.7958871722221375, 0.35829606652259827, 0.13861219584941864, 1.2618998289108276, 0.8158442378044128, -0.04822284355759621, -0.5891557335853577, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.05317748710513115, -0.3665888011455536, 0.16707293689250946, -0.17104816436767578, 0.8044452667236328, 0.35465097427368164, 0.14864100515842438, 1.2654985189437866, 0.8093190789222717, -0.03669936582446098, -0.5985985398292542, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
9
Ses05F_impro08_M013
Okay, great, go ahead.
9
neutral
0.175
9,519
0.272141
-0.333333
0
0.471405
0.471405
1.247219
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.0934760645031929, -0.2595316171646118, 0.10261949896812439, -0.06693357974290848, 0.7306576371192932, 0.36023950576782227, 0.10028689354658127, 1.1769932508468628, 0.819934070110321, -0.04611887410283089, -0.6022405028343201, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }