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
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.13934928178787231, -0.2180846780538559, 0.287454217672348, -0.13327938318252563, 0.800979495048523, 0.36974361538887024, 0.0663994625210762, 1.2364294528961182, 0.7096858620643616, 0.016831524670124054, -1.0355730056762695, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.14042045176029205, -0.2035793513059616, 0.28051847219467163, -0.11247068643569946, 0.8391236662864685, 0.41087958216667175, 0.04773752763867378, 1.2454434633255005, 0.7184153199195862, -0.019945504143834114, -1.0577269792556763, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.11739370971918106, -0.23066066205501556, 0.29746291041374207, -0.07593832910060883, 0.8500813245773315, 0.34020859003067017, 0.009360876865684986, 1.3454999923706055, 0.7280932664871216, 0.0005177687271498144, -0.9490262269973755, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.14753709733486176, -0.2277565896511078, 0.27964749932289124, -0.12072186917066574, 0.8064785599708557, 0.3789289891719818, 0.06692294031381607, 1.2188196182250977, 0.7108664512634277, 0.012371854856610298, -1.0457745790481567, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.1337658166885376, -0.23133273422718048, 0.28316551446914673, -0.10704800486564636, 0.8139049410820007, 0.3478824496269226, 0.04116816818714142, 1.2734678983688354, 0.7133569717407227, 0.008880251087248325, -0.9970391988754272, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.2095566689968109, -0.23645631968975067, 0.26532143354415894, -0.18286879360675812, 1.26356041431427, 0.4993264377117157, 0.018100695684552193, 1.6661045551300049, 0.898812472820282, -0.09327460080385208, -1.546404242515564, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.2557571828365326, -0.18431073427200317, 0.18328917026519775, -0.1705045998096466, 1.517706036567688, 0.59390789270401, 0.044047605246305466, 1.8541882038116455, 1.039427638053894, -0.08861968666315079, -1.7469176054000854, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.13829277455806732, -0.21352872252464294, 0.2861981689929962, -0.12634824216365814, 0.8041347861289978, 0.3716968297958374, 0.061703164130449295, 1.2422548532485962, 0.7145018577575684, 0.014816313050687313, -1.0249842405319214, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.1384662240743637, -0.2170480489730835, 0.2862061560153961, -0.1296403408050537, 0.8025323748588562, 0.3701450228691101, 0.06464883685112, 1.237695574760437, 0.7115369439125061, 0.01618090085685253, -1.0304453372955322, -0.013...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
3
3.75
0
3
Ses02F_script03_2_M009
Me, too. Bored stiff. You want some brandy?
3
neutral
0
5,846
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
3
2.5
3
[ { "feats": [ 0.09804798662662506, -0.17643044888973236, 0.26278939843177795, -0.06248386949300766, 0.8168908357620239, 0.39224886894226074, 0.028440088033676147, 1.2159761190414429, 0.7317349314689636, -0.04371415823698044, -1.0305982828140259, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12314053624868393, -0.28383392095565796, 0.22034674882888794, -0.08816652745008469, 0.6803154945373535, 0.3021104037761688, 0.03504025563597679, 1.2987252473831177, 0.823870837688446, -0.12872901558876038, -0.7567407488822937, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.11474236100912094, -0.23211179673671722, 0.21662718057632446, -0.04447335749864578, 0.6804869174957275, 0.31705212593078613, 0.01766684465110302, 1.2341560125350952, 0.810379683971405, -0.11660052090883255, -0.82538241147995, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.1062408983707428, -0.29694777727127075, 0.22129860520362854, -0.07826010137796402, 0.6868666410446167, 0.25734826922416687, -0.019750138744711876, 1.3442636728286743, 0.8461428880691528, -0.1643511950969696, -0.6566400527954102, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.11763215810060501, -0.25437384843826294, 0.21592523157596588, -0.0689813643693924, 0.6651778817176819, 0.2975177466869354, 0.0262000672519207, 1.2469412088394165, 0.8102220892906189, -0.11715808510780334, -0.7847821712493896, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.1202830895781517, -0.29703450202941895, 0.21639178693294525, -0.07985518127679825, 0.6874151825904846, 0.2889157831668854, 0.010130337439477444, 1.321073055267334, 0.8342580199241638, -0.14885398745536804, -0.7139309644699097, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.2405567318201065, -0.3449372351169586, 0.28648242354393005, -0.19725018739700317, 0.9941422939300537, 0.2915663421154022, 0.013400153256952763, 1.5836195945739746, 1.0044660568237305, -0.03078547678887844, -0.9827620983123779, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.30703938007354736, -0.28470519185066223, 0.3761763870716095, -0.148805171251297, 1.298598051071167, 0.49626481533050537, 0.03249882161617279, 1.9011147022247314, 1.1918493509292603, 0.021695641800761223, -1.2102134227752686, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.1195276752114296, -0.27475759387016296, 0.22421713173389435, -0.09130653738975525, 0.6817491054534912, 0.30154314637184143, 0.020411429926753044, 1.3035424947738647, 0.8306975960731506, -0.14089392125606537, -0.7485769391059875, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12011487782001495, -0.2800406217575073, 0.22049053013324738, -0.09014039486646652, 0.677108108997345, 0.3004470467567444, 0.029660599306225777, 1.2956193685531616, 0.8248593807220459, -0.13274651765823364, -0.7512598633766174, ...
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
3
Ses02F_script03_2_M011
No particular reason. Anyhow they were very small ones.
3
neutral
0.05
4,019
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.055325910449028015, -0.21491645276546478, 0.2354021966457367, -0.017784874886274338, 0.7184144258499146, 0.30997923016548157, -0.0027172258123755455, 1.2846260070800781, 0.8440939784049988, -0.15160681307315826, -0.7695833444595337...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.05257111415266991, -0.4112475514411926, 0.18204465508460999, -0.06885859370231628, 0.8025460839271545, 0.25852182507514954, 0.14307160675525665, 1.327256441116333, 0.7845956087112427, 0.1670657843351364, -0.5606253743171692, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.03749985247850418, -0.33094558119773865, 0.15110726654529572, 0.011499795131385326, 0.7824303507804871, 0.3251589834690094, 0.09881007671356201, 1.3266011476516724, 0.7608233094215393, 0.15028861165046692, -0.5856941342353821, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.04498409107327461, -0.3804691433906555, 0.10495376586914062, 0.007838110439479351, 0.7554203271865845, 0.23701111972332, 0.09979406744241714, 1.3424798250198364, 0.7929531335830688, 0.10423237085342407, -0.5067681670188904, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.07931351661682129, -0.38516005873680115, 0.15507008135318756, -0.027645986527204514, 0.7841653823852539, 0.2836422324180603, 0.11667896062135696, 1.2840734720230103, 0.7567781805992126, 0.16271790862083435, -0.5896518230438232, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.0507434606552124, -0.38080158829689026, 0.14016659557819366, -0.024953624233603477, 0.7558691501617432, 0.23732544481754303, 0.12238883227109909, 1.2920347452163696, 0.7743660807609558, 0.1530410200357437, -0.5293332934379578, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.13688810169696808, -0.34987878799438477, 0.13392499089241028, -0.08937019109725952, 0.9634425044059753, 0.31005117297172546, 0.04310256987810135, 1.4117367267608643, 0.9924204349517822, 0.08939647674560547, -0.808092474937439, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.21818876266479492, -0.3595239520072937, 0.230597123503685, -0.1436886340379715, 1.1717240810394287, 0.39727869629859924, 0.07623235881328583, 1.504061222076416, 1.1238036155700684, 0.07446853816509247, -0.9951494336128235, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.05123244971036911, -0.3927932679653168, 0.17896603047847748, -0.05433260276913643, 0.7876770496368408, 0.2623811960220337, 0.13255873322486877, 1.3162569999694824, 0.7854487895965576, 0.165443554520607, -0.5550757646560669, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.05258031561970711, -0.40108731389045715, 0.1778094470500946, -0.06011858209967613, 0.793649435043335, 0.2596483528614044, 0.13698123395442963, 1.3178805112838745, 0.7830916047096252, 0.16503837704658508, -0.5569860339164734, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
3
5
2.5
4
Ses02M_impro01_F000
Hi, How can I help you?
4
neutral
0.575
3,091
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.02707383595407009, -0.3359781801700592, 0.11761312931776047, 0.029224852100014687, 0.6983144879341125, 0.2898980379104614, 0.10761279612779617, 1.1868606805801392, 0.7532275319099426, 0.14614596962928772, -0.5948308110237122, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07454953342676163, -0.3197561800479889, 0.16651985049247742, -0.16554062068462372, 0.8737978339195251, 0.38354015350341797, 0.11477798223495483, 1.43746018409729, 0.8351017832756042, 0.030818942934274673, -0.8989238142967224, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.04912484064698219, -0.23811908066272736, 0.18832868337631226, -0.10723163187503815, 0.9274114370346069, 0.43056726455688477, 0.08376544713973999, 1.4793423414230347, 0.81961590051651, 0.012121880427002907, -0.9629428386688232, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.04399880766868591, -0.27483150362968445, 0.20304130017757416, -0.17161904275417328, 0.8489272594451904, 0.3283975422382355, 0.04440006613731384, 1.4675846099853516, 0.8199674487113953, 0.03526420146226883, -0.8278416991233826, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07074744254350662, -0.29564589262008667, 0.16449663043022156, -0.13614848256111145, 0.9021063446998596, 0.41032874584198, 0.10798472166061401, 1.4477072954177856, 0.8422494530677795, 0.023215021938085556, -0.9459406733512878, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.06702160090208054, -0.31961989402770996, 0.17772872745990753, -0.16255661845207214, 0.8659775257110596, 0.3572498857975006, 0.09072034806013107, 1.4561805725097656, 0.8327338099479675, 0.028711259365081787, -0.8689361810684204, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.12210697680711746, -0.34929466247558594, 0.20203304290771484, -0.2578296661376953, 1.0367777347564697, 0.3953922688961029, 0.10182833671569824, 1.5485758781433105, 0.9807697534561157, 0.15940198302268982, -1.067712664604187, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.191105917096138, -0.33697497844696045, 0.20886412262916565, -0.2644176483154297, 1.2115353345870972, 0.4511164128780365, 0.11006221920251846, 1.687300682067871, 1.1118208169937134, 0.13467688858509064, -1.2610834836959839, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07905034720897675, -0.29991966485977173, 0.172428160905838, -0.16242648661136627, 0.8723102807998657, 0.3898354470729828, 0.09661632776260376, 1.4433603286743164, 0.8380113840103149, 0.02055799961090088, -0.8908589482307434, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07604125887155533, -0.31135883927345276, 0.16845008730888367, -0.16373561322689056, 0.8719377517700195, 0.38640546798706055, 0.10830709338188171, 1.4382176399230957, 0.8349003791809082, 0.025386745110154152, -0.8939222097396851, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F002
do you have two forms of ID with you?
4
neutral
0.075
9
1
null
null
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.0060748206451535225, -0.18095234036445618, 0.1601356863975525, -0.08995228260755539, 0.8455674648284912, 0.39906778931617737, 0.026055874302983284, 1.3642619848251343, 0.8495775461196899, 0.018809644505381584, -0.9180970788002014, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.06120689585804939, -0.2008366882801056, 0.20830221474170685, -0.03453364223241806, 0.7478538751602173, 0.36836785078048706, 0.10689094662666321, 1.2063130140304565, 0.852217435836792, 0.00707648228853941, -0.7581544518470764, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.07824312895536423, -0.18726865947246552, 0.2143312245607376, 0.00557723268866539, 0.7648066878318787, 0.412352055311203, 0.09424727410078049, 1.2027552127838135, 0.8459028601646423, 0.010779234580695629, -0.8262762427330017, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.03843783587217331, -0.18702873587608337, 0.20786598324775696, -0.03341607004404068, 0.7121447324752808, 0.32020461559295654, 0.0798908919095993, 1.1484525203704834, 0.8365551233291626, -0.0056920843198895454, -0.72358238697052, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.06736930459737778, -0.19426533579826355, 0.20077748596668243, -0.015506917610764503, 0.7410226464271545, 0.38082703948020935, 0.10463055968284607, 1.190138339996338, 0.8414584994316101, 0.010734975337982178, -0.7829720377922058, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.05198504775762558, -0.20045797526836395, 0.20145200192928314, -0.03788430616259575, 0.7174338698387146, 0.33657780289649963, 0.09390437602996826, 1.1579780578613281, 0.8366965651512146, 0.0024361880496144295, -0.7330818772315979, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.14044824242591858, -0.22238533198833466, 0.2982563078403473, -0.05779709294438362, 0.9515479803085327, 0.4169737994670868, 0.027162233367562294, 1.3955634832382202, 0.9635335206985474, 0.03160516917705536, -0.9758740663528442, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.14862869679927826, -0.2535799443721771, 0.4605312943458557, -0.12453761696815491, 1.1889722347259521, 0.4456126391887665, -0.006090475246310234, 1.6595349311828613, 1.1221120357513428, -0.04072357341647148, -1.1110533475875854, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.06361956149339676, -0.19772356748580933, 0.21206043660640717, -0.03081550821661949, 0.7450469732284546, 0.36551153659820557, 0.09924513101577759, 1.2058022022247314, 0.8531428575515747, 0.004415417555719614, -0.7535214424133301, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.061818815767765045, -0.1997424066066742, 0.20941747725009918, -0.033062662929296494, 0.7454934120178223, 0.3668213188648224, 0.10404397547245026, 1.2043184041976929, 0.8518790006637573, 0.00630934489890933, -0.7555562257766724, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F003
I actually need two forms of ID. I need either a passport or a birth certificate, or social security card. I'm sorry.
4
neutral
0.075
513
0.691074
null
null
0
0
0.471405
null
null
0
4
3
3
3
3
[ { "feats": [ 0.04148448631167412, -0.16637961566448212, 0.21896731853485107, 0.005191446747630835, 0.7430830597877502, 0.36904487013816833, 0.06526748836040497, 1.1651310920715332, 0.8506888747215271, 0.005585244856774807, -0.7916833162307739, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.08466748893260956, -0.2957378625869751, 0.22290389239788055, -0.10418155044317245, 0.9180916547775269, 0.6023942232131958, 0.1188756600022316, 1.8357564210891724, 0.9106599688529968, -0.18702740967273712, -0.6396269798278809, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.06468693912029266, -0.32228028774261475, 0.21518933773040771, -0.007099032402038574, 0.991420567035675, 0.5712950229644775, 0.10789626091718674, 1.745179295539856, 0.9946471452713013, -0.29313358664512634, -0.7599987387657166, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.04183625802397728, -0.33329787850379944, 0.24278712272644043, -0.15363773703575134, 1.0526584386825562, 0.5798824429512024, 0.11099469661712646, 1.8906543254852295, 1.0268481969833374, -0.19468413293361664, -0.5996469259262085, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07286407053470612, -0.27615073323249817, 0.2617620527744293, -0.04277191683650017, 0.9845764636993408, 0.6100893020629883, 0.08922545611858368, 1.8511416912078857, 0.9747586846351624, -0.2669617235660553, -0.6946942806243896, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07485559582710266, -0.32203567028045654, 0.21367114782333374, -0.14317433536052704, 0.9734856486320496, 0.5844486951828003, 0.1265891045331955, 1.8930903673171997, 0.9308747053146362, -0.17233160138130188, -0.6260020136833191, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.053194452077150345, -0.3247394263744354, 0.23018884658813477, -0.1581002175807953, 1.1245882511138916, 0.5931878089904785, 0.1413525640964508, 1.898244023323059, 1.1911768913269043, -0.3167547583580017, -0.8714617490768433, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ -0.022079048678278923, -0.276666522026062, 0.2827700972557068, -0.18615791201591492, 1.3281807899475098, 0.7607338428497314, 0.27843111753463745, 2.055800676345825, 1.187436819076538, -0.05730047449469566, -1.047312617301941, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.058560971170663834, -0.303363174200058, 0.20960694551467896, -0.11094491183757782, 0.9384426474571228, 0.606374979019165, 0.11295259743928909, 1.844178318977356, 0.9204010963439941, -0.19171321392059326, -0.6312434077262878, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ 0.07474087178707123, -0.29795563220977783, 0.21561796963214874, -0.10682743042707443, 0.9282490015029907, 0.6057694554328918, 0.11417334526777267, 1.8375071287155151, 0.917510986328125, -0.18946577608585358, -0.6371996402740479, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3
5
0
4
Ses02M_impro01_F004
Well
4
neutral
0.075
321
0.75
-0.333333
0
0
0
0
null
null
null
4
3
3
3
3
[ { "feats": [ -0.07544191181659698, -0.39117884635925293, 0.24262753129005432, -0.05225495249032974, 1.056312918663025, 0.6327367424964905, 0.18459783494472504, 1.8802658319473267, 0.9750012159347534, -0.2543155550956726, -0.6675978899002075, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.11152850836515427, -0.23002026975154877, 0.1663690060377121, -0.09962105005979538, 0.7964834570884705, 0.4020686149597168, 0.14398406445980072, 1.289945363998413, 0.785289466381073, 0.01806088164448738, -0.6951546669006348, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.11003069579601288, -0.21055404841899872, 0.17997121810913086, -0.060406267642974854, 0.8347505927085876, 0.4440734088420868, 0.11894065141677856, 1.3135697841644287, 0.7975038290023804, 0.014197682961821556, -0.7603911757469177, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.106822170317173, -0.20703481137752533, 0.18291616439819336, -0.06951742619276047, 0.7748885750770569, 0.36086076498031616, 0.1015172079205513, 1.2344030141830444, 0.7794017791748047, 0.022061116993427277, -0.6729475259780884, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.11216635257005692, -0.22168375551700592, 0.1673417091369629, -0.08049549162387848, 0.807344377040863, 0.4203524589538574, 0.13240718841552734, 1.299953579902649, 0.7890141010284424, 0.0189523883163929, -0.7218860387802124, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.111778624355793, -0.23559342324733734, 0.1721668243408203, -0.09931807219982147, 0.7810778021812439, 0.37606102228164673, 0.1304873824119568, 1.2638249397277832, 0.7822612524032593, 0.022405486553907394, -0.6668489575386047, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.15735295414924622, -0.2506352663040161, 0.20733441412448883, -0.10919807106256485, 0.9970226883888245, 0.43456947803497314, 0.0362953320145607, 1.436591386795044, 0.9154840707778931, 0.028152253478765488, -0.9361169934272766, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.21978826820850372, -0.29608213901519775, 0.3501398265361786, -0.22240173816680908, 1.3083645105361938, 0.5256528854370117, -0.007623961195349693, 1.7265918254852295, 1.0591951608657837, -0.026697635650634766, -1.1790521144866943, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.11035874485969543, -0.2252112776041031, 0.16762900352478027, -0.09411641210317612, 0.7957110404968262, 0.40296947956085205, 0.13996641337871552, 1.2893154621124268, 0.7878907918930054, 0.017031921073794365, -0.6956197619438171, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.11122073233127594, -0.22818523645401, 0.16617491841316223, -0.09762904793024063, 0.7960938811302185, 0.40285637974739075, 0.14283156394958496, 1.2888590097427368, 0.7862375974655151, 0.018162887543439865, -0.695695698261261, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.5
3
6.25
0
4
Ses02M_impro01_F005
I- I can take your driver's license but I need another form of ID in order to process this paper work.
4
neutral
0.3
3,267
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
3.5
3
[ { "feats": [ 0.09198560565710068, -0.18049126863479614, 0.15704649686813354, -0.050860922783613205, 0.8084653615951538, 0.41282591223716736, 0.08517446368932724, 1.240267038345337, 0.8094423413276672, 0.005167181603610516, -0.746364951133728, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.12255290150642395, -0.13541260361671448, 0.1042444035410881, -0.030400685966014862, 0.95005202293396, 0.5348329544067383, 0.302238404750824, 1.4251492023468018, 0.8234944343566895, -0.0421578548848629, -1.0488991737365723, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.10457135736942291, -0.13657091557979584, 0.1065557673573494, -0.0072895498014986515, 0.9944846630096436, 0.5722845792770386, 0.2909106910228729, 1.4152555465698242, 0.8385323882102966, -0.04998157173395157, -1.130833625793457, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.10055799782276154, -0.16662882268428802, 0.10588736087083817, -0.03660034388303757, 0.8899792432785034, 0.458004891872406, 0.25448042154312134, 1.352957844734192, 0.8140982389450073, -0.023867864161729813, -0.9786273241043091, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.1121603399515152, -0.13545459508895874, 0.09731604158878326, -0.007440084125846624, 0.9695196151733398, 0.5545345544815063, 0.2963528335094452, 1.4152636528015137, 0.8239964246749878, -0.05711553618311882, -1.0810225009918213, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.11234430223703384, -0.1554599404335022, 0.10992254316806793, -0.032822150737047195, 0.9113935828208923, 0.4904569387435913, 0.2702986001968384, 1.3672791719436646, 0.8144985437393188, -0.02995404414832592, -1.003404974937439, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.0844653770327568, -0.2181187868118286, 0.25670325756073, -0.07955512404441833, 1.4712767601013184, 0.567926287651062, 0.17305439710617065, 1.7698739767074585, 1.0870952606201172, -0.02023574896156788, -1.5108720064163208, 0.0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ -0.014584947377443314, -0.24387945234775543, 0.3574584126472473, -0.2993339002132416, 1.759823203086853, 0.7206918001174927, 0.22208817303180695, 2.304054021835327, 1.2945319414138794, -0.12315459549427032, -1.5672411918640137, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.11343813687562943, -0.13392587006092072, 0.10205759853124619, -0.025587791576981544, 0.9479159116744995, 0.5264213681221008, 0.2957308888435364, 1.4227986335754395, 0.8244308233261108, -0.04371529072523117, -1.0434256792068481, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.1185246929526329, -0.1338670551776886, 0.10223489999771118, -0.027608761563897133, 0.9460351467132568, 0.5301508903503418, 0.2993195354938507, 1.4175117015838623, 0.8220061659812927, -0.042683955281972885, -1.0436136722564697, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
2.5
5
-1.25
4
Ses02M_impro01_F006
Um, that you would need to go home and get another form of ID and come back.
4
neutral
0.25
3,268
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
2.5
[ { "feats": [ 0.04130372777581215, -0.14027129113674164, 0.10710876435041428, 0.020306924358010292, 0.945784330368042, 0.4908583164215088, 0.23670276999473572, 1.3650157451629639, 0.8350076675415039, -0.06392862647771835, -1.0558793544769287, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.038420457392930984, -0.16668395698070526, 0.22856663167476654, 0.01503358781337738, 0.7359612584114075, 0.5241615176200867, 0.15298312902450562, 1.0346574783325195, 0.8518089652061462, -0.021531488746404648, -0.7449933290481567, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.07934827357530594, -0.1544392853975296, 0.19786356389522552, 0.025808202102780342, 0.7062920331954956, 0.5509634017944336, 0.13630133867263794, 0.9824860692024231, 0.8091096878051758, -0.06410447508096695, -0.8009557723999023, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.05957397073507309, -0.1534900665283203, 0.20054951310157776, 0.009360120631754398, 0.7568817734718323, 0.48876774311065674, 0.11478888243436813, 1.0121270418167114, 0.8719601631164551, -0.07253757119178772, -0.7117459177970886, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.055020298808813095, -0.16047129034996033, 0.22003522515296936, 0.023026715964078903, 0.6991894245147705, 0.5409197211265564, 0.1510312706232071, 0.9908022284507751, 0.8272268176078796, -0.035875335335731506, -0.779097318649292, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.04696882143616676, -0.15539675951004028, 0.23482021689414978, 0.005181873682886362, 0.7688999772071838, 0.519435703754425, 0.1253642588853836, 1.049147129058838, 0.8751055002212524, -0.04925180599093437, -0.7335440516471863, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.1582641452550888, -0.15183579921722412, 0.20371977984905243, -0.11621216684579849, 1.0887384414672852, 0.5963611602783203, 0.2359984815120697, 1.332537055015564, 1.1528352499008179, 0.02189536765217781, -1.0128940343856812, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.23998698592185974, -0.13231387734413147, 0.22650282084941864, -0.18557269871234894, 1.2411376237869263, 0.6253352165222168, 0.3085799217224121, 1.494363784790039, 1.2241019010543823, 0.05858609452843666, -1.0537538528442383, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.04125121980905533, -0.1663810908794403, 0.2278871387243271, 0.017224391922354698, 0.7377839684486389, 0.5260559320449829, 0.15181641280651093, 1.0347431898117065, 0.8542381525039673, -0.026410439983010292, -0.7452903985977173, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.03930287063121796, -0.16630928218364716, 0.22781872749328613, 0.016508914530277252, 0.7367977499961853, 0.5246047973632812, 0.1520797312259674, 1.034269094467163, 0.8523120880126953, -0.024580728262662888, -0.7447696924209595, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
4
Ses02M_impro01_F015
I'm sorry, sir.
4
neutral
0.125
7,248
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.04878801107406616, -0.1456129550933838, 0.2145327776670456, 0.0329303964972496, 0.7523562908172607, 0.5421541929244995, 0.11622562259435654, 1.0241369009017944, 0.8448759913444519, -0.040436819195747375, -0.7423202991485596, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.10834681242704391, -0.3041419982910156, 0.1521722376346588, -0.0911828801035881, 0.8888607621192932, 0.30573147535324097, 0.15195496380329132, 1.501605749130249, 0.9130818247795105, -0.13458359241485596, -0.5035574436187744, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.16204321384429932, -0.28974243998527527, 0.1741989552974701, -0.05738624185323715, 0.9350051879882812, 0.359115868806839, 0.15039722621440887, 1.5374501943588257, 0.9171656966209412, -0.14011350274085999, -0.5667116045951843, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.1474676877260208, -0.23844890296459198, 0.11438071727752686, -0.054070159792900085, 0.8358558416366577, 0.3012932240962982, 0.12880010902881622, 1.3212379217147827, 0.8928507566452026, -0.14626096189022064, -0.5564789772033691, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.13318033516407013, -0.30662301182746887, 0.14969418942928314, -0.10360884666442871, 0.9128272533416748, 0.3218071460723877, 0.15823602676391602, 1.53300940990448, 0.9169857501983643, -0.13879315555095673, -0.5000997185707092, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.10817106813192368, -0.28556177020072937, 0.14446023106575012, -0.08227190375328064, 0.8790164589881897, 0.3003665506839752, 0.11706209182739258, 1.4360387325286865, 0.9067074060440063, -0.13354194164276123, -0.5067523121833801, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.1770540326833725, -0.18326206505298615, 0.20714111626148224, -0.025463338941335678, 0.966374397277832, 0.37839898467063904, 0.13629251718521118, 1.4413820505142212, 0.9258716106414795, -0.14014862477779388, -0.673444390296936, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.2435155212879181, -0.10882008820772171, 0.2854224443435669, -0.12858372926712036, 1.2483230829238892, 0.506673276424408, 0.18028275668621063, 1.6894820928573608, 1.198998212814331, -0.17482566833496094, -0.7166556119918823, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.11002829670906067, -0.3022640645503998, 0.15194155275821686, -0.09085524827241898, 0.8900942802429199, 0.3067585527896881, 0.15160098671913147, 1.5028504133224487, 0.9144248366355896, -0.13513074815273285, -0.5035353899002075, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.10888036340475082, -0.3034403622150421, 0.1521414816379547, -0.0901372954249382, 0.8896574378013611, 0.3059518039226532, 0.15108661353588104, 1.5004993677139282, 0.9132910370826721, -0.13466188311576843, -0.5045846104621887, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
4
Ses02M_impro01_F016
there is nothing I can do.
4
neutral
0.25
8,523
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.14665673673152924, -0.25899726152420044, 0.14030827581882477, -0.03954741358757019, 0.8967574238777161, 0.32911065220832825, 0.11827867478132248, 1.4149222373962402, 0.9074324369430542, -0.10312017798423767, -0.5443920493125916, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }