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
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.048715949058532715, -0.2452581524848938, 0.2590051293373108, -0.16943514347076416, 1.1144567728042603, 0.6001223921775818, 0.18081459403038025, 1.5171724557876587, 0.9132769703865051, 0.002762864576652646, -0.5641894340515137, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.03558319807052612, -0.24684201180934906, 0.25710445642471313, -0.13398410379886627, 1.0301276445388794, 0.6073837280273438, 0.17626531422138214, 1.4359638690948486, 0.8641765117645264, -0.05223286896944046, -0.6197397112846375, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.057644322514534, -0.17638356983661652, 0.3115362524986267, -0.0709080696105957, 1.172194004058838, 0.5943315625190735, 0.11133401095867157, 1.5959057807922363, 0.951499342918396, -0.12705227732658386, -0.5955248475074768, 0.0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.011508691124618053, -0.24947011470794678, 0.2708941400051117, -0.16048836708068848, 1.0995995998382568, 0.6150590777397156, 0.18118779361248016, 1.479023814201355, 0.895760715007782, -0.03811964392662048, -0.610004186630249, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.027510613203048706, -0.2301361858844757, 0.2630097568035126, -0.16306515038013458, 1.1057418584823608, 0.5827863812446594, 0.18280883133411407, 1.5115691423416138, 0.8975076675415039, -0.02057335339486599, -0.5848971009254456, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.1827719658613205, -0.10664083808660507, 0.4080698490142822, -0.1303195059299469, 1.2908225059509277, 0.6903571486473083, 0.14939093589782715, 1.5654792785644531, 1.0217928886413574, 0.0029169258195906878, -0.7954524159431458, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.23545634746551514, -0.07652818411588669, 0.40186622738838196, -0.12899065017700195, 1.5039129257202148, 0.7985594868659973, 0.26382872462272644, 1.7431985139846802, 1.1669760942459106, 0.005366930738091469, -0.9945729970932007, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.04995131120085716, -0.24521228671073914, 0.25838175415992737, -0.16975009441375732, 1.1142290830612183, 0.6004213690757751, 0.1797565221786499, 1.516659140586853, 0.9131028056144714, 0.0024921775329858065, -0.5641434788703918, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.04851294308900833, -0.24484513700008392, 0.2588232457637787, -0.16950193047523499, 1.1144121885299683, 0.6001148819923401, 0.18070891499519348, 1.516798973083496, 0.9132182598114014, 0.0022097488399595022, -0.5642181634902954, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F001
All right, sir.
4
neutral
0.55
5,177
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.08827744424343109, -0.19885361194610596, 0.27385953068733215, -0.11690587550401688, 1.050520658493042, 0.5902191400527954, 0.14312432706356049, 1.4224048852920532, 0.8949134349822998, -0.0032786130905151367, -0.5944737792015076, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.06494171172380447, -0.16758917272090912, 0.19524897634983063, -0.09832585602998734, 0.6210114359855652, 0.3493398129940033, -0.007599139120429754, 1.1462804079055786, 0.7197912931442261, 0.054462824016809464, -0.8452556133270264, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.06678304821252823, -0.1525215059518814, 0.21164676547050476, -0.08481210470199585, 0.6253107190132141, 0.3781403601169586, -0.03993573784828186, 1.1318291425704956, 0.7171863317489624, 0.04309523478150368, -0.8589531183242798, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.036196328699588776, -0.16122117638587952, 0.18578384816646576, -0.09047747403383255, 0.6106047034263611, 0.3067322075366974, -0.020822804421186447, 1.1236835718154907, 0.7199628353118896, 0.038744598627090454, -0.7977771162986755, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.0669955387711525, -0.16171066462993622, 0.19833829998970032, -0.0846792608499527, 0.6193235516548157, 0.3650926947593689, -0.009693940170109272, 1.1360987424850464, 0.7117218375205994, 0.05425954982638359, -0.8663349747657776, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.052614375948905945, -0.16604530811309814, 0.17983552813529968, -0.08642660081386566, 0.6145312786102295, 0.3247673213481903, 0.0032935284543782473, 1.1262632608413696, 0.7170889377593994, 0.05224866792559624, -0.8209154009819031, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.11705926805734634, -0.15009021759033203, 0.20978176593780518, -0.0655222088098526, 0.7469694018363953, 0.39992856979370117, -0.09092075377702713, 1.231054663658142, 0.812383234500885, 0.06745123118162155, -0.9388139247894287, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.16555674374103546, -0.18615028262138367, 0.30643370747566223, -0.06362109631299973, 1.04326593875885, 0.4847281873226166, -0.13005028665065765, 1.5145766735076904, 0.9900262951850891, 0.08688326925039291, -1.111187219619751, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.06482953578233719, -0.16736221313476562, 0.19487901031970978, -0.09787679463624954, 0.6207705140113831, 0.3493676483631134, -0.007737324573099613, 1.1459466218948364, 0.7198760509490967, 0.05461891368031502, -0.845181941986084, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.06486859917640686, -0.16726447641849518, 0.1952458620071411, -0.09819608926773071, 0.620604932308197, 0.34915047883987427, -0.008172337897121906, 1.1455596685409546, 0.7196333408355713, 0.05434815213084221, -0.8449097871780396, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F002
I completely understand. Automated systems are very difficult sometimes.
4
neutral
0.775
7,346
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
4
[ { "feats": [ 0.061241377145051956, -0.1576567441225052, 0.19378361105918884, -0.07446496188640594, 0.6056256294250488, 0.3409111201763153, -0.028810815885663033, 1.0919215679168701, 0.7180168628692627, 0.06125963106751442, -0.8403079509735107, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.10393267124891281, -0.2012365758419037, 0.14260123670101166, -0.062153469771146774, 0.6603369116783142, 0.3839888572692871, 0.10521230846643448, 1.271111011505127, 0.7191621661186218, 0.02660161629319191, -0.6329602003097534, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.10486271977424622, -0.19750502705574036, 0.14373892545700073, -0.039342883974313736, 0.6616488099098206, 0.41304537653923035, 0.07688160240650177, 1.2608824968338013, 0.7076728940010071, 0.022159099578857422, -0.6739153861999512, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.09215540438890457, -0.19031471014022827, 0.12584669888019562, -0.07468745857477188, 0.6452621817588806, 0.3467000424861908, 0.06780842691659927, 1.2679073810577393, 0.7169541120529175, 0.013042248785495758, -0.5928635001182556, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.10341832786798477, -0.20312930643558502, 0.1549244523048401, -0.055991433560848236, 0.658195972442627, 0.402607262134552, 0.09488848596811295, 1.2633472681045532, 0.7185869216918945, 0.02231290563941002, -0.6510270237922668, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.09594310820102692, -0.2002110630273819, 0.13470788300037384, -0.07309899479150772, 0.6513472199440002, 0.36837419867515564, 0.08591606467962265, 1.2751727104187012, 0.719801664352417, 0.02109900489449501, -0.6069592833518982, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.09865075349807739, -0.17222680151462555, 0.1315963715314865, -0.011611659079790115, 0.6866016387939453, 0.36625921726226807, 0.05021632835268974, 1.2488600015640259, 0.7586040496826172, -0.0435565784573555, -0.6795268058776855, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.11323152482509613, -0.19430269300937653, 0.20837731659412384, -0.011417040601372719, 0.8393625020980835, 0.41554269194602966, 0.050823014229536057, 1.4551054239273071, 0.862709105014801, -0.0575142465531826, -0.7566909193992615, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.10390488058328629, -0.20066744089126587, 0.14229005575180054, -0.06149784103035927, 0.6599346399307251, 0.38381078839302063, 0.10396822541952133, 1.2712417840957642, 0.7188349366188049, 0.026305224746465683, -0.6327425837516785, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.10387682914733887, -0.20085550844669342, 0.14224551618099213, -0.06181487441062927, 0.6600466966629028, 0.38380956649780273, 0.10480359196662903, 1.2708733081817627, 0.7188380360603333, 0.026475319638848305, -0.6329045295715332, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3
4
5
1.25
4
Ses02F_impro08_F004
Oh, yeah, absolutely. You know, and especially because you've been waiting so long and I know that, um, you've been having a difficult time.
4
neutral
0.4
3,392
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
[ { "feats": [ 0.09608683735132217, -0.18642441928386688, 0.14899185299873352, -0.048359282314777374, 0.6511446237564087, 0.3788256049156189, 0.0745416060090065, 1.2506396770477295, 0.7240044474601746, 0.00792380515486002, -0.6294016242027283, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.1207185685634613, -0.1698068529367447, 0.12638838589191437, -0.013566724956035614, 0.6405637860298157, 0.32206058502197266, 0.07611280679702759, 1.2587426900863647, 0.7588151097297668, 0.03201359510421753, -0.6563908457756042, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.10528213530778885, -0.1523241549730301, 0.12836618721485138, 0.015728715807199478, 0.6256994605064392, 0.34273430705070496, 0.08432309329509735, 1.2352428436279297, 0.7316383719444275, 0.016183702275156975, -0.6988010406494141, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.11957883089780807, -0.17959150671958923, 0.1276872307062149, -0.017355943098664284, 0.6174302101135254, 0.286926805973053, 0.0735931470990181, 1.202983021736145, 0.7520166635513306, 0.030402367934584618, -0.6241892576217651, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.11814629286527634, -0.1578965038061142, 0.12641757726669312, 0.006708516739308834, 0.632570743560791, 0.3276347219944, 0.07631446421146393, 1.2505180835723877, 0.7454932928085327, 0.027950529009103775, -0.6655025482177734, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.11889998614788055, -0.17037729918956757, 0.1313181221485138, -0.012388036586344242, 0.6343139410018921, 0.3032260835170746, 0.06755747646093369, 1.239488959312439, 0.7611696124076843, 0.030262064188718796, -0.630861222743988, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.15710969269275665, -0.18720735609531403, 0.15545181930065155, -0.04209679365158081, 0.7332987189292908, 0.3485235571861267, 0.04427098482847214, 1.3161530494689941, 0.8057628273963928, -0.012940296903252602, -0.784371554851532, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.16234661638736725, -0.16929784417152405, 0.24291366338729858, -0.08882886171340942, 0.9153544306755066, 0.35184529423713684, 0.032090701162815094, 1.5821064710617065, 0.9069106578826904, -0.07305103540420532, -0.8604902029037476, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.12061972916126251, -0.1695648431777954, 0.12636494636535645, -0.013203072361648083, 0.6404536962509155, 0.32204505801200867, 0.07603193819522858, 1.2582722902297974, 0.7586988806724548, 0.03183464705944061, -0.6566774845123291, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.12067504972219467, -0.1696864366531372, 0.12644439935684204, -0.013364626094698906, 0.640518844127655, 0.32192564010620117, 0.07619571685791016, 1.2584166526794434, 0.7585837244987488, 0.03201807662844658, -0.656428337097168, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
4
5
2.5
4
Ses02F_impro08_F005
I want to definitely give you our special package today, which um is usually only for valued customers who have a record of having previous,
4
neutral
0.775
464
0.691074
null
null
0
0
0.471405
null
null
0
4
3
4
3
4
[ { "feats": [ 0.11653678864240646, -0.16010592877864838, 0.11220093071460724, 0.008691287599503994, 0.6262596845626831, 0.3164317309856415, 0.05971080809831619, 1.2094343900680542, 0.7478101253509521, 0.02610943838953972, -0.6653932929039001, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.15123428404331207, -0.25992584228515625, 0.11259838193655014, -0.04919186234474182, 0.7026154398918152, 0.44332578778266907, 0.10184189677238464, 1.4827611446380615, 0.8857192397117615, -0.04404182732105255, -0.6865383386611938, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.13741782307624817, -0.250511109828949, 0.10696446150541306, -0.008267119526863098, 0.7042375206947327, 0.47874242067337036, 0.1128574013710022, 1.474282145500183, 0.8735698461532593, -0.04117042198777199, -0.7378025054931641, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.1587906777858734, -0.2581233084201813, 0.09796478599309921, -0.038440823554992676, 0.6800277829170227, 0.38950270414352417, 0.08397582918405533, 1.4196356534957886, 0.8642241954803467, -0.055252205580472946, -0.6448022723197937, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.15041805803775787, -0.25539684295654297, 0.10624612867832184, -0.03383515775203705, 0.7081053256988525, 0.4646558463573456, 0.09697384387254715, 1.4856441020965576, 0.8869455456733704, -0.04532722383737564, -0.7102524042129517, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.15728634595870972, -0.25824397802352905, 0.10726303607225418, -0.045908063650131226, 0.7061190605163574, 0.4269030690193176, 0.09350261092185974, 1.4720715284347534, 0.8832918405532837, -0.04832485690712929, -0.6708731651306152, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.13138817250728607, -0.25157222151756287, 0.14832113683223724, -0.08689001947641373, 0.8064077496528625, 0.46214058995246887, 0.10102187842130661, 1.5590436458587646, 0.9186861515045166, -0.029627133160829544, -0.8150690793991089, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.12240798771381378, -0.24048775434494019, 0.23206846415996552, -0.15025435388088226, 0.9994919896125793, 0.4732225239276886, 0.10901612043380737, 1.772142767906189, 1.0517604351043701, -0.0728592500090599, -0.9217737913131714, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.15091201663017273, -0.25940459966659546, 0.11208508908748627, -0.04748118668794632, 0.7030155658721924, 0.44330325722694397, 0.10109925270080566, 1.4849528074264526, 0.8865191340446472, -0.0442473366856575, -0.686346173286438, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.15123918652534485, -0.2593812644481659, 0.11212126165628433, -0.04821931943297386, 0.7028506994247437, 0.44331052899360657, 0.10186396539211273, 1.4834601879119873, 0.886003315448761, -0.0438249371945858, -0.6861757636070251, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3.5
4
6.25
1.25
4
Ses02F_impro08_F006
um lots of purchases, but we're gonna go ahead and give that to you anyway. uh, Just to make sure that you're happy with your service here.
4
neutral
0.625
8,730
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
3.5
4
[ { "feats": [ 0.13397376239299774, -0.245756596326828, 0.10290642827749252, -0.018993932753801346, 0.6996999382972717, 0.44768285751342773, 0.09277553111314774, 1.423154354095459, 0.8782140016555786, -0.05321948975324631, -0.7109516859054565, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.03431270644068718, -0.4652960002422333, 0.046824559569358826, -0.06129536032676697, 0.9111549854278564, 0.4541836082935333, 0.17911650240421295, 1.6217141151428223, 0.9021778702735901, -0.19986429810523987, -0.5187332630157471, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.05785299092531204, -0.4462888538837433, 0.031685687601566315, -0.07802575081586838, 0.9124321937561035, 0.5928179621696472, 0.11523369699716568, 1.6162623167037964, 0.9050613045692444, -0.23202389478683472, -0.6127409934997559, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.0016213273629546165, -0.41395533084869385, -0.010819950141012669, -0.0803910568356514, 0.809247612953186, 0.3841758668422699, 0.13637886941432953, 1.5074390172958374, 0.8349458575248718, -0.15138359367847443, -0.5274983048439026, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.07344657182693481, -0.44880831241607666, 0.05236149579286575, -0.060513995587825775, 0.9359821677207947, 0.47756654024124146, 0.15965797007083893, 1.5575997829437256, 0.8886508345603943, -0.19068661332130432, -0.5334131717681885, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.017074240371584892, -0.457977294921875, 0.025138288736343384, -0.08422683924436569, 0.9313936829566956, 0.401507705450058, 0.17034348845481873, 1.6132615804672241, 0.9040348529815674, -0.19684624671936035, -0.49879568815231323, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.05675467476248741, -0.4622544050216675, -0.014262879267334938, -0.20820112526416779, 1.124029517173767, 0.4937964975833893, 0.18969090282917023, 1.7390007972717285, 1.0546488761901855, -0.2286902517080307, -0.6749832034111023, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ 0.050718776881694794, -0.46253645420074463, -0.027309972792863846, -0.27459949254989624, 1.1461654901504517, 0.506889820098877, 0.2365848422050476, 1.7203528881072998, 1.0507657527923584, -0.23222891986370087, -0.7395912408828735, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.03520452603697777, -0.4644162058830261, 0.04559141397476196, -0.060325395315885544, 0.9124085903167725, 0.45726078748703003, 0.17713558673858643, 1.6279879808425903, 0.9060394167900085, -0.20079240202903748, -0.5190061330795288, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.034653350710868835, -0.46475350856781006, 0.04621821641921997, -0.060658250004053116, 0.9118956327438354, 0.4554586708545685, 0.17872749269008636, 1.6246919631958008, 0.9038084149360657, -0.20016232132911682, -0.5190193057060242, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
3.5
3.75
2.5
4
Ses02F_impro08_F007
Is that all right?
4
neutral
0.55
3,393
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
3.5
[ { "feats": [ -0.08710025250911713, -0.44056057929992676, 0.00980736780911684, -0.04119688645005226, 0.9183869361877441, 0.4798980951309204, 0.19989131391048431, 1.5422390699386597, 0.928593635559082, -0.2277342677116394, -0.6186979413032532, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.02289464697241783, -0.22507329285144806, 0.14310245215892792, -0.02153986692428589, 0.699524998664856, 0.38668081164360046, 0.1502709537744522, 1.3822580575942993, 0.7926218509674072, -0.07218705862760544, -0.6585299372673035, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.03248574584722519, -0.20438799262046814, 0.16049683094024658, 0.007485402747988701, 0.7068772315979004, 0.42770466208457947, 0.14591901004314423, 1.3867192268371582, 0.7923811078071594, -0.05915958061814308, -0.717345654964447, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.04335378482937813, -0.2301861196756363, 0.1593032032251358, -0.053394243121147156, 0.7242699861526489, 0.356956422328949, 0.14705924689769745, 1.3815319538116455, 0.7998095750808716, -0.10095309466123581, -0.6441123485565186, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.031081244349479675, -0.22520826756954193, 0.15388287603855133, -0.0032007533591240644, 0.7089962959289551, 0.40360328555107117, 0.14991217851638794, 1.3887557983398438, 0.7938463091850281, -0.061116717755794525, -0.681242585182189...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.022734936326742172, -0.21750155091285706, 0.15193824470043182, -0.03734230250120163, 0.7072206139564514, 0.37218382954597473, 0.15173131227493286, 1.3737514019012451, 0.7887277603149414, -0.0856672078371048, -0.651386022567749, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.036580681800842285, -0.2356441766023636, 0.20586533844470978, -0.04261805862188339, 0.8001652956008911, 0.41108688712120056, 0.13205300271511078, 1.4297510385513306, 0.8382543921470642, -0.1629866361618042, -0.7380467057228088, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.00933510810136795, -0.2637041509151459, 0.23154772818088531, -0.060136716812849045, 0.8864604830741882, 0.42223355174064636, 0.14058002829551697, 1.547244906425476, 0.8852394223213196, -0.1834556609392166, -0.7747077345848083, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.022971563041210175, -0.2250184416770935, 0.14317592978477478, -0.021548321470618248, 0.699366569519043, 0.3865455090999603, 0.1500222235918045, 1.3817709684371948, 0.7924147248268127, -0.07220492511987686, -0.658563494682312, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.02286108396947384, -0.22497880458831787, 0.14300955832004547, -0.021461717784404755, 0.699533998966217, 0.38667112588882446, 0.15021005272865295, 1.3820948600769043, 0.7925869822502136, -0.07210515439510345, -0.6586345434188843, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
3.5
5
2.5
4
Ses02F_impro08_F008
I can do that right now for you. No, absolutely. I can take care of you all the way through to the end.
4
neutral
0.625
5,538
0.382149
-0.333333
0
0
0.942809
0.471405
null
0
0
4
3
4
3
3.5
[ { "feats": [ -0.038102783262729645, -0.2318001389503479, 0.16112659871578217, -0.017194481566548347, 0.6899071335792542, 0.37567654252052307, 0.13315220177173615, 1.3242321014404297, 0.7833833694458008, -0.10620339959859848, -0.6637568473815918, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.01422636117786169, -0.3231861889362335, 0.21616408228874207, -0.16690027713775635, 0.7265869379043579, 0.35592907667160034, 0.12148196250200272, 1.3893874883651733, 0.7760506868362427, 0.05465196818113327, -0.6119340658187866, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.0214228555560112, -0.29464295506477356, 0.18301895260810852, -0.11726891994476318, 0.6915783882141113, 0.3831033408641815, 0.12064948678016663, 1.301970362663269, 0.7634328007698059, 0.03840183839201927, -0.6764569878578186, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ -0.01262995321303606, -0.32994166016578674, 0.23099471628665924, -0.19156430661678314, 0.74424147605896, 0.3373453617095947, 0.12462051957845688, 1.41698157787323, 0.8037943243980408, 0.047330960631370544, -0.5749537944793701, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.009865342639386654, -0.3098781108856201, 0.20994123816490173, -0.15070709586143494, 0.7177005410194397, 0.37320244312286377, 0.12611034512519836, 1.3519700765609741, 0.7802377343177795, 0.051934294402599335, -0.6405895352363586, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ -0.0026140199042856693, -0.3348720371723175, 0.2292049676179886, -0.18752455711364746, 0.7416091561317444, 0.3432781994342804, 0.12081965804100037, 1.4040275812149048, 0.7895960211753845, 0.05184239149093628, -0.5878927707672119, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.0012618786422535777, -0.32417142391204834, 0.24194158613681793, -0.15808546543121338, 0.8471193909645081, 0.35871392488479614, 0.06017430126667023, 1.433305025100708, 0.8759620189666748, 0.054365772753953934, -0.7357616424560547, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.010211142711341381, -0.33302873373031616, 0.2820392847061157, -0.15502135455608368, 0.9319940209388733, 0.3992118239402771, 0.08904978632926941, 1.5258674621582031, 0.9261022806167603, 0.07295133173465729, -0.786034345626831, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.014338338747620583, -0.32345065474510193, 0.21586650609970093, -0.16619418561458588, 0.7265115976333618, 0.35609301924705505, 0.12111799418926239, 1.3886635303497314, 0.7758890390396118, 0.05424599349498749, -0.6119562387466431, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
4
neutral
0.2
932
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3.5
3
3
[ { "feats": [ 0.014026408083736897, -0.3232172429561615, 0.2158491462469101, -0.16638240218162537, 0.7265459299087524, 0.35613811016082764, 0.1216043010354042, 1.3883899450302124, 0.7759249210357666, 0.05447978526353836, -0.6121881604194641, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3
3
5
1.25
4
Ses02F_impro08_F009
All I'm going to need is your credit card number but just give me one moment. So-
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neutral
0.2
932
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null
null
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3
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low_pass
low_pass_filter
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
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baseline
baseline
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
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speed_0.9
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
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speed_1.1
speed_perturbation
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
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null
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speed_0.95
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
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null
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speed_1.05
speed_perturbation
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1.25
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
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light_noise
gaussian_noise
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
3,394
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3
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medium_noise
gaussian_noise
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Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
3,394
0.421433
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4
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volume_down
volume_scale
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3
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5
1.25
4
Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
3,394
0.421433
-0.333333
0
0.471405
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0.471405
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null
0
4
3
3.5
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volume_up
volume_scale
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0
3.5
3
4
5
1.25
4
Ses02F_impro08_F010
um, you're scheduling a flight as well--And you would like to, um, we have a highly discounted hotel rate that goes along with that so that everything is all in one deal. You're taken care of by the time that you get there.
4
neutral
0.4
3,394
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
3.5
3
4
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low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
3.5
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baseline
baseline
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
0.471405
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0
0
4
3
3.5
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speed_0.9
speed_perturbation
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
0.471405
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0
0
4
3
3.5
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speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
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0.471405
0.471405
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0
0
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3
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speed_0.95
speed_perturbation
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
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0
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speed_1.05
speed_perturbation
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
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0.471405
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0
0
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light_noise
gaussian_noise
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
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3
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medium_noise
gaussian_noise
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
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0
0
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3
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volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
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volume_up
volume_scale
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0
3.5
2.5
3.5
3.75
1.25
4
Ses02F_impro08_F011
Absolutely. we we
4
neutral
0.175
7,347
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
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low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }