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
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.09687214344739914, -0.29123106598854065, 0.26883527636528015, -0.20675534009933472, 1.0469459295272827, 0.4394264221191406, 0.24084000289440155, 1.5742818117141724, 1.018152117729187, -0.17080193758010864, -0.8413213491439819, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.10198051482439041, -0.29909849166870117, 0.2586909830570221, -0.18394793570041656, 1.0597368478775024, 0.485726535320282, 0.23715701699256897, 1.5762689113616943, 1.0161679983139038, -0.15651142597198486, -0.8729720711708069, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.0801762118935585, -0.2886040508747101, 0.24020399153232574, -0.18163709342479706, 0.9304376244544983, 0.345895379781723, 0.21222980320453644, 1.4342800378799438, 0.9710339307785034, -0.157308891415596, -0.7143198251724243, 0....
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.11909309774637222, -0.30075767636299133, 0.2950761318206787, -0.22333432734012604, 1.078964114189148, 0.46190282702445984, 0.25679484009742737, 1.602704644203186, 1.0372027158737183, -0.17519326508045197, -0.8712849617004395, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.12321554869413376, -0.31110143661499023, 0.23914940655231476, -0.18757815659046173, 0.9948924779891968, 0.3848927617073059, 0.20516923069953918, 1.5284037590026855, 1.000638484954834, -0.16067777574062347, -0.7515031695365906, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.20968757569789886, -0.26093748211860657, 0.3126128017902374, -0.16152696311473846, 1.4069849252700806, 0.5573426485061646, 0.15422119200229645, 1.820503830909729, 1.124599814414978, -0.025338971987366676, -1.0111483335494995, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.16674278676509857, -0.08872202783823013, 0.4957614839076996, -0.34607023000717163, 1.716048002243042, 0.8432775139808655, 0.30624112486839294, 2.2647337913513184, 1.2062171697616577, -0.2095268815755844, -1.4394785165786743, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.09116888791322708, -0.28831103444099426, 0.27050864696502686, -0.20090672373771667, 1.041826605796814, 0.4367346167564392, 0.24065406620502472, 1.5687336921691895, 1.0140376091003418, -0.1708981990814209, -0.8332711458206177, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.09359510987997055, -0.29010698199272156, 0.26610586047172546, -0.2021418660879135, 1.041752815246582, 0.4375531077384949, 0.23845002055168152, 1.5679993629455566, 1.0147091150283813, -0.16856566071510315, -0.8366224765777588, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_impro07_M082
that happened, you know, that was going on.
7
neutral
0.125
1,517
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.07097245752811432, -0.2531925439834595, 0.25681349635124207, -0.15069282054901123, 0.9580667018890381, 0.39793989062309265, 0.24295435845851898, 1.4393483400344849, 0.969974160194397, -0.1422286033630371, -0.8117716908454895, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.12322395294904709, -0.2254069596529007, 0.15533700585365295, -0.14894235134124756, 0.731838583946228, 0.3950837552547455, 0.01736743189394474, 1.407594084739685, 0.8016718626022339, -0.028163453564047813, -0.6971213817596436, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.1116255596280098, -0.18171463906764984, 0.1376105546951294, -0.16024382412433624, 0.7414280772209167, 0.45278966426849365, 0.021369418129324913, 1.3685870170593262, 0.7797757983207703, -0.047381266951560974, -0.7715595960617065, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.13774053752422333, -0.2147962599992752, 0.15794868767261505, -0.1469096690416336, 0.727423369884491, 0.34519487619400024, 0.005329268518835306, 1.3824596405029297, 0.8071182370185852, -0.03160915896296501, -0.6601939797401428, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.11759103089570999, -0.20507316291332245, 0.15372510254383087, -0.1513463407754898, 0.7431778907775879, 0.4264051914215088, 0.020258910953998566, 1.3962982892990112, 0.7920206785202026, -0.037214431911706924, -0.7302792072296143, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.13028854131698608, -0.2285606861114502, 0.1638166606426239, -0.15946702659130096, 0.7400071024894714, 0.3755747377872467, 0.002374707954004407, 1.4074162244796753, 0.8178861737251282, -0.03219086676836014, -0.6827253103256226, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.08477286249399185, -0.18433578312397003, 0.16151033341884613, -0.12728235125541687, 0.7892971634864807, 0.4635881185531616, 0.10311457514762878, 1.4634181261062622, 0.8383112549781799, -0.06679891049861908, -0.7972820401191711, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.1357146054506302, -0.16447940468788147, 0.2913491427898407, -0.23282161355018616, 0.9972184300422668, 0.5419180393218994, 0.05251689627766609, 1.7082457542419434, 0.9699277281761169, -0.12917137145996094, -0.9868208765983582, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.12335819751024246, -0.2249731868505478, 0.15507197380065918, -0.14871330559253693, 0.7314046621322632, 0.39478960633277893, 0.017265135422348976, 1.4061739444732666, 0.8013901710510254, -0.02810717560350895, -0.6969916224479675, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.12316419184207916, -0.22509241104125977, 0.15504951775074005, -0.14863161742687225, 0.7318006157875061, 0.39502808451652527, 0.017450613901019096, 1.4065628051757812, 0.8015224933624268, -0.028383230790495872, -0.6973838210105896, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F001
Okay. Well, Did you go through the automated menu? Most of your requests can be taken care of through that.
8
neutral
0.55
4,867
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.10816729813814163, -0.21905498206615448, 0.1572502851486206, -0.1433757245540619, 0.7449173331260681, 0.3915376365184784, 0.008479882031679153, 1.3980015516281128, 0.7991809248924255, -0.030096329748630524, -0.673254668712616, ...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.05430908501148224, -0.33045074343681335, 0.26882925629615784, -0.3036850392818451, 1.1023873090744019, 0.6734566688537598, 0.3426433503627777, 1.8206923007965088, 0.9484781622886658, 0.07161233574151993, -0.8085572123527527, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.006686786655336618, -0.29760023951530457, 0.28787028789520264, -0.17247213423252106, 1.136905550956726, 0.7470566630363464, 0.3120730519294739, 1.8424603939056396, 0.9671561121940613, 0.03991911560297012, -0.8377358317375183, ...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.014552805572748184, -0.30170124769210815, 0.23448261618614197, -0.18018798530101776, 1.0501081943511963, 0.5161335468292236, 0.26503875851631165, 1.7398964166641235, 0.980384111404419, -0.022211279720067978, -0.7001037001609802, ...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.08590701967477798, -0.352878212928772, 0.31185322999954224, -0.2757229804992676, 1.1007307767868042, 0.708341658115387, 0.3143935203552246, 1.785202145576477, 0.9524558186531067, 0.04985330253839493, -0.8166258931159973, 0.18...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.041342295706272125, -0.36210885643959045, 0.26274940371513367, -0.31112346053123474, 1.090847134590149, 0.6649180054664612, 0.30342504382133484, 1.8211456537246704, 0.9549837112426758, 0.09411109983921051, -0.7369373440742493, ...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.1419142633676529, -0.25899168848991394, 0.258747935295105, -0.1615680754184723, 1.1250416040420532, 0.6822898983955383, 0.159030944108963, 1.7527896165847778, 1.0127350091934204, -0.017416121438145638, -0.8353841304779053, 0...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ -0.026209663599729538, -0.3402073383331299, 0.2590266466140747, -0.22021834552288055, 1.3471051454544067, 0.7247253060340881, 0.24043971300125122, 1.94413161277771, 1.0792109966278076, 0.03362803906202316, -0.9808531403541565, ...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.05332823842763901, -0.330154687166214, 0.26754000782966614, -0.30149978399276733, 1.1030378341674805, 0.6742383241653442, 0.343463271856308, 1.8225398063659668, 0.9494720101356506, 0.06997134536504745, -0.809046745300293, 0.1...
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.05403967201709747, -0.33065858483314514, 0.268584668636322, -0.30329859256744385, 1.1030523777008057, 0.6741572022438049, 0.34324824810028076, 1.821639060974121, 0.9493569731712341, 0.0706113800406456, -0.8087216019630432, 0....
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
8
Ses04F_impro08_F002
Okay. Well I'd be happy to-
8
neutral
0.05
4,366
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.04047868773341179, -0.293138712644577, 0.28163233399391174, -0.15452085435390472, 1.1494425535202026, 0.745514988899231, 0.36474496126174927, 1.821235179901123, 0.9747201800346375, 0.02239392139017582, -0.8139041066169739, 0....
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12803423404693604, -0.19746805727481842, 0.12246093899011612, -0.14684486389160156, 0.8360154628753662, 0.452880859375, 0.23243503272533417, 1.4047768115997314, 0.7458920478820801, 0.023175638169050217, -0.8848387002944946, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.10254935175180435, -0.16020742058753967, 0.11183185130357742, -0.09823949635028839, 0.8105940222740173, 0.457878977060318, 0.21087646484375, 1.3467190265655518, 0.7208571434020996, 0.024414554238319397, -0.9309808611869812, -...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.11150795966386795, -0.17941772937774658, 0.11885849386453629, -0.1133539229631424, 0.8264309167861938, 0.41272807121276855, 0.20587249100208282, 1.3878716230392456, 0.7310230135917664, 0.02535007707774639, -0.8206667900085449, ...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12459884583950043, -0.1705436259508133, 0.11093718558549881, -0.1260429471731186, 0.8285095691680908, 0.458061546087265, 0.22344529628753662, 1.373661756515503, 0.7407523989677429, 0.024509644135832787, -0.9219789505004883, -...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.1260974109172821, -0.18353617191314697, 0.1178661659359932, -0.1224730834364891, 0.8272971510887146, 0.4414701759815216, 0.2148531675338745, 1.3726850748062134, 0.740412712097168, 0.024304628372192383, -0.8492254614830017, -0...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.058252643793821335, -0.20710058510303497, 0.1829518973827362, -0.05809361860156059, 1.0281496047973633, 0.3831847310066223, 0.16828852891921997, 1.5613032579421997, 0.8602826595306396, 0.09476759284734726, -1.0625395774841309, ...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.07048411667346954, -0.1697441190481186, 0.22379419207572937, -0.0993797555565834, 1.255618691444397, 0.4358482360839844, 0.20554983615875244, 1.7369768619537354, 0.9863214492797852, 0.054095812141895294, -1.2818431854248047, ...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12837259471416473, -0.1924639791250229, 0.12079761922359467, -0.14085644483566284, 0.8346135020256042, 0.45122021436691284, 0.2281642109155655, 1.4053007364273071, 0.7450284361839294, 0.01988171599805355, -0.8807215094566345, ...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.12822163105010986, -0.19519321620464325, 0.12209726870059967, -0.1441459208726883, 0.8344264626502991, 0.45219841599464417, 0.23044873774051666, 1.4029321670532227, 0.7453440427780151, 0.021172042936086655, -0.8829566836357117, ...
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
8
Ses04F_impro08_F004
Sir, can- can you tell me which branch you went to. We can start there.
8
neutral
0.05
9,191
0.285714
-0.5
0
1
0.5
0.5
0
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.04719662293791771, -0.1332305520772934, 0.1040855348110199, -0.07364754378795624, 0.8205933570861816, 0.42545077204704285, 0.1899113655090332, 1.362778663635254, 0.7250014543533325, 0.00800099316984415, -0.8808703422546387, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.08831627666950226, -0.27786722779273987, 0.16625173389911652, -0.08847997337579727, 0.8866460919380188, 0.6280564069747925, 0.2455752193927765, 1.325789451599121, 0.680697500705719, -0.011700395494699478, -0.9656937122344971, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.0805017501115799, -0.2629384696483612, 0.18985705077648163, -0.08277419209480286, 0.9406102299690247, 0.6582158207893372, 0.24467916786670685, 1.358428716659546, 0.6870089769363403, -0.010865168645977974, -1.0736273527145386, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.06684841960668564, -0.28898534178733826, 0.17308764159679413, -0.0979001447558403, 0.93228679895401, 0.5881364941596985, 0.2047334462404251, 1.3866993188858032, 0.679881751537323, 0.015959391370415688, -0.8894510269165039, -0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.09399653971195221, -0.2719791829586029, 0.16594967246055603, -0.08807065337896347, 0.9148634672164917, 0.6467862129211426, 0.24544602632522583, 1.3334128856658936, 0.6868528723716736, -0.01237342320382595, -1.029049038887024, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.0869685634970665, -0.2845474183559418, 0.16048359870910645, -0.09232929348945618, 0.910719096660614, 0.6208129525184631, 0.22994418442249298, 1.3469351530075073, 0.684151291847229, -0.0017749062972143292, -0.9328784942626953, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.09123771637678146, -0.25504356622695923, 0.19622820615768433, -0.0813170000910759, 1.3037794828414917, 0.6406340599060059, 0.26700344681739807, 1.6864182949066162, 0.9307603240013123, 0.1928188055753708, -1.291581153869629, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.19129015505313873, -0.19704188406467438, 0.1700255423784256, -0.11766763031482697, 1.491065502166748, 0.6736722588539124, 0.2941567003726959, 1.8425519466400146, 1.0193263292312622, 0.21894100308418274, -1.4182833433151245, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.08661480247974396, -0.278076708316803, 0.1671454906463623, -0.08532509952783585, 0.8894131183624268, 0.6296913623809814, 0.2410145401954651, 1.3272899389266968, 0.6818329095840454, -0.012892264872789383, -0.9631756544113159, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.08756661415100098, -0.2783312201499939, 0.16634021699428558, -0.08675432950258255, 0.8872822523117065, 0.6288114190101624, 0.243869811296463, 1.325150489807129, 0.6809679269790649, -0.011782500892877579, -0.9642658829689026, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2.5
2.5
3.75
1.25
8
Ses04F_impro08_F005
Okay. Um, and what was the complaint?
8
neutral
0.175
7,948
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.05145713686943054, -0.22060935199260712, 0.1869603842496872, -0.03512122482061386, 0.9332444071769714, 0.6483354568481445, 0.20944049954414368, 1.2991241216659546, 0.7046672105789185, -0.020328959450125694, -1.0380324125289917, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.18912604451179504, -0.22032302618026733, 0.3686251640319824, -0.1415632665157318, 1.03397798538208, 0.4149301052093506, 0.18294444680213928, 1.5797808170318604, 1.068617820739746, 0.020664136856794357, -0.6263466477394104, 0....
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.1740942895412445, -0.20875927805900574, 0.3386673629283905, -0.08051382005214691, 0.9618779420852661, 0.4837683439254761, 0.22035323083400726, 1.503516435623169, 1.0135687589645386, 0.03440634161233902, -0.6919382810592651, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.18410624563694, -0.23995794355869293, 0.312406450510025, -0.07266126573085785, 0.9992744326591492, 0.40925559401512146, 0.19472073018550873, 1.568705677986145, 1.0915988683700562, 0.006054832134395838, -0.5461411476135254, 0....
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.1873302161693573, -0.24888379871845245, 0.3753853440284729, -0.10205736756324768, 1.0022090673446655, 0.44469964504241943, 0.21198004484176636, 1.5388708114624023, 1.041793942451477, 0.039948493242263794, -0.6288763284683228, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.1788482367992401, -0.2283172905445099, 0.35846713185310364, -0.10564086586236954, 1.0092889070510864, 0.40983501076698303, 0.19091056287288666, 1.5803090333938599, 1.082369089126587, 0.03271634876728058, -0.554762601852417, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.13818688690662384, -0.3073677718639374, 0.3015368580818176, -0.1836961805820465, 1.060356616973877, 0.4271664023399353, 0.19987842440605164, 1.515518069267273, 1.1069412231445312, -0.036001745611429214, -0.656250536441803, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.13935230672359467, -0.2591090500354767, 0.44758737087249756, -0.1727774292230606, 1.135167121887207, 0.4737710654735565, 0.1594468653202057, 1.5977176427841187, 1.210706353187561, -0.043172549456357956, -0.7164908647537231, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.18628036975860596, -0.22221024334430695, 0.3699410557746887, -0.13585726916790009, 1.0367748737335205, 0.4153822064399719, 0.1839221566915512, 1.5860860347747803, 1.0722250938415527, 0.02182988077402115, -0.6190665364265442, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.18826352059841156, -0.22077441215515137, 0.36885783076286316, -0.1387164294719696, 1.0352542400360107, 0.4147515296936035, 0.18365886807441711, 1.5819685459136963, 1.0703617334365845, 0.021682199090719223, -0.6232094764709473, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2.5
2
3.75
1.25
8
Ses04F_impro08_F006
Can you be a little more specific, sir?
8
neutral
0.325
9,113
0.285714
-0.5
0
0.5
0.5
1
0
0
0
3
2
3.5
2.5
2
[ { "feats": [ 0.1518174707889557, -0.2380809634923935, 0.3525201976299286, -0.09465702623128891, 1.0030921697616577, 0.434039443731308, 0.21431349217891693, 1.5217270851135254, 1.0472177267074585, 0.004909861367195845, -0.5640996098518372, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.10338741540908813, -0.20832191407680511, 0.14352580904960632, -0.09660832583904266, 0.6333149671554565, 0.3588540256023407, 0.0783608928322792, 1.2280935049057007, 0.7148469686508179, -0.018953362479805946, -0.7925599813461304, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.08971469104290009, -0.18610864877700806, 0.134198859333992, -0.07116448134183884, 0.6537250876426697, 0.39949825406074524, 0.08470439165830612, 1.196312427520752, 0.7001648545265198, -0.010996256023645401, -0.8412002921104431, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.09479672461748123, -0.19102928042411804, 0.12647901475429535, -0.07959064096212387, 0.6409480571746826, 0.3170331120491028, 0.05751330032944679, 1.218239426612854, 0.7105242013931274, -0.010733462870121002, -0.7262329459190369, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.09810393303632736, -0.2065589725971222, 0.14456674456596375, -0.08091232925653458, 0.6439836621284485, 0.37797772884368896, 0.08141452819108963, 1.219628095626831, 0.707887589931488, -0.007298898883163929, -0.8183445334434509, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.10794806480407715, -0.20347289741039276, 0.13130265474319458, -0.09139945358037949, 0.6353338360786438, 0.34145793318748474, 0.06763795018196106, 1.2175794839859009, 0.7154154777526855, -0.013966420665383339, -0.7619226574897766, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.041585735976696014, -0.2306058555841446, 0.15646681189537048, -0.04580550640821457, 0.8585547208786011, 0.3779953718185425, 0.06738466769456863, 1.4128026962280273, 0.8189697861671448, -0.009595748968422413, -0.9782143235206604, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.08136266469955444, -0.27352771162986755, 0.21178360283374786, -0.08070311695337296, 1.0132906436920166, 0.3708306849002838, 0.07340902835130692, 1.5928921699523926, 0.9243245124816895, 0.04374319314956665, -1.0855035781860352, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.10322894155979156, -0.2066924124956131, 0.14303959906101227, -0.09521400183439255, 0.6362536549568176, 0.3599567115306854, 0.07575295120477676, 1.2308441400527954, 0.7158064246177673, -0.01993514597415924, -0.7916027903556824, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.1032424345612526, -0.20705772936344147, 0.14304383099079132, -0.09585393965244293, 0.6342940330505371, 0.3592212200164795, 0.07724031060934067, 1.2285956144332886, 0.7151458859443665, -0.019488058984279633, -0.7922196984291077, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
8
Ses04F_impro08_F008
Well I'm very sorry, sir. They should have dealt with it at that particular branch. I apologize for that, uh, but we can help you. That's no worries. We can take care of that. So how much did you need to be refunded?
8
neutral
0.55
4,346
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.06602189689874649, -0.17311985790729523, 0.13645179569721222, -0.06112873554229736, 0.6394273042678833, 0.35219135880470276, 0.05455134063959122, 1.1861088275909424, 0.7041254043579102, -0.028629126027226448, -0.7765644788742065, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11780259758234024, -0.13792817294597626, 0.1575014442205429, -0.08540308475494385, 0.742307722568512, 0.4238484501838684, 0.13707682490348816, 1.3576353788375854, 0.8176870942115784, -0.01846589334309101, -0.7828434705734253, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.09635470807552338, -0.1303025633096695, 0.15509238839149475, -0.0784066766500473, 0.7674033045768738, 0.46495863795280457, 0.15292508900165558, 1.35284423828125, 0.7898397445678711, 0.005788312293589115, -0.8276583552360535, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11117152124643326, -0.1411859691143036, 0.1414775252342224, -0.0748755931854248, 0.7482395172119141, 0.3929470181465149, 0.14242641627788544, 1.354471206665039, 0.8122455477714539, 0.002576765138655901, -0.7206458449363708, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11184358596801758, -0.12699756026268005, 0.1608847677707672, -0.07761767506599426, 0.7622326016426086, 0.44361555576324463, 0.14073294401168823, 1.3661240339279175, 0.8160058259963989, -0.014638378284871578, -0.8090918064117432, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11714610457420349, -0.13291463255882263, 0.148658886551857, -0.07539404928684235, 0.7420144081115723, 0.41227027773857117, 0.13975951075553894, 1.360158920288086, 0.8155254125595093, -0.01752062514424324, -0.7540226578712463, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.09107838571071625, -0.1367150992155075, 0.14699213206768036, -0.10907446593046188, 0.8111863732337952, 0.4312506318092346, 0.1595812439918518, 1.3923261165618896, 0.8144851922988892, -0.004677532706409693, -0.8739104866981506, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11488784104585648, -0.15068882703781128, 0.19730731844902039, -0.16102911531925201, 0.9613283276557922, 0.4693145751953125, 0.133346289396286, 1.5714340209960938, 0.8872057199478149, -0.0529453344643116, -0.9583200216293335, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11707521975040436, -0.1380385160446167, 0.15724045038223267, -0.08497006446123123, 0.742828369140625, 0.42376765608787537, 0.13752859830856323, 1.3585128784179688, 0.8177691698074341, -0.018340623006224632, -0.7826550602912903, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.11742061376571655, -0.13804472982883453, 0.157317116856575, -0.0851476639509201, 0.7423976063728333, 0.42370840907096863, 0.13731302320957184, 1.3576666116714478, 0.8176368474960327, -0.01823713257908821, -0.7828115224838257, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
2.5
5
2.5
8
Ses04F_impro08_F009
Okay. Um, I'm going to go ahead and transfer you over to another department. They'll need your address.
8
neutral
0.625
5,941
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.09740245342254639, -0.1280796080827713, 0.16895118355751038, -0.05243609473109245, 0.7618613243103027, 0.42748749256134033, 0.14878985285758972, 1.3613266944885254, 0.8319365978240967, -0.003651925828307867, -0.7991629242897034, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.05063623562455177, -0.15563029050827026, 0.20316043496131897, 0.02599024958908558, 0.8421056270599365, 0.465507835149765, 0.06194109097123146, 1.4207552671432495, 0.6682552695274353, 0.026813697069883347, -0.7667475938796997, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.08391755819320679, -0.1568516343832016, 0.2227676957845688, 0.0696253702044487, 0.8801451921463013, 0.5026810765266418, 0.09746521711349487, 1.491839051246643, 0.6705248951911926, 0.01788058876991272, -0.820043683052063, -0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.08173418045043945, -0.1900099366903305, 0.2018880695104599, 0.03933892026543617, 0.8477556705474854, 0.43116137385368347, 0.05895885452628136, 1.43500554561615, 0.6673409938812256, 0.06149188056588173, -0.7185061573982239, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.054741617292165756, -0.15565839409828186, 0.2034713178873062, 0.04431844502687454, 0.8627272844314575, 0.48375052213668823, 0.07713185250759125, 1.4723691940307617, 0.6723896265029907, 0.011305080726742744, -0.7865555286407471, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.07294012606143951, -0.17437614500522614, 0.21171003580093384, 0.026049131527543068, 0.8466381430625916, 0.4553166329860687, 0.05224538967013359, 1.440025806427002, 0.6695894002914429, 0.04143571853637695, -0.7314810752868652, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.06547611951828003, -0.1482633650302887, 0.16499216854572296, 0.06727899610996246, 0.9727442264556885, 0.524167001247406, 0.06376578658819199, 1.5982168912887573, 0.7480313181877136, 0.03125787526369095, -0.9589001536369324, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.0055792201310396194, -0.18224522471427917, 0.23624779284000397, 0.049901146441698074, 1.147471308708191, 0.5828460454940796, 0.07613334059715271, 1.776956558227539, 0.8602742552757263, 0.0648854672908783, -1.0904334783554077, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.05577688291668892, -0.15773367881774902, 0.20525948703289032, 0.028478551656007767, 0.8452758193016052, 0.4663294851779938, 0.06470492482185364, 1.4288852214813232, 0.6684859395027161, 0.02939671277999878, -0.7654005289077759, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.05321889743208885, -0.15634937584400177, 0.20428568124771118, 0.026925502344965935, 0.8430747985839844, 0.465739905834198, 0.0632719099521637, 1.4231292009353638, 0.6685916781425476, 0.028318578377366066, -0.7662307620048523, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
3
2.5
-1.25
7
Ses04F_impro08_M001
Um, I basically, um I- I ordered some food
7
neutral
0.2
5,989
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
3
[ { "feats": [ -0.08483736217021942, -0.18005675077438354, 0.22324977815151215, 0.05206015706062317, 0.8447815775871277, 0.48148471117019653, 0.07542853057384491, 1.4092636108398438, 0.6757113337516785, 0.02871539443731308, -0.7623171806335449, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.22569143772125244, -0.21432355046272278, 0.2700943350791931, -0.03091154433786869, 0.6912053227424622, 0.41554099321365356, 0.07804311066865921, 1.1315014362335205, 0.7849757075309753, -0.03582726791501045, -1.0842409133911133, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.19147776067256927, -0.21210461854934692, 0.3077862560749054, -0.016666702926158905, 0.718978762626648, 0.44597604870796204, 0.0889788419008255, 1.1577484607696533, 0.7636783719062805, -0.019144825637340546, -1.1190425157546997, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.1613195389509201, -0.2565024197101593, 0.3071255683898926, 0.009702946990728378, 0.7076478004455566, 0.39117151498794556, 0.04583433270454407, 1.1848621368408203, 0.7972820997238159, -0.0025921030901372433, -1.014378309249878, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.22144939005374908, -0.21181172132492065, 0.2653774321079254, -0.01387790497392416, 0.6997894048690796, 0.43432268500328064, 0.08791542798280716, 1.1234021186828613, 0.7695017457008362, -0.015024674125015736, -1.1011474132537842, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.2034149467945099, -0.2329138070344925, 0.28193050622940063, -0.015301242470741272, 0.6806679368019104, 0.3955831825733185, 0.06282856315374374, 1.1257816553115845, 0.7747595310211182, -0.02502266876399517, -1.0394450426101685, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.18918749690055847, -0.2787868082523346, 0.3164295554161072, -0.05692506209015846, 1.0922398567199707, 0.4221135973930359, 0.1267545521259308, 1.4385170936584473, 0.8917715549468994, 0.09151783585548401, -1.5199607610702515, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.23185113072395325, -0.24804876744747162, 0.3468230962753296, -0.13523836433887482, 1.3796813488006592, 0.5352499485015869, 0.14248500764369965, 1.6991568803787231, 1.0233154296875, 0.05057632923126221, -1.794349193572998, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.2226000279188156, -0.21567852795124054, 0.27702611684799194, -0.02675654925405979, 0.6978585124015808, 0.418284147977829, 0.0773991271853447, 1.149970293045044, 0.7929173707962036, -0.03595505654811859, -1.0793263912200928, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.22429096698760986, -0.21400342881679535, 0.27137988805770874, -0.02951609529554844, 0.6922225952148438, 0.41665756702423096, 0.07715260982513428, 1.1344064474105835, 0.7872518301010132, -0.03552549332380295, -1.0810551643371582, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
7
Ses04F_impro08_M012
It was a hundred a sixty dollars. I'm sorry, uh, sixteen dollars.
7
neutral
0.175
7,920
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.15202122926712036, -0.254037469625473, 0.36830565333366394, 0.021467166021466255, 0.7883721590042114, 0.45775410532951355, 0.08145134896039963, 1.2263180017471313, 0.8167816400527954, -0.02387615665793419, -1.1062182188034058, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }