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
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.011242789216339588, -0.08739463239908218, 0.263370156288147, -0.263245552778244, 0.9090235233306885, 0.5098208785057068, 0.22288115322589874, 1.440015196800232, 1.003563404083252, -0.18099701404571533, -0.6298600435256958, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.07063677161931992, -0.028706086799502373, 0.29392310976982117, -0.2079917937517166, 0.920428454875946, 0.5738412737846375, 0.3271583616733551, 1.5302629470825195, 1.0015252828598022, -0.2220156043767929, -0.6742896437644958, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ 0.06895986199378967, -0.09758184105157852, 0.23577715456485748, -0.2573704719543457, 0.9378566145896912, 0.4847940504550934, 0.14153575897216797, 1.5326060056686401, 1.0672634840011597, -0.1757563203573227, -0.55809485912323, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.05489404872059822, -0.06666895747184753, 0.2715427279472351, -0.25431028008461, 0.9398623704910278, 0.5406513810157776, 0.2896153926849365, 1.5219899415969849, 1.00263512134552, -0.19891677796840668, -0.6571201086044312, 0.1...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ 0.025485530495643616, -0.07126957923173904, 0.24743428826332092, -0.27414071559906006, 0.9271108508110046, 0.5153427124023438, 0.1888478398323059, 1.4777874946594238, 1.0299056768417358, -0.18118228018283844, -0.5949487090110779, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ 0.15819764137268066, -0.32677116990089417, 0.28377264738082886, -0.24623292684555054, 1.3172705173492432, 0.6371567249298096, 0.4000490605831146, 1.7750377655029297, 1.188581109046936, 0.09832192212343216, -1.0065807104110718, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ 0.1476219892501831, -0.4025808572769165, 0.43928641080856323, -0.42656973004341125, 1.7142717838287354, 0.6215443015098572, 0.6677380800247192, 1.8892946243286133, 1.1891911029815674, 0.4576019048690796, -1.3374240398406982, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.003908156417310238, -0.07024113833904266, 0.25377368927001953, -0.256979763507843, 0.9115146398544312, 0.5085158348083496, 0.21421125531196594, 1.4662790298461914, 1.0097017288208008, -0.1895357370376587, -0.6238023638725281, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.005765559151768684, -0.08253096789121628, 0.2511609196662903, -0.2630048096179962, 0.9023193717002869, 0.5112218260765076, 0.2167774885892868, 1.433424949645996, 1.0020688772201538, -0.18353307247161865, -0.6267235279083252, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
2
3.75
2.5
5
Ses03F_impro07_M012
oh yeah.
5
neutral
0.7
5,070
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
4
2.5
2
[ { "feats": [ -0.028995081782341003, -0.049652185291051865, 0.23441946506500244, -0.18972653150558472, 0.8879044651985168, 0.554793655872345, 0.2798950672149658, 1.4377135038375854, 1.0046608448028564, -0.18016371130943298, -0.6621163487434387, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.04423383250832558, -0.039946671575307846, 0.2803477644920349, -0.0016646611038595438, 0.8588363528251648, 0.47212862968444824, 0.06124420464038849, 1.364044427871704, 1.0038293600082397, -0.19310078024864197, -0.6726554036140442, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.04789268970489502, -0.024947892874479294, 0.2679610848426819, 0.015690233558416367, 0.8612679839134216, 0.5110629796981812, 0.08220656216144562, 1.3043484687805176, 0.9474959373474121, -0.22307375073432922, -0.8179601430892944, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.030761681497097015, -0.028960786759853363, 0.29381775856018066, -0.005914605222642422, 0.8698447942733765, 0.4171649217605591, 0.06574228405952454, 1.3918633460998535, 1.0314257144927979, -0.1889754831790924, -0.6409333348274231, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.04219092056155205, -0.043136145919561386, 0.27845534682273865, 0.008001900278031826, 0.836836040019989, 0.4955841600894928, 0.10289653390645981, 1.2839735746383667, 0.9650408029556274, -0.19311682879924774, -0.7706377506256104, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.0322863906621933, -0.04328537732362747, 0.28942978382110596, 0.018276233226060867, 0.8675138354301453, 0.4300822913646698, 0.06578761339187622, 1.4027354717254639, 1.0109796524047852, -0.20660874247550964, -0.653489887714386, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ -0.09564969688653946, -0.3006306290626526, 0.16946858167648315, -0.11677046865224838, 1.2339754104614258, 0.42130178213119507, 0.04296032339334488, 1.3794182538986206, 1.1560081243515015, -0.03894134238362312, -1.2419534921646118, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.1554517149925232, -0.35906752943992615, 0.2839528024196625, -0.1615661233663559, 1.5541123151779175, 0.6308849453926086, 0.1698237508535385, 1.7718020677566528, 1.268178105354309, -0.02980046160519123, -1.3286703824996948, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.03902198746800423, -0.037541069090366364, 0.2758748531341553, -0.014215050265192986, 0.8454955816268921, 0.4503004550933838, 0.06279532611370087, 1.333767294883728, 0.9920524954795837, -0.1856020838022232, -0.6734638214111328, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.03846682608127594, -0.03640146553516388, 0.27432185411453247, -0.008716745302081108, 0.8457210659980774, 0.45714595913887024, 0.06502804905176163, 1.342879056930542, 0.9946703910827637, -0.18661503493785858, -0.6707483530044556, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
3
3.75
2.5
5
Ses03F_impro07_M023
Fuck Boston.
5
neutral
0.5
7,076
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
3
[ { "feats": [ 0.01443601492792368, -0.0978299006819725, 0.28173866868019104, -0.01224605180323124, 0.8007863163948059, 0.43844911456108093, 0.14778071641921997, 1.2450282573699951, 0.9504806995391846, -0.1734122484922409, -0.774465799331665, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.08086658269166946, -0.06338855624198914, 0.07724175602197647, 0.003776541678234935, 0.8559062480926514, 0.5349385738372803, 0.14594091475009918, 1.5375357866287231, 0.8460717797279358, 0.10571043938398361, -0.7376697063446045, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.04496387019753456, -0.07204433530569077, 0.10578477382659912, 0.029114728793501854, 0.8818418979644775, 0.5927859544754028, 0.1626666784286499, 1.5274386405944824, 0.8449264764785767, 0.07501014322042465, -0.7774738669395447, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.057609543204307556, -0.10880755633115768, 0.05675086751580238, -0.011018287390470505, 0.8149486184120178, 0.4648200571537018, 0.11706267297267914, 1.5141053199768066, 0.8555176258087158, 0.11510426551103592, -0.6818584203720093, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.058105967938899994, -0.05460169166326523, 0.08521246910095215, 0.00878885854035616, 0.8826775550842285, 0.5696557760238647, 0.15659093856811523, 1.5314865112304688, 0.8535863161087036, 0.10024149715900421, -0.7511236667633057, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.05934300273656845, -0.0967603400349617, 0.07008422911167145, -0.019548404961824417, 0.822980523109436, 0.4875340163707733, 0.13031679391860962, 1.5070234537124634, 0.8454002141952515, 0.12679876387119293, -0.7066226005554199, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.3486517071723938, -0.18916861712932587, 0.4723522365093231, -0.15616965293884277, 1.429399847984314, 0.6497315764427185, 0.10222110152244568, 1.9216200113296509, 1.1935276985168457, -0.06873887777328491, -1.1917493343353271, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.27914825081825256, 0.06274280697107315, 0.3758603036403656, -0.22861309349536896, 1.9137084484100342, 1.1422115564346313, 0.5908036828041077, 2.64298939704895, 1.2291229963302612, -0.027644256129860878, -1.930267572402954, 0....
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.07344010472297668, -0.060652945190668106, 0.07422594726085663, 0.006455547641962767, 0.8482966423034668, 0.5277777314186096, 0.14144562184810638, 1.538634181022644, 0.8410788178443909, 0.10609922558069229, -0.7278334498405457, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.07896313816308975, -0.06457619369029999, 0.07439760863780975, 0.007983853109180927, 0.8520439267158508, 0.5321459174156189, 0.14318233728408813, 1.5311232805252075, 0.8433335423469543, 0.10581168532371521, -0.7328888773918152, ...
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
5
Ses03F_impro07_M025
We should uh- go to Little Ethiopia.
5
neutral
0.55
3,440
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.035642750561237335, -0.08002842217683792, 0.08431600779294968, 0.029052477329969406, 0.825095534324646, 0.5213848352432251, 0.1262824386358261, 1.4651848077774048, 0.8569435477256775, 0.09234599024057388, -0.7594021558761597, ...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.05727490782737732, -0.22275687754154205, 0.1740492433309555, -0.0514809712767601, 0.8634389638900757, 0.3706474304199219, 0.13809986412525177, 1.5649207830429077, 0.9217326045036316, -0.2108544260263443, -0.5888124704360962, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
2.5
3.75
2.5
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.03306817635893822, -0.23084920644760132, 0.1315249502658844, -0.06291722506284714, 0.8918290138244629, 0.4381800591945648, 0.15482266247272491, 1.6124638319015503, 0.9084377288818359, -0.25843700766563416, -0.6365336775779724, ...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.08672886341810226, -0.26047396659851074, 0.14475266635417938, -0.05180983617901802, 0.8569618463516235, 0.36411339044570923, 0.10514800995588303, 1.5683367252349854, 0.9081393480300903, -0.21401657164096832, -0.5353466272354126, ...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.03061232715845108, -0.22537735104560852, 0.1714939922094345, -0.051175132393836975, 0.885834813117981, 0.40378496050834656, 0.14667432010173798, 1.6128288507461548, 0.9090715050697327, -0.21939252316951752, -0.630363941192627, ...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.06251852959394455, -0.2256135493516922, 0.1711372435092926, -0.05753403902053833, 0.8564326763153076, 0.35257190465927124, 0.13597820699214935, 1.5653427839279175, 0.9168097376823425, -0.20299534499645233, -0.5607334971427917, ...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.282830148935318, -0.08998074382543564, 0.42329397797584534, -0.14585094153881073, 1.611414909362793, 0.7961704134941101, 0.0562983900308609, 2.0930352210998535, 1.4468169212341309, -0.18059252202510834, -1.0874340534210205, 0...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.3069499731063843, -0.4316262900829315, 0.4048975706100464, -0.5351102352142334, 2.096848487854004, 0.669467568397522, 0.8202732801437378, 2.0342459678649902, 1.2332087755203247, 0.283763587474823, -1.9972084760665894, 0.18546...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.05462810769677162, -0.22544775903224945, 0.16182070970535278, -0.0469462051987648, 0.8652463555335999, 0.3728097081184387, 0.14080248773097992, 1.578829050064087, 0.91908860206604, -0.21441440284252167, -0.5911820530891418, -...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.05981402471661568, -0.21949492394924164, 0.16641250252723694, -0.04908692464232445, 0.8591989874839783, 0.3683684468269348, 0.13595904409885406, 1.5630046129226685, 0.9173597097396851, -0.2144729048013687, -0.5861881971359253, ...
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
5
Ses03F_impro07_M033
Well, get used to it.
5
neutral
0.55
7,091
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
2.5
2.5
[ { "feats": [ 0.0074638002552092075, -0.23218104243278503, 0.11801932752132416, -0.059724096208810806, 0.8344515562057495, 0.369207501411438, 0.1504136621952057, 1.4943610429763794, 0.8836900591850281, -0.18654824793338776, -0.6378797888755798, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.15072552859783173, -0.2550581097602844, 0.061278119683265686, -0.057011548429727554, 0.8030924797058105, 0.4071730375289917, 0.15203852951526642, 1.6388477087020874, 0.9888954162597656, 0.09216327965259552, -0.44228577613830566, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.07140190154314041, -0.19181431829929352, 0.05570071563124657, -0.012565642595291138, 0.7473767399787903, 0.4297195374965668, 0.15858013927936554, 1.4790419340133667, 0.9387818574905396, 0.060069091618061066, -0.4815412759780884, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.12756279110908508, -0.22550906240940094, 0.017833299934864044, -0.05142239108681679, 0.7740790843963623, 0.3223848044872284, 0.13952460885047913, 1.5935051441192627, 0.9468854069709778, 0.045515865087509155, -0.42518350481987, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.1177021786570549, -0.23141710460186005, 0.06287974864244461, -0.04668565094470978, 0.7776052951812744, 0.4164445400238037, 0.1567828208208084, 1.5646271705627441, 0.9629507064819336, 0.10231906920671463, -0.4557889699935913, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.15650303661823273, -0.24328717589378357, 0.04117121174931526, -0.055992405861616135, 0.8008745908737183, 0.3586859107017517, 0.1473838984966278, 1.648639440536499, 0.9757443070411682, 0.06436058133840561, -0.41937604546546936, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.07544465363025665, -0.16937023401260376, 0.04033489525318146, -0.12303930521011353, 0.8588805794715881, 0.3812226951122284, 0.12989912927150726, 1.5517098903656006, 1.0059597492218018, 0.03219754248857498, -0.5539918541908264, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.11939716339111328, -0.16132137179374695, 0.10054397583007812, -0.15010234713554382, 1.0024069547653198, 0.40081045031547546, 0.10308711975812912, 1.5669033527374268, 1.1071689128875732, 0.06199264153838158, -0.6640263199806213, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.1480693221092224, -0.2531718909740448, 0.059579890221357346, -0.054364193230867386, 0.8028387427330017, 0.406444251537323, 0.15207462012767792, 1.6384413242340088, 0.9875519275665283, 0.09047196060419083, -0.440455824136734, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.14940467476844788, -0.25470778346061707, 0.06048956885933876, -0.056130826473236084, 0.8031124472618103, 0.40682870149612427, 0.15180236101150513, 1.6383388042449951, 0.9886599779129028, 0.09146353602409363, -0.4421815574169159, ...
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
6
Ses03F_impro08_F000
Hello sir, can I help you?
6
neutral
0.05
5,457
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.1401183307170868, -0.20268216729164124, 0.03533730283379555, -0.024124721065163612, 0.7494979500770569, 0.3446574807167053, 0.13385435938835144, 1.528370976448059, 0.9517703652381897, 0.060727108269929886, -0.43770653009414673, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.04257849603891373, -0.07798990607261658, 0.20283564925193787, -0.1646336317062378, 0.9642823934555054, 0.3552462160587311, 0.15843002498149872, 1.6017881631851196, 0.9575791358947754, -0.2141096442937851, -0.82887864112854, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ -0.023449894040822983, -0.11065936088562012, 0.20330026745796204, -0.11682493984699249, 0.9233348965644836, 0.44683778285980225, 0.10644477605819702, 1.6020784378051758, 0.8267560005187988, -0.18076680600643158, -0.7079099416732788, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.13317649066448212, -0.02067786268889904, 0.14858604967594147, -0.09547109156847, 0.913619339466095, 0.38379326462745667, 0.04099780321121216, 1.6210851669311523, 0.8925216197967529, -0.09969469159841537, -0.6926743984222412, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ -0.0030866102315485477, -0.07524345815181732, 0.25602877140045166, -0.14247019588947296, 1.0109343528747559, 0.4687136709690094, 0.11116007715463638, 1.636266827583313, 0.9672905802726746, -0.24386973679065704, -0.7869254350662231, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.09183298051357269, -0.04137803241610527, 0.19935302436351776, -0.14506539702415466, 0.9467118978500366, 0.3815096318721771, 0.12035521119832993, 1.6068049669265747, 0.8861580491065979, -0.11110991984605789, -0.7387719750404358, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.004465730395168066, 0.039840325713157654, 0.3013286590576172, -0.24004735052585602, 1.3473821878433228, 0.5575055480003357, 0.053090427070856094, 1.72800874710083, 1.3724923133850098, -0.2261209636926651, -0.9388457536697388, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.05582616850733757, -0.019791388884186745, 0.2964421212673187, -0.36226412653923035, 1.464411735534668, 0.5711535215377808, 0.17053675651550293, 1.878830075263977, 1.3769102096557617, -0.23832903802394867, -1.0850437879562378, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.04270577058196068, -0.06972192972898483, 0.19881930947303772, -0.16137383878231049, 0.9587699770927429, 0.35431545972824097, 0.15475700795650482, 1.5957183837890625, 0.9570309519767761, -0.2163701206445694, -0.8313491940498352, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.0425778403878212, -0.07537028938531876, 0.20172296464443207, -0.16430474817752838, 0.9627729058265686, 0.35546454787254333, 0.15669606626033783, 1.5996195077896118, 0.9589718580245972, -0.2148064523935318, -0.82853764295578, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2
3.75
0
6
Ses03F_impro08_F001
I [GARBAGE]
6
neutral
0.2
494
0.691074
null
null
0
0.471405
0
null
0
null
4
3
3
2.5
2
[ { "feats": [ 0.02055342309176922, -0.009208318777382374, 0.18339160084724426, -0.16716425120830536, 0.9651370644569397, 0.40054070949554443, 0.05584114044904709, 1.4955987930297852, 0.9136658310890198, -0.04354117438197136, -0.6599597334861755, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07705219835042953, -0.20136234164237976, 0.2137914001941681, -0.12248507887125015, 0.7211251854896545, 0.4153085947036743, 0.17083626985549927, 1.4482580423355103, 0.8677272796630859, 0.02691851183772087, -0.7944791316986084, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07338591665029526, -0.16324053704738617, 0.2043205052614212, -0.08233385533094406, 0.6986973881721497, 0.4419184923171997, 0.1712985336780548, 1.4223569631576538, 0.8418923020362854, 0.003649178659543395, -0.8235577344894409, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.06622476130723953, -0.20433621108531952, 0.20825889706611633, -0.11163970082998276, 0.711235761642456, 0.3648879826068878, 0.14291486144065857, 1.4095304012298584, 0.8480513691902161, 0.019644025713205338, -0.7614707946777344, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07394519448280334, -0.18426048755645752, 0.21603019535541534, -0.10598184913396835, 0.7137339115142822, 0.4288192391395569, 0.17058134078979492, 1.4579921960830688, 0.8551172018051147, 0.025044512003660202, -0.800922155380249, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.08636105060577393, -0.21770693361759186, 0.19868366420269012, -0.114797443151474, 0.7132903933525085, 0.3829205632209778, 0.1401154100894928, 1.4334691762924194, 0.8590037822723389, 0.04139140620827675, -0.7741434574127197, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.009121044538915157, -0.22285085916519165, 0.23243577778339386, -0.02011137641966343, 0.8050408959388733, 0.376725971698761, 0.16843387484550476, 1.5109978914260864, 0.8899569511413574, -0.0006881668814457953, -0.790992021560669, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.05547582358121872, -0.25820013880729675, 0.338291198015213, -0.10042963176965714, 0.9650791883468628, 0.4103185832500458, 0.13116726279258728, 1.6813708543777466, 1.0037810802459717, -0.06723536550998688, -0.8832434415817261, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07729809731245041, -0.20098860561847687, 0.21376529335975647, -0.12239917367696762, 0.7211275696754456, 0.41506102681159973, 0.17012685537338257, 1.448240041732788, 0.8677001595497131, 0.02709759958088398, -0.7940273284912109, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07691790908575058, -0.2012781947851181, 0.21374757587909698, -0.12232547998428345, 0.7210322618484497, 0.4150431156158447, 0.1707151085138321, 1.4479645490646362, 0.8675746917724609, 0.02675178088247776, -0.7944145798683167, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
3
3.75
0
6
Ses03F_impro08_F002
Yes, sir, I'm very sorry, but we've had some trouble here. There's been a lot of calls and the system has-
6
neutral
0
5,265
0.392675
-0.333333
0
0
0.471405
0.816497
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07904266566038132, -0.18626956641674042, 0.20881915092468262, -0.09929186850786209, 0.7147068381309509, 0.3980737030506134, 0.161701038479805, 1.4013863801956177, 0.8521931767463684, 0.030207814648747444, -0.7876280546188354, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04599633440375328, -0.21134860813617706, 0.25197726488113403, -0.16180692613124847, 0.7780161499977112, 0.4030112326145172, 0.0680694654583931, 1.6303569078445435, 0.9401806592941284, -0.1621057391166687, -0.8447256088256836, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.013993337750434875, -0.2359364777803421, 0.2694413959980011, -0.1257164627313614, 0.7728222012519836, 0.44889870285987854, 0.10908423364162445, 1.581505537033081, 0.9040165543556213, -0.18485769629478455, -0.9083136916160583, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.048325564712285995, -0.18853329122066498, 0.28199347853660583, -0.14134395122528076, 0.7814518809318542, 0.3764553666114807, 0.02393874153494835, 1.537170648574829, 0.9113267064094543, -0.1825733482837677, -0.7758155465126038, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.03523367643356323, -0.22859132289886475, 0.2584093511104584, -0.15039227902889252, 0.7652036547660828, 0.41956663131713867, 0.08632396161556244, 1.6196825504302979, 0.9221420884132385, -0.15215659141540527, -0.8811594247817993, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04950482398271561, -0.2144455760717392, 0.26759669184684753, -0.15133780241012573, 0.7906789779663086, 0.39469361305236816, 0.04795774817466736, 1.6073256731033325, 0.9386531114578247, -0.17736196517944336, -0.8034137487411499, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.049764253199100494, -0.21196646988391876, 0.3503437042236328, -0.16563726961612701, 0.9954293370246887, 0.4116392433643341, 0.040541041642427444, 1.785679578781128, 1.072075366973877, -0.21793626248836517, -1.0427379608154297, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.13561590015888214, -0.28254234790802, 0.5987122654914856, -0.24271893501281738, 1.2890114784240723, 0.4783608019351959, -0.09983709454536438, 2.0326969623565674, 1.337706446647644, -0.24911390244960785, -1.1501179933547974, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04404637590050697, -0.21174995601177216, 0.25339195132255554, -0.1611112654209137, 0.7786411643028259, 0.4034584164619446, 0.06735176593065262, 1.6313652992248535, 0.9413995146751404, -0.16179107129573822, -0.8437162637710571, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04482688009738922, -0.21088054776191711, 0.25225991010665894, -0.16117510199546814, 0.7779738306999207, 0.40309688448905945, 0.067728690803051, 1.6297247409820557, 0.9404070377349854, -0.1615658849477768, -0.8435441851615906, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
6
Ses03F_impro08_F003
Sir, please calm down. There's no reason to use profanity like that. It's not-
6
neutral
0.175
7,103
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.017450803890824318, -0.20964814722537994, 0.2863578200340271, -0.10645465552806854, 0.796687126159668, 0.41673070192337036, 0.06932351738214493, 1.563238501548767, 0.9201870560646057, -0.1933557689189911, -0.8762807846069336, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.07262835651636124, -0.2476329803466797, 0.1709616482257843, -0.03897794708609581, 0.8210189938545227, 0.4372805953025818, 0.11466796696186066, 1.3319783210754395, 0.8738982081413269, -0.08344761282205582, -0.7187286019325256, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.034506503492593765, -0.21934574842453003, 0.18075761198997498, -0.008236296474933624, 0.8338160514831543, 0.46919235587120056, 0.11269938945770264, 1.324631690979004, 0.873904287815094, -0.0948445275425911, -0.7457998394966125, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.03665029630064964, -0.19751505553722382, 0.13892751932144165, -0.07593830674886703, 0.7899350523948669, 0.3889138102531433, 0.09193891286849976, 1.229495644569397, 0.8537413477897644, -0.05148107185959816, -0.6880765557289124, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.061825163662433624, -0.24626140296459198, 0.185760036110878, -0.023691903799772263, 0.8456815481185913, 0.4471539258956909, 0.11006718873977661, 1.3439182043075562, 0.8820620775222778, -0.09160257875919342, -0.7311819195747375, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.0604601725935936, -0.23039986193180084, 0.16119375824928284, -0.052611418068408966, 0.8024299740791321, 0.4112214148044586, 0.09991374611854553, 1.28065824508667, 0.8655297756195068, -0.05819842219352722, -0.6927210092544556, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.024959662929177284, -0.2443823367357254, 0.18459448218345642, -0.04962551221251488, 1.1347044706344604, 0.43152421712875366, 0.06238381937146187, 1.5764464139938354, 1.0959076881408691, -0.037290964275598526, -0.876079261302948, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.10676134377717972, -0.19161352515220642, 0.3317190110683441, -0.16882160305976868, 1.4298967123031616, 0.4485437870025635, 0.11697608977556229, 1.8057736158370972, 1.2884317636489868, -0.08977322280406952, -0.9946408867835999, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.07095266878604889, -0.24263831973075867, 0.16776369512081146, -0.034802794456481934, 0.8180093169212341, 0.4346788823604584, 0.11228378862142563, 1.3295354843139648, 0.8708054423332214, -0.08401544392108917, -0.7163642644882202, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.07158856093883514, -0.24465689063072205, 0.16969268023967743, -0.03716115280985832, 0.8192920684814453, 0.43612807989120483, 0.11331339180469513, 1.3302514553070068, 0.8727365732192993, -0.08400414884090424, -0.7175642848014832, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
6
Ses03F_impro08_F004
Okay, and this is for Verizon? Your provider?
6
neutral
0.125
2,138
0.505719
null
null
0
0.471405
0.471405
null
0
0
4
3
3
2
2.5
[ { "feats": [ 0.04290277510881424, -0.2521548867225647, 0.16256119310855865, -0.034428518265485764, 0.8555012941360474, 0.43586474657058716, 0.10968898236751556, 1.3366401195526123, 0.8774154782295227, -0.06011795252561569, -0.719208836555481, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.12202122807502747, -0.1696391999721527, 0.2131681740283966, -0.23073898255825043, 0.8216809034347534, 0.3099718391895294, 0.04239388555288315, 1.518343210220337, 0.974753201007843, -0.07213382422924042, -0.5922759175300598, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.12000318616628647, -0.16387724876403809, 0.21892783045768738, -0.20622693002223969, 0.8742100596427917, 0.37415745854377747, 0.06488148123025894, 1.547064185142517, 1.0031380653381348, -0.09734596312046051, -0.653817355632782, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.09284941852092743, -0.18805566430091858, 0.20972591638565063, -0.19245730340480804, 0.8103561401367188, 0.272579163312912, 0.027997184544801712, 1.4354276657104492, 0.9744803309440613, -0.06849725544452667, -0.5559783577919006, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.1343337744474411, -0.17696289718151093, 0.2299167662858963, -0.22627727687358856, 0.8354398012161255, 0.3253210186958313, 0.04915188252925873, 1.5155048370361328, 0.9894233345985413, -0.09657598286867142, -0.6259878873825073, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.11618999391794205, -0.18510255217552185, 0.21539008617401123, -0.20880630612373352, 0.809443473815918, 0.2900629937648773, 0.04004279896616936, 1.4760076999664307, 0.9605669975280762, -0.08528021723031998, -0.573555052280426, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.026275385171175003, -0.20901240408420563, 0.23235666751861572, -0.19836942851543427, 0.934353768825531, 0.32902222871780396, -0.05300779268145561, 1.5491567850112915, 1.0837703943252563, -0.07169723510742188, -0.7710161209106445, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.07525676488876343, -0.22450420260429382, 0.3891754448413849, -0.24743102490901947, 1.307106852531433, 0.45597147941589355, 0.0258538406342268, 1.9298737049102783, 1.302051067352295, -0.07550562173128128, -1.007912516593933, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.11991468816995621, -0.17261835932731628, 0.21322037279605865, -0.23000706732273102, 0.8244044184684753, 0.3095843493938446, 0.04007348790764809, 1.5230988264083862, 0.974808394908905, -0.07048805803060532, -0.5864564180374146, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.12081770598888397, -0.1711033582687378, 0.2127566635608673, -0.2302137315273285, 0.8227340579032898, 0.30948519706726074, 0.04129251465201378, 1.5202059745788574, 0.9743086695671082, -0.07134874165058136, -0.5890439748764038, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3.5
5
0
6
Ses03F_impro08_F006
You're going to have to just be patient with us, sir, as we
6
neutral
0.125
826
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
3
3.5
[ { "feats": [ 0.10782920569181442, -0.18275921046733856, 0.21329201757907867, -0.2008369415998459, 0.8153914213180542, 0.3062887489795685, 0.007279313635081053, 1.4606990814208984, 0.9711147546768188, -0.04924803599715233, -0.5760056376457214, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }