label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
3
2.5
2
3.75
0
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ -0.0017976477975025773, -0.2802567481994629, 0.17675155401229858, 0.01542620174586773, 1.2919970750808716, 0.49290698766708374, 0.1993653029203415, 1.625211238861084, 1.0296342372894287, -0.11129379272460938, -1.085533857345581, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.009751486591994762, -0.1389371156692505, 0.2106725573539734, 0.07711027562618256, 1.1605991125106812, 0.5380035638809204, 0.18800197541713715, 1.5884300470352173, 0.9876850247383118, -0.07331980764865875, -1.1182117462158203, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ -0.02758093923330307, -0.2536062002182007, 0.14081041514873505, 0.011792415753006935, 1.2899398803710938, 0.5496600270271301, 0.2284160703420639, 1.7155290842056274, 1.0380831956863403, -0.15985998511314392, -0.9302159547805786, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ -0.010439224541187286, -0.3003251254558563, 0.2084246426820755, -0.01860854960978031, 1.3177651166915894, 0.5024634003639221, 0.21018226444721222, 1.6672605276107788, 0.9976655840873718, -0.08191222697496414, -1.090707540512085, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ -0.007656675297766924, -0.2715498208999634, 0.17633509635925293, 0.011594440788030624, 1.2681938409805298, 0.491382896900177, 0.2529500126838684, 1.6374660730361938, 0.9937509298324585, -0.10004309564828873, -0.9918570518493652, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.22967931628227234, -0.2167397439479828, 0.20625485479831696, -0.18137876689434052, 1.8684102296829224, 0.6319337487220764, 0.35054728388786316, 2.0386362075805664, 1.2183538675308228, 0.19786493480205536, -1.5960453748703003, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.31710904836654663, -0.267360121011734, 0.21709102392196655, -0.201186865568161, 1.979273796081543, 0.6537980437278748, 0.5130946636199951, 2.0296595096588135, 1.1896847486495972, 0.2786339521408081, -1.7486952543258667, -0.02...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ 0.0009639093186706305, -0.2749732732772827, 0.1772649586200714, 0.016191164031624794, 1.288108229637146, 0.49368777871131897, 0.1984645277261734, 1.625930666923523, 1.0217195749282837, -0.11312457174062729, -1.0695382356643677, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ -0.002982858568429947, -0.2800503969192505, 0.17506526410579681, 0.016322670504450798, 1.2922288179397583, 0.49521946907043457, 0.19781458377838135, 1.6272308826446533, 1.0309293270111084, -0.11357159912586212, -1.0845797061920166, ...
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
1
Ses01F_impro05_M008
Uh-huh.
1
neutral
0.2
6,623
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
3
2.5
2
[ { "feats": [ -0.04393710196018219, -0.29645460844039917, 0.27761173248291016, -0.009316093288362026, 1.2097760438919067, 0.47461870312690735, 0.21041183173656464, 1.6651057004928589, 0.9508147239685059, 0.04090624302625656, -1.002814769744873, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10572373867034912, -0.1890549212694168, 0.3444293141365051, -0.08258314430713654, 1.09782874584198, 0.7487550973892212, 0.16544558107852936, 1.849565029144287, 0.9349851012229919, -0.16570104658603668, -0.9753873348236084, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.11442194133996964, -0.13910610973834991, 0.2877535820007324, -0.08271507173776627, 1.0065209865570068, 0.7137270569801331, 0.148421972990036, 1.6090338230133057, 0.8741165995597839, -0.14565612375736237, -0.9889368414878845, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.11819379031658173, -0.23162947595119476, 0.3316679000854492, -0.11399098485708237, 1.0926828384399414, 0.6937870383262634, 0.14298087358474731, 1.845439076423645, 0.9468733668327332, -0.16439540684223175, -0.9066121578216553, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.09038762748241425, -0.153291255235672, 0.3123839795589447, -0.07457905262708664, 1.0282467603683472, 0.712531566619873, 0.15054993331432343, 1.6967616081237793, 0.8722628355026245, -0.18442516028881073, -0.974444568157196, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.09026146680116653, -0.20958761870861053, 0.35166311264038086, -0.09705261886119843, 1.089984655380249, 0.7171836495399475, 0.13167566061019897, 1.8513802289962769, 0.924217700958252, -0.17826607823371887, -0.9061850905418396, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.13646893203258514, -0.12157654762268066, 0.2973613440990448, -0.11853502690792084, 1.0180795192718506, 0.6217503547668457, 0.13720940053462982, 1.7313635349273682, 0.8751779794692993, -0.2351595014333725, -0.9272316694259644, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.11490362137556076, -0.12854772806167603, 0.40378329157829285, -0.17015579342842102, 1.2170286178588867, 0.7279240489006042, 0.15706753730773926, 2.075748920440674, 0.9528334140777588, -0.238754540681839, -0.9663457870483398, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10563624650239944, -0.1896347999572754, 0.3438965380191803, -0.08296772092580795, 1.0974515676498413, 0.7486757040023804, 0.1654193103313446, 1.8495993614196777, 0.934649646282196, -0.16578848659992218, -0.9742608070373535, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10606154054403305, -0.18919429183006287, 0.3436441123485565, -0.08238360285758972, 1.0975759029388428, 0.7482579350471497, 0.16544780135154724, 1.8476746082305908, 0.9348973035812378, -0.16562747955322266, -0.9755921959877014, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M009
Yeah. Yeah, I don't see- I don't see any--
1
neutral
0.325
8,635
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10928983986377716, -0.14403149485588074, 0.3054429292678833, -0.06607703864574432, 0.9938682913780212, 0.6590991020202637, 0.1422354131937027, 1.588437795639038, 0.8837104439735413, -0.1692277044057846, -0.9561682939529419, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.12583793699741364, -0.15443481504917145, 0.12443488836288452, -0.09601844102144241, 0.6258747577667236, 0.3883381485939026, 0.11512912809848785, 1.1773852109909058, 0.7133035063743591, -0.009656489826738834, -0.8217698335647583, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10255101323127747, -0.13085906207561493, 0.10871929675340652, -0.07985281199216843, 0.6137016415596008, 0.4131844937801361, 0.1306753009557724, 1.1278235912322998, 0.7034310698509216, -0.007850664667785168, -0.8656944632530212, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10857097059488297, -0.14876152575016022, 0.11965185403823853, -0.08382310718297958, 0.6258494853973389, 0.3450290858745575, 0.0988863855600357, 1.1862056255340576, 0.7154474258422852, -0.01533365249633789, -0.7672922611236572, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.1240667998790741, -0.14737428724765778, 0.11399977654218674, -0.09196498990058899, 0.6209295392036438, 0.4045226573944092, 0.12273096293210983, 1.147002935409546, 0.7084074020385742, -0.009596077725291252, -0.8438029289245605, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.11789681017398834, -0.15093351900577545, 0.12578964233398438, -0.08710303902626038, 0.626344621181488, 0.36578038334846497, 0.10904577374458313, 1.1759120225906372, 0.7119789123535156, -0.011032288894057274, -0.7964857816696167, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.08209320902824402, -0.18092092871665955, 0.1456224024295807, -0.07296673953533173, 0.7732415795326233, 0.396040678024292, 0.08822024613618851, 1.3225560188293457, 0.7664203643798828, -0.009737632237374783, -0.9396621584892273, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10248254984617233, -0.22378818690776825, 0.1914701908826828, -0.08081210404634476, 0.9471861720085144, 0.4215233623981476, 0.064956896007061, 1.5368530750274658, 0.8603158593177795, -0.01427990198135376, -1.0688087940216064, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.12517429888248444, -0.15361207723617554, 0.12409467250108719, -0.09559973329305649, 0.6264920830726624, 0.38851672410964966, 0.11487329751253128, 1.177244782447815, 0.7135580778121948, -0.009612821973860264, -0.8216473460197449, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.12529076635837555, -0.15384580194950104, 0.12425141036510468, -0.09578139334917068, 0.6258153319358826, 0.38826921582221985, 0.11505433171987534, 1.1767520904541016, 0.713295578956604, -0.009683058597147465, -0.8215462565422058, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M011
we've mistakenly lost your baggage. We're very sorry. On behalf of Jet Blue I would like to apologize for any inconvenience. I am allowed to issue you a fifty dollar gift card which you can use any future flights you want to take with us. I'm very sorry, once again...
1
neutral
0.325
8,632
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.09381182491779327, -0.14201760292053223, 0.11723408848047256, -0.06593159586191177, 0.6070325970649719, 0.36673474311828613, 0.11159186065196991, 1.1082009077072144, 0.697481632232666, -0.0209577027708292, -0.813954770565033, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1804419606924057, -0.3117184638977051, 0.1936037540435791, -0.09421113133430481, 0.9599528908729553, 0.48494458198547363, 0.21738865971565247, 1.613385796546936, 0.9746248722076416, -0.11681752651929855, -0.7287794351577759, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.15139548480510712, -0.3299955427646637, 0.1762191355228424, -0.13595828413963318, 0.8622409701347351, 0.5041233897209167, 0.16927559673786163, 1.4804447889328003, 0.9016863107681274, -0.08893377333879471, -0.8103848695755005, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1784079670906067, -0.34593555331230164, 0.17418116331100464, -0.08786536008119583, 0.9505211114883423, 0.4196341037750244, 0.1810276359319687, 1.6894718408584595, 0.9929395318031311, -0.10365236550569534, -0.6294662952423096, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.16402766108512878, -0.31962651014328003, 0.21416428685188293, -0.13605594635009766, 0.9334713816642761, 0.5312746167182922, 0.21410039067268372, 1.5852329730987549, 0.9532874822616577, -0.10867616534233093, -0.7580699920654297, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1797025352716446, -0.3397993743419647, 0.19000568985939026, -0.09667212516069412, 0.9793486595153809, 0.45583575963974, 0.19305388629436493, 1.6638065576553345, 0.9931508898735046, -0.10102879256010056, -0.6796453595161438, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.14083628356456757, -0.3265726566314697, 0.18809448182582855, -0.12601466476917267, 0.9005257487297058, 0.3949633836746216, 0.10940628498792648, 1.5661624670028687, 0.9838808178901672, -0.06736251711845398, -0.8155994415283203, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.21010924875736237, -0.30119919776916504, 0.30483248829841614, -0.14709948003292084, 1.131910800933838, 0.46812835335731506, 0.06067417934536934, 1.8340362310409546, 1.1596450805664062, -0.16453717648983002, -0.9474415183067322, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1794663667678833, -0.3122495114803314, 0.19241400063037872, -0.09445424377918243, 0.9584243893623352, 0.4838358759880066, 0.21642209589481354, 1.6111410856246948, 0.9734528064727783, -0.11682940274477005, -0.728070855140686, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.17979128658771515, -0.3116756081581116, 0.19280995428562164, -0.09427358955144882, 0.959499180316925, 0.4845990240573883, 0.21721281111240387, 1.6119818687438965, 0.9742749333381653, -0.11728289723396301, -0.7288863062858582, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M012
for such an inconvenience and your bag, but
1
neutral
0.65
7,444
0.324634
null
null
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.14378660917282104, -0.3067825436592102, 0.18451634049415588, -0.10506074130535126, 0.9092720150947571, 0.4808467626571655, 0.18544963002204895, 1.511701226234436, 0.9463252425193787, -0.08151426166296005, -0.7751790285110474, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.08670233190059662, -0.199588343501091, 0.18500947952270508, -0.044481437653303146, 0.9945962429046631, 0.678370475769043, 0.4005906283855438, 1.6987478733062744, 0.9985256791114807, -0.40038129687309265, -0.8104287981987, 0.1...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ -0.037460193037986755, -0.15669266879558563, 0.1554490178823471, -0.09595385938882828, 1.002457857131958, 0.6795364618301392, 0.33245131373405457, 1.7423646450042725, 0.8827425837516785, -0.32640939950942993, -0.7746454477310181, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ -0.001310988562181592, -0.30398252606391907, 0.11743643879890442, 0.022775115445256233, 1.042626976966858, 0.6440563797950745, 0.45872074365615845, 1.6838111877441406, 0.9723431468009949, -0.3442377746105194, -0.8613559603691101, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ -0.01406332291662693, -0.11224120110273361, 0.1951618790626526, -0.08923641592264175, 0.9442014694213867, 0.6316561102867126, 0.37794598937034607, 1.6284292936325073, 0.8788197636604309, -0.3272993266582489, -0.8006309866905212, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.05797883868217468, -0.23936980962753296, 0.19143009185791016, -0.03674427047371864, 1.0261796712875366, 0.6728000640869141, 0.42940816283226013, 1.7633253335952759, 1.0006743669509888, -0.3753844201564789, -0.7968316674232483, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ -0.14266589283943176, -0.18203170597553253, 0.14107947051525116, -0.21837328374385834, 0.9832110404968262, 0.5831236243247986, 0.26777780055999756, 1.7041962146759033, 0.9636982679367065, -0.19724079966545105, -0.876330554485321, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ -0.01244904100894928, -0.17345453798770905, 0.19263218343257904, -0.2363692820072174, 1.047027587890625, 0.6409507393836975, 0.1732562631368637, 1.646350622177124, 0.9970139265060425, -0.19379782676696777, -1.054455041885376, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.08633945137262344, -0.19969622790813446, 0.18432500958442688, -0.044380225241184235, 0.9952970743179321, 0.6800485253334045, 0.4002392888069153, 1.7009254693984985, 0.9988452792167664, -0.4004400670528412, -0.8104060888290405, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.08596883714199066, -0.1999475359916687, 0.18405012786388397, -0.04412975534796715, 0.9939143061637878, 0.6782667636871338, 0.4008283317089081, 1.697500467300415, 0.9979180097579956, -0.4000707268714905, -0.8107607960700989, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M013
Yeah.
1
neutral
0.65
6,621
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.0386304035782814, -0.23233242332935333, 0.11089085787534714, -0.04280805587768555, 0.8770907521247864, 0.617986798286438, 0.39424750208854675, 1.4300196170806885, 0.8790686726570129, -0.3168824017047882, -0.8879764080047607, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ 0.05938753858208656, -0.2198483645915985, 0.41866886615753174, -0.08811495453119278, 0.8295004367828369, 0.5087075233459473, 0.11185438185930252, 1.6878072023391724, 1.050179123878479, -0.2530784010887146, -0.6205815076828003, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ -0.06196151301264763, -0.09079953283071518, 0.4463147222995758, -0.042784225195646286, 0.811248779296875, 0.5781513452529907, 0.17247548699378967, 1.7122409343719482, 1.0363768339157104, -0.3389327824115753, -0.5825327634811401, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ 0.03253006562590599, -0.393694132566452, 0.49291980266571045, -0.17777933180332184, 0.9070367813110352, 0.5347121357917786, 0.08075665682554245, 1.8821460008621216, 1.0805611610412598, -0.18662689626216888, -0.44404152035713196, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ 0.01240380946546793, -0.12691716849803925, 0.4083781838417053, -0.05194786190986633, 0.7909111976623535, 0.5213375091552734, 0.1481231153011322, 1.6531884670257568, 1.0344574451446533, -0.31213778257369995, -0.6243362426757812, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ 0.025008216500282288, -0.3283002972602844, 0.4375561773777008, -0.1269207000732422, 0.8719566464424133, 0.5237692594528198, 0.10623487085103989, 1.7790002822875977, 1.0825221538543701, -0.19966958463191986, -0.5378581881523132, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ -0.01899588853120804, -0.3661840260028839, 0.3361477851867676, -0.1506814956665039, 0.8781402111053467, 0.46589934825897217, 0.09025656431913376, 1.8904438018798828, 1.2091695070266724, -0.301169753074646, -0.48701995611190796, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ -0.0620424821972847, -0.42493587732315063, 0.35819998383522034, -0.1937476545572281, 0.870971143245697, 0.4368721544742584, 0.07637017220258713, 1.7790998220443726, 1.178991436958313, -0.38595521450042725, -0.500735878944397, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ 0.0552893728017807, -0.22445018589496613, 0.4188075065612793, -0.08674142509698868, 0.8306857347488403, 0.5096132755279541, 0.11145728081464767, 1.6894607543945312, 1.0512620210647583, -0.253635048866272, -0.6188780665397644, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ 0.05772533640265465, -0.22184042632579803, 0.41872531175613403, -0.0875941812992096, 0.8301260471343994, 0.5092049837112427, 0.11171141266822815, 1.6884920597076416, 1.0506514310836792, -0.2533012926578522, -0.6200792193412781, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
1.5
3.75
-1.25
1
Ses01F_impro05_M014
No, no.
1
neutral
0.575
8,421
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
1.5
[ { "feats": [ -0.028679795563220978, -0.20304518938064575, 0.48478174209594727, -0.01226397231221199, 0.8394373059272766, 0.5546384453773499, 0.15441080927848816, 1.847206950187683, 1.1056149005889893, -0.3226481080055237, -0.5059860348701477, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1395789533853531, -0.32451221346855164, 0.1541452705860138, 0.017156513407826424, 0.7342127561569214, 0.45101383328437805, 0.13726390898227692, 1.4449570178985596, 0.8175950050354004, -0.014156392775475979, -0.7935932874679565, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.09875115752220154, -0.3044462502002716, 0.14712224900722504, 0.023025985807180405, 0.73506098985672, 0.4372050166130066, 0.12503071129322052, 1.365936517715454, 0.7880240082740784, -0.015783466398715973, -0.8400169610977173, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.12138313800096512, -0.3789369463920593, 0.201090008020401, 0.02282976731657982, 0.776243269443512, 0.41866832971572876, 0.11109858751296997, 1.519618034362793, 0.8248693346977234, 0.013823709450662136, -0.6812572479248047, -0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1393108367919922, -0.31830763816833496, 0.14871346950531006, 0.036567434668540955, 0.7544509768486023, 0.4566061794757843, 0.1495942324399948, 1.4102318286895752, 0.8040607571601868, -0.009817685931921005, -0.8323262929916382, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1387404054403305, -0.35878804326057434, 0.1723252385854721, 0.018841510638594627, 0.7641060948371887, 0.44257399439811707, 0.1272483766078949, 1.497894525527954, 0.8292801976203918, 0.0065610832534730434, -0.7519209980964661, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.1106884777545929, -0.4552164673805237, 0.1402900367975235, -0.05837651714682579, 0.9209999442100525, 0.43293026089668274, 0.14340928196907043, 1.6846718788146973, 0.8827534914016724, 0.07318639010190964, -0.876980185508728, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.22136932611465454, -0.4983474314212799, 0.1927080899477005, -0.15087996423244476, 1.109352469444275, 0.5859789848327637, 0.1210424154996872, 1.874983549118042, 1.0402966737747192, -0.007942965254187584, -1.0791456699371338, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.13835451006889343, -0.32685551047325134, 0.15633659064769745, 0.017486339434981346, 0.7369747757911682, 0.4522915780544281, 0.13717086613178253, 1.4482985734939575, 0.8175079822540283, -0.014308414421975613, -0.7935516834259033, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.13801050186157227, -0.3251752555370331, 0.15428823232650757, 0.017584968358278275, 0.7345949411392212, 0.4511185586452484, 0.1369832158088684, 1.4451252222061157, 0.8173385858535767, -0.01327536255121231, -0.7930877208709717, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M015
No, no. This is real.
1
neutral
0.65
6,620
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.10176315903663635, -0.29832014441490173, 0.1745765060186386, 0.050069116055965424, 0.7317734360694885, 0.4522150158882141, 0.12526296079158783, 1.421167254447937, 0.8108024001121521, -0.001605271128937602, -0.7774560451507568, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.13504721224308014, -0.24787773191928864, 0.14947552978992462, -0.05667911842465401, 0.679722011089325, 0.4205709993839264, 0.12536491453647614, 1.3303143978118896, 0.7013073563575745, 0.018126163631677628, -0.8141059279441833, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.14247895777225494, -0.23547710478305817, 0.1356707513332367, -0.044569432735443115, 0.6461123824119568, 0.44342219829559326, 0.14919982850551605, 1.2582675218582153, 0.6756771802902222, 0.0011568384943529963, -0.8684549927711487, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.11801379919052124, -0.274630606174469, 0.14897821843624115, -0.034655582159757614, 0.680987536907196, 0.3824494183063507, 0.1018935814499855, 1.3636863231658936, 0.7050610184669495, 0.00999385304749012, -0.7463869452476501, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.13718971610069275, -0.2473224699497223, 0.13681799173355103, -0.06201208010315895, 0.6744825839996338, 0.4328617453575134, 0.1464318186044693, 1.3095546960830688, 0.6934321522712708, 0.01258240919560194, -0.8517548441886902, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.12456528842449188, -0.2631492614746094, 0.15229803323745728, -0.047998663038015366, 0.6806769967079163, 0.39820581674575806, 0.11031830310821533, 1.3418422937393188, 0.6978035569190979, 0.017880478873848915, -0.7833732962608337, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.07877819240093231, -0.2501574754714966, 0.08325251936912537, -0.029095284640789032, 0.7367112636566162, 0.42451992630958557, 0.12231246381998062, 1.4037659168243408, 0.7347625494003296, 0.00042665962246246636, -0.8743356466293335, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.1004858985543251, -0.30476465821266174, 0.10420369356870651, -0.04023123160004616, 0.8490826487541199, 0.47922149300575256, 0.1319553554058075, 1.5791270732879639, 0.8079375624656677, -0.009437555447220802, -0.9578074216842651, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.13455228507518768, -0.2485966980457306, 0.14928926527500153, -0.0559881292283535, 0.6798609495162964, 0.4209821820259094, 0.12540917098522186, 1.3305315971374512, 0.7011798024177551, 0.01788650080561638, -0.8138324022293091, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.13469888269901276, -0.24811382591724396, 0.14939890801906586, -0.05641544982790947, 0.6796545386314392, 0.42061200737953186, 0.1252167969942093, 1.3299808502197266, 0.701309084892273, 0.018079359084367752, -0.813819169998169, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
1
Ses01F_impro05_M016
No. I'm just giving you money, the bag is gone. If it's not here, I'm really sorry there is nothing I can do because...
1
neutral
0.325
5,493
0.382149
null
null
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.10013723373413086, -0.2418411374092102, 0.135364830493927, -0.028830330818891525, 0.65679532289505, 0.39801132678985596, 0.11279825866222382, 1.279288411140442, 0.683566153049469, -0.0017298043239861727, -0.8067535161972046, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1104608029127121, -0.2456061840057373, 0.14867371320724487, -0.1230369582772255, 0.75035560131073, 0.38621193170547485, 0.15281136333942413, 1.3839712142944336, 0.7841509580612183, 0.008061204105615616, -1.0206608772277832, -...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.10390343517065048, -0.23732738196849823, 0.13243941962718964, -0.07207810133695602, 0.7709097266197205, 0.439262717962265, 0.15228471159934998, 1.3464499711990356, 0.7885274291038513, 0.013476438820362091, -1.1019057035446167, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.13087008893489838, -0.23263996839523315, 0.12827658653259277, -0.12915457785129547, 0.7865806221961975, 0.3602960407733917, 0.1367865800857544, 1.460382342338562, 0.809830367565155, -0.026597250252962112, -0.9800660014152527, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.09777892380952835, -0.2415716052055359, 0.14883601665496826, -0.09678523987531662, 0.7573081851005554, 0.40894031524658203, 0.15289872884750366, 1.3446767330169678, 0.7894986271858215, 0.015611897222697735, -1.0599300861358643, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11307444423437119, -0.262078195810318, 0.14719133079051971, -0.1258712112903595, 0.7734200358390808, 0.37381139397621155, 0.1425154209136963, 1.410326361656189, 0.7977046966552734, -0.00705547071993351, -1.0101819038391113, -...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08165189623832703, -0.23324331641197205, 0.07247184216976166, -0.08798902481794357, 0.8475438356399536, 0.39522674679756165, 0.06244514882564545, 1.4371287822723389, 0.8392854332923889, -0.012996179051697254, -1.1536568403244019, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11069512367248535, -0.25509828329086304, 0.09376364946365356, -0.0808868259191513, 0.9614920020103455, 0.42562344670295715, 0.058480631560087204, 1.6011103391647339, 0.8801587224006653, -0.03510962054133415, -1.2360635995864868, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1095949113368988, -0.24466362595558167, 0.1479618102312088, -0.12264524400234222, 0.7490241527557373, 0.38586798310279846, 0.15150249004364014, 1.3811696767807007, 0.7843100428581238, 0.007808612659573555, -1.019194483757019, ...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.11033827811479568, -0.2448819875717163, 0.14824178814888, -0.12279168516397476, 0.749747633934021, 0.38613757491111755, 0.1524973064661026, 1.3827890157699585, 0.7841811776161194, 0.007916254922747612, -1.0204410552978516, -0...
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
1
Ses01F_impro05_M017
this is the only track record that we have and if it's not listed here then it's probably not anywhere.
1
neutral
0.175
8,363
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.0726424977183342, -0.21323136985301971, 0.15181699395179749, -0.06798539310693741, 0.7441010475158691, 0.3844934403896332, 0.12590907514095306, 1.3390812873840332, 0.7831024527549744, -0.005682727787643671, -1.043206810951233, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.10759931057691574, -0.28404489159584045, 0.4727029800415039, -0.03639506548643112, 1.0051774978637695, 0.559195339679718, 0.10954193025827408, 1.6474920511245728, 1.0752896070480347, -0.30247214436531067, -0.8672740459442139, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.019424693658947945, -0.14357182383537292, 0.3917020559310913, -0.07485095411539078, 0.899246335029602, 0.5206134915351868, 0.11569372564554214, 1.5279697179794312, 1.02200186252594, -0.3003629148006439, -0.8935086131095886, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.08636754006147385, -0.2519994378089905, 0.4693240225315094, 0.03969135880470276, 0.9374150633811951, 0.4736722409725189, 0.09800410270690918, 1.5958865880966187, 1.0615298748016357, -0.2733306288719177, -0.7702015042304993, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.08562763780355453, -0.24829652905464172, 0.43741941452026367, -0.04550959914922714, 0.9359051585197449, 0.5556057095527649, 0.1191767081618309, 1.5791891813278198, 1.050769567489624, -0.32615965604782104, -0.8578438758850098, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.1287440061569214, -0.2605622410774231, 0.4675429165363312, 0.0023773442953824997, 0.941188395023346, 0.5200470089912415, 0.08747736364603043, 1.559941053390503, 1.0783814191818237, -0.27126410603523254, -0.8354361653327942, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.08245256543159485, -0.16158874332904816, 0.43405935168266296, -0.0621408112347126, 0.9062580466270447, 0.48686283826828003, 0.13929404318332672, 1.386441946029663, 1.0663284063339233, -0.2735440135002136, -0.7829812169075012, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.1133628785610199, -0.2081989347934723, 0.5098106861114502, -0.19816577434539795, 1.0839866399765015, 0.5280814170837402, 0.14117269217967987, 1.5890270471572876, 1.1613203287124634, -0.3438012897968292, -0.8621270060539246, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.10668202489614487, -0.2833065986633301, 0.47347185015678406, -0.036279380321502686, 1.0052845478057861, 0.5592305660247803, 0.10918682813644409, 1.6473186016082764, 1.0754846334457397, -0.30307692289352417, -0.8676687479019165, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.10677316039800644, -0.283549964427948, 0.4727167785167694, -0.036215320229530334, 1.0046387910842896, 0.5589964985847473, 0.10931506007909775, 1.6468273401260376, 1.075081467628479, -0.302683025598526, -0.8672309517860413, -0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01F_impro05_M019
Yes.
1
neutral
0.4
5,369
0.382149
-0.333333
0
0.471405
0
0.942809
0
null
0
4
3
2.5
2
2
[ { "feats": [ 0.045662909746170044, -0.14606456458568573, 0.3826789855957031, -0.02241995744407177, 0.8143637180328369, 0.4917490482330322, 0.10787448287010193, 1.3557448387145996, 1.0234194993972778, -0.246692955493927, -0.7325165271759033, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }