label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.2939269244670868, -0.1413724720478058, 0.3433472514152527, 0.0008407935383729637, 1.284682273864746, 0.6270732283592224, 0.20082588493824005, 1.7794498205184937, 1.0644919872283936, -0.14051462709903717, -0.8955791592597961, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.3276383578777313, -0.17301271855831146, 0.3319146931171417, -0.0052987621165812016, 1.406582236289978, 0.7611439824104309, 0.1829756200313568, 1.9309924840927124, 1.0763428211212158, -0.23826879262924194, -0.912260890007019, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.24756477773189545, -0.08422718197107315, 0.36368393898010254, 0.0006746163708157837, 1.3444277048110962, 0.6178439259529114, 0.23131625354290009, 1.8994635343551636, 1.1616590023040771, -0.13792073726654053, -0.7262330055236816, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.3417917788028717, -0.14676178991794586, 0.3491774797439575, -0.01981515809893608, 1.364465594291687, 0.6978793740272522, 0.18642877042293549, 1.8584157228469849, 1.0593782663345337, -0.21157492697238922, -0.9375542998313904, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.2758440375328064, -0.10432176291942596, 0.35075652599334717, 0.010974805802106857, 1.3170233964920044, 0.635132908821106, 0.1988396942615509, 1.7940123081207275, 1.0734293460845947, -0.11423100531101227, -0.8510197997093201, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.3336513340473175, -0.018842849880456924, 0.23624815046787262, -0.12876227498054504, 1.8656290769577026, 0.8730683326721191, 0.48943623900413513, 2.2799525260925293, 1.07642662525177, 0.024559976533055305, -1.4908748865127563, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.22595219314098358, -0.08225559443235397, 0.29199641942977905, -0.12291643768548965, 1.7099393606185913, 1.0411993265151978, 0.8322320580482483, 1.9288244247436523, 1.1319847106933594, -0.03172250837087631, -1.9483704566955566, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.2947683334350586, -0.146609365940094, 0.3421091139316559, 0.002317187376320362, 1.281732201576233, 0.6288000345230103, 0.2006760984659195, 1.7786208391189575, 1.0636801719665527, -0.14430971443653107, -0.892691433429718, 0.04...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.2920430898666382, -0.14187543094158173, 0.34107738733291626, 0.002307799644768238, 1.283706784248352, 0.6252760291099548, 0.1987525224685669, 1.7781654596328735, 1.0646249055862427, -0.1417868584394455, -0.8930788040161133, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.5
2.5
6.25
0
3
Ses02M_impro01_M002
get my new license.
3
neutral
0.35
4,056
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
3.5
2.5
[ { "feats": [ 0.24753662943840027, -0.06671547144651413, 0.38263681530952454, -0.006982124876230955, 1.3699878454208374, 0.7607143521308899, 0.21245065331459045, 1.8610659837722778, 1.06193208694458, -0.21608495712280273, -0.8556138277053833, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.07311193645000458, -0.11642184853553772, 0.17224527895450592, -0.08824849128723145, 0.7597939372062683, 0.43541014194488525, 0.21415601670742035, 1.4256932735443115, 0.8330181241035461, -0.08618487417697906, -0.789303183555603, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.0574800930917263, -0.12324634939432144, 0.16285742819309235, -0.08135603368282318, 0.7527709007263184, 0.4605664610862732, 0.22857680916786194, 1.4019601345062256, 0.8181319832801819, -0.08864086121320724, -0.8211014866828918, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.05940191075205803, -0.13521641492843628, 0.1700436919927597, -0.07494470477104187, 0.7874597311019897, 0.44228824973106384, 0.2083483636379242, 1.4553072452545166, 0.8548121452331543, -0.08342786133289337, -0.7499486207962036, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.05613675341010094, -0.09949254244565964, 0.1641731858253479, -0.0736231878399849, 0.7290458083152771, 0.44023600220680237, 0.22818398475646973, 1.3621166944503784, 0.802177906036377, -0.08816250413656235, -0.7917373776435852, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.06199849396944046, -0.122360959649086, 0.169523686170578, -0.08693499118089676, 0.7739383578300476, 0.4329279363155365, 0.20736248791217804, 1.446639060974121, 0.840276300907135, -0.0901212990283966, -0.7708097100257874, -0.0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.070745550096035, -0.20816347002983093, 0.14308688044548035, -0.18636518716812134, 0.8987554311752319, 0.4122433662414551, 0.16087663173675537, 1.551599144935608, 0.9325471520423889, -0.02584514021873474, -0.8921241760253906, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.00785655528306961, -0.15356792509555817, 0.2446170598268509, -0.17560751736164093, 1.0471735000610352, 0.5497137308120728, 0.15498918294906616, 1.8019258975982666, 1.0086603164672852, 0.011001525446772575, -0.9963647723197937, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.06677138805389404, -0.11649826914072037, 0.16787545382976532, -0.08776266872882843, 0.7561324238777161, 0.43777650594711304, 0.21625250577926636, 1.4239755868911743, 0.8321579694747925, -0.0876193642616272, -0.7827788591384888, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.07004538178443909, -0.11647315323352814, 0.1701996773481369, -0.08852432668209076, 0.7576623558998108, 0.4361366033554077, 0.21477408707141876, 1.4226773977279663, 0.8322981595993042, -0.0866779163479805, -0.7863671183586121, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3
2.5
5
1.25
3
Ses02M_impro01_M003
Um, no, I got my driver's license though.
3
neutral
0.25
4,055
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
3
2.5
[ { "feats": [ 0.022747749462723732, -0.1297282725572586, 0.17093569040298462, -0.07740739732980728, 0.7403013110160828, 0.42666733264923096, 0.24357427656650543, 1.3640456199645996, 0.8300217390060425, -0.08422572165727615, -0.7776261568069458, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.03659684583544731, -0.016587546095252037, 0.21729451417922974, -0.08106040209531784, 0.6441247463226318, 0.5085963010787964, 0.1172385886311531, 1.2537157535552979, 0.7405908107757568, 0.012269286438822746, -0.6823201179504395, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.054010841995477676, -0.0348382368683815, 0.20645743608474731, -0.05277465656399727, 0.6156346797943115, 0.5038236975669861, 0.1529715657234192, 1.2272136211395264, 0.7140447497367859, 0.024934211745858192, -0.6962424516677856, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.029029803350567818, -0.02816946804523468, 0.22306916117668152, -0.08431738615036011, 0.6698476672172546, 0.4926348626613617, 0.09684856981039047, 1.2915589809417725, 0.7723423838615417, 0.047620877623558044, -0.6548269391059875, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.04176846519112587, -0.016023382544517517, 0.21943716704845428, -0.07743808627128601, 0.6238561868667603, 0.5070348381996155, 0.13575735688209534, 1.200762391090393, 0.7268336415290833, 0.0005671363323926926, -0.687656581401825, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.02608340233564377, -0.02968447655439377, 0.22625140845775604, -0.07731898128986359, 0.6554856896400452, 0.49964040517807007, 0.10920950770378113, 1.2692848443984985, 0.7427098751068115, 0.03194715827703476, -0.6546651124954224, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.07538095861673355, -0.08038321882486343, 0.15507221221923828, -0.0763336643576622, 0.7837004065513611, 0.45818814635276794, 0.07807193696498871, 1.4973235130310059, 0.8354358077049255, 0.050108447670936584, -0.7863198518753052, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.0858507975935936, -0.07875706255435944, 0.17198362946510315, -0.05229705944657326, 0.8924409747123718, 0.4872904121875763, 0.046673472970724106, 1.6352087259292603, 0.893667459487915, 0.04584928974509239, -0.907832682132721, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.033974554389715195, -0.01609792187809944, 0.2176211178302765, -0.08164381235837936, 0.6462563872337341, 0.5098465085029602, 0.11685294657945633, 1.2572500705718994, 0.7406184673309326, 0.01425166055560112, -0.6820432543754578, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.03525447100400925, -0.016657935455441475, 0.2171364724636078, -0.08097124099731445, 0.6444204449653625, 0.5087516903877258, 0.11723726987838745, 1.2538844347000122, 0.7403713464736938, 0.013152201659977436, -0.6817813515663147, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3.5
3
6.25
0
3
Ses02M_impro01_M004
Uh, sorry, I forgot them. I mean I've got to -
3
neutral
0.3
1,116
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
3.5
3
[ { "feats": [ 0.038774456828832626, -0.013671900145709515, 0.21297262609004974, -0.03090372122824192, 0.668325662612915, 0.5042608976364136, 0.11809302866458893, 1.2582836151123047, 0.7539986371994019, 0.03987156227231026, -0.7010143399238586, ...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.1464436948299408, -0.1866619884967804, 0.2085701823234558, -0.030904637649655342, 0.819038450717926, 0.4969172477722168, 0.20088838040828705, 1.157244324684143, 0.7525671124458313, 0.03285225108265877, -1.0134063959121704, 0....
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.15003708004951477, -0.1817782074213028, 0.19929072260856628, -0.024147428572177887, 0.832646369934082, 0.505251944065094, 0.2211449146270752, 1.1662784814834595, 0.7508425712585449, 0.03028416447341442, -1.0590786933898926, -...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.10020828992128372, -0.21451008319854736, 0.21175645291805267, -0.029422739520668983, 0.7871776223182678, 0.45345449447631836, 0.15507617592811584, 1.1400988101959229, 0.74610435962677, 0.015293987467885017, -0.9398030638694763, ...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.15103191137313843, -0.18008577823638916, 0.20739997923374176, -0.03274984285235405, 0.8205643892288208, 0.5052344799041748, 0.21369263529777527, 1.1517410278320312, 0.75234055519104, 0.03442239761352539, -1.0435763597488403, ...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.13101282715797424, -0.19581067562103271, 0.21234215795993805, -0.03632919490337372, 0.7829114198684692, 0.46458899974823, 0.1720551699399948, 1.115525484085083, 0.741967499256134, 0.028678705915808678, -0.9647983312606812, 0....
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.04246949404478073, -0.13608066737651825, 0.23500365018844604, -0.12863722443580627, 1.5458276271820068, 0.7568969130516052, 0.34534499049186707, 2.0118560791015625, 1.0235276222229004, -0.014850188046693802, -1.8062838315963745, ...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.03644118830561638, -0.0004415412258822471, 0.2730771005153656, -0.1064269170165062, 1.6716902256011963, 0.9720987677574158, 0.40534818172454834, 2.0246427059173584, 0.9948856234550476, -0.08321195840835571, -2.204435348510742, ...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.14249499142169952, -0.18951861560344696, 0.2093784213066101, -0.02737118862569332, 0.8159860968589783, 0.497026264667511, 0.2007928043603897, 1.14630126953125, 0.7520864009857178, 0.03455435484647751, -1.014724612236023, 0.01...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.14252720773220062, -0.18727301061153412, 0.20931768417358398, -0.029181310907006264, 0.8190244436264038, 0.4958704710006714, 0.2009526938199997, 1.157902717590332, 0.7529604434967041, 0.03473954647779465, -1.0105595588684082, ...
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
3
Ses02M_impro02_M014
and it'll work out you know, go there and do that. Yeah, I'll be back
3
neutral
0.175
7,874
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
3.5
[ { "feats": [ 0.11841211467981339, -0.18126557767391205, 0.2079855501651764, 0.002778750378638506, 0.8136382699012756, 0.4788638949394226, 0.18589557707309723, 1.1436070203781128, 0.7527382969856262, 0.024654876440763474, -1.0142717361450195, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.09230975061655045, -0.30495572090148926, 0.24333621561527252, -0.2065451294183731, 1.1055766344070435, 0.37599194049835205, 0.16918720304965973, 1.6292191743850708, 0.9433945417404175, -0.12248998135328293, -0.7284941673278809, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.07999639958143234, -0.21548406779766083, 0.2754245102405548, -0.17126452922821045, 1.097383975982666, 0.43836739659309387, 0.11709610372781754, 1.5831202268600464, 0.9685184359550476, -0.1688297688961029, -0.7497193813323975, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.06757630407810211, -0.19632796943187714, 0.15018220245838165, -0.1354183703660965, 0.9778234958648682, 0.32405781745910645, 0.08612140268087387, 1.5278550386428833, 0.9205853343009949, -0.2063322365283966, -0.6655236482620239, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.1597471833229065, -0.35666602849960327, 0.2590765953063965, -0.2219405472278595, 1.1342213153839111, 0.3917383551597595, 0.183611661195755, 1.613473892211914, 0.9321982264518738, -0.09276673197746277, -0.7604981064796448, 0.0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.09322062879800797, -0.24984411895275116, 0.15863901376724243, -0.17888297140598297, 1.0173101425170898, 0.3308543562889099, 0.10181216895580292, 1.5287141799926758, 0.8963537812232971, -0.13857203722000122, -0.6784138679504395, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.014690257608890533, -0.28875699639320374, 0.23223701119422913, -0.2862246036529541, 1.2823028564453125, 0.4336453676223755, 0.3035583794116974, 1.7333694696426392, 1.0476350784301758, -0.06150835007429123, -0.9621710777282715, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.18949666619300842, -0.2785082757472992, 0.3007280230522156, -0.216149240732193, 1.4456371068954468, 0.6004375219345093, 0.5143523216247559, 1.9341384172439575, 1.2276796102523804, -0.057694703340530396, -1.2296514511108398, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.0961831733584404, -0.28283387422561646, 0.2329503893852234, -0.20353002846240997, 1.088636040687561, 0.3781764805316925, 0.15326860547065735, 1.6114894151687622, 0.9442867040634155, -0.13347424566745758, -0.7199733853340149, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.09471789002418518, -0.29673340916633606, 0.2379804253578186, -0.20540037751197815, 1.0976070165634155, 0.3765329420566559, 0.16345614194869995, 1.6191123723983765, 0.9426514506340027, -0.12585046887397766, -0.7243911027908325, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.6667
2.3333
4.16675
0.83325
4
Ses02M_impro04_F000
So how you feeling?
4
neutral
0.152779
8,835
0.290499
-0.333333
0
0.433013
0.5
1
0
0
0
4
4
3.3333
2.6667
2.3333
[ { "feats": [ 0.0866665467619896, -0.17382998764514923, 0.1844986230134964, -0.14728718996047974, 0.9881437420845032, 0.38375237584114075, 0.11429199576377869, 1.4360945224761963, 0.9239960312843323, -0.16773542761802673, -0.7589330673217773, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06660069525241852, -0.34697604179382324, 0.19685856997966766, -0.075495645403862, 0.7871106863021851, 0.45982688665390015, 0.17337878048419952, 1.3545016050338745, 0.8601177334785461, -0.06249166652560234, -0.6392192840576172, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06939377635717392, -0.3405044674873352, 0.21078220009803772, -0.05508170276880264, 0.783541738986969, 0.49327602982521057, 0.17359204590320587, 1.3112947940826416, 0.843562126159668, -0.05843595042824745, -0.7161508202552795, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06364226341247559, -0.3320261538028717, 0.1754710078239441, -0.08280447125434875, 0.7493481636047363, 0.4201193153858185, 0.18251435458660126, 1.287949562072754, 0.8449215292930603, -0.03331629931926727, -0.6009352803230286, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06069846451282501, -0.3548029065132141, 0.20919182896614075, -0.08123287558555603, 0.7801804542541504, 0.48543214797973633, 0.17884321510791779, 1.325857162475586, 0.8491848111152649, -0.05102252960205078, -0.6616285443305969, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06481817364692688, -0.3462144732475281, 0.18906494975090027, -0.0878342017531395, 0.7677051424980164, 0.44315776228904724, 0.17588448524475098, 1.322064757347107, 0.8516996502876282, -0.046959858387708664, -0.6171013116836548, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06679446995258331, -0.27345356345176697, 0.24935254454612732, -0.05883250758051872, 0.8977534174919128, 0.5436384677886963, 0.14465299248695374, 1.4279119968414307, 0.9871464967727661, -0.06906461715698242, -0.8096500039100647, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ 0.03923040255904198, -0.217573344707489, 0.33098238706588745, -0.17826947569847107, 1.1593929529190063, 0.664068877696991, 0.1279200166463852, 1.6965043544769287, 1.117749571800232, -0.2355438619852066, -1.0059105157852173, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06634441763162613, -0.3461090922355652, 0.19656634330749512, -0.07566604763269424, 0.7864449620246887, 0.4599234461784363, 0.1738968938589096, 1.352325439453125, 0.8600619435310364, -0.06192807853221893, -0.640146791934967, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.0666876882314682, -0.3466613292694092, 0.19651052355766296, -0.07566536962985992, 0.7869566679000854, 0.45993781089782715, 0.17344240844249725, 1.3534085750579834, 0.8596299290657043, -0.062464091926813126, -0.6395553946495056, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2
2.6667
2.5
0.83325
4
Ses02M_impro04_F002
Right, so the fact you doing the best that you can is -
4
neutral
0.152762
8,172
0.316205
-0.333333
0
0.433013
0.707107
0.433013
0
0
0
4
4
3.3333
2
2.6667
[ { "feats": [ -0.06091064587235451, -0.33136942982673645, 0.1891767680644989, -0.07001443207263947, 0.7547310590744019, 0.4516240060329437, 0.16727034747600555, 1.251739740371704, 0.84019935131073, -0.04640619084239006, -0.6553444862365723, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.05813714489340782, -0.2817709743976593, 0.11148519068956375, -0.10730164498090744, 0.755827009677887, 0.3758029639720917, 0.07274550944566727, 1.2517670392990112, 0.8898065090179443, -0.043201420456171036, -0.7261884212493896, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.07579503953456879, -0.23381583392620087, 0.11584682017564774, -0.07295925170183182, 0.7786611318588257, 0.4345707893371582, 0.04302099347114563, 1.2486300468444824, 0.8878160715103149, -0.03814161196351051, -0.8003305792808533, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.05666026473045349, -0.2468847930431366, 0.09805230796337128, -0.09791694581508636, 0.7175924777984619, 0.3550262451171875, 0.0845336765050888, 1.1904352903366089, 0.8765896558761597, -0.070651113986969, -0.7125061750411987, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.05824785679578781, -0.26316389441490173, 0.11077866703271866, -0.08745616674423218, 0.7702857255935669, 0.40073055028915405, 0.05662178248167038, 1.2444335222244263, 0.8873428106307983, -0.03727627545595169, -0.7589333057403564, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.046980537474155426, -0.26158279180526733, 0.10081388056278229, -0.10481078177690506, 0.733992874622345, 0.36265337467193604, 0.09271440654993057, 1.203051209449768, 0.8780322074890137, -0.059411875903606415, -0.7285223007202148, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.11958395689725876, -0.23649564385414124, 0.2513951063156128, -0.25069209933280945, 1.10410475730896, 0.41231492161750793, 0.04608037695288658, 1.54155433177948, 1.1875392198562622, -0.12262891978025436, -1.0582008361816406, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.22513510286808014, -0.18349409103393555, 0.512718677520752, -0.23086361587047577, 1.8369717597961426, 0.7044501304626465, 0.13797527551651, 2.5169637203216553, 1.6547809839248657, -0.350143164396286, -1.360947608947754, -0.10...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.05722849443554878, -0.27527153491973877, 0.11252923309803009, -0.10327298939228058, 0.7559557557106018, 0.378294974565506, 0.06939593702554703, 1.254858136177063, 0.8925981521606445, -0.04709750413894653, -0.7282695770263672, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.058632124215364456, -0.2769101560115814, 0.11074847728013992, -0.10521678626537323, 0.7544972896575928, 0.37761762738227844, 0.07053744047880173, 1.2499743700027466, 0.8899215459823608, -0.04625207558274269, -0.7283327579498291, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.3333
3
3.33325
0.83325
4
Ses02M_impro04_F003
you know you shouldn't give yourself a hard time for that, it's the best you can.
4
neutral
0.063881
9,335
0.282068
-0.333333
0
0.5
0.433013
1.118034
0
0
0
4
4
3.3333
2.3333
3
[ { "feats": [ 0.05609479174017906, -0.22122378647327423, 0.11157326400279999, -0.07990095764398575, 0.7259100675582886, 0.3891615867614746, 0.03326428309082985, 1.142199158668518, 0.8716285228729248, -0.05465229973196983, -0.7750421166419983, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.06406388431787491, -0.285505473613739, 0.04151057451963425, -0.11407466977834702, 0.935969352722168, 0.4794355034828186, 0.29620590806007385, 1.6474099159240723, 0.9523885250091553, -0.1116841658949852, -0.8253536224365234, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.03684420883655548, -0.24802426993846893, 0.023319989442825317, -0.11328545957803726, 1.0030734539031982, 0.5402905344963074, 0.2375970035791397, 1.7177120447158813, 0.99098140001297, -0.15128295123577118, -0.8798413276672363, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.037242211401462555, -0.20697173476219177, 0.026512693613767624, -0.09539572894573212, 0.8983731269836426, 0.44487518072128296, 0.30077582597732544, 1.5485024452209473, 0.9553007483482361, -0.12242992222309113, -0.7967131733894348, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.06521085649728775, -0.27980080246925354, 0.026429755613207817, -0.11719467490911484, 0.9790984988212585, 0.5181874632835388, 0.26460039615631104, 1.699063777923584, 0.9757344722747803, -0.11830466240644455, -0.8472540378570557, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.048655543476343155, -0.2724223732948303, 0.02847195602953434, -0.12685751914978027, 0.9154327511787415, 0.4585350453853607, 0.3107924163341522, 1.5988081693649292, 0.9478297829627991, -0.10748982429504395, -0.8131545186042786, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.05653435364365578, -0.3007489740848541, 0.07849053293466568, -0.14744682610034943, 1.0580130815505981, 0.5385062098503113, 0.24488703906536102, 1.7664809226989746, 1.0007215738296509, -0.13349521160125732, -0.9199296832084656, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.2029700130224228, -0.3301548361778259, 0.2315709888935089, -0.1726592779159546, 1.433526635169983, 0.6819493770599365, 0.1912284791469574, 2.1552395820617676, 1.1874926090240479, -0.23726850748062134, -1.0328887701034546, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.06838203966617584, -0.2732529640197754, 0.037467110902071, -0.12187445163726807, 0.9307112097740173, 0.4811806082725525, 0.28707432746887207, 1.6478381156921387, 0.9619746804237366, -0.11599736660718918, -0.8207894563674927, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.06530588865280151, -0.2805819809436798, 0.03920048475265503, -0.11741011589765549, 0.9337498545646667, 0.4805420935153961, 0.291780948638916, 1.6473668813705444, 0.9563344120979309, -0.11362402886152267, -0.823118269443512, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.6667
3
2.3333
5
-0.83325
4
Ses02M_impro04_F004
Well, but you care about what you do, right?
4
neutral
0.219442
8,219
0.306635
-0.333333
0
0.5
0.707107
0.5
0
0
0
4
4
2.6667
3
2.3333
[ { "feats": [ 0.015882911160588264, -0.21339571475982666, 0.03675036504864693, -0.07288392633199692, 0.9148639440536499, 0.4993817210197449, 0.2275141030550003, 1.551426649093628, 0.9905344843864441, -0.13355840742588043, -0.8392733335494995, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.08707969635725021, -0.20981913805007935, 0.14573486149311066, -0.04809674620628357, 0.8219016790390015, 0.43816232681274414, 0.09740420430898666, 1.4184420108795166, 0.822586178779602, 0.006125797983258963, -0.7704532742500305, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.06968342512845993, -0.18671295046806335, 0.14210039377212524, -0.02847391739487648, 0.8158463835716248, 0.47318965196609497, 0.09774670749902725, 1.39402174949646, 0.7975057363510132, 0.008897009305655956, -0.7927887439727783, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.07493123412132263, -0.17446362972259521, 0.12980419397354126, -0.04858370125293732, 0.7942572236061096, 0.3996322751045227, 0.07585101574659348, 1.368574619293213, 0.7989131808280945, -0.025550365447998047, -0.7361617088317871, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.0776854157447815, -0.1974181979894638, 0.1480194628238678, -0.04057788476347923, 0.8183367252349854, 0.45127877593040466, 0.09029644727706909, 1.4092659950256348, 0.8066546320915222, 0.009917108342051506, -0.7760248184204102, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.08359264582395554, -0.1897040605545044, 0.1383284628391266, -0.0418982170522213, 0.804227352142334, 0.4178934693336487, 0.09393659234046936, 1.3985849618911743, 0.8153670430183411, -0.0033077800180763006, -0.7526054978370667, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.07588901370763779, -0.19375652074813843, 0.20324887335300446, -0.10864979773759842, 0.9740338325500488, 0.4711592495441437, 0.08141960948705673, 1.574052095413208, 0.9168834090232849, -0.01567734032869339, -0.9184479117393494, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.13379622995853424, -0.17274931073188782, 0.3399369716644287, -0.1596408188343048, 1.3601640462875366, 0.5998916029930115, 0.11403828114271164, 2.0568463802337646, 1.1324262619018555, -0.0559048168361187, -1.1587897539138794, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.08487968146800995, -0.20860698819160461, 0.14620159566402435, -0.047336071729660034, 0.8223078846931458, 0.4377152621746063, 0.09516961872577667, 1.418270230293274, 0.8221288919448853, 0.006222224794328213, -0.7689617872238159, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.08598724007606506, -0.20911359786987305, 0.14523980021476746, -0.04834248498082161, 0.8211273550987244, 0.4375576674938202, 0.09642422944307327, 1.4150937795639038, 0.8214716911315918, 0.006217215675860643, -0.7699240446090698, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.3333
2.6667
3.33325
0.83325
4
Ses02M_impro04_F005
I understand that it's so frustrating but I know that you're here because you really want it you know and, and uh
4
neutral
0.086099
8,202
0.31142
-0.333333
0
0.433013
0.5
0.707107
0
0
0
4
4
3.3333
2.3333
2.6667
[ { "feats": [ 0.06341448426246643, -0.17386482656002045, 0.1333024948835373, -0.03745841234922409, 0.7930559515953064, 0.4382592439651489, 0.05865935608744621, 1.3304363489151, 0.7921242117881775, -0.01859760656952858, -0.7748615145683289, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.10387954860925674, -0.11757704615592957, 0.22634123265743256, -0.01329696923494339, 0.6919453144073486, 0.38482919335365295, 0.16298459470272064, 1.3400098085403442, 0.8306750059127808, -0.10870566964149475, -0.7398892045021057, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.10619296133518219, -0.12743476033210754, 0.21644553542137146, 0.008956467732787132, 0.6780228614807129, 0.39688432216644287, 0.12125620990991592, 1.3236714601516724, 0.8120719790458679, -0.1265014111995697, -0.7544152736663818, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.09754322469234467, -0.12032687664031982, 0.20580601692199707, -0.015616700053215027, 0.6662319302558899, 0.35123664140701294, 0.14447636902332306, 1.2994617223739624, 0.821011483669281, -0.1216244101524353, -0.6917316317558289, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.10292282700538635, -0.12636592984199524, 0.22594763338565826, -0.004052968230098486, 0.6924668550491333, 0.3965091407299042, 0.14219442009925842, 1.3404268026351929, 0.8247708678245544, -0.10246314108371735, -0.7474302053451538, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.10743215680122375, -0.11847764998674393, 0.22127942740917206, -0.00785158108919859, 0.6854109168052673, 0.36433473229408264, 0.15998880565166473, 1.3038264513015747, 0.8265703320503235, -0.10901638865470886, -0.7310107350349426, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.1435406655073166, -0.1209191083908081, 0.25194740295410156, -0.04556920751929283, 0.8589532375335693, 0.43478283286094666, 0.1456340104341507, 1.5252069234848022, 1.006582260131836, -0.10743997991085052, -0.8932520151138306, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.22261536121368408, -0.09184106439352036, 0.5459941029548645, -0.17402808368206024, 1.3002508878707886, 0.5338183641433716, 0.08885066956281662, 1.9687529802322388, 1.2492181062698364, -0.2178996503353119, -0.9934542775154114, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.10401526093482971, -0.11642792075872421, 0.2257843166589737, -0.012481831945478916, 0.692514181137085, 0.3846636712551117, 0.1613493710756302, 1.3404711484909058, 0.8307942152023315, -0.1096545159816742, -0.7382773756980896, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.10358722507953644, -0.1169353649020195, 0.22576239705085754, -0.012987406924366951, 0.6915577054023743, 0.3845793306827545, 0.16233372688293457, 1.3391250371932983, 0.8301057815551758, -0.10831233859062195, -0.7389721274375916, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.3333
2.3333
2.3333
3.33325
0.83325
4
Ses02M_impro04_F006
Well, I mean you're still here you've tried for this long so I think that says something all in itself.
4
neutral
0.152779
8,578
0.300069
-0.333333
0
0.5
0.433013
0.866025
0
0
0
4
4
3.3333
2.3333
2.3333
[ { "feats": [ 0.09560616314411163, -0.10691699385643005, 0.19075357913970947, 0.013957235962152481, 0.6686447858810425, 0.37399065494537354, 0.13826335966587067, 1.2528687715530396, 0.8189416527748108, -0.11397188901901245, -0.7171758413314819, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }