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
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.11300689727067947, -0.17009997367858887, 0.20741723477840424, -0.05162298306822777, 0.7038282752037048, 0.3953155279159546, 0.10088735073804855, 1.2210056781768799, 0.6583351492881775, -0.004852402489632368, -0.8595153093338013, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.12105363607406616, -0.1435302346944809, 0.2228502333164215, -0.028681529685854912, 0.7010791301727295, 0.441303014755249, 0.11422376334667206, 1.1902745962142944, 0.6631789207458496, 0.004083273466676474, -0.9159445762634277, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.11728239059448242, -0.1693568080663681, 0.18137401342391968, -0.024607835337519646, 0.6749868392944336, 0.35601121187210083, 0.07830823957920074, 1.1833622455596924, 0.6509613394737244, 0.001309958752244711, -0.8025529980659485, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.11934208124876022, -0.1521451473236084, 0.21200598776340485, -0.04520997032523155, 0.706653356552124, 0.4170101284980774, 0.11013273149728775, 1.2134281396865845, 0.6603167653083801, -0.005366932135075331, -0.8896915316581726, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.11174796521663666, -0.17467595636844635, 0.1928185522556305, -0.032852109521627426, 0.6832693815231323, 0.3775905966758728, 0.08680275082588196, 1.1938494443893433, 0.6500479578971863, 0.000665790808852762, -0.8233720064163208, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.055858153849840164, -0.19869017601013184, 0.16524706780910492, -0.10231384634971619, 0.7037532329559326, 0.43640413880348206, 0.05883101001381874, 1.311859369277954, 0.708945631980896, -0.020681146532297134, -0.8749974966049194, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.11009976267814636, -0.22695231437683105, 0.172810897231102, -0.06986314058303833, 0.8238743543624878, 0.491536408662796, 0.05589950457215309, 1.471248984336853, 0.7635321617126465, -0.042421236634254456, -0.9557904005050659, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.11264236271381378, -0.1693378984928131, 0.20726457238197327, -0.04956106096506119, 0.7023565769195557, 0.3950825333595276, 0.09897339344024658, 1.218105435371399, 0.6572463512420654, -0.00440270034596324, -0.8581130504608154, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.112599216401577, -0.1696648895740509, 0.2071351557970047, -0.05038664862513542, 0.7023236155509949, 0.3948970437049866, 0.0998043641448021, 1.2182273864746094, 0.6575110554695129, -0.004616079851984978, -0.8586832284927368, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
4
5
-1.25
7
Ses04F_script03_1_M028
The one where you bought that little painted wooden snake and put it on my bed.
7
neutral
0.4
1,009
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
3
4
[ { "feats": [ 0.09975308924913406, -0.1671019196510315, 0.20569242537021637, -0.017597300931811333, 0.678747832775116, 0.40474462509155273, 0.10138693451881409, 1.1537752151489258, 0.6478170156478882, 0.006151200737804174, -0.8616331219673157, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.1900584101676941, -0.3822387158870697, 0.42356106638908386, -0.08061275631189346, 0.8026345372200012, 0.41854435205459595, 0.28840675950050354, 1.3145623207092285, 0.7213972210884094, 0.14034625887870789, -0.7934162616729736, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.19027480483055115, -0.40763822197914124, 0.440836638212204, 0.010932398959994316, 0.8729171752929688, 0.5202248096466064, 0.36231809854507446, 1.4425081014633179, 0.799423336982727, 0.1757008284330368, -0.9414082169532776, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.17143698036670685, -0.4175967872142792, 0.38087624311447144, -0.08694161474704742, 0.7704790234565735, 0.36591824889183044, 0.26926231384277344, 1.2828803062438965, 0.7160422801971436, 0.1323123425245285, -0.693068265914917, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.1766510158777237, -0.3981072008609772, 0.4519833028316498, -0.05079013109207153, 0.8418497443199158, 0.4690447747707367, 0.3233691155910492, 1.3593523502349854, 0.7569056749343872, 0.16779473423957825, -0.8853986263275146, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.18329761922359467, -0.4015379548072815, 0.41332951188087463, -0.0994817316532135, 0.80144202709198, 0.3857356309890747, 0.278375506401062, 1.3127565383911133, 0.7251854538917542, 0.12631629407405853, -0.738944947719574, -0.0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.20220693945884705, -0.4040784537792206, 0.3342614471912384, -0.13527603447437286, 0.7967080473899841, 0.38811609148979187, 0.2107509821653366, 1.2589266300201416, 0.7727189660072327, 0.09997379779815674, -0.8119342923164368, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.07906680554151535, -0.4428359866142273, 0.3686806559562683, -0.18341945111751556, 0.995149552822113, 0.3986900746822357, 0.147478848695755, 1.420296549797058, 0.8842604756355286, 0.04511624574661255, -0.9116486310958862, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.19003170728683472, -0.3815349042415619, 0.42182329297065735, -0.0774977058172226, 0.8016072511672974, 0.4187386631965637, 0.2888793349266052, 1.3116341829299927, 0.7214125990867615, 0.14100894331932068, -0.7931309342384338, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.1898934245109558, -0.3818794786930084, 0.4230612814426422, -0.07942182570695877, 0.8022682666778564, 0.41866472363471985, 0.28830578923225403, 1.3136231899261475, 0.7214011549949646, 0.14053931832313538, -0.7934545278549194, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2
3.5
4.5
6.25
-2.5
7
Ses04F_script03_1_M029
Horrible thing. I hated it.
7
neutral
1.25
4,634
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
2
3.5
4.5
[ { "feats": [ -0.1893693208694458, -0.37247219681739807, 0.4173603951931, -0.002310662530362606, 0.8152151703834534, 0.46487289667129517, 0.27156293392181396, 1.3143150806427002, 0.7635159492492676, 0.14058436453342438, -0.8068103194236755, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.08024635910987854, -0.16555100679397583, 0.1490456610918045, -0.08166161179542542, 0.7550124526023865, 0.2372339963912964, 0.07642316818237305, 1.3355185985565186, 0.7785895466804504, -0.11205563694238663, -0.6908649206161499, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.09671051800251007, -0.1315140724182129, 0.14602839946746826, -0.0506678931415081, 0.7468301653862, 0.30386820435523987, 0.054798662662506104, 1.3315839767456055, 0.7821813225746155, -0.11553193628787994, -0.762030303478241, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.09334879368543625, -0.10866156965494156, 0.14237573742866516, -0.1015315055847168, 0.7449812889099121, 0.19209548830986023, 0.03927507996559143, 1.3769744634628296, 0.8199205994606018, -0.09747331589460373, -0.6080214381217957, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.08058974891901016, -0.1454443484544754, 0.15207406878471375, -0.06436941772699356, 0.7458641529083252, 0.26542437076568604, 0.06605533510446548, 1.30646812915802, 0.7610061764717102, -0.1090775728225708, -0.7318300008773804, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.07740584760904312, -0.14586518704891205, 0.14325667917728424, -0.0978991761803627, 0.7549310326576233, 0.21974116563796997, 0.05686161667108536, 1.3659405708312988, 0.7963880300521851, -0.11138255894184113, -0.6532579064369202, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ -0.07597276568412781, -0.2718668580055237, 0.1332831084728241, -0.21064774692058563, 0.8827052116394043, 0.30096542835235596, 0.09711345285177231, 1.4964494705200195, 0.8805673122406006, -0.24081386625766754, -0.8246065974235535, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.039327166974544525, -0.40209871530532837, 0.10377008467912674, -0.27893149852752686, 1.2276018857955933, 0.3126782774925232, 0.1317998617887497, 1.7361812591552734, 0.9856120347976685, -0.18401512503623962, -0.950217604637146, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.08192464709281921, -0.16016380488872528, 0.14904336631298065, -0.0811581164598465, 0.7554012537002563, 0.23730690777301788, 0.0730891153216362, 1.337736964225769, 0.7808770537376404, -0.11099570989608765, -0.6918801665306091, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.081232450902462, -0.16256871819496155, 0.148604154586792, -0.08073625713586807, 0.7543888688087463, 0.23684924840927124, 0.07452484220266342, 1.3355646133422852, 0.7794592380523682, -0.11130037903785706, -0.6912397146224976, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3
5
0
7
Ses04F_script03_1_M030
How long did that row last?
7
neutral
0.075
6,992
0.333333
-0.5
0
1
1
0
0
0
null
3
2
3
3
3
[ { "feats": [ 0.08744969964027405, -0.1080915629863739, 0.15218158066272736, -0.06521879881620407, 0.7131432890892029, 0.2469666451215744, 0.04340008646249771, 1.3347471952438354, 0.7891619205474854, -0.11293969303369522, -0.6952076554298401, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.09784577786922455, -0.16994941234588623, 0.28869402408599854, -0.013056806288659573, 0.7173311114311218, 0.31756702065467834, 0.09644618630409241, 1.2170058488845825, 0.7801170945167542, -0.09726592153310776, -0.7484648823738098, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.08022977411746979, -0.1442963182926178, 0.29105713963508606, -0.00468315277248621, 0.7397607564926147, 0.3629441559314728, 0.12067320197820663, 1.1950610876083374, 0.7869638800621033, -0.12179917097091675, -0.8197113275527954, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.09559569507837296, -0.18075278401374817, 0.3050304353237152, -0.004660253878682852, 0.6941843628883362, 0.2856598496437073, 0.06945621222257614, 1.215883493423462, 0.7716600298881531, -0.09150566160678864, -0.6766381859779358, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.08626711368560791, -0.1566547453403473, 0.29432961344718933, -0.003699510358273983, 0.7452999949455261, 0.3417345881462097, 0.1047217920422554, 1.223719596862793, 0.7889919877052307, -0.11978473514318466, -0.7915201783180237, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.09737468510866165, -0.17840665578842163, 0.3014833331108093, -0.0035811206325888634, 0.7189123630523682, 0.30757877230644226, 0.08117122948169708, 1.2363694906234741, 0.7813097238540649, -0.11187224090099335, -0.710587203502655, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.08720862865447998, -0.18025368452072144, 0.2701318562030792, -0.078866146504879, 0.8648467063903809, 0.34925734996795654, 0.013490754179656506, 1.3028926849365234, 0.8866218328475952, -0.20750197768211365, -0.9367362260818481, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.12847398221492767, -0.1812981218099594, 0.30525997281074524, -0.1003434881567955, 0.9881391525268555, 0.39690351486206055, 0.020092524588108063, 1.3983830213546753, 0.9899516701698303, -0.204769566655159, -1.0327019691467285, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.0945691242814064, -0.16862326860427856, 0.29038605093955994, -0.010709930211305618, 0.7179560661315918, 0.31948554515838623, 0.09433522075414658, 1.2200442552566528, 0.779723584651947, -0.10220671445131302, -0.7461750507354736, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.09657119959592819, -0.16919748485088348, 0.288800448179245, -0.01213170401751995, 0.7172938585281372, 0.3181147873401642, 0.09511122852563858, 1.2180969715118408, 0.7798047065734863, -0.0997876301407814, -0.7474440336227417, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2
3.5
4
6.25
-2.5
7
Ses04F_script03_1_M031
The worst one was in Cannes when your curling irons burnt holes in my dressing gown.
7
neutral
1
996
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
2
3.5
4
[ { "feats": [ 0.07378290593624115, -0.15722212195396423, 0.3515908122062683, 0.001827123574912548, 0.7548608183860779, 0.3521696627140045, 0.09288807958364487, 1.2339776754379272, 0.7924538254737854, -0.12972582876682281, -0.7777963876724243, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.17125627398490906, -0.13317540287971497, 0.12057559192180634, -0.040299732238054276, 0.7114747762680054, 0.31898239254951477, 0.2193097174167633, 1.1979900598526, 0.8114848732948303, -0.09267314523458481, -0.7450723648071289, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.14057636260986328, -0.1572580635547638, 0.12275930494070053, 0.0055229743011295795, 0.7296630144119263, 0.3707839846611023, 0.2452404946088791, 1.2091761827468872, 0.8162263631820679, -0.07798098027706146, -0.8095025420188904, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.155751571059227, -0.16770830750465393, 0.11263542622327805, -0.024226948618888855, 0.752947211265564, 0.3176567554473877, 0.1956825852394104, 1.2620254755020142, 0.8464882373809814, -0.11028153449296951, -0.6786196231842041, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.1565476357936859, -0.13966064155101776, 0.1232074499130249, -0.014983151108026505, 0.718926191329956, 0.3407154381275177, 0.2432638555765152, 1.191826343536377, 0.8138972520828247, -0.07195939123630524, -0.7748490571975708, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.1634509414434433, -0.14044928550720215, 0.12472932040691376, -0.022926587611436844, 0.7458152174949646, 0.330616295337677, 0.20459310710430145, 1.2396080493927002, 0.8468419313430786, -0.11249608546495438, -0.720971405506134, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.08521076291799545, -0.25335773825645447, 0.09450314939022064, -0.12842921912670135, 0.8525492548942566, 0.2898474335670471, 0.13103829324245453, 1.3679349422454834, 0.8682122826576233, -0.09588071703910828, -0.8803789615631104, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.15400077402591705, -0.3306266963481903, 0.14105549454689026, -0.15715160965919495, 0.9557085633277893, 0.31236615777015686, 0.11113091558218002, 1.474671483039856, 0.9253823161125183, -0.08136635273694992, -0.9337148070335388, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.16638141870498657, -0.12975075840950012, 0.1171036958694458, -0.032736532390117645, 0.7147470712661743, 0.3242153823375702, 0.21749742329120636, 1.202927827835083, 0.8171252608299255, -0.09389898180961609, -0.7460007071495056, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.16915711760520935, -0.13187849521636963, 0.11871898919343948, -0.03593657910823822, 0.7132797837257385, 0.3212660551071167, 0.2184154987335205, 1.200266718864441, 0.8147485256195068, -0.09269087761640549, -0.7455766201019287, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
3.5
5
0
7
Ses04F_script03_2_M000
As a matter of fact, the real cause of that row was Peter Burden.
7
neutral
0.125
960
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
3.5
[ { "feats": [ 0.0976749137043953, -0.1406242549419403, 0.15000127255916595, 0.02210726961493492, 0.7688862681388855, 0.38155239820480347, 0.2644284665584564, 1.2400200366973877, 0.8665502071380615, -0.13387325406074524, -0.7974900603294373, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.012512576766312122, -0.24305127561092377, 0.2806478440761566, -0.1520533561706543, 0.8584116101264954, 0.34959876537323, 0.11564582586288452, 1.246861219406128, 0.9218060970306396, 0.0031874077394604683, -0.7047343850135803, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.015498120337724686, -0.2041538804769516, 0.3173552453517914, -0.1512661874294281, 0.8910074234008789, 0.42074015736579895, 0.15148891508579254, 1.282053828239441, 0.8804222345352173, 0.04339829459786415, -0.6906511783599854, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.07262920588254929, -0.24151428043842316, 0.2749558985233307, -0.15460801124572754, 0.833281397819519, 0.3220548629760742, 0.13509079813957214, 1.213890552520752, 0.9022027850151062, 0.021681612357497215, -0.5893270373344421, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.003101634792983532, -0.22879602015018463, 0.28989264369010925, -0.14756865799427032, 0.8643996715545654, 0.37569794058799744, 0.12920713424682617, 1.2313356399536133, 0.9175837635993958, 0.017152348533272743, -0.7057618498802185, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.03352894261479378, -0.24897801876068115, 0.291958749294281, -0.15148501098155975, 0.8470306396484375, 0.33023637533187866, 0.12059026211500168, 1.2497702836990356, 0.911222517490387, 0.024839162826538086, -0.6457241177558899, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.019196251407265663, -0.4250958561897278, 0.24461854994297028, -0.30978772044181824, 1.1792187690734863, 0.4428943693637848, 0.10755187273025513, 1.5147219896316528, 1.1794004440307617, -0.07347837090492249, -0.876433253288269, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ 0.2286209911108017, -0.21260662376880646, 0.3909042179584503, -0.2630939483642578, 1.4170554876327515, 0.6213051080703735, 0.27853575348854065, 1.8195488452911377, 1.1611770391464233, -0.08750580251216888, -1.2443864345550537, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.027123233303427696, -0.2405063509941101, 0.29003626108169556, -0.14853793382644653, 0.8717664480209351, 0.35796019434928894, 0.12622351944446564, 1.2763787508010864, 0.9216078519821167, 0.009519130922853947, -0.6835290193557739, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.020808421075344086, -0.240484818816185, 0.2832129895687103, -0.15127120912075043, 0.8580790162086487, 0.3529815971851349, 0.11956128478050232, 1.2513611316680908, 0.9219746589660645, 0.006037670653313398, -0.6950798630714417, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
3
2.5
5
0
7
Ses04F_script03_2_M010
I'll have some myself, I think.
7
neutral
0.125
961
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
3
2.5
[ { "feats": [ -0.11229890584945679, -0.23495963215827942, 0.29946765303611755, -0.12536482512950897, 0.8612640500068665, 0.3560432493686676, 0.17750170826911926, 1.2484623193740845, 0.8903011679649353, 0.0055625224485993385, -0.6129119396209717, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.14861926436424255, -0.10684201121330261, 0.14951491355895996, -0.07980620861053467, 0.6858172416687012, 0.2900737226009369, 0.1777356117963791, 1.1998730897903442, 0.9081751108169556, -0.11098475009202957, -0.6816691160202026, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.1299995332956314, -0.09800542145967484, 0.15543228387832642, -0.07872933149337769, 0.6547906994819641, 0.3317287862300873, 0.2065991759300232, 1.1701713800430298, 0.9045811295509338, -0.10662426054477692, -0.7121046781539917, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.12517455220222473, -0.12392259389162064, 0.1231585294008255, -0.057100676000118256, 0.6520448923110962, 0.252096951007843, 0.21475522220134735, 1.1754353046417236, 0.8946236371994019, -0.1229170486330986, -0.6227579712867737, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.14473284780979156, -0.09359464794397354, 0.15549126267433167, -0.07500828057527542, 0.6747833490371704, 0.30700722336769104, 0.18609151244163513, 1.1685067415237427, 0.9095867872238159, -0.1224898025393486, -0.7045487761497498, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.13183413445949554, -0.1044696643948555, 0.13519975543022156, -0.06703098863363266, 0.6726886034011841, 0.2712216079235077, 0.19335684180259705, 1.1753815412521362, 0.904970109462738, -0.12689834833145142, -0.6577342748641968, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.11871004849672318, -0.11236493289470673, 0.12737418711185455, -0.1313769519329071, 0.8415607810020447, 0.30395904183387756, 0.07131967693567276, 1.3435217142105103, 1.0380144119262695, -0.1616411954164505, -0.9524391889572144, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.20816504955291748, -0.15820364654064178, 0.2320699542760849, -0.17979851365089417, 0.9934682846069336, 0.35152900218963623, 0.03724423795938492, 1.5806317329406738, 1.122853398323059, -0.1474415510892868, -1.010264277458191, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.1454722285270691, -0.10425996780395508, 0.1474912464618683, -0.07744249701499939, 0.6847590208053589, 0.2935843765735626, 0.17801153659820557, 1.1969419717788696, 0.9100428223609924, -0.11412718892097473, -0.6790982484817505, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.1471753567457199, -0.10561397671699524, 0.14790566265583038, -0.07828319072723389, 0.6842866539955139, 0.2910797595977783, 0.17824342846870422, 1.1962064504623413, 0.9086709022521973, -0.11193660646677017, -0.6806667447090149, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
7
Ses04F_script03_2_M024
Did you see much of Peter Burden after our divorce?
7
neutral
0.25
4,801
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
3
3.5
[ { "feats": [ 0.09554003179073334, -0.07707898318767548, 0.14580205082893372, -0.06845621764659882, 0.6707834601402283, 0.3198082745075226, 0.21078628301620483, 1.1366393566131592, 0.9143925309181213, -0.1712103635072708, -0.6858340501785278, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.21766138076782227, -0.15910685062408447, 0.22982044517993927, -0.021054193377494812, 0.7987656593322754, 0.4219975173473358, -0.00023544445866718888, 1.4484472274780273, 0.9281831383705139, -0.011546285822987556, -0.513477742671966...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.16799978911876678, -0.1118869036436081, 0.21887025237083435, -0.006956447381526232, 0.8293743133544922, 0.4978266656398773, 0.014418506994843483, 1.378382921218872, 0.9241870641708374, 0.014187520369887352, -0.6013811230659485, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.1759994626045227, -0.16375766694545746, 0.2213049829006195, -0.025105556473135948, 0.757591962814331, 0.3569899797439575, -0.04413732886314392, 1.412121295928955, 0.961186408996582, -0.03377874568104744, -0.36729758977890015, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.1996920257806778, -0.1412113457918167, 0.24128395318984985, -0.012362401001155376, 0.7993871569633484, 0.44472429156303406, 0.013907159678637981, 1.362779974937439, 0.9173188805580139, -0.005351121071726084, -0.5799068808555603, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.20840372145175934, -0.17212338745594025, 0.24629242718219757, -0.008212640881538391, 0.7931773662567139, 0.4006965458393097, -0.026332052424550056, 1.4537817239761353, 0.9533693194389343, -0.02101547084748745, -0.43634936213493347,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.05774461850523949, -0.16908667981624603, 0.18574267625808716, -0.09252003580331802, 0.9815362095832825, 0.4254438281059265, -0.03460816666483879, 1.5225372314453125, 1.0576010942459106, -0.05948757380247116, -0.7403128743171692, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.1808439940214157, -0.18578825891017914, 0.24908840656280518, -0.2004401981830597, 1.2550855875015259, 0.5306495428085327, 0.06480846554040909, 1.763115406036377, 1.2206603288650513, -0.14683054387569427, -1.0159366130828857, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.21448801457881927, -0.1594579964876175, 0.22918231785297394, -0.019433578476309776, 0.7976340055465698, 0.42173531651496887, -0.0007085591205395758, 1.4473282098770142, 0.9289211630821228, -0.012080666609108448, -0.51176917552948, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.2166651487350464, -0.15877670049667358, 0.22884739935398102, -0.02024199068546295, 0.7981201410293579, 0.4216904044151306, -0.0004389240057207644, 1.4476535320281982, 0.9280358552932739, -0.011652461253106594, -0.5127654075622559, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3
3
3
5
0
2
Ses01M_impro07_F033
You're like the rookie? The new kid.
2
happy
1.475
948
0.55286
-0.333333
0
0.471405
0
0
0
null
null
4
3
3
3
3
[ { "feats": [ 0.11335335671901703, -0.11576246470212936, 0.19714491069316864, 0.05131828412413597, 0.6817406415939331, 0.37215763330459595, -0.009014972485601902, 1.195327639579773, 0.8753610849380493, -0.014027731493115425, -0.5306780338287354, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.10268046706914902, -0.08978687226772308, 0.3087773025035858, -0.1702183485031128, 0.8776751756668091, 0.4645792543888092, 0.1596415936946869, 1.517533302307129, 0.9493115544319153, -0.06460504233837128, -0.7159307599067688, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.06690555065870285, -0.09539780765771866, 0.28264620900154114, -0.13304898142814636, 0.8703106641769409, 0.4604588747024536, 0.14839504659175873, 1.509714961051941, 0.9087896943092346, -0.0629701018333435, -0.7388020157814026, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.07092811167240143, -0.09775762259960175, 0.3362368643283844, -0.15820561349391937, 0.9271495938301086, 0.4350597560405731, 0.14372792840003967, 1.5800542831420898, 0.9595341086387634, -0.07280261814594269, -0.6542664170265198, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.09265754371881485, -0.093229740858078, 0.2933596968650818, -0.1558506041765213, 0.8774072527885437, 0.4643087685108185, 0.15783989429473877, 1.5039680004119873, 0.9338667392730713, -0.06513050943613052, -0.746039628982544, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.07984043657779694, -0.09734521806240082, 0.33248162269592285, -0.16670480370521545, 0.9119890332221985, 0.45167276263237, 0.15893597900867462, 1.5586093664169312, 0.9643222689628601, -0.07452743500471115, -0.6810455918312073, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.04082125797867775, -0.09395095705986023, 0.2801182270050049, -0.13018150627613068, 0.8172906041145325, 0.40806445479393005, 0.12006808817386627, 1.4375555515289307, 0.9000173807144165, -0.04526178166270256, -0.7151801586151123, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.06272483617067337, -0.11255104839801788, 0.3034726083278656, -0.14378082752227783, 0.8893677592277527, 0.42540228366851807, 0.11956638097763062, 1.5436421632766724, 0.9184237718582153, -0.05611803010106087, -0.7638521790504456, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.10229160636663437, -0.08975975960493088, 0.3086680769920349, -0.16997729241847992, 0.8778254389762878, 0.4645555913448334, 0.15953275561332703, 1.5175931453704834, 0.9492466449737549, -0.06462695449590683, -0.7157206535339355, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.10251139849424362, -0.08987518399953842, 0.3086788058280945, -0.17007507383823395, 0.8777860403060913, 0.46459850668907166, 0.15954378247261047, 1.5175881385803223, 0.9492279887199402, -0.06466100364923477, -0.7157763838768005, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3.5
3.5
6.25
2.5
2
Ses01M_impro07_F034
Just watch in five years you'll be like on the force. You carry around donuts in your back pocket... [LAUGHTER]
2
happy
0.2
3,157
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3.5
3.5
[ { "feats": [ 0.06822558492422104, -0.09378965944051743, 0.29760974645614624, -0.1279962956905365, 0.8574535250663757, 0.43850240111351013, 0.1465195119380951, 1.4745819568634033, 0.9118624925613403, -0.06135469302535057, -0.691747784614563, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.078070729970932, -0.23712030053138733, 0.2638777494430542, -0.019197726622223854, 0.9495062232017517, 0.4831700026988983, 0.13525255024433136, 1.6790409088134766, 0.9284147024154663, -0.12332164496183395, -0.8876693844795227, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.08234015107154846, -0.15864722430706024, 0.16403603553771973, -0.01114717312157154, 0.9098542928695679, 0.5357397198677063, 0.11210604012012482, 1.5975613594055176, 0.9049649834632874, -0.12424447387456894, -0.8980349898338318, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.05571581423282623, -0.27309077978134155, 0.2498605102300644, -0.010138836689293385, 0.9755346775054932, 0.4475761950016022, 0.11551815271377563, 1.756679654121399, 0.9664899110794067, -0.07408081740140915, -0.7562875747680664, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.050752464681863785, -0.19039461016654968, 0.21855445206165314, -0.03211653605103493, 0.9465302228927612, 0.5384219288825989, 0.14922618865966797, 1.6448408365249634, 0.9054447412490845, -0.12578436732292175, -0.9117921590805054, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.053264569491147995, -0.2545020580291748, 0.2673127055168152, -0.014494271017611027, 0.9652090072631836, 0.4679957330226898, 0.1405579000711441, 1.695650339126587, 0.9440104365348816, -0.10125710815191269, -0.8502664566040039, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.008342454209923744, -0.23614509403705597, 0.24881841242313385, -0.06007890775799751, 0.9999407529830933, 0.4739539623260498, 0.09786437451839447, 1.6798607110977173, 0.9616519212722778, -0.12918347120285034, -0.8954776525497437, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ -0.008691245689988136, -0.20449262857437134, 0.3213028907775879, -0.0787937194108963, 1.074080467224121, 0.47646427154541016, 0.12527690827846527, 1.8209528923034668, 0.9764292240142822, -0.0665561705827713, -0.9389382004737854, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.07745765149593353, -0.23636184632778168, 0.26423051953315735, -0.019320989027619362, 0.9488504528999329, 0.4830761253833771, 0.13459289073944092, 1.679456353187561, 0.9285949468612671, -0.1222364753484726, -0.8858599662780762, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.07784773409366608, -0.2366480827331543, 0.2637830078601837, -0.019213970750570297, 0.9491953253746033, 0.48312562704086304, 0.1351238489151001, 1.6786653995513916, 0.928346574306488, -0.12282166630029678, -0.8868908286094666, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
2
5
2.5
1
Ses01M_impro07_M006
I don't know. I should ask. Yeah, I will.
1
happy
0.875
7,183
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
4
3
2
[ { "feats": [ 0.04302467778325081, -0.2223758101463318, 0.23941205441951752, -0.002225147094577551, 0.9280358552932739, 0.46219661831855774, 0.09071578830480576, 1.6630394458770752, 0.9137457013130188, -0.0931217297911644, -0.8446217775344849, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }