label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.09313450753688812, -0.3064565062522888, 0.2585976719856262, -0.05986921116709709, 0.9271584749221802, 0.34184589982032776, 0.09124679118394852, 1.1758770942687988, 0.8403552770614624, -0.18898139894008636, -0.9193077683448792, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.10080002248287201, -0.2642665505409241, 0.2871484160423279, -0.021129097789525986, 0.960634171962738, 0.3738352656364441, 0.053153932094573975, 1.1957539319992065, 0.8530212044715881, -0.14837156236171722, -0.9449630975723267, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.06760692596435547, -0.25027626752853394, 0.2308085709810257, -0.04389555752277374, 0.9329266548156738, 0.2966073155403137, 0.04828747734427452, 1.1894899606704712, 0.8791716694831848, -0.2106558382511139, -0.7968728542327881, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.11192789673805237, -0.2846960425376892, 0.25302770733833313, -0.04061037674546242, 0.9328808188438416, 0.35051724314689636, 0.07592766731977463, 1.1592931747436523, 0.845014214515686, -0.18242931365966797, -0.9544222354888916, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.08138936758041382, -0.27995815873146057, 0.23969583213329315, -0.05959764122962952, 0.9343521595001221, 0.309808611869812, 0.06510287523269653, 1.1728532314300537, 0.8578665852546692, -0.19777517020702362, -0.8572934865951538, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.2328181117773056, -0.28357771039009094, 0.19844157993793488, -0.18571844696998596, 1.1698545217514038, 0.3741756081581116, 0.08118844032287598, 1.3035264015197754, 1.1049836874008179, -0.09074309468269348, -1.1462395191192627, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.41179049015045166, -0.2868507206439972, 0.2103799432516098, -0.2817531228065491, 1.2798057794570923, 0.4157242178916931, 0.03551914170384407, 1.4704158306121826, 1.2222566604614258, -0.027686335146427155, -1.1899744272232056, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.10028187930583954, -0.2806752622127533, 0.25345659255981445, -0.05355987697839737, 0.9216787815093994, 0.3368208408355713, 0.07475484907627106, 1.178425669670105, 0.8486406803131104, -0.19707375764846802, -0.8967984318733215, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ 0.09332777559757233, -0.2940753400325775, 0.25316745042800903, -0.056275222450494766, 0.919775664806366, 0.3379858136177063, 0.08390705287456512, 1.1697663068771362, 0.8417074680328369, -0.19173698127269745, -0.9062946438789368, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
2.5
3
3.75
2.5
9
Ses05F_impro05_M053
You have a wonderful day.
9
neutral
0.5
5,346
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
2.5
3
[ { "feats": [ -0.005023351404815912, -0.20136529207229614, 0.2481679618358612, -0.04890985041856766, 0.9953618049621582, 0.34132373332977295, 0.07666855305433273, 1.179242491722107, 0.858569324016571, -0.1257702112197876, -0.9392082691192627, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ -0.003944347612559795, -0.06670082360506058, 0.041001107543706894, 0.06786084175109863, 0.8892748951911926, 0.49499061703681946, 0.12463251501321793, 1.174058437347412, 0.9689108729362488, -0.14598573744297028, -1.163286805152893, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ -0.058233246207237244, -0.15620532631874084, 0.065147764980793, 0.0796148031949997, 1.0374338626861572, 0.5111908316612244, 0.1487659215927124, 1.2536265850067139, 0.9573171138763428, -0.10171705484390259, -1.1812102794647217, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ -0.04468926042318344, -0.15650297701358795, 0.041549619287252426, 0.08283760398626328, 0.9125607013702393, 0.497254878282547, 0.1312435418367386, 1.2919492721557617, 0.9881988167762756, -0.14589934051036835, -1.0222433805465698, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ 0.004305809736251831, -0.08658289909362793, 0.015359316021203995, 0.07427070289850235, 0.977712094783783, 0.4900180697441101, 0.1435268074274063, 1.186011552810669, 0.9661737084388733, -0.07116696238517761, -1.2031348943710327, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ 0.005895637907087803, -0.11365307122468948, 0.022199930623173714, 0.09033069759607315, 0.9401846528053284, 0.4752715826034546, 0.1224152147769928, 1.265221357345581, 0.9786689877510071, -0.10949961841106415, -1.1050935983657837, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ 0.22930903732776642, -0.40513813495635986, 0.4202353358268738, -0.3496027886867523, 1.7876684665679932, 0.7260035276412964, 0.7748404145240784, 1.8720524311065674, 1.2128448486328125, 0.1679144650697708, -1.8535417318344116, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ 0.21221937239170074, -0.44723716378211975, 0.4356050491333008, -0.48061737418174744, 2.04510498046875, 0.6164326667785645, 0.8798179030418396, 1.8323285579681396, 1.215602993965149, 0.22298970818519592, -2.1419060230255127, 0.2...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ -0.006731554865837097, -0.09605816751718521, 0.03152282536029816, 0.07010644674301147, 0.9615631103515625, 0.4944891929626465, 0.13454890251159668, 1.2427605390548706, 0.9825127720832825, -0.1359243094921112, -1.1255383491516113, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ -0.0302260834723711, -0.08696609735488892, 0.02754659578204155, 0.07895473390817642, 0.894683837890625, 0.4859117269515991, 0.12917903065681458, 1.1739082336425781, 0.9607239961624146, -0.13958269357681274, -1.1434563398361206, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
9
Ses05F_impro06_M013
yeah.
9
neutral
0.25
4,572
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
2.5
[ { "feats": [ -0.014586396515369415, -0.17235831916332245, 0.10222555696964264, 0.08013743907213211, 0.9870927333831787, 0.5188055038452148, 0.09266873449087143, 1.216112494468689, 0.9358486533164978, -0.12497419118881226, -1.2163490056991577, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.10887094587087631, -0.13179226219654083, 0.11971431970596313, -0.007553969044238329, 1.017167568206787, 0.5824838280677795, 0.08614256232976913, 1.1591708660125732, 1.0104191303253174, -0.01213147770613432, -1.2920624017715454, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.09086580574512482, -0.1806996762752533, 0.11504225432872772, -0.010494341142475605, 1.0695513486862183, 0.5552039742469788, 0.11105643212795258, 1.199774980545044, 1.007096529006958, 0.023822516202926636, -1.325087547302246, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ -0.0005632151733152568, -0.1489521563053131, 0.08325323462486267, 0.03947298601269722, 0.940302312374115, 0.44677698612213135, 0.0028661226388067007, 1.1604033708572388, 1.0298411846160889, -0.0020629260689020157, -1.1326537132263184...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.10811222344636917, -0.17136305570602417, 0.0937863290309906, -0.028707372024655342, 1.0559793710708618, 0.5643799901008606, 0.12870916724205017, 1.1773428916931152, 0.9917780756950378, 0.023426158353686333, -1.335384488105774, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.08559013903141022, -0.1591774970293045, 0.10538832098245621, -0.00030481096473522484, 1.000006079673767, 0.5140191912651062, 0.06227143481373787, 1.1345183849334717, 1.0026891231536865, -0.010324571281671524, -1.2444483041763306, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.21269911527633667, -0.37622469663619995, 0.4442759156227112, -0.45182883739471436, 1.964919090270996, 0.6304493546485901, 0.8703606724739075, 1.8453640937805176, 1.172556757926941, 0.21912457048892975, -2.1620163917541504, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.15740405023097992, -0.4273378551006317, 0.4455154240131378, -0.44546735286712646, 2.114989757537842, 0.609419047832489, 0.8960660099983215, 1.8131639957427979, 1.189712405204773, 0.23007260262966156, -2.283468723297119, 0.157...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.0958031490445137, -0.1698511242866516, 0.14184735715389252, -0.017876023426651955, 1.042912483215332, 0.5848198533058167, 0.11062207072973251, 1.172492265701294, 1.0079259872436523, -0.020580189302563667, -1.2869751453399658, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.08126404881477356, -0.09021373093128204, 0.10683717578649521, 0.012151164002716541, 1.0132476091384888, 0.5651140213012695, 0.07389012724161148, 1.168666958808899, 1.0405645370483398, -0.005940253380686045, -1.2737058401107788, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
9
Ses05F_impro06_M019
No problem.
9
neutral
0.125
5,868
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.05568840354681015, -0.22906407713890076, 0.1301746964454651, 0.02325933612883091, 1.0659211874008179, 0.547802746295929, 0.10631279647350311, 1.2359131574630737, 1.0207526683807373, -0.03132219985127449, -1.328769564628601, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.10602450370788574, -0.1720471978187561, 0.14080609381198883, -0.12495137006044388, 0.7023234367370605, 0.46033695340156555, 0.18912804126739502, 1.3175135850906372, 0.7212390899658203, 0.013474363833665848, -0.8806818723678589, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.0741342082619667, -0.14019137620925903, 0.13277117908000946, -0.05804998055100441, 0.7004361152648926, 0.49763405323028564, 0.17476552724838257, 1.2706905603408813, 0.7078706622123718, -0.014754561707377434, -0.9092073440551758, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.10660407692193985, -0.1687382012605667, 0.1298777014017105, -0.12922510504722595, 0.7082823514938354, 0.4412122964859009, 0.19284012913703918, 1.325421690940857, 0.7234610915184021, 0.016759749501943588, -0.8313267827033997, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.09455056488513947, -0.16336140036582947, 0.13839946687221527, -0.09148342162370682, 0.7050420045852661, 0.48001304268836975, 0.18234732747077942, 1.3034964799880981, 0.7162599563598633, -0.003881823504343629, -0.8973847031593323, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.11078526079654694, -0.1770925223827362, 0.13987353444099426, -0.12962959706783295, 0.7069804668426514, 0.45153021812438965, 0.18928547203540802, 1.323365330696106, 0.723395586013794, 0.019131841138005257, -0.8586603403091431, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.0014401184162124991, -0.1911119818687439, 0.11902856081724167, -0.05973104387521744, 0.7863978147506714, 0.4380851984024048, 0.16499397158622742, 1.4037084579467773, 0.770875871181488, -0.01793425902724266, -0.9895989894866943, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.03034311532974243, -0.17404712736606598, 0.16955262422561646, -0.11378457397222519, 0.9465349316596985, 0.5146036148071289, 0.20661255717277527, 1.5978748798370361, 0.8758464455604553, -0.01512423437088728, -1.1071486473083496, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.10390061140060425, -0.16941934823989868, 0.1396220624446869, -0.12245482951402664, 0.70413738489151, 0.4627097249031067, 0.18722404539585114, 1.316646695137024, 0.7213266491889954, 0.01214388944208622, -0.876839816570282, -0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.10484542697668076, -0.17073456943035126, 0.1404213011264801, -0.12420232594013214, 0.7030735611915588, 0.4612545967102051, 0.1879684031009674, 1.3159483671188354, 0.721160352230072, 0.012804720550775528, -0.8788909912109375, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2.5
3.75
0
10
Ses05F_impro08_F016
So in the database, it looks as though um, there is a there is like a glitch in the transaction where it hadn't gone through before, but I do see that you paid the, what can you tell me the amount, what was the amount?
10
neutral
0.05
4,911
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
3
2.5
2.5
[ { "feats": [ 0.03785977140069008, -0.164291113615036, 0.14081025123596191, -0.06279410421848297, 0.7226846814155579, 0.46676164865493774, 0.15155312418937683, 1.2942396402359009, 0.7288899421691895, -0.03321582078933716, -0.8568368554115295, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.1253875494003296, -0.04803775995969772, 0.3580785095691681, 0.10830674320459366, 0.7284706830978394, 0.32700115442276, -0.04333454743027687, 1.2160884141921997, 0.893648624420166, -0.13316291570663452, -0.8142899870872498, 0....
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.16775617003440857, -0.04013980180025101, 0.38376933336257935, 0.17566761374473572, 0.7808851003646851, 0.42091360688209534, -0.037282153964042664, 1.236525535583496, 0.9511200785636902, -0.16139914095401764, -0.9393476843833923, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.14301376044750214, 0.004549950826913118, 0.34635666012763977, 0.18863150477409363, 0.7503687143325806, 0.3069098889827728, -0.05585077777504921, 1.2013269662857056, 0.9294206500053406, -0.146799698472023, -0.8219471573829651, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.1487559825181961, -0.043882664293050766, 0.35679635405540466, 0.12767808139324188, 0.7650768160820007, 0.36090904474258423, -0.05069572851061821, 1.2472225427627563, 0.9367513656616211, -0.1557130217552185, -0.8805779218673706, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.13170337677001953, -0.03194640576839447, 0.3432360887527466, 0.1139879822731018, 0.7280983924865723, 0.31484299898147583, -0.06184595450758934, 1.1960581541061401, 0.898483395576477, -0.15491679310798645, -0.8147073984146118, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.19863080978393555, -0.008637966588139534, 0.4473467767238617, -0.12951844930648804, 1.2139298915863037, 0.4771600663661957, 0.01071199867874384, 1.6093052625656128, 1.1401491165161133, -0.11305457353591919, -1.0930129289627075, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.28052613139152527, -0.08776086568832397, 0.32058870792388916, -0.3836084008216858, 1.7413017749786377, 0.7350012063980103, 0.36903998255729675, 2.0210320949554443, 1.4189109802246094, -0.013508821837604046, -1.6358036994934082, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.12548446655273438, -0.0490553081035614, 0.36048078536987305, 0.11081244796514511, 0.7284088134765625, 0.32907795906066895, -0.040605731308460236, 1.2142657041549683, 0.8968902826309204, -0.13506916165351868, -0.815152645111084, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.12695719301700592, -0.046591490507125854, 0.3548992872238159, 0.1104409396648407, 0.7270724773406982, 0.32629960775375366, -0.043368879705667496, 1.2134321928024292, 0.8918206691741943, -0.13249711692333221, -0.8148324489593506, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2
3.75
0
10
Ses05F_impro08_F028
six four nine four
10
neutral
0.2
2,967
0.45
null
null
0
0.5
1
null
0
0
3
2
3
2.5
2
[ { "feats": [ 0.12088609486818314, -0.008671237155795097, 0.3815208673477173, 0.11719954758882523, 0.697040319442749, 0.33991739153862, -0.026349738240242004, 1.0963120460510254, 0.8945479393005371, -0.15034165978431702, -0.7997586727142334, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.08514025807380676, -0.2719147503376007, 0.23349648714065552, -0.0982898697257042, 0.6203780174255371, 0.3139668107032776, 0.09813448041677475, 1.3935478925704956, 0.7320804595947266, -0.07684904336929321, -0.5244141221046448, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.10637254267930984, -0.2383202612400055, 0.2431919276714325, -0.060223523527383804, 0.6357752084732056, 0.38819560408592224, 0.10729923844337463, 1.3545278310775757, 0.6959501504898071, -0.13858385384082794, -0.576683759689331, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.1160552129149437, -0.3149717450141907, 0.1954638659954071, -0.039923690259456635, 0.6400247812271118, 0.3183164596557617, 0.13273242115974426, 1.386411428451538, 0.7360498309135437, -0.055557675659656525, -0.5067076086997986, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.09913747012615204, -0.2586634159088135, 0.26117926836013794, -0.09744524955749512, 0.6377527713775635, 0.34145525097846985, 0.09820457547903061, 1.3685412406921387, 0.7148005366325378, -0.09410824626684189, -0.5333448648452759, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.09615878760814667, -0.2833845317363739, 0.21721073985099792, -0.07401170581579208, 0.6194726824760437, 0.30534279346466064, 0.12485206872224808, 1.3699232339859009, 0.7171791791915894, -0.05617379769682884, -0.5047988891601562, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.11488303542137146, -0.24281901121139526, 0.15548761188983917, -0.03399454802274704, 0.8470546007156372, 0.4709416329860687, 0.04214891418814659, 1.5905625820159912, 1.0106157064437866, -0.14733852446079254, -0.841501772403717, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ 0.050284117460250854, -0.2685134708881378, 0.26881086826324463, -0.06122836470603943, 1.1617958545684814, 0.6638613343238831, -0.05216575786471367, 1.9034470319747925, 1.3567237854003906, -0.20139926671981812, -1.0194215774536133, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.09272602945566177, -0.2692315876483917, 0.2256845086812973, -0.08857790380716324, 0.6221699714660645, 0.3106805682182312, 0.09931067377328873, 1.3903690576553345, 0.7278649806976318, -0.07962696999311447, -0.5193942785263062, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.09040918201208115, -0.2709374725818634, 0.22770440578460693, -0.09259139746427536, 0.6215006709098816, 0.3125724494457245, 0.09944170713424683, 1.3918745517730713, 0.7294493317604065, -0.07720769941806793, -0.5208848118782043, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2
3.75
-1.25
9
Ses05F_impro08_M019
Yes, yes, exactly.
9
neutral
0.325
9,576
0.269235
-0.333333
0
0.471405
0.816497
0.942809
0
0
0
4
3
2.5
2.5
2
[ { "feats": [ -0.17450089752674103, -0.28652670979499817, 0.2020091414451599, -0.027045903727412224, 0.6471778154373169, 0.37824946641921997, 0.17278525233268738, 1.3633090257644653, 0.7356632351875305, -0.11738191545009613, -0.5558546781539917, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.10932739078998566, -0.17127729952335358, 0.13569952547550201, -0.09050638228654861, 0.7374482154846191, 0.39035436511039734, 0.14780594408512115, 1.2818992137908936, 0.8337074518203735, -0.006951913237571716, -0.7605886459350586, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.06943066418170929, -0.1865958571434021, 0.14532074332237244, -0.034780584275722504, 0.750273585319519, 0.41414931416511536, 0.13968497514724731, 1.2635289430618286, 0.8077991604804993, -0.0201558880507946, -0.7525018453598022, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.05532976612448692, -0.17864029109477997, 0.11995884776115417, -0.09907925873994827, 0.7341243624687195, 0.3247383236885071, 0.13047350943088531, 1.2759783267974854, 0.8495880365371704, 0.005863530095666647, -0.6646283268928528, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.09402818977832794, -0.18973036110401154, 0.14846612513065338, -0.0739746242761612, 0.7412635684013367, 0.3985956311225891, 0.15335598587989807, 1.2822191715240479, 0.8227781057357788, -0.015655409544706345, -0.7612144351005554, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.08739130198955536, -0.1500508189201355, 0.13283348083496094, -0.09708767384290695, 0.7198572158813477, 0.3628087639808655, 0.1361135095357895, 1.258988618850708, 0.8420901298522949, -0.0018803528510034084, -0.6983937621116638, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.06359581649303436, -0.3294863998889923, 0.14915800094604492, -0.15623335540294647, 1.1197432279586792, 0.39022213220596313, 0.26587799191474915, 1.6209988594055176, 0.9943428635597229, 0.07994627207517624, -1.0461034774780273, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.22567075490951538, -0.2345934808254242, 0.2229752242565155, -0.19134314358234406, 1.5561575889587402, 0.6604268550872803, 0.28706926107406616, 2.0998435020446777, 1.1497987508773804, -0.05234291031956673, -1.3049263954162598, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.10458936542272568, -0.16665524244308472, 0.1319933831691742, -0.08711449056863785, 0.7314242720603943, 0.38409242033958435, 0.14013811945915222, 1.2766176462173462, 0.8329004049301147, -0.013909781351685524, -0.7472242116928101, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.10659883916378021, -0.16897046566009521, 0.133867084980011, -0.08845251798629761, 0.733689546585083, 0.3874620497226715, 0.14439314603805542, 1.2762919664382935, 0.8327754735946655, -0.009941873140633106, -0.7538111209869385, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
3
3.75
0
10
Ses05F_script01_1_F017
Well I got an idea. But what's the story?
10
neutral
0
1,397
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
3
[ { "feats": [ 0.009526710025966167, -0.1621239334344864, 0.14918822050094604, -0.021403951570391655, 0.7750858068466187, 0.36616289615631104, 0.13270319998264313, 1.2787622213363647, 0.8648080229759216, -0.011657673865556717, -0.7291504740715027, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.11643607914447784, -0.3512846529483795, 0.18926694989204407, -0.09486911445856094, 0.8142658472061157, 0.3507741689682007, 0.18084728717803955, 1.271399974822998, 0.8909913897514343, -0.08807361871004105, -0.9512725472450256, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.10662520676851273, -0.28426918387413025, 0.19891297817230225, -0.057113636285066605, 0.8504287004470825, 0.4100355803966522, 0.18662457168102264, 1.2785735130310059, 0.9466578364372253, -0.12163347005844116, -1.0290366411209106, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.09707462787628174, -0.3180878460407257, 0.19889985024929047, -0.10950873792171478, 0.7843149900436401, 0.3300909698009491, 0.114191934466362, 1.2545422315597534, 0.905833899974823, -0.1268843561410904, -0.8779248595237732, -0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.09533552825450897, -0.332345187664032, 0.1848420798778534, -0.07505476474761963, 0.8379789590835571, 0.37953469157218933, 0.19520984590053558, 1.282447338104248, 0.917769730091095, -0.09703005105257034, -0.9846950173377991, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.1230471059679985, -0.3578861951828003, 0.19612394273281097, -0.10782498866319656, 0.8040575981140137, 0.34611740708351135, 0.1624799519777298, 1.2601933479309082, 0.9030123353004456, -0.09402371942996979, -0.91978919506073, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.08489487320184708, -0.39285698533058167, 0.2030923217535019, -0.13160806894302368, 1.0138750076293945, 0.3301839232444763, 0.1763007491827011, 1.3822596073150635, 0.9879379868507385, 0.007273732218891382, -1.0730723142623901, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.1632469892501831, -0.34810972213745117, 0.1998893916606903, -0.17559953033924103, 1.110642433166504, 0.34443020820617676, 0.1964503675699234, 1.442017674446106, 1.0491695404052734, 0.022516896948218346, -1.1446150541305542, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.11913631111383438, -0.33958667516708374, 0.1884053647518158, -0.09129855036735535, 0.8035668134689331, 0.3545432686805725, 0.17375238239765167, 1.259984016418457, 0.8935873508453369, -0.09944640845060349, -0.9477729797363281, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.1164684146642685, -0.34599781036376953, 0.18782423436641693, -0.09299151599407196, 0.8080086708068848, 0.3512413799762726, 0.17855237424373627, 1.2637252807617188, 0.8902961611747742, -0.09272480756044388, -0.949006974697113, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
4
3
7.5
-1.25
10
Ses05F_script01_1_F025
Have you asked Annie yet to marry you?
10
neutral
0.8
1,343
0.55
-0.5
0
0.5
0
0
0
null
null
3
2
2.5
4
3
[ { "feats": [ 0.03445935994386673, -0.2341902256011963, 0.24478082358837128, -0.049434345215559006, 0.8023761510848999, 0.4020375907421112, 0.12616829574108124, 1.2449208498001099, 0.9426127076148987, -0.1541818082332611, -0.9959818124771118, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
10
Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.24445556104183197, -0.2749300003051758, 0.1519136130809784, -0.14404134452342987, 0.7162697911262512, 0.35974156856536865, 0.07522346824407578, 1.0770541429519653, 0.8878867626190186, -0.07137341797351837, -0.796606719493866, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3
3.75
-1.25
10
Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
[ { "feats": [ 0.21528351306915283, -0.243968665599823, 0.14701145887374878, -0.10353479534387589, 0.7526677250862122, 0.38108474016189575, 0.07966204732656479, 1.1070507764816284, 0.8653672933578491, -0.09682272374629974, -0.8469800353050232, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
3
3.75
-1.25
10
Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
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null
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2
2.5
2.5
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speed_1.1
speed_perturbation
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3.75
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Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
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3,804
0.416667
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0
0.5
0.5
0
0
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null
3
2
2.5
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speed_0.95
speed_perturbation
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3.75
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Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
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0.5
0.5
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null
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2
2.5
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speed_1.05
speed_perturbation
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3
3.75
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Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
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3,804
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0
0.5
0.5
0
0
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null
3
2
2.5
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light_noise
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2.5
2.5
3
3.75
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Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
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3
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medium_noise
gaussian_noise
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0
2.5
2.5
3
3.75
-1.25
10
Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
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volume_down
volume_scale
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2.5
2.5
3
3.75
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10
Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
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volume_up
volume_scale
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2.5
2.5
3
3.75
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10
Ses05F_script01_2_F001
She's been in New York three and a half years. Why all of the sudden?
10
neutral
0.125
3,804
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
2.5
2.5
3
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low_pass
low_pass_filter
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0
2
1
2.5
0
-2.5
10
Ses05F_script02_1_F005
yes.
10
neutral
1.225
1,194
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
1
2.5
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baseline
baseline
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0
2
1
2.5
0
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10
Ses05F_script02_1_F005
yes.
10
neutral
1.225
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0.55
-0.5
0
0
0
0.5
null
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3
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1
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speed_0.9
speed_perturbation
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0
2
1
2.5
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-2.5
10
Ses05F_script02_1_F005
yes.
10
neutral
1.225
1,194
0.55
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0
0
0
0.5
null
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3
2
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speed_1.1
speed_perturbation
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2
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2.5
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10
Ses05F_script02_1_F005
yes.
10
neutral
1.225
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0.55
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0
0
0
0.5
null
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3
2
2
1
2.5
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speed_0.95
speed_perturbation
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2
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2.5
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10
Ses05F_script02_1_F005
yes.
10
neutral
1.225
1,194
0.55
-0.5
0
0
0
0.5
null
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3
2
2
1
2.5
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speed_1.05
speed_perturbation
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0
2
1
2.5
0
-2.5
10
Ses05F_script02_1_F005
yes.
10
neutral
1.225
1,194
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
2
1
2.5
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light_noise
gaussian_noise
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2
1
2.5
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10
Ses05F_script02_1_F005
yes.
10
neutral
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0
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3
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1
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medium_noise
gaussian_noise
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0
2
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2.5
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10
Ses05F_script02_1_F005
yes.
10
neutral
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0
0
0.5
null
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3
2
2
1
2.5
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volume_down
volume_scale
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2
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2.5
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10
Ses05F_script02_1_F005
yes.
10
neutral
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0
0
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0.5
null
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3
2
2
1
2.5
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volume_up
volume_scale
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0
2
1
2.5
0
-2.5
10
Ses05F_script02_1_F005
yes.
10
neutral
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0
0
0
0.5
null
null
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3
2
2
1
2.5
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low_pass
low_pass_filter
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