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
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.11715807020664215, -0.17567569017410278, 0.2174711972475052, -0.04825067147612572, 0.5932194590568542, 0.4296554625034332, 0.15677481889724731, 1.0166970491409302, 0.6563820242881775, 0.026144156232476234, -0.9403347969055176, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.11831215023994446, -0.15885040163993835, 0.22205868363380432, -0.01483759842813015, 0.630137026309967, 0.4606388211250305, 0.16686667501926422, 1.0642013549804688, 0.6719949841499329, 0.03223502263426781, -0.994228720664978, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.1019444689154625, -0.18337132036685944, 0.22388680279254913, -0.03408241271972656, 0.5878592133522034, 0.39869996905326843, 0.12329380959272385, 1.0236568450927734, 0.6688887476921082, 0.01202020701020956, -0.8573151230812073, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.12745626270771027, -0.1642042100429535, 0.2076103687286377, -0.035151250660419464, 0.5998238325119019, 0.4417835474014282, 0.1577971875667572, 1.0136196613311768, 0.6609010100364685, 0.026075290516018867, -0.9630680680274963, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.10990016162395477, -0.17427730560302734, 0.21576929092407227, -0.0458424910902977, 0.5864378213882446, 0.4132888615131378, 0.13674390316009521, 1.0014654397964478, 0.6608335971832275, 0.019991746172308922, -0.8980139493942261, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.08667775243520737, -0.15199871361255646, 0.19268128275871277, -0.03283044323325157, 0.7576741576194763, 0.40281984210014343, 0.09871331602334976, 1.163572907447815, 0.7291037440299988, -0.012375948950648308, -1.051952838897705, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.11862089484930038, -0.17912009358406067, 0.19916985929012299, -0.043343685567379, 0.9002267122268677, 0.44566938281059265, 0.10824084281921387, 1.3388731479644775, 0.7813631296157837, 0.014227434992790222, -1.1356879472732544, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.11599112302064896, -0.17519420385360718, 0.21789927780628204, -0.04693581908941269, 0.5919365286827087, 0.42943206429481506, 0.1561312973499298, 1.0153485536575317, 0.6561263799667358, 0.026211364194750786, -0.9379275441169739, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.11658111959695816, -0.17540812492370605, 0.21751929819583893, -0.047639522701501846, 0.5925026535987854, 0.42952418327331543, 0.15654543042182922, 1.0158629417419434, 0.6560928225517273, 0.026283973827958107, -0.9392422437667847, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M020
Let's see, uh, I took a shower and, um, you were watching the news and you said the "the Grunions are running tonight," and I said "okay great, let's go."
1
neutral
0.175
8,034
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.08101240545511246, -0.15401309728622437, 0.2137356698513031, -0.017215872183442116, 0.6020628809928894, 0.42592495679855347, 0.11580170691013336, 1.0026241540908813, 0.6749643683433533, 0.0026041537057608366, -0.9300947189331055, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.1887361705303192, -0.18854200839996338, 0.19662116467952728, -0.11198575794696808, 0.8025341629981995, 0.4441918432712555, 0.15264518558979034, 1.1137361526489258, 0.7991403937339783, 0.05019301548600197, -0.9230146408081055, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.1427365094423294, -0.16323062777519226, 0.198433056473732, -0.07096400111913681, 0.7951729893684387, 0.46122339367866516, 0.16387805342674255, 1.0790379047393799, 0.7873734831809998, 0.0578751303255558, -0.9874657988548279, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.1840021163225174, -0.1613350212574005, 0.19198988378047943, -0.10665511339902878, 0.7916449308395386, 0.4013560116291046, 0.12343230098485947, 1.0967295169830322, 0.8165686726570129, 0.06163695082068443, -0.8134199976921082, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.16966772079467773, -0.182311549782753, 0.1921340972185135, -0.09783973544836044, 0.8010398745536804, 0.4512573480606079, 0.166564479470253, 1.087783932685852, 0.7888960242271423, 0.06333283334970474, -0.9584354162216187, 0.00...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.18976344168186188, -0.17983530461788177, 0.1995568722486496, -0.11872971057891846, 0.8043132424354553, 0.4334610104560852, 0.15373648703098297, 1.0960431098937988, 0.814328670501709, 0.07038126140832901, -0.8807862401008606, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.19320914149284363, -0.24176067113876343, 0.19479840993881226, -0.09900066256523132, 0.9138863682746887, 0.41727662086486816, 0.10588975250720978, 1.2253053188323975, 0.8701621294021606, 0.11468874663114548, -1.0691790580749512, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.2103760540485382, -0.24059346318244934, 0.21418064832687378, -0.07800545543432236, 1.0259877443313599, 0.4340764880180359, 0.09725146740674973, 1.3460795879364014, 0.925093412399292, 0.1546497941017151, -1.1478689908981323, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.18794389069080353, -0.1877945214509964, 0.19568456709384918, -0.11109109222888947, 0.8009928464889526, 0.44370362162590027, 0.15180951356887817, 1.1116005182266235, 0.7985257506370544, 0.04985895752906799, -0.9206709265708923, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.1880398392677307, -0.18813349306583405, 0.1961740106344223, -0.11157206445932388, 0.8018612861633301, 0.4441061019897461, 0.1521310657262802, 1.112668514251709, 0.7989737391471863, 0.049835994839668274, -0.9219469428062439, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_script02_2_M021
So I'm putting the animals out we're getting the car to the garage and--
1
neutral
0.175
8,033
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
2.5
2.5
2.5
[ { "feats": [ 0.14683294296264648, -0.15339817106723785, 0.19730935990810394, -0.04154633730649948, 0.786701500415802, 0.41779452562332153, 0.11983516812324524, 1.0623517036437988, 0.7901808023452759, 0.04706360399723053, -0.9338651895523071, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.02501692995429039, -0.08207692950963974, 0.12823772430419922, 0.08353959023952484, 0.7704214453697205, 0.4102633595466614, 0.18069231510162354, 1.1995396614074707, 0.8284550309181213, -0.029244599863886833, -1.1564909219741821, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ 0.008997440338134766, -0.0806160569190979, 0.10827117413282394, 0.08731698244810104, 0.8666293621063232, 0.44487372040748596, 0.180225670337677, 1.2464045286178589, 0.8524181246757507, -0.036291494965553284, -1.2276133298873901, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.056882403790950775, -0.11701948195695877, 0.1381925642490387, 0.09837576001882553, 0.7949298024177551, 0.3723684549331665, 0.14762035012245178, 1.2097773551940918, 0.8608338236808777, -0.036477211862802505, -1.0682508945465088, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.0009368168539367616, -0.08462589979171753, 0.12251634150743484, 0.08098997175693512, 0.8150601387023926, 0.43426069617271423, 0.1840074360370636, 1.2159154415130615, 0.8381564021110535, -0.04581542685627937, -1.1992452144622803, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.03073795512318611, -0.0875939130783081, 0.12920457124710083, 0.08902174234390259, 0.7945191860198975, 0.39266860485076904, 0.17305631935596466, 1.2213785648345947, 0.8482134938240051, -0.022389672696590424, -1.1235322952270508, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ 0.10454605519771576, -0.3321395218372345, 0.1326356828212738, -0.05535135045647621, 1.213430404663086, 0.4129122793674469, 0.2853999137878418, 1.7430078983306885, 1.034735083580017, 0.1257094293832779, -1.4968416690826416, -0.1...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ 0.07733188569545746, -0.13294464349746704, 0.1740603893995285, -0.1459730714559555, 1.4468326568603516, 0.600628674030304, 0.5139459371566772, 2.0539402961730957, 1.0986045598983765, -0.04676387831568718, -1.7194126844406128, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.026284489780664444, -0.08202090114355087, 0.12815693020820618, 0.08359823375940323, 0.7727699279785156, 0.4122236371040344, 0.17799976468086243, 1.1973997354507446, 0.8301880359649658, -0.03272710740566254, -1.156788945198059, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.025505824014544487, -0.08033522218465805, 0.127614825963974, 0.08563433587551117, 0.7728784680366516, 0.4104546010494232, 0.17986850440502167, 1.2005112171173096, 0.8306162357330322, -0.030034778639674187, -1.1553821563720703, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
3
2.5
5
1.25
1
Ses01M_script02_2_M022
Wait a minute, I've got it.
1
neutral
0.25
9,087
0.285714
-0.5
0
0.5
1
0.5
0
0
0
3
2
3.5
3
2.5
[ { "feats": [ -0.006843222305178642, -0.1378895342350006, 0.1299867182970047, 0.0778985470533371, 0.8158957362174988, 0.3930130898952484, 0.157949298620224, 1.1849485635757446, 0.8286064267158508, -0.041390128433704376, -1.1566218137741089, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.11180582642555237, -0.15113362669944763, 0.17531289160251617, -0.05535202845931053, 0.641577422618866, 0.38830557465553284, 0.09110355377197266, 1.1065430641174316, 0.7259324789047241, 0.03342032432556152, -0.8872178792953491, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.11482115089893341, -0.12249381095170975, 0.1845364272594452, -0.016740527004003525, 0.6845162510871887, 0.4141033887863159, 0.08948379009962082, 1.1446532011032104, 0.7443093061447144, 0.05050981789827347, -0.9622565507888794, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.10579700767993927, -0.17744752764701843, 0.17126530408859253, -0.05742090940475464, 0.6356217265129089, 0.3475145101547241, 0.07063066214323044, 1.1092439889907837, 0.7313703298568726, 0.021574031561613083, -0.8059661984443665, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.11796365678310394, -0.1410471498966217, 0.17645198106765747, -0.044626835733652115, 0.6557550430297852, 0.4058370292186737, 0.09969828277826309, 1.109447717666626, 0.7309956550598145, 0.0392654724419117, -0.9263705611228943, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.1179233118891716, -0.16267266869544983, 0.17336125671863556, -0.05231409892439842, 0.6391983032226562, 0.37110960483551025, 0.08552484214305878, 1.1108911037445068, 0.7280484437942505, 0.028862781822681427, -0.8518544435501099, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.12429606169462204, -0.24050632119178772, 0.1724063754081726, -0.07243736833333969, 0.8538069725036621, 0.3976631164550781, 0.016543515026569366, 1.351814866065979, 0.8135585784912109, -0.00014009251026436687, -1.038681983947754, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.13800528645515442, -0.24494902789592743, 0.25549349188804626, -0.12174342572689056, 1.0945279598236084, 0.470685213804245, 0.04240584000945091, 1.6568490266799927, 0.9176080226898193, -0.03625968098640442, -1.1707559823989868, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.11211392283439636, -0.15115304291248322, 0.17545786499977112, -0.05392409861087799, 0.6423643231391907, 0.38876426219940186, 0.09138991683721542, 1.1051567792892456, 0.7262392640113831, 0.03325848653912544, -0.8879690170288086, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.11171384155750275, -0.15044483542442322, 0.1747167408466339, -0.054884470999240875, 0.6415087580680847, 0.3882233500480652, 0.09091170877218246, 1.1053965091705322, 0.7260589599609375, 0.03325491026043892, -0.8872963190078735, ...
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
1
Ses01M_script02_2_M023
It was when we were driving passed that knickerbocker liquor locker and you would said, no you said "let's get some champagne" and I said "no time to wasting" or something like that. That's what it is, right?
1
neutral
0.125
5,702
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
2
2.5
[ { "feats": [ 0.10343264788389206, -0.1627901941537857, 0.1556340605020523, -0.02323123998939991, 0.6568041443824768, 0.3835239112377167, 0.07940871268510818, 1.0910993814468384, 0.7370004653930664, 0.031244823709130287, -0.899290144443512, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1118420735001564, -0.15848253667354584, 0.142661452293396, 0.015077653340995312, 0.8709233999252319, 0.5036081075668335, 0.2731543779373169, 1.1876555681228638, 0.7828412652015686, -0.07500728219747543, -1.2258116006851196, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.08398693799972534, -0.17554815113544464, 0.1698574423789978, -0.030705630779266357, 1.0144964456558228, 0.5228077173233032, 0.2656159996986389, 1.3338408470153809, 0.8186637163162231, -0.03913232311606407, -1.3421368598937988, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.10181204974651337, -0.16339892148971558, 0.15294086933135986, 0.028078164905309677, 0.932517409324646, 0.5228578448295593, 0.24530918896198273, 1.2753969430923462, 0.8512646555900574, -0.06937722861766815, -1.1951055526733398, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.10879715532064438, -0.1489536613225937, 0.1456078439950943, 0.010433802381157875, 0.9055765867233276, 0.5157350301742554, 0.26877954602241516, 1.2196044921875, 0.7854496240615845, -0.0687699168920517, -1.281697392463684, -0.0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.11844092607498169, -0.14843244850635529, 0.13813520967960358, 0.02069622091948986, 0.8676689267158508, 0.49322861433029175, 0.24585387110710144, 1.181746006011963, 0.7984201908111572, -0.07305307686328888, -1.2010804414749146, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.18034778535366058, -0.2244289666414261, 0.10797987133264542, -0.08504685759544373, 1.4282399415969849, 0.6450931429862976, 0.28034478425979614, 1.8376659154891968, 1.0097118616104126, -0.06450942158699036, -1.6305631399154663, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1362307369709015, -0.210155189037323, 0.23925399780273438, -0.13749581575393677, 1.8256827592849731, 0.7462738752365112, 0.4387773275375366, 2.1233482360839844, 1.1018637418746948, -0.09049908071756363, -2.0380427837371826, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.10980750620365143, -0.1597072184085846, 0.14419175684452057, 0.013853044249117374, 0.8743728399276733, 0.5058075189590454, 0.2712678015232086, 1.1903855800628662, 0.7842885851860046, -0.07682450115680695, -1.2274773120880127, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.11062255501747131, -0.1590801626443863, 0.14147931337356567, 0.01604776456952095, 0.8751186728477478, 0.5039018392562866, 0.2724817395210266, 1.1915119886398315, 0.7849730253219604, -0.07446330785751343, -1.226654291152954, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M025
Oh right sure, of course.
1
neutral
0.525
1,015
0.55
-0.5
0
0
0
0.5
null
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1237058937549591, -0.19239462912082672, 0.1358182430267334, -0.02455833926796913, 0.9461886882781982, 0.4908424913883209, 0.20619632303714752, 1.2490813732147217, 0.7804878950119019, -0.017394591122865677, -1.279237985610962, ...
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
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ 0.0010342129971832037, -0.13101300597190857, 0.2771477699279785, -0.12397628277540207, 0.927384614944458, 0.4035957157611847, 0.14656969904899597, 1.1575965881347656, 0.9812177419662476, -0.14012737572193146, -1.1979649066925049, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ -0.01922057941555977, -0.11826672405004501, 0.26190268993377686, -0.14159804582595825, 0.9935473203659058, 0.3984767496585846, 0.08400366455316544, 1.2286354303359985, 0.9992451071739197, -0.15250800549983978, -1.2248610258102417, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ -0.08098860830068588, -0.12928736209869385, 0.3061213493347168, -0.1345011442899704, 0.9759052991867065, 0.37697550654411316, 0.07905367016792297, 1.2044681310653687, 1.035933256149292, -0.1463116705417633, -1.1277943849563599, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ 0.002024764893576503, -0.13534016907215118, 0.2638925313949585, -0.1316990852355957, 0.9582701325416565, 0.40668028593063354, 0.1489843875169754, 1.174587607383728, 0.9897889494895935, -0.1293937712907791, -1.229383111000061, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ -0.028812505304813385, -0.14109669625759125, 0.28321218490600586, -0.11558885872364044, 0.9430842399597168, 0.38866937160491943, 0.12480093538761139, 1.143966555595398, 0.9968143701553345, -0.14671140909194946, -1.1794325113296509, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ 0.05771666392683983, -0.3389970362186432, 0.15680326521396637, -0.25248801708221436, 1.2833435535430908, 0.37352272868156433, 0.08253489434719086, 1.5378806591033936, 1.125274896621704, 0.06885111331939697, -1.3668475151062012, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ 0.13358886539936066, -0.2858167886734009, 0.1545635163784027, -0.27546975016593933, 1.4276320934295654, 0.4440647065639496, 0.13280029594898224, 1.624123215675354, 1.1951271295547485, 0.074397012591362, -1.5433229207992554, -0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ -0.001970350742340088, -0.13166843354701996, 0.2780340909957886, -0.12532579898834229, 0.928257405757904, 0.4042295515537262, 0.1464010626077652, 1.1590813398361206, 0.9823849201202393, -0.14283517003059387, -1.1958249807357788, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ -0.000600227271206677, -0.13132725656032562, 0.2773941457271576, -0.12471118569374084, 0.9282325506210327, 0.40336132049560547, 0.14683715999126434, 1.1575349569320679, 0.9819912314414978, -0.14043624699115753, -1.1974493265151978, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2
3.75
0
1
Ses01M_script02_2_M027
You want me to go get some champagne?
1
neutral
0.2
1,082
0.55
-0.5
0
0
0.5
0
null
0
null
3
2
3
2.5
2
[ { "feats": [ -0.06337413936853409, -0.11510442942380905, 0.26679500937461853, -0.15548954904079437, 0.9474741220474243, 0.3897792398929596, 0.08071901649236679, 1.140068531036377, 0.970352828502655, -0.12876592576503754, -1.2062664031982422, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.17678740620613098, -0.11893978714942932, 0.12625917792320251, -0.15083497762680054, 0.8075249791145325, 0.40911751985549927, 0.18533606827259064, 1.1898818016052246, 0.9677056074142456, 0.06757184863090515, -1.1085748672485352, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1545969843864441, -0.11287935078144073, 0.09552092850208282, -0.1454516053199768, 0.8806113004684448, 0.4464224874973297, 0.16260945796966553, 1.2407039403915405, 0.9732483625411987, 0.07235760241746902, -1.1698154211044312, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1919504851102829, -0.16297703981399536, 0.11636337637901306, -0.150726318359375, 0.8548052906990051, 0.39434877038002014, 0.1701829880475998, 1.2767608165740967, 1.0246222019195557, 0.06492714583873749, -1.0660971403121948, 0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1809663325548172, -0.10051451623439789, 0.10382023453712463, -0.14171215891838074, 0.8240574598312378, 0.42525601387023926, 0.2000046819448471, 1.1799999475479126, 0.9478450417518616, 0.06468793004751205, -1.155396580696106, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1913784146308899, -0.14160670340061188, 0.12151801586151123, -0.16061154007911682, 0.8266793489456177, 0.4076857566833496, 0.18976539373397827, 1.2338483333587646, 0.9872467517852783, 0.07369261234998703, -1.0953431129455566, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.12792235612869263, -0.2851516604423523, 0.19166775047779083, -0.2490043044090271, 1.1575517654418945, 0.5296762585639954, 0.1901738941669464, 1.5076239109039307, 1.1448708772659302, 0.12657220661640167, -1.419680118560791, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.2254864126443863, -0.28920066356658936, 0.27549949288368225, -0.23192614316940308, 1.3939787149429321, 0.6119345426559448, 0.30660030245780945, 1.7418879270553589, 1.2126411199569702, 0.11129327863454819, -1.520378589630127, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1778833419084549, -0.11984778940677643, 0.12495613098144531, -0.1524854451417923, 0.8115766048431396, 0.40990978479385376, 0.183320552110672, 1.1929821968078613, 0.97110915184021, 0.06320929527282715, -1.1078810691833496, 0.0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1752139776945114, -0.118155837059021, 0.125172957777977, -0.14980022609233856, 0.8073172569274902, 0.40911558270454407, 0.18490654230117798, 1.188988208770752, 0.9682307839393616, 0.06828545033931732, -1.1077008247375488, 0.0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
1.5
2.5
0
1
Ses01M_script02_2_M028
Do you want to take off our shoes?
1
neutral
0.525
6,298
0.375
-0.5
0
1
0
0.5
0
null
0
3
2
3
2
1.5
[ { "feats": [ 0.1325736790895462, -0.09005855768918991, 0.12344904989004135, -0.15881329774856567, 0.8409810066223145, 0.39417579770088196, 0.16479118168354034, 1.1758073568344116, 0.9521129131317139, 0.06602777540683746, -1.1251860857009888, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.02231881208717823, -0.025412563234567642, 0.12289080768823624, -0.0059553468599915504, 1.1231220960617065, 0.6235580444335938, 0.22623185813426971, 1.4645761251449585, 0.907841145992279, -0.09563615173101425, -1.5184855461120605, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.0772642120718956, -0.037150777876377106, 0.10975100845098495, -0.0004709092027042061, 1.2896919250488281, 0.7018947005271912, 0.23694473505020142, 1.6478404998779297, 0.9214035272598267, -0.0984065979719162, -1.6065893173217773, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.05314776301383972, -0.06872456520795822, 0.1220194399356842, -0.057693757116794586, 1.2361408472061157, 0.6220313310623169, 0.19796158373355865, 1.5805017948150635, 1.0306756496429443, -0.10868165642023087, -1.4814703464508057, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.008614945225417614, -0.01832186058163643, 0.13125933706760406, -0.007735478691756725, 1.1648801565170288, 0.6612638831138611, 0.23828721046447754, 1.5119140148162842, 0.8989489078521729, -0.09415336698293686, -1.5582494735717773, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.05078534409403801, -0.03199903294444084, 0.11103974282741547, -0.03360745683312416, 1.1507433652877808, 0.6198526620864868, 0.21787823736667633, 1.5078881978988647, 0.933020830154419, -0.08448172360658646, -1.4668463468551636, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.10928883403539658, -0.21683335304260254, 0.06685513257980347, -0.1352669596672058, 1.8902393579483032, 0.7824410200119019, 0.3365319073200226, 2.234783887863159, 1.144429087638855, 0.11220484972000122, -2.2444708347320557, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ 0.18903543055057526, -0.08447578549385071, 0.20313994586467743, -0.22939704358577728, 2.054572105407715, 0.910398542881012, 0.39006373286247253, 2.368027925491333, 1.1936241388320923, -0.0021038989070802927, -2.490669012069702, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.021896230056881905, -0.028026219457387924, 0.1208992451429367, -0.009632684290409088, 1.1242337226867676, 0.6222706437110901, 0.22086472809314728, 1.464957594871521, 0.9089983105659485, -0.09931138157844543, -1.509451985359192, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.02592044323682785, -0.027561591938138008, 0.12096811085939407, -0.005085705779492855, 1.1268327236175537, 0.6241382360458374, 0.22660669684410095, 1.4675590991973877, 0.9087916612625122, -0.09505755454301834, -1.5203958749771118, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2
2.5
-1.25
1
Ses01M_script02_2_M029
What? Huh?
1
neutral
0.4
6,297
0.375
-0.5
0
0.5
0
1
0
null
0
3
2
2.5
2
2
[ { "feats": [ -0.005094024818390608, -0.05680836737155914, 0.1222904622554779, 0.00875821616500616, 1.1582456827163696, 0.6179853081703186, 0.17389839887619019, 1.5877685546875, 0.8378441333770752, -0.039951976388692856, -1.4982576370239258, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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baseline
baseline
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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speed_0.9
speed_perturbation
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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speed_1.1
speed_perturbation
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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speed_0.95
speed_perturbation
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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speed_1.05
speed_perturbation
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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light_noise
gaussian_noise
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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medium_noise
gaussian_noise
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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volume_down
volume_scale
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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volume_up
volume_scale
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0
2.5
2
1.5
2.5
-1.25
1
Ses01M_script02_2_M030
You want to get married again?
1
neutral
0.65
4,924
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
2.5
2
1.5
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low_pass
low_pass_filter
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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baseline
baseline
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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speed_0.9
speed_perturbation
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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speed_1.1
speed_perturbation
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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speed_0.95
speed_perturbation
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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speed_1.05
speed_perturbation
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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light_noise
gaussian_noise
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
[ { "feats": [ 0.2465333491563797, -0.3372483551502228, 0.18290549516677856, -0.24377870559692383, 1.267459750175476, 0.46732762455940247, 0.31633663177490234, 1.5761399269104004, 1.0816264152526855, 0.03128144145011902, -1.1767562627792358, ...
medium_noise
gaussian_noise
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
[ { "feats": [ -0.1388482302427292, -0.24120941758155823, 0.16890545189380646, 0.04107706993818283, 0.8574649691581726, 0.32288023829460144, 0.08472956717014313, 1.3311394453048706, 0.9307901263237, -0.1822228580713272, -0.7689865231513977, 0...
volume_down
volume_scale
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
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volume_up
volume_scale
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0
2
2
2
2.5
-2.5
1
Ses01M_script02_2_M039
Yeah, it is.
1
neutral
0.775
6,930
0.333333
-0.5
0
1
0
1
0
null
0
3
2
2
2
2
[ { "feats": [ -0.11965957283973694, -0.22836969792842865, 0.22941873967647552, 0.027393223717808723, 0.9449747204780579, 0.3215385675430298, 0.12966126203536987, 1.314886450767517, 0.9403987526893616, -0.18711228668689728, -0.8373627662658691, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }