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
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.16757909953594208, -0.2331279218196869, 0.15271763503551483, -0.20997031033039093, 0.6883673667907715, 0.320421427488327, 0.17887206375598907, 1.3802663087844849, 0.7726500034332275, -0.002837818581610918, -0.6220693588256836, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.1437707096338272, -0.19566555321216583, 0.130304217338562, -0.17253491282463074, 0.6902236938476562, 0.3670959174633026, 0.18005934357643127, 1.341769814491272, 0.7637589573860168, 0.004290575627237558, -0.6603270173072815, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.15285798907279968, -0.25241249799728394, 0.15155582129955292, -0.21586237847805023, 0.6746116876602173, 0.2781410217285156, 0.16776125133037567, 1.367830514907837, 0.7669463753700256, 0.0031882745679467916, -0.5519980192184448, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.16646023094654083, -0.20674097537994385, 0.13427746295928955, -0.1933910846710205, 0.6884108781814575, 0.3389752507209778, 0.1863841861486435, 1.3420401811599731, 0.7527644634246826, -0.003075802233070135, -0.6419765949249268, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.16139261424541473, -0.23812703788280487, 0.15225045382976532, -0.20956973731517792, 0.6720033884048462, 0.2986319959163666, 0.18273675441741943, 1.3532015085220337, 0.7587782740592957, -0.001014095265418291, -0.5919144749641418, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.13314415514469147, -0.28955015540122986, 0.13987378776073456, -0.2045920044183731, 0.7893339395523071, 0.3515033721923828, 0.13210880756378174, 1.5763567686080933, 0.852312445640564, -0.01062075700610876, -0.6742218732833862, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.12214351445436478, -0.3056546151638031, 0.2277902364730835, -0.21920214593410492, 0.9433414340019226, 0.3634845018386841, 0.13172020018100739, 1.7469685077667236, 0.9477197527885437, -0.016782468184828758, -0.7691109776496887, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.1668509840965271, -0.23323526978492737, 0.15210480988025665, -0.20972898602485657, 0.6879959106445312, 0.3201989233493805, 0.17835171520709991, 1.3783543109893799, 0.7723829746246338, -0.0019710527267307043, -0.6203070878982544, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.16716471314430237, -0.23301272094249725, 0.1521349847316742, -0.2096206694841385, 0.6881842017173767, 0.32018929719924927, 0.17876581847667694, 1.3789225816726685, 0.7725420594215393, -0.002271959325298667, -0.6213367581367493, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3.6667
3.6667
2.6667
6.66675
1.66675
9
Ses05M_impro03_M030
Oh, yeah, yeah, yeah, yeah I mean, actually we lived together awhile back when we -- Yeah, back in college for a little while. yeah.
9
happy
0.519399
7,162
0.327556
-0.5
0
0.471405
0.471405
0.471405
0
0
0
3
3
3.6667
3.6667
2.6667
[ { "feats": [ 0.14858168363571167, -0.22986526787281036, 0.12307090312242508, -0.16667869687080383, 0.6669507026672363, 0.3117145001888275, 0.16451464593410492, 1.2968473434448242, 0.7510486841201782, 0.0042066858150064945, -0.6215693950653076, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.19116981327533722, -0.29273203015327454, 0.08123192191123962, -0.10950969904661179, 0.6486276388168335, 0.1999046504497528, -0.015359912998974323, 1.376666784286499, 0.7143367528915405, 0.07467221468687057, -0.5572835206985474, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.2012740671634674, -0.2549920082092285, 0.06353794038295746, -0.08114636689424515, 0.6686357855796814, 0.23535552620887756, -0.016651442274451256, 1.360329031944275, 0.7293549180030823, 0.06455540657043457, -0.6383041143417358, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.14841528236865997, -0.28749632835388184, 0.057755667716264725, -0.0911157876253128, 0.6318590044975281, 0.16287727653980255, -0.05063110962510109, 1.3822011947631836, 0.7124463319778442, 0.08992260694503784, -0.4952932596206665, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.18981164693832397, -0.2804417908191681, 0.07248608767986298, -0.09508295357227325, 0.6484044790267944, 0.2050696164369583, -0.0032450270373374224, 1.3451522588729858, 0.7111239433288574, 0.08635713160037994, -0.588946521282196, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.1764829158782959, -0.2962168753147125, 0.07107704132795334, -0.11664406955242157, 0.6479204893112183, 0.17438603937625885, -0.027761241421103477, 1.384947419166565, 0.7144564390182495, 0.0755617693066597, -0.5233829617500305, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.12403052300214767, -0.30434778332710266, 0.0998150035738945, -0.14663296937942505, 0.7675140500068665, 0.2248675376176834, -0.08487283438444138, 1.5300074815750122, 0.818459689617157, 0.015513070859014988, -0.6455528140068054, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.15994510054588318, -0.35938864946365356, 0.18889673054218292, -0.1839120090007782, 0.9500917196273804, 0.25082704424858093, -0.05896919593214989, 1.7533259391784668, 0.9879347085952759, -0.08801480382680893, -0.7667495608329773, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.1915886551141739, -0.29151472449302673, 0.08128104358911514, -0.10891937464475632, 0.6491968035697937, 0.20017258822917938, -0.016965413466095924, 1.3784077167510986, 0.7150384187698364, 0.07480542361736298, -0.5571072697639465, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.1914217323064804, -0.2919278144836426, 0.08118801563978195, -0.10928508639335632, 0.6488450169563293, 0.2001444548368454, -0.016001101583242416, 1.3766344785690308, 0.7148062586784363, 0.0748189315199852, -0.557545006275177, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3.6667
2.6667
6.66675
2.5
9
Ses05M_impro03_M031
But that- so we are really used to each other. We took the time apart and now we're going to get back together. We're going to move in soon.
9
happy
0.297204
3,263
0.421433
-0.5
0
0
0.471405
0.471405
null
0
0
3
3
4
3.6667
2.6667
[ { "feats": [ 0.1767890751361847, -0.280008465051651, 0.06845603883266449, -0.08433569222688675, 0.6569660305976868, 0.2071329951286316, -0.031997598707675934, 1.328589677810669, 0.7145443558692932, 0.07158412784337997, -0.5739416480064392, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.11627748608589172, -0.3084087073802948, 0.1725432127714157, -0.05398738384246826, 0.9948318600654602, 0.6138723492622375, 0.20207436382770538, 1.3463598489761353, 0.8870493769645691, -0.11009475588798523, -1.1080127954483032, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.08428356051445007, -0.3410140872001648, 0.17129574716091156, -0.09108801186084747, 0.9882304668426514, 0.638032078742981, 0.22205495834350586, 1.370490550994873, 0.8473844528198242, -0.07969200611114502, -1.123534917831421, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.10468479990959167, -0.3590856194496155, 0.1591000109910965, -0.05368911847472191, 1.060855507850647, 0.5899049639701843, 0.1759878396987915, 1.4690784215927124, 0.9134246706962585, -0.15802130103111267, -0.972942054271698, 0....
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.09046420454978943, -0.3213840126991272, 0.1923157125711441, -0.043702851980924606, 0.9819310903549194, 0.6362113356590271, 0.2269187569618225, 1.3427791595458984, 0.8806843757629395, -0.09460584074258804, -1.1201961040496826, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.10592138767242432, -0.31376469135284424, 0.17962273955345154, -0.06431026011705399, 1.0124167203903198, 0.6000199317932129, 0.19594742357730865, 1.3799340724945068, 0.8969693779945374, -0.11830491572618484, -1.0312858819961548, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.1665440946817398, -0.3287715017795563, 0.11776760220527649, -0.1838589459657669, 1.1556875705718994, 0.44951486587524414, 0.20498663187026978, 1.2751768827438354, 0.8528451919555664, -0.028291502967476845, -1.482068657875061, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.15889982879161835, -0.23675958812236786, 0.16201362013816833, -0.2181720733642578, 1.2259036302566528, 0.45868954062461853, 0.20598609745502472, 1.2678591012954712, 0.8653519749641418, -0.04206986352801323, -1.6275296211242676, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.11522705107927322, -0.30980199575424194, 0.1694376915693283, -0.0516832172870636, 0.9936575889587402, 0.6123997569084167, 0.2026495784521103, 1.3448090553283691, 0.8861446380615234, -0.111540287733078, -1.1061934232711792, 0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.11537490040063858, -0.3088250458240509, 0.17185068130493164, -0.053767453879117966, 0.9958502650260925, 0.6139836311340332, 0.20141714811325073, 1.3473466634750366, 0.8873360753059387, -0.11027536541223526, -1.1079620122909546, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.3333
3.6667
3
6.66675
3.33325
9
Ses05M_impro03_M032
it's great. I'm a lucky man.
9
happy
0.097221
8,534
0.302907
-0.5
0
0.471405
0.471405
0.816497
0
0
0
3
3
4.3333
3.6667
3
[ { "feats": [ 0.08188385516405106, -0.31691277027130127, 0.15117892622947693, -0.017030591145157814, 1.0124112367630005, 0.6094029545783997, 0.19887614250183105, 1.3527770042419434, 0.8901769518852234, -0.15861041843891144, -1.0700675249099731, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.15585778653621674, -0.33908993005752563, 0.14558681845664978, -0.14926715195178986, 0.8717471957206726, 0.58192378282547, 0.282828688621521, 1.380860686302185, 0.8542560935020447, -0.047597549855709076, -0.8752782344818115, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.11984599381685257, -0.33908072113990784, 0.16068312525749207, -0.0779011994600296, 0.9249323010444641, 0.6613740921020508, 0.3225097060203552, 1.4982762336730957, 0.8937602043151855, -0.03274405747652054, -0.9537649750709534, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.1526610255241394, -0.33912643790245056, 0.11789622902870178, -0.012184330262243748, 0.8173319101333618, 0.5524885654449463, 0.2819008231163025, 1.3799525499343872, 0.8845681548118591, -0.05268559977412224, -0.787567138671875, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.14603975415229797, -0.35459280014038086, 0.1488928496837616, -0.14970842003822327, 0.9020871520042419, 0.6194037795066833, 0.29782456159591675, 1.4399131536483765, 0.8498402833938599, -0.023954540491104126, -0.8965587615966797, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.1449243277311325, -0.3446921110153198, 0.13969583809375763, -0.10293704271316528, 0.8375293016433716, 0.566787600517273, 0.2886642813682556, 1.3580423593521118, 0.8655310869216919, -0.04331740364432335, -0.8368421792984009, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.2453068047761917, -0.23404403030872345, 0.057434991002082825, -0.20199908316135406, 1.3660271167755127, 0.7471019625663757, 0.48587852716445923, 2.0362539291381836, 1.1121569871902466, 0.14154864847660065, -1.3848798274993896, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.35715171694755554, -0.15381139516830444, 0.12180197983980179, -0.21544227004051208, 1.5764883756637573, 0.7641810774803162, 0.5074799060821533, 2.029834270477295, 1.2007406949996948, 0.141697958111763, -1.6390694379806519, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.15614113211631775, -0.33969974517822266, 0.14554929733276367, -0.14501222968101501, 0.8715724349021912, 0.5830422043800354, 0.28415074944496155, 1.3853806257247925, 0.8565346002578735, -0.04492339864373207, -0.8728249073028564, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.15494658052921295, -0.338011234998703, 0.14533530175685883, -0.14664490520954132, 0.8703635334968567, 0.5813313722610474, 0.28250500559806824, 1.3798651695251465, 0.8546741604804993, -0.04660586640238762, -0.8739176392555237, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.6667
3.3333
3
5.83325
4.16675
9
Ses05M_impro03_M033
Thank you.
9
happy
0.183347
6,604
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
4.6667
3.3333
3
[ { "feats": [ 0.13188710808753967, -0.2900868356227875, 0.12982526421546936, -0.05348704382777214, 0.8616122603416443, 0.5976330637931824, 0.2440079301595688, 1.365774393081665, 0.8519018292427063, -0.04434337466955185, -0.8725194931030273, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.06941399723291397, -0.17068065702915192, 0.15250219404697418, -0.030191978439688683, 0.8125645518302917, 0.2558831572532654, 0.05091598629951477, 1.481887698173523, 0.9021309614181519, -0.0806223526597023, -0.6197402477264404, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.01785493642091751, -0.14443080127239227, 0.11281789094209671, 0.00010024261428043246, 0.7988969683647156, 0.3032366931438446, 0.08417043834924698, 1.4179747104644775, 0.8570128679275513, -0.05131198838353157, -0.714844286441803, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.033506739884614944, -0.2055000513792038, 0.06460823863744736, -0.005258259363472462, 0.7385616302490234, 0.22771698236465454, 0.02556227706372738, 1.3326469659805298, 0.8914468884468079, -0.13214856386184692, -0.5936063528060913, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.0598142184317112, -0.16450713574886322, 0.16327327489852905, -0.028638673946261406, 0.8259707689285278, 0.2717870771884918, 0.061266858130693436, 1.4914792776107788, 0.8946254253387451, -0.055061984807252884, -0.6750142574310303, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.045480672270059586, -0.18181341886520386, 0.13060817122459412, -0.006616917904466391, 0.7870439291000366, 0.23957213759422302, 0.0501156747341156, 1.446157455444336, 0.9176609516143799, -0.09930796921253204, -0.5990336537361145, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.09583573788404465, -0.04803527891635895, 0.2538659870624542, -0.08520294725894928, 1.0030850172042847, 0.31313151121139526, 0.042989082634449005, 1.473689079284668, 1.1101447343826294, -0.08189938217401505, -0.939408540725708, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.143313929438591, -0.12601488828659058, 0.17871204018592834, -0.24945968389511108, 1.2868314981460571, 0.5310831665992737, 0.2529439926147461, 1.8309651613235474, 1.3416138887405396, -0.06387142837047577, -1.1415016651153564, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.06387893110513687, -0.1645471155643463, 0.14733915030956268, -0.02228531613945961, 0.8138271570205688, 0.2560403645038605, 0.04932326823472977, 1.4827880859375, 0.9053975939750671, -0.08059819787740707, -0.622053325176239, -0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.06680858135223389, -0.16741883754730225, 0.14810071885585785, -0.02681206539273262, 0.8120213150978088, 0.2566235363483429, 0.04989469796419144, 1.480720043182373, 0.9028104543685913, -0.08075455576181412, -0.6203407049179077, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
2
5
2.5
10
Ses05M_impro07_F004
What are you gonna study?
10
happy
0.875
2,343
0.5
-0.5
0
0
0
1
null
null
0
3
2
4
3
2
[ { "feats": [ 0.019329184666275978, -0.11552105844020844, 0.11005015671253204, 0.03999945521354675, 0.7796905040740967, 0.24952055513858795, 0.050794947892427444, 1.350424885749817, 0.8823590278625488, -0.07059391587972641, -0.6807957291603088, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.016639329493045807, -0.32156676054000854, 0.20973879098892212, 0.003660216461867094, 0.8662256002426147, 0.3204003870487213, 0.04957641661167145, 1.373837947845459, 0.9067707657814026, 0.05918676778674126, -0.5047653913497925, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.012233380228281021, -0.2955852746963501, 0.21123892068862915, 0.04811469838023186, 0.875765323638916, 0.3669341504573822, 0.029497448354959488, 1.3641964197158813, 0.8829329609870911, 0.039441321045160294, -0.5378592610359192, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.004316577687859535, -0.3297286331653595, 0.21256083250045776, 0.012242559343576431, 0.8951824307441711, 0.28086283802986145, 0.028593087568879128, 1.4062799215316772, 0.9354922771453857, 0.03403390944004059, -0.44331568479537964, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.02174917235970497, -0.3142573833465576, 0.21256396174430847, 0.034422509372234344, 0.861911416053772, 0.32367071509361267, 0.04927615821361542, 1.3813588619232178, 0.8872768878936768, 0.050856124609708786, -0.5091365575790405, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ -0.006551598198711872, -0.3239046037197113, 0.21060921251773834, 0.005469691473990679, 0.8852970004081726, 0.2978357970714569, 0.03927438333630562, 1.3928889036178589, 0.9190600514411926, 0.03831440955400467, -0.4519940912723541, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ -0.10634110867977142, -0.3832656145095825, 0.21630613505840302, -0.005506754387170076, 0.938349187374115, 0.27763596177101135, -0.06480809301137924, 1.3114104270935059, 0.9994330406188965, 0.060715194791555405, -0.5227311849594116, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.022386960685253143, -0.3338637948036194, 0.30528250336647034, -0.03299397602677345, 1.12203049659729, 0.2862008512020111, -0.12875603139400482, 1.481214165687561, 1.174630045890808, 0.11185663938522339, -0.6859272718429565, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.014799722470343113, -0.32298794388771057, 0.21018032729625702, 0.008786536753177643, 0.8683378100395203, 0.31711485981941223, 0.04341040179133415, 1.376396656036377, 0.904596209526062, 0.05616888403892517, -0.48574334383010864, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.015479023568332195, -0.32175132632255554, 0.2091006338596344, 0.0058456901460886, 0.8666198253631592, 0.3189142048358917, 0.04761706292629242, 1.37425696849823, 0.9052742123603821, 0.05826198682188988, -0.49689874053001404, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F005
Really? Are you doing the M.F.A. program?
10
happy
0.625
5,663
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ -0.02863895148038864, -0.35458996891975403, 0.219629168510437, 0.06100514903664589, 0.867409884929657, 0.32563674449920654, 0.02731352671980858, 1.3098504543304443, 0.9088509678840637, 0.0659739300608635, -0.4613165855407715, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.061835650354623795, -0.19379350543022156, 0.19621813297271729, -0.07324209064245224, 0.8137826323509216, 0.4787966310977936, 0.1754385083913803, 1.6413447856903076, 0.7460423707962036, -0.018133824691176414, -0.7861311435699463, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.05650008097290993, -0.15214931964874268, 0.15081854164600372, -0.02086886204779148, 0.833854615688324, 0.524817943572998, 0.20615717768669128, 1.6613738536834717, 0.7363667488098145, -0.04866009205579758, -0.828304648399353, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.08551638573408127, -0.20738455653190613, 0.12970580160617828, -0.06480377912521362, 0.7991441488265991, 0.4481540024280548, 0.14103293418884277, 1.586944580078125, 0.7719887495040894, -0.05172676593065262, -0.7383468747138977, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.0676848441362381, -0.17239446938037872, 0.17400117218494415, -0.031627945601940155, 0.8070260882377625, 0.4945923984050751, 0.1931690126657486, 1.6470385789871216, 0.7293761968612671, -0.021638035774230957, -0.8119229078292847, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.08781292289495468, -0.20087480545043945, 0.14561019837856293, -0.050958916544914246, 0.7953682541847229, 0.4649505913257599, 0.18048910796642303, 1.61110520362854, 0.75475013256073, -0.032113224267959595, -0.7681959271430969, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.037051502615213394, -0.2096458524465561, 0.21572399139404297, -0.12682239711284637, 1.1083735227584839, 0.5649524927139282, 0.1898619830608368, 1.916616439819336, 0.8638483881950378, -0.115813247859478, -0.9024391174316406, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.10542334616184235, -0.2668685019016266, 0.24741710722446442, -0.2561439275741577, 1.2676986455917358, 0.6392618417739868, 0.25067368149757385, 2.1005961894989014, 0.9653499126434326, -0.15334656834602356, -1.0323010683059692, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.06186145916581154, -0.19169864058494568, 0.1954042613506317, -0.07131101191043854, 0.8144901394844055, 0.47951406240463257, 0.17521247267723083, 1.6429328918457031, 0.7483598589897156, -0.018547290936112404, -0.7862498164176941, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.06168117746710777, -0.19218327105045319, 0.19576269388198853, -0.07220805436372757, 0.8141031265258789, 0.4791184961795807, 0.17511045932769775, 1.6418187618255615, 0.7475606203079224, -0.018681181594729424, -0.7860570549964905, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
2.5
5
2.5
10
Ses05M_impro07_F007
I heard it's so tough to get into.
10
happy
0.625
5,574
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
4
3
2.5
[ { "feats": [ 0.06307131797075272, -0.15936066210269928, 0.14406198263168335, -0.02306511066854, 0.8224774599075317, 0.5034664273262024, 0.1644393503665924, 1.6107969284057617, 0.7737454175949097, -0.03196310997009277, -0.8132145404815674, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.013331166468560696, -0.11745262891054153, 0.21687239408493042, 0.023488111793994904, 0.907193660736084, 0.5365373492240906, -0.0011032195761799812, 1.7196539640426636, 0.9105693697929382, 0.10004949569702148, -1.0041766166687012, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ -0.009389079175889492, -0.09623747318983078, 0.23925434052944183, 0.051464587450027466, 0.9546353816986084, 0.6313011050224304, 0.04629966989159584, 1.8543896675109863, 0.916266143321991, 0.1267959028482437, -1.0719220638275146, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.03354552760720253, -0.17449937760829926, 0.12272464483976364, 0.05588320642709732, 0.8540907502174377, 0.4430356025695801, -0.04474173113703728, 1.6042925119400024, 0.8535844683647156, 0.11041543632745743, -0.9062495231628418, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ -0.01955769769847393, -0.08176735788583755, 0.23137563467025757, 0.01171285379678011, 0.9771414399147034, 0.6064576506614685, 0.006570760160684586, 1.8766083717346191, 0.9299441576004028, 0.14000242948532104, -1.0221285820007324, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.04419679939746857, -0.16178028285503387, 0.14982527494430542, 0.048505380749702454, 0.8572025895118713, 0.48570701479911804, -0.00542098144069314, 1.6385732889175415, 0.8636114597320557, 0.10955765098333359, -0.9491314888000488, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.3151398301124573, -0.17662888765335083, 0.35086962580680847, -0.04413656145334244, 1.42146897315979, 0.6943190097808838, 0.20296883583068848, 1.9979608058929443, 1.1847320795059204, 0.16199813783168793, -1.3190019130706787, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.34358012676239014, -0.25240179896354675, 0.33551132678985596, -0.20594555139541626, 1.5528876781463623, 0.7994086742401123, 0.4054369330406189, 2.1557400226593018, 1.1406667232513428, 0.2541407644748688, -1.5786124467849731, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.017224853858351707, -0.116866335272789, 0.20973177254199982, 0.0317394994199276, 0.9006330966949463, 0.532569944858551, 0.001370101235806942, 1.7142162322998047, 0.9063055515289307, 0.1047024205327034, -1.0032029151916504, 0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.01461142860352993, -0.11805268377065659, 0.21248367428779602, 0.027934035286307335, 0.9062654972076416, 0.5346800684928894, -0.0026351534761488438, 1.7208572626113892, 0.9103063344955444, 0.10133416950702667, -1.000976324081421, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
2.5
2.5
3.75
2.5
10
Ses05M_impro07_F008
That's awesome.
10
happy
1
3,900
0.416667
-0.5
0
0
0.5
0.5
null
0
0
3
2
4
2.5
2.5
[ { "feats": [ 0.029220454394817352, -0.08672483265399933, 0.1436821073293686, 0.0945071429014206, 0.8457098603248596, 0.5124252438545227, 0.0021233875304460526, 1.577907681465149, 0.8515784740447998, 0.09787171334028244, -1.0144047737121582, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.1878490298986435, -0.10808607190847397, 0.22835147380828857, -0.12691068649291992, 0.9054390788078308, 0.45762449502944946, 0.1910058557987213, 1.5389567613601685, 0.8492834568023682, -0.009147743694484234, -0.7383014559745789, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.17832142114639282, -0.08837345987558365, 0.18004916608333588, -0.13505364954471588, 0.9022682905197144, 0.5101240277290344, 0.1836458295583725, 1.4697682857513428, 0.8164112567901611, -0.020229216665029526, -0.7578501105308533, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.17056049406528473, -0.11897792667150497, 0.19524121284484863, -0.11867953836917877, 0.8954822421073914, 0.3982263207435608, 0.16560250520706177, 1.5205130577087402, 0.836193859577179, 0.014183994382619858, -0.6510370969772339, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.18753258883953094, -0.09632104635238647, 0.20576877892017365, -0.13012008368968964, 0.9011666178703308, 0.48407217860221863, 0.19070416688919067, 1.512170672416687, 0.8370547294616699, -0.0173176359385252, -0.7454140186309814, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.18678724765777588, -0.1122133806347847, 0.21692654490470886, -0.12080670148134232, 0.8962180018424988, 0.4230406582355499, 0.17939493060112, 1.5189261436462402, 0.8365480899810791, 0.007192058488726616, -0.6981885433197021, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.15228934586048126, -0.12949635088443756, 0.19022279977798462, -0.1539972424507141, 0.9237398505210876, 0.4301016628742218, 0.16032595932483673, 1.4564154148101807, 0.8359917402267456, -0.009255906566977501, -0.788102388381958, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.17202278971672058, -0.1565278023481369, 0.24138104915618896, -0.15020382404327393, 1.0741773843765259, 0.45379915833473206, 0.1549854427576065, 1.554027795791626, 0.8900300860404968, -0.022284245118498802, -0.945341944694519, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.18823502957820892, -0.11070845276117325, 0.2257803976535797, -0.1279883235692978, 0.9079201817512512, 0.4568503201007843, 0.19087739288806915, 1.5439045429229736, 0.8498972058296204, -0.005816897843033075, -0.7314731478691101, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.1879146248102188, -0.1091044694185257, 0.22649326920509338, -0.12671677768230438, 0.9056557416915894, 0.45708051323890686, 0.19070248305797577, 1.5396000146865845, 0.8489572405815125, -0.008344249799847603, -0.7357137799263, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
2.5
2
3.75
2.5
10
Ses05M_impro07_F013
Um- I'm gonna be studying at U.S.C., too.
10
happy
1.25
5,613
0.375
-0.5
0
0
0.5
1
null
0
0
3
2
4
2.5
2
[ { "feats": [ 0.1817089021205902, -0.13596981763839722, 0.20778916776180267, -0.12977342307567596, 0.9000611901283264, 0.4704990088939667, 0.16887107491493225, 1.4832983016967773, 0.8639298677444458, 0.007516257464885712, -0.7177233695983887, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.02888820506632328, -0.06652647256851196, 0.2865558862686157, -0.05694008618593216, 0.8564684391021729, 0.3043501079082489, 0.07270561158657074, 1.5800728797912598, 1.0083638429641724, -0.08260787278413773, -0.451083242893219, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.031065041199326515, -0.0674547478556633, 0.28367623686790466, -0.05638263002038002, 0.8552765250205994, 0.3775021731853485, 0.0794757604598999, 1.535156488418579, 0.98451828956604, -0.06793238967657089, -0.5121817588806152, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.031144270673394203, -0.07743290066719055, 0.26700690388679504, -0.041764263063669205, 0.8448256850242615, 0.2641248106956482, 0.04681067913770676, 1.6046876907348633, 0.9972180724143982, -0.07182826101779938, -0.37914028763771057, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.020673952996730804, -0.05903531610965729, 0.3015892803668976, -0.06313414126634598, 0.8595243096351624, 0.3363495469093323, 0.07774889469146729, 1.5619326829910278, 1.013132929801941, -0.08089132606983185, -0.4868638813495636, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.01762937195599079, -0.059388112276792526, 0.2762652039527893, -0.06837644428014755, 0.8759970664978027, 0.28489139676094055, 0.06442833691835403, 1.6204088926315308, 1.0130988359451294, -0.07102303951978683, -0.400229275226593, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.013942410238087177, -0.07216494530439377, 0.2887730300426483, -0.11493298411369324, 1.1580828428268433, 0.3752511143684387, 0.09800012409687042, 1.7646487951278687, 1.1211845874786377, -0.1894960105419159, -0.6274659037590027, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.08943995833396912, 0.024262145161628723, 0.4925088584423065, -0.31761085987091064, 1.6552737951278687, 0.8268130421638489, 0.309391051530838, 2.4438095092773438, 1.3362689018249512, -0.23301783204078674, -1.0677719116210938, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.028852222487330437, -0.0670490488409996, 0.286952406167984, -0.05544673278927803, 0.8545116186141968, 0.30385592579841614, 0.07240463048219681, 1.579007625579834, 1.0083158016204834, -0.08203817903995514, -0.4492214322090149, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.029018012806773186, -0.06685211509466171, 0.28536343574523926, -0.05594050511717796, 0.854354977607727, 0.3039701282978058, 0.07276271283626556, 1.5756711959838867, 1.0070515871047974, -0.0820019319653511, -0.4509899318218231, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3.5
2
2.5
2.5
1.25
10
Ses05M_impro07_F023
So when do you know, like, where you're gonna live? and-
10
happy
1.9
3,899
0.416667
-0.5
0
0.5
0
0.5
0
null
0
3
2
3.5
2
2.5
[ { "feats": [ 0.03638521209359169, -0.05095638707280159, 0.2654228210449219, -0.028374910354614258, 0.8205493092536926, 0.2958287000656128, 0.06636843085289001, 1.5048564672470093, 0.9852210283279419, -0.06592801958322525, -0.4737567603588104, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }