Datasets:
cairocode
/
IEMO_Emotion2Vec_Augmented

Dataset card Data Studio Files
xet
 Community
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
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.03491245582699776, 0.0005217492580413818, 0.11022740602493286, 0.03589668869972229, 0.8837649822235107, 0.5088403820991516, 0.23633143305778503, 1.3035404682159424, 1.0359853506088257, -0.0672948807477951, -1.0853700637817383, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.06034337356686592, 0.003899049013853073, 0.1498599499464035, 0.13076236844062805, 1.0027118921279907, 0.5642077326774597, 0.3047066032886505, 1.3325213193893433, 1.0451676845550537, 0.04346965625882149, -1.2050549983978271, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.06870114803314209, -0.08979301899671555, 0.10085178166627884, -0.025935931131243706, 0.920036792755127, 0.4326525330543518, 0.18586547672748566, 1.38522469997406, 1.0646470785140991, -0.08770535886287689, -1.024823784828186, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.02235417440533638, 0.029361233115196228, 0.14543546736240387, 0.08118391782045364, 0.9542352557182312, 0.5655132532119751, 0.29820895195007324, 1.3035781383514404, 1.0538138151168823, -0.009975327178835869, -1.153430700302124, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.06123080477118492, -0.019115235656499863, 0.1225859522819519, 0.019264357164502144, 0.9473307132720947, 0.5047872066497803, 0.24126587808132172, 1.392850637435913, 1.0785789489746094, -0.03239688649773598, -1.0742729902267456, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.17119307816028595, -0.16250748932361603, 0.2954976558685303, -0.1835295855998993, 1.4194869995117188, 0.600939154624939, 0.4719339609146118, 1.7560902833938599, 1.3151843547821045, 0.05166219547390938, -1.4598678350448608, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.2357446551322937, -0.4184664189815521, 0.4332405924797058, -0.3088648021221161, 1.7281242609024048, 0.6305111050605774, 0.7462427616119385, 1.7867391109466553, 1.3053959608078003, 0.20782054960727692, -1.6590795516967773, 0.1...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.03526480123400688, 0.011539846658706665, 0.10354352742433548, 0.0512402169406414, 0.880713701248169, 0.504554033279419, 0.23190827667713165, 1.2980087995529175, 1.0375361442565918, -0.06698496639728546, -1.081478238105774, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ -0.035511597990989685, -0.004805088043212891, 0.11243130266666412, 0.030211806297302246, 0.8883865475654602, 0.5114650130271912, 0.23984339833259583, 1.310495138168335, 1.0376126766204834, -0.06637909263372421, -1.0878533124923706, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01M_impro06_F011
Yeah.
2
neutral
0.25
7,426
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2
2.5
[ { "feats": [ 0.016576332971453667, -0.13522444665431976, 0.17577873170375824, 0.0075142644345760345, 0.9677773714065552, 0.5180807113647461, 0.2416910082101822, 1.3295048475265503, 0.9834132194519043, -0.12280432879924774, -1.2146453857421875, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.027715468779206276, -0.09707356244325638, 0.103036068379879, 0.1864776611328125, 1.0398846864700317, 0.5876129865646362, 0.09213343262672424, 1.6108559370040894, 1.1446819305419922, -0.14253796637058258, -0.9576358795166016, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.08480354398488998, -0.12269943207502365, 0.16926753520965576, 0.2159220427274704, 1.033928632736206, 0.6133587956428528, 0.17461194097995758, 1.5470142364501953, 1.0466620922088623, -0.09422921389341354, -0.9421302080154419, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.024325385689735413, -0.1757269948720932, 0.04344070330262184, 0.23217862844467163, 1.035367488861084, 0.5264068245887756, 0.045548100024461746, 1.613598346710205, 1.092403769493103, -0.18838191032409668, -0.8229511380195618, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.018116414546966553, -0.07949858158826828, 0.1473059356212616, 0.20306743681430817, 1.0736708641052246, 0.6389539837837219, 0.13939867913722992, 1.6274948120117188, 1.1366134881973267, -0.1140148937702179, -0.9800238013267517, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.013402100652456284, -0.1332760602235794, 0.08497252315282822, 0.21043090522289276, 1.0247007608413696, 0.5618517398834229, 0.04037318378686905, 1.5911235809326172, 1.1115236282348633, -0.17231179773807526, -0.8913553953170776, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.08486198633909225, -0.2482137531042099, 0.21180114150047302, -0.1533081829547882, 1.413467288017273, 0.5997165441513062, 0.38270142674446106, 1.7115403413772583, 1.2620103359222412, 0.0647706612944603, -1.30275559425354, 0.01...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.16121982038021088, -0.21872657537460327, 0.19966524839401245, -0.2130381315946579, 1.468178153038025, 0.6001647710800171, 0.48121586441993713, 1.725221872329712, 1.3290249109268188, 0.1309491991996765, -1.3998205661773682, 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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.02609013207256794, -0.10093381255865097, 0.10411199927330017, 0.1906774640083313, 1.0421894788742065, 0.5887455940246582, 0.08959943801164627, 1.613004207611084, 1.1439133882522583, -0.1439218521118164, -0.954122006893158, 0...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.02821534126996994, -0.09633546322584152, 0.10161881893873215, 0.18635721504688263, 1.0403144359588623, 0.586685299873352, 0.09251296520233154, 1.6082468032836914, 1.1442066431045532, -0.1401737481355667, -0.958175003528595, ...
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
2
Ses01M_impro06_F012
Yeah.
2
neutral
0.175
7,427
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.02332909032702446, -0.19488058984279633, 0.14764371514320374, 0.2149171680212021, 1.0299644470214844, 0.5822755098342896, 0.14393295347690582, 1.4986069202423096, 1.0401391983032227, -0.13442812860012054, -0.9535365104675293, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.12590980529785156, -0.07622335106134415, 0.15564870834350586, 0.09314920753240585, 1.1318445205688477, 0.7083970904350281, 0.3538321554660797, 1.3514961004257202, 0.9446198344230652, -0.049820639193058014, -1.5789451599121094, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.12448519468307495, -0.06421217322349548, 0.13198387622833252, 0.15709932148456573, 1.2320609092712402, 0.753943145275116, 0.3775399327278137, 1.399141550064087, 0.9842684864997864, -0.04118550941348076, -1.689454197883606, -0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.09491153061389923, -0.08261408656835556, 0.16750305891036987, 0.12594062089920044, 1.2046760320663452, 0.7083398103713989, 0.3612431287765503, 1.477599859237671, 1.0010892152786255, -0.025074219331145287, -1.533836841583252, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.13682463765144348, -0.07682699710130692, 0.14523236453533173, 0.11554776132106781, 1.2144356966018677, 0.7499351501464844, 0.3891884982585907, 1.3989120721817017, 0.9747793674468994, -0.03696751594543457, -1.6658878326416016, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.12157204747200012, -0.07730511575937271, 0.15660731494426727, 0.10608766973018646, 1.1956310272216797, 0.7116886973381042, 0.3672213852405548, 1.4361587762832642, 0.977477490901947, -0.03242063522338867, -1.5850263833999634, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.1697230488061905, -0.20471006631851196, 0.1814756542444229, -0.24527709186077118, 1.6081111431121826, 0.7201399803161621, 0.39667826890945435, 1.7369511127471924, 1.0682612657546997, 0.06887824088335037, -1.945683240890503, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.10706653445959091, -0.16746537387371063, 0.22187797725200653, -0.24100027978420258, 1.6659646034240723, 0.8806155323982239, 0.4800536632537842, 1.7503538131713867, 1.0635308027267456, -0.0003752566408365965, -2.150860548019409, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.1235511526465416, -0.0753922238945961, 0.15756353735923767, 0.09664618223905563, 1.1408021450042725, 0.7103785276412964, 0.35544461011886597, 1.361067771911621, 0.9495968818664551, -0.05045362561941147, -1.5801836252212524, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.12397754192352295, -0.07627249509096146, 0.15534311532974243, 0.09481969475746155, 1.132296085357666, 0.7081558704376221, 0.3535107970237732, 1.3509389162063599, 0.9462152719497681, -0.05006810650229454, -1.577993631362915, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F013
Totally, yeah.
2
neutral
0.2
3,342
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.1262832134962082, -0.09529685974121094, 0.1731812059879303, 0.15186671912670135, 1.2914073467254639, 0.7694970369338989, 0.3621196150779724, 1.5051326751708984, 1.0257725715637207, -0.025377357378602028, -1.6966469287872314, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.06957326829433441, -0.30617377161979675, 0.09467429667711258, 0.2444854974746704, 1.230366587638855, 0.6631896495819092, 0.11658462882041931, 1.3652771711349487, 1.1584101915359497, -0.17041431367397308, -1.1019481420516968, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.0914887860417366, -0.25950920581817627, 0.10899297147989273, 0.20926791429519653, 1.1293240785598755, 0.49841272830963135, 0.17468717694282532, 1.268250823020935, 1.0506212711334229, -0.04117674380540848, -1.1651108264923096, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.04022447392344475, -0.3277736008167267, 0.06568078696727753, 0.3036501705646515, 1.3113619089126587, 0.6497572660446167, 0.15357810258865356, 1.4887261390686035, 1.1598483324050903, -0.22837258875370026, -0.9040650129318237, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.09334336966276169, -0.2510916292667389, 0.13108691573143005, 0.1856304556131363, 1.181469202041626, 0.5893138647079468, 0.13403719663619995, 1.2868973016738892, 1.1085928678512573, -0.09366787225008011, -1.1866683959960938, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.05531487986445427, -0.3405371308326721, 0.09891146421432495, 0.2768564224243164, 1.2965435981750488, 0.6719830632209778, 0.16807053983211517, 1.432253122329712, 1.1714719533920288, -0.20301103591918945, -1.0169278383255005, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.12848211824893951, -0.37273451685905457, 0.21400140225887299, 0.006653034593909979, 1.2726408243179321, 0.4770713150501251, 0.3714406490325928, 1.5197222232818604, 1.0655076503753662, 0.1361849009990692, -1.237161636352539, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.1727391481399536, -0.5063438415527344, 0.3140895962715149, -0.16291272640228271, 1.3960260152816772, 0.44314828515052795, 0.5745505094528198, 1.5889711380004883, 1.0892581939697266, 0.3557448387145996, -1.3906699419021606, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.0683826208114624, -0.31162670254707336, 0.09432529658079147, 0.24452733993530273, 1.230949878692627, 0.6595942974090576, 0.11508625745773315, 1.3632276058197021, 1.1551971435546875, -0.1720333993434906, -1.0968778133392334, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.06840282678604126, -0.30727091431617737, 0.09319383651018143, 0.24553899466991425, 1.2296847105026245, 0.6609832644462585, 0.11586574465036392, 1.3631428480148315, 1.1572309732437134, -0.1695738285779953, -1.0997024774551392, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F014
Mmhmm.
2
neutral
0.05
3,165
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.04739408567547798, -0.3014300465583801, 0.09093095362186432, 0.2987555265426636, 1.2441415786743164, 0.6248145699501038, 0.16307593882083893, 1.3842718601226807, 1.0893940925598145, -0.0995999351143837, -1.0669399499893188, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.13662458956241608, -0.20533043146133423, 0.2926914095878601, -0.057068031281232834, 1.013574481010437, 0.5275296568870544, 0.07285691797733307, 1.300075650215149, 1.0785901546478271, -0.2320764809846878, -1.151114821434021, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.15171733498573303, -0.12432742863893509, 0.27862370014190674, -0.06321054697036743, 0.9530459046363831, 0.4883628487586975, 0.1469726264476776, 1.1675853729248047, 0.9943880438804626, -0.2073146402835846, -1.1475886106491089, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.07585913687944412, -0.2551743984222412, 0.20133060216903687, -0.17516358196735382, 1.0841021537780762, 0.5273883938789368, 0.00003642764932010323, 1.4780027866363525, 1.126001238822937, -0.34043312072753906, -1.1579710245132446, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.10365445166826248, -0.16624179482460022, 0.29099446535110474, -0.07386274635791779, 0.9938579797744751, 0.5359758138656616, 0.10876840353012085, 1.2392160892486572, 1.019429087638855, -0.25656747817993164, -1.212048053741455, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.10062069445848465, -0.24903570115566254, 0.2990954518318176, -0.1340121328830719, 1.075148344039917, 0.5376549959182739, 0.04197491705417633, 1.349652886390686, 1.1180272102355957, -0.2857002317905426, -1.181452989578247, 0....
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.20890101790428162, -0.48435598611831665, 0.29588568210601807, -0.3424966037273407, 1.4455279111862183, 0.4840414822101593, 0.2472979873418808, 1.7255585193634033, 1.193386197090149, 0.06022118777036667, -1.2136818170547485, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ 0.23452799022197723, -0.4603566825389862, 0.34410393238067627, -0.3191607594490051, 1.5568495988845825, 0.5608531832695007, 0.284547358751297, 1.722790002822876, 1.261535882949829, 0.08391416817903519, -1.364768624305725, -0.11...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.13714972138404846, -0.20905020833015442, 0.29087018966674805, -0.05715801194310188, 1.0148030519485474, 0.5270102024078369, 0.06686310470104218, 1.294065237045288, 1.0785808563232422, -0.23573455214500427, -1.1492500305175781, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.14060425758361816, -0.20471499860286713, 0.292395681142807, -0.0566290058195591, 1.0156223773956299, 0.5254140496253967, 0.07460212707519531, 1.3027293682098389, 1.0797367095947266, -0.23318131268024445, -1.1482102870941162, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
2.5
3.75
0
2
Ses01M_impro06_F015
Lock
2
neutral
0.05
3,347
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
[ { "feats": [ -0.0901341363787651, -0.22945688664913177, 0.27951282262802124, -0.04534290358424187, 1.166978359222412, 0.518263041973114, 0.14054729044437408, 1.348775863647461, 1.1347649097442627, -0.24567557871341705, -1.203657865524292, 0...
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ -0.02353997342288494, -0.27357017993927, 0.22918547689914703, 0.2207871973514557, 1.3076505661010742, 0.7292048931121826, 0.26564592123031616, 1.5769479274749756, 1.1272425651550293, -0.12916319072246552, -1.3820117712020874, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ -0.01732192374765873, -0.25325918197631836, 0.18882513046264648, 0.20610401034355164, 1.3341578245162964, 0.6804314851760864, 0.4528312385082245, 1.5263230800628662, 1.0851833820343018, -0.09635679423809052, -1.5188020467758179, ...
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ 0.0036400994285941124, -0.2888982594013214, 0.2058398425579071, 0.2886200547218323, 1.3216488361358643, 0.7726871371269226, 0.24566558003425598, 1.5014636516571045, 1.11512291431427, -0.2127966433763504, -1.2209457159042358, 0....
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ -0.002031927928328514, -0.23458455502986908, 0.2277720719575882, 0.2166752815246582, 1.3202646970748901, 0.7194247841835022, 0.359242707490921, 1.5457209348678589, 1.0939018726348877, -0.10523393005132675, -1.4682965278625488, ...
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ 0.0001552601606817916, -0.28746214509010315, 0.21769504249095917, 0.2677762508392334, 1.3203860521316528, 0.7750052213668823, 0.24155747890472412, 1.5326374769210815, 1.129679799079895, -0.20942126214504242, -1.3060543537139893, ...
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ 0.10009332746267319, -0.1361389458179474, 0.19342748820781708, -0.053008392453193665, 1.5341315269470215, 0.5653855204582214, 0.46953085064888, 1.7284507751464844, 1.066455364227295, 0.3048320412635803, -1.6388033628463745, -0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ 0.09525301307439804, -0.3290865123271942, 0.3002435266971588, -0.1563878208398819, 1.6186227798461914, 0.6088312864303589, 0.7163826823234558, 1.6576546430587769, 1.120176076889038, 0.33111098408699036, -1.8868988752365112, -0....
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ -0.02514207735657692, -0.2742467522621155, 0.22781062126159668, 0.22550782561302185, 1.3067960739135742, 0.7287606000900269, 0.26707109808921814, 1.5772384405136108, 1.127061367034912, -0.130620539188385, -1.3759745359420776, 0...
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ -0.023950615897774696, -0.27358919382095337, 0.2280951291322708, 0.22194546461105347, 1.3051356077194214, 0.7278348207473755, 0.26551535725593567, 1.5722092390060425, 1.1257041692733765, -0.12855258584022522, -1.3787950277328491, ...
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
2
Ses01M_impro06_F016
Mmhmm.
2
neutral
0.125
829
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
3
2
2.5
[ { "feats": [ -0.04248644411563873, -0.2207089364528656, 0.21314166486263275, 0.2685646414756775, 1.2255383729934692, 0.6568537950515747, 0.30580756068229675, 1.4660252332687378, 1.022261619567871, -0.0789693146944046, -1.327502965927124, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.10372177511453629, -0.06081255525350571, 0.17902010679244995, -0.05339840427041054, 0.8982455730438232, 0.5333281755447388, 0.12925370037555695, 1.2732796669006348, 0.9199820756912231, -0.17903056740760803, -1.0211464166641235, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.10890381038188934, -0.01753944531083107, 0.18552224338054657, -0.07952956110239029, 0.9246459007263184, 0.5778980851173401, 0.1193803995847702, 1.1739609241485596, 0.9059274792671204, -0.1584721952676773, -1.0672587156295776, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.07724280655384064, -0.12397585809230804, 0.175523579120636, -0.05896054953336716, 0.9307022094726562, 0.5077723860740662, 0.10547047853469849, 1.2412261962890625, 0.9692621231079102, -0.2454976588487625, -0.9607319235801697, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.10150475800037384, -0.08061899244785309, 0.17150962352752686, -0.08272504061460495, 0.9084752798080444, 0.5781615972518921, 0.10713386535644531, 1.2028024196624756, 0.8628257513046265, -0.13633465766906738, -1.0211141109466553, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.11191616952419281, -0.09522578865289688, 0.18403930962085724, -0.05754264444112778, 0.928340494632721, 0.5180974006652832, 0.11633902788162231, 1.2418678998947144, 0.9567463397979736, -0.22000721096992493, -1.0125685930252075, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.2107289433479309, -0.1743009388446808, 0.1792696714401245, -0.14708402752876282, 1.3416849374771118, 0.5931187272071838, 0.2158622443675995, 1.6616771221160889, 1.1049373149871826, -0.09320053458213806, -1.2240421772003174, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.19800053536891937, -0.0898561030626297, 0.2585727870464325, -0.1885107159614563, 1.7320469617843628, 0.8070371150970459, 0.38493070006370544, 2.056321620941162, 1.288681149482727, -0.0839131698012352, -1.5050153732299805, 0.1...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.10329847037792206, -0.06172853335738182, 0.1796119660139084, -0.053398486226797104, 0.9019349813461304, 0.5358541011810303, 0.12877257168293, 1.274973750114441, 0.9225583672523499, -0.1793639212846756, -1.0252711772918701, -0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.10159306973218918, -0.06075526773929596, 0.1780829131603241, -0.05292075127363205, 0.8981255292892456, 0.5327941179275513, 0.12933102250099182, 1.2714308500289917, 0.9208253622055054, -0.17962779104709625, -1.0224477052688599, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F017
The plans you make [GARBAGE].
2
neutral
0.2
3,352
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3
[ { "feats": [ 0.09092555195093155, -0.10059570521116257, 0.14741025865077972, -0.07185247540473938, 0.9317278265953064, 0.5550528168678284, 0.09542051702737808, 1.2210170030593872, 0.8607094287872314, -0.15779806673526764, -1.0509132146835327, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.08312159776687622, -0.1266462504863739, 0.1528083235025406, 0.03891792893409729, 0.7182058691978455, 0.3920101225376129, 0.16045249998569489, 1.1397154331207275, 0.8771302700042725, -0.09488924592733383, -0.9544904828071594, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.07001154124736786, -0.09486956894397736, 0.13723109662532806, 0.06947087496519089, 0.7350211143493652, 0.42636072635650635, 0.16419687867164612, 1.0203605890274048, 0.8638028502464294, -0.052761077880859375, -1.0550029277801514, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.059770047664642334, -0.15552650392055511, 0.14599260687828064, 0.025323454290628433, 0.7454144358634949, 0.3645709156990051, 0.1366153359413147, 1.1280004978179932, 0.88680100440979, -0.08579979091882706, -0.9032352566719055, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.09180806577205658, -0.10240230709314346, 0.13725323975086212, 0.037987854331731796, 0.7390366792678833, 0.4110221862792969, 0.17248600721359253, 1.0955897569656372, 0.8610149025917053, -0.08167034387588501, -1.011911153793335, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.07409831881523132, -0.1342071294784546, 0.15166202187538147, 0.027853908017277718, 0.7313181161880493, 0.3860103487968445, 0.1551450937986374, 1.1200453042984009, 0.8871238231658936, -0.09088055789470673, -0.9407627582550049, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.23915955424308777, -0.25822412967681885, 0.25719398260116577, -0.252791166305542, 1.1642913818359375, 0.5919209718704224, 0.13764992356300354, 1.5632039308547974, 1.1364330053329468, -0.04774075001478195, -1.1602985858917236, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.3166230320930481, -0.2731093168258667, 0.3735935389995575, -0.3142767548561096, 1.4042483568191528, 0.7168614864349365, 0.17599308490753174, 1.841805338859558, 1.310315489768982, -0.02913644351065159, -1.230749487876892, -0.0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.08195669949054718, -0.12771651148796082, 0.1532728224992752, 0.03872537612915039, 0.7213572859764099, 0.39328840374946594, 0.16080456972122192, 1.140735149383545, 0.8790429830551147, -0.09772832691669464, -0.9563384652137756, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.08184970915317535, -0.12672001123428345, 0.1522812396287918, 0.03917743265628815, 0.7175089120864868, 0.3914368152618408, 0.15969398617744446, 1.1372159719467163, 0.8770166039466858, -0.09556302428245544, -0.9540109038352966, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
3
5
-1.25
2
Ses01M_impro06_F018
It leaves a hole for you too.
2
neutral
0.2
7,434
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.05989249795675278, -0.09379610419273376, 0.15089164674282074, 0.0524916909635067, 0.710297167301178, 0.38561588525772095, 0.12180288136005402, 1.0478447675704956, 0.8485469818115234, -0.08607273548841476, -0.9803189635276794, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.0749310553073883, -0.12575502693653107, 0.2306230217218399, 0.0044511230662465096, 0.8300752639770508, 0.5033175945281982, 0.07447221875190735, 1.156389832496643, 0.8228350281715393, -0.02126147598028183, -0.9692525863647461, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07722551375627518, -0.13088248670101166, 0.22651319205760956, 0.027010027319192886, 0.8207985162734985, 0.5009282231330872, 0.10588917881250381, 1.0971572399139404, 0.7785820960998535, 0.0290660597383976, -1.0461843013763428, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.0518401563167572, -0.1292138248682022, 0.22093355655670166, 0.015623121522367, 0.8067354559898376, 0.45653316378593445, 0.046597644686698914, 1.1536668539047241, 0.819506824016571, -0.019135070964694023, -0.8772374391555786, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.08536814898252487, -0.1327790468931198, 0.22356830537319183, 0.015384442172944546, 0.8120042085647583, 0.5006996989250183, 0.09717204421758652, 1.107911467552185, 0.7888794541358948, 0.002728065475821495, -0.9990547299385071, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.06562256067991257, -0.1425929069519043, 0.23604443669319153, 0.0069205486215651035, 0.8289767503738403, 0.4837031960487366, 0.06393873691558838, 1.1528507471084595, 0.825386106967926, -0.012317675165832043, -0.9236152172088623, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.24870656430721283, -0.26748329401016235, 0.2504318654537201, -0.14836744964122772, 1.3709100484848022, 0.5562683343887329, 0.1119895726442337, 1.7128324508666992, 1.1446480751037598, 0.06448150426149368, -1.271986484527588, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.2906535267829895, -0.3482607901096344, 0.31686633825302124, -0.20041625201702118, 1.6801940202713013, 0.6691141724586487, 0.16144908964633942, 2.0809264183044434, 1.294144868850708, 0.04803481325507164, -1.4556996822357178, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07463500648736954, -0.1279124915599823, 0.23102116584777832, 0.005159824620932341, 0.8314046263694763, 0.5033165812492371, 0.07496468722820282, 1.1570240259170532, 0.8231236934661865, -0.022254906594753265, -0.9687406420707703, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.07360735535621643, -0.12552116811275482, 0.22919708490371704, 0.00527844438329339, 0.828295111656189, 0.5016968846321106, 0.07400854676961899, 1.1538676023483276, 0.8217517733573914, -0.021274279803037643, -0.9683414697647095, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2.5
3
3.75
0
2
Ses01M_impro06_F019
It leaves a hole for you too, in your plans together.
2
neutral
0
3,168
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
3
[ { "feats": [ 0.10789793729782104, -0.16768021881580353, 0.2223803997039795, 0.035286083817481995, 0.8476017117500305, 0.487112820148468, 0.037868682295084, 1.1620882749557495, 0.8001148104667664, 0.007026494015008211, -0.9861486554145813, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.159542515873909, -0.10964653640985489, 0.11740730702877045, -0.04442213848233223, 1.1205244064331055, 0.5600380301475525, 0.24350756406784058, 1.2200008630752563, 0.9734694957733154, -0.19420225918293, -1.6441441774368286, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.13360843062400818, -0.15173181891441345, 0.09126003086566925, -0.02912607416510582, 1.2325429916381836, 0.5778838396072388, 0.21827895939350128, 1.2363632917404175, 0.9813653230667114, -0.17420509457588196, -1.7834869623184204, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.14588552713394165, -0.14760026335716248, 0.12596696615219116, -0.05591640621423721, 1.1135146617889404, 0.5259898900985718, 0.19421009719371796, 1.2479441165924072, 1.0027520656585693, -0.2089855968952179, -1.51870596408844, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.16492822766304016, -0.12506118416786194, 0.11081381142139435, -0.036147862672805786, 1.1761274337768555, 0.5703648328781128, 0.2432403564453125, 1.2456250190734863, 0.9724351763725281, -0.17998164892196655, -1.6916439533233643, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.16477733850479126, -0.12175215035676956, 0.10347272455692291, -0.04258917272090912, 1.1199933290481567, 0.5310925841331482, 0.2233128845691681, 1.2258834838867188, 0.9872422814369202, -0.19548103213310242, -1.5904805660247803, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.18951515853405, -0.25480154156684875, 0.16551002860069275, -0.34638604521751404, 1.7412693500518799, 0.6485679149627686, 0.2812005877494812, 1.8800002336502075, 1.1870023012161255, 0.07600599527359009, -2.103518486022949, -0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.2145659476518631, -0.11818267405033112, 0.13234944641590118, -0.355556458234787, 1.800728440284729, 0.7811740636825562, 0.33541250228881836, 1.9236211776733398, 1.2668229341506958, 0.019083097577095032, -2.1524875164031982, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.15789075195789337, -0.10911396890878677, 0.1198086217045784, -0.043676894158124924, 1.1226431131362915, 0.55845707654953, 0.24147239327430725, 1.224228858947754, 0.974624514579773, -0.19819948077201843, -1.6389708518981934, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.15671680867671967, -0.10983951389789581, 0.11723662912845612, -0.04330679029226303, 1.1243290901184082, 0.5610435009002686, 0.24236437678337097, 1.2204662561416626, 0.9770877957344055, -0.1948007345199585, -1.6468935012817383, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2.5
3.5
3.75
-1.25
2
Ses01M_impro06_F020
It gets better.
2
neutral
0.175
9,373
0.278257
-0.333333
0
0.816497
0.471405
0.816497
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.15702590346336365, -0.10434294492006302, 0.12356572598218918, -0.009041903540492058, 1.190914273262024, 0.5682777762413025, 0.16847603023052216, 1.3141651153564453, 0.9904425740242004, -0.20866498351097107, -1.670547604560852, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }