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
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.022236401215195656, -0.10193555057048798, 0.3503947854042053, -0.1734868437051773, 1.044996976852417, 0.7699801921844482, 0.2791106700897217, 2.121270179748535, 1.051916480064392, -0.03923557326197624, -0.6467939019203186, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ -0.008161031641066074, -0.11029257625341415, 0.3313229978084564, -0.16077293455600739, 1.0489836931228638, 0.798580527305603, 0.28443968296051025, 2.1300394535064697, 1.0249024629592896, -0.01872984692454338, -0.7117751240730286, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.016252782195806503, -0.10174120217561722, 0.36190065741539, -0.1613909751176834, 0.979646623134613, 0.7132030725479126, 0.24887186288833618, 1.9905811548233032, 1.019402027130127, -0.03317246586084366, -0.6043937802314758, -0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.02082090638577938, -0.11692932993173599, 0.34553003311157227, -0.16329504549503326, 1.0590640306472778, 0.779625654220581, 0.29012539982795715, 2.1242661476135254, 1.0393363237380981, -0.0203354824334383, -0.6836172342300415, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.01085148099809885, -0.11163336038589478, 0.36371707916259766, -0.1776995062828064, 1.0215626955032349, 0.7435095310211182, 0.27024978399276733, 2.066988945007324, 1.0532087087631226, -0.03352862223982811, -0.6316016912460327, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ -0.02328641712665558, -0.11447757482528687, 0.3176882266998291, -0.15473636984825134, 1.0332653522491455, 0.7057873606681824, 0.2604532539844513, 2.0316407680511475, 0.9745835661888123, -0.06820011883974075, -0.7080448865890503, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ -0.004183425568044186, -0.1861104518175125, 0.3095000386238098, -0.20865601301193237, 1.1644312143325806, 0.7850672006607056, 0.29605042934417725, 2.228536367416382, 1.0332292318344116, -0.14062008261680603, -0.8096814155578613, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.02190547063946724, -0.102178193628788, 0.3495432138442993, -0.17230857908725739, 1.0455703735351562, 0.7701672911643982, 0.2790892720222473, 2.121307134628296, 1.052196979522705, -0.03904905542731285, -0.6469271779060364, -0....
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.022185301408171654, -0.10210142284631729, 0.3500317633152008, -0.17279893159866333, 1.0451329946517944, 0.7699751257896423, 0.2790594696998596, 2.12097430229187, 1.0520050525665283, -0.038997381925582886, -0.6468020081520081, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4.5
4.5
4
8.75
3.75
4
Ses02M_impro07_F018
[LAUGHTER] like a- like a- [LAUGHTER] No, but I mean like everywhere you go people know who you are.
4
happy
0
8,748
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
4.5
4.5
4
[ { "feats": [ 0.013597522862255573, -0.09718635678291321, 0.3109225034713745, -0.15929755568504333, 1.0458800792694092, 0.7453022003173828, 0.28153130412101746, 2.075608491897583, 1.0443634986877441, -0.034050989896059036, -0.6621799468994141, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.11947481334209442, -0.2602691650390625, 0.27752023935317993, -0.016369691118597984, 1.0123043060302734, 0.3615046739578247, 0.18483206629753113, 1.411826252937317, 1.040966272354126, -0.04525712877511978, -0.7891855835914612, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.16465261578559875, -0.17520606517791748, 0.29220059514045715, 0.033193670213222504, 0.9633142352104187, 0.44881924986839294, 0.15944050252437592, 1.3701492547988892, 1.0526050329208374, -0.14736561477184296, -0.8308939337730408, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.08584639430046082, -0.11943312734365463, 0.25610172748565674, 0.013702308759093285, 0.897367000579834, 0.33001506328582764, 0.11694002151489258, 1.3992178440093994, 1.0875550508499146, -0.11444834619760513, -0.6868695020675659, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.14411771297454834, -0.23269122838974, 0.29725658893585205, 0.014504587277770042, 0.9799001216888428, 0.38881415128707886, 0.17395375669002533, 1.3692858219146729, 1.0340354442596436, -0.08803999423980713, -0.781773567199707, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.11193101853132248, -0.22910138964653015, 0.2583680748939514, -0.01868116296827793, 0.9772228598594666, 0.3527037501335144, 0.16214324533939362, 1.4051402807235718, 1.055747628211975, -0.08030714094638824, -0.7403643727302551, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.021917730569839478, -0.34642407298088074, 0.23282195627689362, -0.009604654274880886, 1.074410080909729, 0.3459705412387848, 0.19407090544700623, 1.5039634704589844, 1.0859310626983643, -0.019947657361626625, -0.8642430305480957, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.151587575674057, -0.383342981338501, 0.29152005910873413, -0.03284711018204689, 1.2244516611099243, 0.40822216868400574, 0.21776600182056427, 1.6551262140274048, 1.1929311752319336, 0.02588503621518612, -0.9432180523872375, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.12391397356987, -0.2277476191520691, 0.27912452816963196, -0.010642115958034992, 1.0035983324050903, 0.37895694375038147, 0.1676659882068634, 1.4084148406982422, 1.0563898086547852, -0.07196123152971268, -0.7852264642715454, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.12185639142990112, -0.24924665689468384, 0.2766576111316681, -0.013376900926232338, 1.0104005336761475, 0.3686734139919281, 0.17988251149654388, 1.4099409580230713, 1.046464443206787, -0.054239530116319656, -0.7888609170913696, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3.5
2.5
3.5
3.75
1.25
4
Ses02M_impro07_F019
So you know what you are going to do there?
4
happy
1.175
8,467
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
3.5
2.5
3.5
[ { "feats": [ 0.06960801035165787, -0.1015535220503807, 0.2659628391265869, 0.05729393661022186, 0.8888534307479858, 0.4245956242084503, 0.11743100732564926, 1.3081587553024292, 1.0665816068649292, -0.133894145488739, -0.7670742273330688, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.016666477546095848, -0.14671064913272858, 0.22319509088993073, -0.0096711041405797, 0.7855097055435181, 0.4212653636932373, 0.12951773405075073, 1.4969614744186401, 0.8891348838806152, -0.10497754067182541, -0.6892861127853394, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ -0.014179842546582222, -0.13486090302467346, 0.2030729055404663, 0.0744766891002655, 0.7878785133361816, 0.4744355082511902, 0.10672204941511154, 1.5749214887619019, 0.8743715882301331, -0.13708816468715668, -0.6860937476158142, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ -0.01606106571853161, -0.10331405699253082, 0.14639191329479218, -0.018951265141367912, 0.7092164158821106, 0.36477595567703247, 0.12580455839633942, 1.346927523612976, 0.8684108853340149, -0.10928413271903992, -0.6736308932304382, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.02501591481268406, -0.15099214017391205, 0.22551143169403076, 0.00899994745850563, 0.8107684850692749, 0.4425666332244873, 0.11021542549133301, 1.5742465257644653, 0.9022479057312012, -0.12405657023191452, -0.674929678440094, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ -0.015374787151813507, -0.15409117937088013, 0.221208393573761, -0.012258554808795452, 0.7553460001945496, 0.40370795130729675, 0.12629491090774536, 1.4408234357833862, 0.8843870162963867, -0.10113722085952759, -0.6798157691955566, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.079071544110775, -0.17414462566375732, 0.24066194891929626, -0.01233307272195816, 0.9806077480316162, 0.4947642683982849, 0.09738153219223022, 1.6560806035995483, 1.0276963710784912, -0.12802405655384064, -0.896615743637085, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.16865625977516174, -0.2285904884338379, 0.24535691738128662, -0.12202628701925278, 1.2800437211990356, 0.5436903238296509, 0.18056221306324005, 1.9579325914382935, 1.1445868015289307, -0.10541810840368271, -1.028618574142456, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.016937345266342163, -0.14728222787380219, 0.22237516939640045, -0.008523013442754745, 0.7852007746696472, 0.4233856201171875, 0.12919634580612183, 1.4975543022155762, 0.8895083069801331, -0.10616245865821838, -0.6895965933799744, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.016396157443523407, -0.14698421955108643, 0.2218388170003891, -0.008258694782853127, 0.7853057384490967, 0.42184969782829285, 0.1294333040714264, 1.4965144395828247, 0.889055609703064, -0.10563298314809799, -0.6897221803665161, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3.5
2.5
3
3.75
1.25
4
Ses02M_impro07_F021
Yes, it's intimate.
4
happy
1.225
8,749
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
3.5
2.5
3
[ { "feats": [ 0.016986873000860214, -0.15686650574207306, 0.19716888666152954, 0.006637981627136469, 0.7610964179039001, 0.423822283744812, 0.1499064564704895, 1.4105933904647827, 0.8616853952407837, -0.10829852521419525, -0.691520631313324, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.05096279829740524, -0.215508833527565, 0.15429578721523285, -0.22112047672271729, 1.1505563259124756, 0.4581053853034973, 0.1541842222213745, 1.480384349822998, 1.091924786567688, -0.059995025396347046, -0.8582384586334229, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.07355336099863052, -0.1835010051727295, 0.13929075002670288, -0.17991843819618225, 1.090645670890808, 0.5047447681427002, 0.15760159492492676, 1.4097508192062378, 1.0868216753005981, -0.08922292292118073, -0.867977499961853, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ -0.016245132312178612, -0.16151320934295654, 0.11585232615470886, -0.13303428888320923, 1.1331439018249512, 0.44423457980155945, 0.16328230500221252, 1.4180383682250977, 1.0865325927734375, -0.1305849254131317, -0.8010201454162598, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.08081358671188354, -0.2184542864561081, 0.14397375285625458, -0.21680361032485962, 1.1540541648864746, 0.4756132662296295, 0.13517047464847565, 1.4558030366897583, 1.0923807621002197, -0.06611990183591843, -0.8709191083908081, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ -0.00024441469577141106, -0.16102814674377441, 0.14876346290111542, -0.16911451518535614, 1.1680264472961426, 0.44990837574005127, 0.1576579064130783, 1.4607347249984741, 1.089645504951477, -0.09913183748722076, -0.823651134967804, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ -0.01884712092578411, -0.2069365680217743, 0.033218156546354294, -0.14996275305747986, 1.270397424697876, 0.49727070331573486, 0.06328553706407547, 1.5415104627609253, 1.0339365005493164, -0.13707223534584045, -1.0643247365951538, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.02065960504114628, -0.2667117118835449, 0.019110485911369324, -0.20352138578891754, 1.3608986139297485, 0.48153170943260193, 0.13255316019058228, 1.7259975671768188, 1.010055422782898, -0.07098250836133957, -1.0583415031433105, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.047733139246702194, -0.20810581743717194, 0.15679892897605896, -0.21621637046337128, 1.1457374095916748, 0.45662999153137207, 0.15232259035110474, 1.4797520637512207, 1.0933126211166382, -0.0648883581161499, -0.8551492094993591, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.04947711154818535, -0.2125980705022812, 0.1553429216146469, -0.21989040076732635, 1.148654580116272, 0.4577585756778717, 0.15344643592834473, 1.4800305366516113, 1.0925939083099365, -0.0617670975625515, -0.8571722507476807, -...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3.5
3
6.25
2.5
4
Ses02M_impro07_F024
I will do the best I can.
4
happy
0.25
5,339
0.382149
-0.333333
0
0
0.471405
0.942809
null
0
0
4
3
4
3.5
3
[ { "feats": [ 0.01674257405102253, -0.19616374373435974, 0.14115683734416962, -0.19044429063796997, 1.1352566480636597, 0.4604605734348297, 0.14776863157749176, 1.394097089767456, 1.098240852355957, -0.08161582052707672, -0.8286343812942505, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.06503722816705704, -0.03429718315601349, 0.2061072438955307, -0.013703683391213417, 0.7445792555809021, 0.4702245891094208, 0.0818764939904213, 1.2188867330551147, 0.9220983386039734, -0.0875069797039032, -0.8111174702644348, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.07758034765720367, -0.02903759479522705, 0.20964615046977997, -0.00046667346032336354, 0.7242804169654846, 0.4944647252559662, 0.08477567136287689, 1.2043598890304565, 0.8959680199623108, -0.08867786079645157, -0.8481333255767822, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.07064025104045868, -0.051179151982069016, 0.19774699211120605, -0.03529449924826622, 0.7175156474113464, 0.42956438660621643, 0.07349085807800293, 1.1561505794525146, 0.8966356515884399, -0.08091568946838379, -0.7580579519271851, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.06881133466959, -0.025555068626999855, 0.2120295763015747, 0.00581505848094821, 0.7432621121406555, 0.4745023846626282, 0.08762048184871674, 1.2256790399551392, 0.909032940864563, -0.07984805852174759, -0.8151444792747498, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.06690230220556259, -0.0333503894507885, 0.1986238956451416, -0.021421629935503006, 0.7205379605293274, 0.4433861970901489, 0.0730324238538742, 1.1716219186782837, 0.9004886150360107, -0.08325988054275513, -0.7721632122993469, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.07676573097705841, -0.10334090888500214, 0.33405008912086487, -0.03912552446126938, 0.8915404677391052, 0.5033189654350281, 0.05756179988384247, 1.4025139808654785, 1.0279067754745483, -0.10747280716896057, -0.9436962008476257, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.10956206917762756, -0.13160066306591034, 0.5259627103805542, -0.10213662683963776, 1.1629291772842407, 0.667674720287323, 0.09247297048568726, 1.7439590692520142, 1.1571966409683228, -0.1902308464050293, -1.0164605379104614, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.06522534787654877, -0.03400265425443649, 0.2063395380973816, -0.013410949148237705, 0.7442906498908997, 0.4702649414539337, 0.08123106509447098, 1.2186025381088257, 0.9225260615348816, -0.08764232695102692, -0.8112083673477173, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.06492319703102112, -0.034138500690460205, 0.20572839677333832, -0.013555093668401241, 0.7442103624343872, 0.47004035115242004, 0.0820109099149704, 1.2175123691558838, 0.9216389060020447, -0.08773680031299591, -0.8109933137893677, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
3.5
5
2.5
4
Ses02M_impro07_F028
and we'll explore and you going to have such a good time, you're going to fit in so well, it's going to be awesome
4
happy
0.425
803
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.05903509259223938, -0.029862860217690468, 0.2168814241886139, -0.012286203913390636, 0.7023755311965942, 0.447264701128006, 0.06274925172328949, 1.154344916343689, 0.8925648927688599, -0.09313210099935532, -0.8153776526451111, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.011576739139854908, -0.12739481031894684, 0.32150712609291077, -0.10044128447771072, 1.0386810302734375, 0.6230579614639282, 0.00847265962511301, 1.4916599988937378, 0.8224839568138123, -0.09552786499261856, -1.1958286762237549, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ -0.009052778594195843, -0.10500870645046234, 0.2865152657032013, -0.04272555559873581, 1.0148979425430298, 0.6129492521286011, -0.0008994971285574138, 1.4605189561843872, 0.7984287142753601, -0.13335779309272766, -1.183841347694397, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ -0.046254146844148636, -0.114603191614151, 0.32438647747039795, -0.06793802976608276, 1.0321953296661377, 0.5704547762870789, -0.012077617458999157, 1.4957573413848877, 0.8304389119148254, -0.1136343702673912, -1.143052577972412, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.008654442615807056, -0.12276384979486465, 0.2889651358127594, -0.07088623195886612, 1.0354958772659302, 0.6209127306938171, 0.02005288563668728, 1.4608114957809448, 0.8172534108161926, -0.12544384598731995, -1.1973668336868286, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.0021123113110661507, -0.13916651904582977, 0.30411142110824585, -0.07776590436697006, 1.0387074947357178, 0.5944276452064514, -0.014692381024360657, 1.4860405921936035, 0.825562596321106, -0.10907278954982758, -1.1349292993545532, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.04670374467968941, -0.14464163780212402, 0.27903300523757935, -0.044639624655246735, 1.4999691247940063, 0.6088004112243652, 0.07102762907743454, 1.8011246919631958, 0.9855133891105652, 0.002547620330005884, -1.7545374631881714, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.0462304912507534, -0.13924537599086761, 0.42362678050994873, -0.20040233433246613, 1.9022760391235352, 0.8710435628890991, 0.22960186004638672, 2.204716205596924, 1.1155513525009155, -0.011519386433064938, -2.044198513031006, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.004772696178406477, -0.11949066072702408, 0.3134699761867523, -0.09387687593698502, 1.029531478881836, 0.6192623972892761, -0.00022317073307931423, 1.491786003112793, 0.8207342624664307, -0.10575444996356964, -1.1854203939437866, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ 0.009407681412994862, -0.12483835965394974, 0.31606224179267883, -0.09815047681331635, 1.033951997756958, 0.6203762292861938, 0.0054153744131326675, 1.4867631196975708, 0.8205892443656921, -0.09848569333553314, -1.1914072036743164, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
4
3
3
5
2.5
4
Ses02M_impro07_F029
So Congratulations. That's awesome.
4
happy
0.475
3,233
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
4
3
3
[ { "feats": [ -0.03352964669466019, -0.10152142494916916, 0.29482465982437134, -0.06487984955310822, 1.0149412155151367, 0.6170869469642639, -0.04364373907446861, 1.4302934408187866, 0.8484876751899719, -0.14401735365390778, -1.1915310621261597, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.03877319395542145, -0.10936930030584335, 0.19019253551959991, -0.015523181296885014, 0.6861993074417114, 0.48100584745407104, 0.11165875196456909, 1.336910367012024, 0.7837932705879211, -0.02805870771408081, -0.6801732778549194, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.0124053331092, -0.11403387039899826, 0.18736547231674194, 0.002656935015693307, 0.6796572208404541, 0.4903443455696106, 0.1267089992761612, 1.304378628730774, 0.7615683674812317, -0.03418300300836563, -0.7307833433151245, 0.0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.020235659554600716, -0.11483634263277054, 0.18012341856956482, -0.01539089996367693, 0.6892193555831909, 0.434977650642395, 0.09833221882581711, 1.3461644649505615, 0.777003824710846, -0.034986674785614014, -0.6180525422096252, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.02298125997185707, -0.11510200798511505, 0.19130142033100128, -0.005417601205408573, 0.6859931945800781, 0.48800182342529297, 0.11386661976575851, 1.3226712942123413, 0.7729241847991943, -0.03895467892289162, -0.7037357687950134, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.029909294098615646, -0.10974691808223724, 0.18303321301937103, -0.006688643712550402, 0.6908588409423828, 0.46050986647605896, 0.10043156147003174, 1.35956609249115, 0.7799167037010193, -0.029972657561302185, -0.6479671001434326, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ -0.005699325818568468, -0.09888803958892822, 0.14802110195159912, -0.00011500494292704388, 0.7010679841041565, 0.46609067916870117, 0.11506267637014389, 1.3197193145751953, 0.7670048475265503, -0.03270508721470833, -0.729359626770019...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.0028669587336480618, -0.10835590958595276, 0.18973693251609802, 0.005049736239016056, 0.7854510545730591, 0.4792986810207367, 0.13179060816764832, 1.4814540147781372, 0.8128019571304321, -0.02147144265472889, -0.7808791995048523, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.038176052272319794, -0.10908263921737671, 0.1901618391275406, -0.014910518191754818, 0.686661422252655, 0.48130255937576294, 0.11172061413526535, 1.3373335599899292, 0.7841166853904724, -0.028285009786486626, -0.6801321506500244, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.03859599679708481, -0.10934735089540482, 0.19021670520305634, -0.015373937785625458, 0.68630450963974, 0.48112425208091736, 0.11168961971998215, 1.336910367012024, 0.7838637232780457, -0.02808293141424656, -0.6802080869674683, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3
4
4
7.5
0
3
Ses02M_impro07_M009
it was you know I wasn't too sure I mean you know it was kind of last minute for like the application
3
happy
1.125
235
0.75
-0.5
0
0
0
0
null
null
null
3
2
3
4
4
[ { "feats": [ 0.01768667995929718, -0.09892140328884125, 0.1849537193775177, 0.003962350077927113, 0.7015914916992188, 0.47430601716041565, 0.1202758252620697, 1.3310095071792603, 0.7841523885726929, -0.03976517170667648, -0.6861187219619751, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.05589961260557175, -0.23654894530773163, 0.1447708159685135, -0.2155049741268158, 0.8786365389823914, 0.41647812724113464, 0.1373392790555954, 1.6742256879806519, 0.8033129572868347, -0.2939743399620056, -0.4540644884109497, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ -0.03962705284357071, -0.29658132791519165, 0.2184777557849884, -0.19223849475383759, 0.8512597680091858, 0.4223439693450928, 0.1976245492696762, 1.5597790479660034, 0.6983480453491211, -0.21046094596385956, -0.6084964275360107, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.018270105123519897, -0.2510336637496948, 0.1098388284444809, -0.2066582590341568, 0.8933310508728027, 0.3952329754829407, 0.10966486483812332, 1.7229236364364624, 0.8540623784065247, -0.2933456003665924, -0.4041360914707184, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.008554482832551003, -0.25011172890663147, 0.18756690621376038, -0.19084830582141876, 0.8820741772651672, 0.41620972752571106, 0.143633171916008, 1.6497470140457153, 0.7803182005882263, -0.2786685526371002, -0.4757649600505829, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.01267959363758564, -0.2331875115633011, 0.10542159527540207, -0.1990216076374054, 0.8801283836364746, 0.4013901948928833, 0.10976669192314148, 1.6625245809555054, 0.8035206198692322, -0.28979432582855225, -0.42903468012809753, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.0039487965404987335, -0.2594706118106842, 0.06610950827598572, -0.19959135353565216, 0.9661969542503357, 0.4156354069709778, 0.09420105069875717, 1.7149070501327515, 0.986696183681488, -0.17613635957241058, -0.6103609204292297, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.008914067409932613, -0.2034260630607605, 0.029880352318286896, -0.20031516253948212, 1.0791826248168945, 0.4358271062374115, 0.11566279083490372, 1.8082369565963745, 1.049776554107666, -0.13730165362358093, -0.6654094457626343, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.05567491054534912, -0.23645876348018646, 0.14486324787139893, -0.21492595970630646, 0.8788542747497559, 0.4168200194835663, 0.13742876052856445, 1.6746512651443481, 0.8036965131759644, -0.29447031021118164, -0.45387741923332214, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.056169476360082626, -0.23648928105831146, 0.14437460899353027, -0.21545088291168213, 0.8786681294441223, 0.41641348600387573, 0.13711513578891754, 1.6739299297332764, 0.8032013773918152, -0.2938361167907715, -0.45410269498825073, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3
3
2.5
5
0
3
Ses02M_impro07_M010
and everything like but
3
happy
1.625
5,608
0.375
-0.5
0
0
1
0.5
null
0
0
3
2
3
3
2.5
[ { "feats": [ 0.037530817091464996, -0.21102741360664368, 0.14336518943309784, -0.17518384754657745, 0.8658531904220581, 0.39129185676574707, 0.10213927179574966, 1.560306429862976, 0.7959147691726685, -0.2743944525718689, -0.5066562294960022, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ -0.003700112458318472, -0.10178351402282715, 0.14590804278850555, -0.004877590574324131, 0.7755134701728821, 0.41342657804489136, -0.007522257044911385, 1.7622483968734741, 0.7543222904205322, -0.013626650907099247, -0.40028077363967...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.013963867910206318, -0.12523877620697021, 0.14369319379329681, 0.004058776888996363, 0.7942537069320679, 0.46941903233528137, 0.03079577535390854, 1.6564762592315674, 0.7585013508796692, -0.059366099536418915, -0.5036805272102356, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ -0.00666038878262043, -0.12458440661430359, 0.1565355360507965, -0.03699624910950661, 0.8260209560394287, 0.3702758252620697, -0.0059517789632081985, 1.8394691944122314, 0.7885316610336304, -0.02608039788901806, -0.34241417050361633,...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ -0.016497133299708366, -0.11507779359817505, 0.14094065129756927, 0.0352773480117321, 0.7951992154121399, 0.46563974022865295, 0.018972381949424744, 1.7188800573349, 0.7509564757347107, -0.049179352819919586, -0.4819750487804413, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ -0.008149777539074421, -0.1075141504406929, 0.13514269888401031, -0.051352519541978836, 0.7878501415252686, 0.38173651695251465, -0.008464748971164227, 1.7963972091674805, 0.7616612315177917, -0.038452696055173874, -0.354086786508560...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.10498403012752533, -0.07278387248516083, 0.08016052097082138, -0.03720451518893242, 0.7117945551872253, 0.4075898230075836, -0.047416869550943375, 1.610951542854309, 0.7061097621917725, -0.09580683708190918, -0.4381523132324219, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.10120559483766556, -0.06021250784397125, 0.060147788375616074, -0.0040742759592831135, 0.830933690071106, 0.465101957321167, -0.07973019033670425, 1.7782247066497803, 0.7301459908485413, -0.1264301836490631, -0.4665587842464447, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ -0.0036971555091440678, -0.10199016332626343, 0.14584346115589142, -0.005178536754101515, 0.7756544947624207, 0.4131563901901245, -0.00729265995323658, 1.7619036436080933, 0.754584014415741, -0.013553619384765625, -0.4000515639781952...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ -0.0037423784378916025, -0.10194852948188782, 0.1459454894065857, -0.004775081295520067, 0.7753989696502686, 0.4133623540401459, -0.007445231080055237, 1.7620223760604858, 0.7542891502380371, -0.013610930182039738, -0.400064855813980...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3.5
2.5
2.5
3.75
1.25
3
Ses02M_impro07_M011
it was good, yeah. I mean-
3
happy
1.375
8,011
0.321429
-0.5
0
0.5
0.5
0.5
0
0
0
3
2
3.5
2.5
2.5
[ { "feats": [ 0.041833192110061646, -0.07012765109539032, 0.1360890418291092, 0.039652980864048004, 0.803223729133606, 0.43665266036987305, -0.014013011939823627, 1.7456809282302856, 0.7615146040916443, -0.06625846028327942, -0.4093034565448761, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.06216515228152275, -0.19382910430431366, 0.15676577389240265, -0.08345261216163635, 0.6318762302398682, 0.40858450531959534, 0.059253592044115067, 1.3779962062835693, 0.7672986388206482, -0.02889913320541382, -0.5576189160346985, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.04128430038690567, -0.1698780059814453, 0.16650599241256714, -0.09061753004789352, 0.6557595729827881, 0.4455300271511078, 0.0948750302195549, 1.3851133584976196, 0.7786336541175842, -0.05063452199101448, -0.6205845475196838, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.06670132279396057, -0.2138979136943817, 0.161507248878479, -0.0873071625828743, 0.6488104462623596, 0.3783874213695526, 0.045617155730724335, 1.3998161554336548, 0.7709457278251648, -0.015118850395083427, -0.5120511054992676, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.051409754902124405, -0.1872624158859253, 0.16177873313426971, -0.08688657730817795, 0.641666829586029, 0.42496711015701294, 0.07017232477664948, 1.3768316507339478, 0.766889750957489, -0.04189162328839302, -0.5934323072433472, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.0698014348745346, -0.20889969170093536, 0.1564539521932602, -0.08702164143323898, 0.6419389843940735, 0.3915335536003113, 0.04880713298916817, 1.3943748474121094, 0.7671504020690918, -0.022812318056821823, -0.5309836864471436, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.04248891398310661, -0.19871218502521515, 0.15834611654281616, -0.07500876486301422, 0.6745099425315857, 0.41990426182746887, 0.05264097824692726, 1.3873685598373413, 0.7871277928352356, -0.033989567309617996, -0.6108365654945374, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.016156833618879318, -0.18074318766593933, 0.19910939037799835, -0.07733693718910217, 0.7648714184761047, 0.4504642188549042, 0.04444867745041847, 1.546522855758667, 0.8319193720817566, -0.06468795984983444, -0.6317174434661865, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.06212068349123001, -0.19372856616973877, 0.1568545699119568, -0.08338628709316254, 0.631829023361206, 0.4086078703403473, 0.05925578251481056, 1.377963900566101, 0.7671312689781189, -0.028752455487847328, -0.5574866533279419, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.06211411580443382, -0.1937398761510849, 0.15677767992019653, -0.08343881368637085, 0.6317188143730164, 0.40853315591812134, 0.05933031812310219, 1.3776201009750366, 0.7672123312950134, -0.028813131153583527, -0.557587206363678, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
1
3.5
3.5
4
6.25
1.25
3
Ses02M_impro07_M025
yeah, I mean a lot-a lot of good stuff oh, yeah, I mean it's- it's just a really good school; so really, whatever I pick I can't go wrong. I mean I'm just
3
happy
0.575
4,335
0.416667
-0.5
0
0.5
0.5
0
0
0
null
3
2
3.5
3.5
4
[ { "feats": [ 0.05226300284266472, -0.1920900195837021, 0.15826678276062012, -0.05892510339617729, 0.6378299593925476, 0.4059944152832031, 0.05032474175095558, 1.3549525737762451, 0.759926974773407, -0.02212691679596901, -0.5637078285217285, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }