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
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.017802102491259575, -0.19809390604496002, 0.19605694711208344, -0.02877412922680378, 0.804390549659729, 0.23666280508041382, 0.042994603514671326, 1.2590774297714233, 0.6645681262016296, 0.05600469186902046, -0.8255905508995056, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.025361279025673866, -0.11899717897176743, 0.2733525037765503, 0.04805101454257965, 0.8497294783592224, 0.3537338972091675, -0.0006154667353257537, 1.3470274209976196, 0.7155000567436218, 0.007336871232837439, -0.8904363512992859, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.00582762248814106, -0.1669900268316269, 0.1854262351989746, 0.017475837841629982, 0.7676821351051331, 0.17477978765964508, -0.050629474222660065, 1.2631618976593018, 0.713631272315979, 0.002012982266023755, -0.7574700117111206, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.0027118432335555553, -0.18526040017604828, 0.22095777094364166, 0.018169602379202843, 0.8357678651809692, 0.28961870074272156, 0.03566792234778404, 1.270820140838623, 0.6920558214187622, 0.03841780126094818, -0.8843904137611389, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.003152129240334034, -0.17837342619895935, 0.17928244173526764, -0.01238206960260868, 0.764884352684021, 0.1958218365907669, -0.003463816363364458, 1.225419521331787, 0.6863317489624023, 0.030684808269143105, -0.7750231623649597, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.11952884495258331, -0.33145591616630554, 0.2762618660926819, -0.10066815465688705, 1.1052953004837036, 0.3518544137477875, 0.040380701422691345, 1.7131184339523315, 0.975620448589325, -0.03564877808094025, -1.0572929382324219, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ 0.053220294415950775, -0.31127843260765076, 0.24875015020370483, -0.18880943953990936, 1.2102380990982056, 0.41761690378189087, 0.04596266150474548, 1.6930838823318481, 1.0668001174926758, -0.044097092002630234, -1.119549036026001, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.0002810546138789505, -0.1805250644683838, 0.19840870797634125, -0.01843612641096115, 0.7917656302452087, 0.2351120561361313, 0.017001116648316383, 1.2518062591552734, 0.6745565533638, 0.043961815536022186, -0.8198556900024414, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.010591753758490086, -0.1924017369747162, 0.19553406536579132, -0.02318880334496498, 0.7999723553657532, 0.23583853244781494, 0.03243058919906616, 1.2554783821105957, 0.6688757538795471, 0.051747243851423264, -0.8249372243881226, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3
3.75
-1.25
5
Ses03M_impro04_M004
Cause I went to Harvard.
5
anger
1.9
9,415
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
2.5
2.5
3
[ { "feats": [ -0.046701036393642426, -0.16831430792808533, 0.20095472037792206, 0.10964836180210114, 0.782191812992096, 0.2740918695926666, -0.018861019983887672, 1.293946385383606, 0.7354593873023987, -0.007192143239080906, -0.8669815063476562, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.1424541473388672, -0.25149643421173096, 0.26854610443115234, -0.16434869170188904, 0.8351016044616699, 0.3295978307723999, 0.17658187448978424, 1.2606391906738281, 0.9220010638237, -0.14568917453289032, -0.8735460042953491, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.12324974685907364, -0.22545967996120453, 0.3216068148612976, -0.14843598008155823, 0.9032334685325623, 0.408136248588562, 0.17663291096687317, 1.3093147277832031, 0.958057165145874, -0.16917403042316437, -0.9517692923545837, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.13710688054561615, -0.206028550863266, 0.28737950325012207, -0.14735421538352966, 0.862019956111908, 0.292419970035553, 0.07989677041769028, 1.3124719858169556, 0.9875520467758179, -0.20708473026752472, -0.7879161834716797, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.12196389585733414, -0.24013616144657135, 0.30607590079307556, -0.1627322882413864, 0.8502563834190369, 0.3644665777683258, 0.18163485825061798, 1.2579379081726074, 0.9348918199539185, -0.15615683794021606, -0.9071750640869141, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.15352827310562134, -0.2653805911540985, 0.28287774324417114, -0.1721906214952469, 0.8537850379943848, 0.3120483160018921, 0.14677998423576355, 1.299998164176941, 0.9492766261100769, -0.16467900574207306, -0.8394323587417603, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.14211107790470123, -0.3242621421813965, 0.22989977896213531, -0.2213483303785324, 1.104612112045288, 0.30014535784721375, 0.09447010606527328, 1.4267220497131348, 1.0622986555099487, -0.06266198307275772, -1.0632548332214355, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.2307307869195938, -0.26784178614616394, 0.26213619112968445, -0.2513252794742584, 1.2645949125289917, 0.3260957896709442, 0.09468479454517365, 1.6048980951309204, 1.2021567821502686, -0.0743839219212532, -1.1766893863677979, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.14366120100021362, -0.2417864352464676, 0.2719035744667053, -0.16554208099842072, 0.8386151790618896, 0.3360721468925476, 0.17003190517425537, 1.2643506526947021, 0.932007372379303, -0.15328571200370789, -0.8750813603401184, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.14096371829509735, -0.24852794408798218, 0.2693184018135071, -0.16470512747764587, 0.8368837833404541, 0.3324408233165741, 0.17499396204948425, 1.2610573768615723, 0.9254261255264282, -0.14808247983455658, -0.8734923005104065, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro04_M008
I'm smarter than half the people I work for.
5
anger
1.375
8,606
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.10494354367256165, -0.17922979593276978, 0.2725512683391571, -0.08609875291585922, 0.81374192237854, 0.3272961378097534, 0.12097672373056412, 1.1784541606903076, 0.9311527609825134, -0.19936496019363403, -0.8576267957687378, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.028410248458385468, -0.2052174061536789, 0.23772059381008148, -0.1611035317182541, 0.7063674330711365, 0.29112759232521057, 0.10453590750694275, 1.4301506280899048, 0.7905104756355286, -0.11451125144958496, -0.6694331169128418, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ -0.0017766788369044662, -0.17717991769313812, 0.22813095152378082, -0.10694471001625061, 0.7280339598655701, 0.35302406549453735, 0.12647302448749542, 1.4234471321105957, 0.7856624126434326, -0.15935805439949036, -0.7293226718902588,...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.022276781499385834, -0.20001083612442017, 0.21069109439849854, -0.12506301701068878, 0.695589542388916, 0.27329760789871216, 0.0778350681066513, 1.4087799787521362, 0.7805339694023132, -0.1099507287144661, -0.6385331749916077, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.0233035646378994, -0.1938689947128296, 0.2478693276643753, -0.14006425440311432, 0.7306110858917236, 0.32045435905456543, 0.1139044314622879, 1.444930076599121, 0.7998818159103394, -0.1436133086681366, -0.6879497766494751, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.03250125050544739, -0.2073678970336914, 0.22484348714351654, -0.15038511157035828, 0.7125802636146545, 0.28566181659698486, 0.08459790796041489, 1.428836464881897, 0.792988657951355, -0.10220383107662201, -0.6499235033988953, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.04038884863257408, -0.16272448003292084, 0.2041715532541275, -0.1455363929271698, 0.7823289036750793, 0.3222533166408539, 0.08631619811058044, 1.411007285118103, 0.8306455016136169, -0.13739706575870514, -0.7844674587249756, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.045403048396110535, -0.2479320764541626, 0.32111698389053345, -0.22329486906528473, 1.0025640726089478, 0.3527531921863556, 0.07167872041463852, 1.6316694021224976, 0.9747672080993652, -0.05425965413451195, -0.8702738881111145, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.028160637244582176, -0.2049693614244461, 0.2373063713312149, -0.15976954996585846, 0.7059693932533264, 0.2911202609539032, 0.10358629375696182, 1.428493618965149, 0.7903222441673279, -0.11508798599243164, -0.6691977381706238, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.02833501435816288, -0.2053917497396469, 0.23746313154697418, -0.1607571393251419, 0.706325352191925, 0.29120370745658875, 0.10409453511238098, 1.429489254951477, 0.7904431223869324, -0.11461953073740005, -0.6692768931388855, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
3
3.5
4
6.25
0
6
Ses03M_impro05a_F018
Sir, I just...you need to calm down is what needs to happen right now.
6
anger
1.425
5,186
0.392675
-0.333333
0
0.816497
0.471405
0
0
0
null
4
3
3
3.5
4
[ { "feats": [ 0.03143055737018585, -0.19115649163722992, 0.23011143505573273, -0.12687551975250244, 0.709916353225708, 0.3054176867008209, 0.11669813841581345, 1.3700870275497437, 0.7959688305854797, -0.10402683168649673, -0.6785187125205994, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.06542929261922836, -0.23983772099018097, 0.13421913981437683, -0.15463703870773315, 0.8721506595611572, 0.33831238746643066, -0.058730531483888626, 1.723167061805725, 1.0551596879959106, -0.06741656363010406, -0.4701533019542694, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.0778222382068634, -0.186554953455925, 0.06396466493606567, -0.1363547295331955, 0.8339605331420898, 0.44562873244285583, -0.03918293118476868, 1.6403595209121704, 1.0318917036056519, -0.11971841752529144, -0.5486721396446228, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.046278130263090134, -0.21917273104190826, 0.08029778301715851, -0.09444618970155716, 0.9046474099159241, 0.3123684823513031, -0.08280228823423386, 1.742858648300171, 1.1091490983963013, -0.10548131912946701, -0.4765343964099884, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.04623793810606003, -0.2098800539970398, 0.10541802644729614, -0.12535513937473297, 0.8446226716041565, 0.3707003593444824, -0.03751317784190178, 1.6862492561340332, 1.030930995941162, -0.07649721950292587, -0.5014289021492004, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.06845763325691223, -0.23719656467437744, 0.11206179112195969, -0.13755962252616882, 0.896679162979126, 0.30445489287376404, -0.07525183260440826, 1.7423570156097412, 1.088710069656372, -0.06946592777967453, -0.46589142084121704, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.05147762969136238, -0.12912195920944214, 0.027287961915135384, -0.08155138790607452, 1.1807116270065308, 0.4515611529350281, 0.09564115852117538, 1.9684826135635376, 1.357408881187439, -0.04420396685600281, -0.8129715919494629, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ 0.04912111535668373, -0.2838412821292877, 0.2021166980266571, -0.23072558641433716, 1.4013476371765137, 0.5705670118331909, 0.24548226594924927, 2.043640613555908, 1.3300650119781494, 0.0008879173547029495, -1.0327887535095215, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.08788501471281052, -0.22645191848278046, 0.13541439175605774, -0.13998033106327057, 0.8810330629348755, 0.34285968542099, -0.059459149837493896, 1.72030508518219, 1.067600965499878, -0.07218198478221893, -0.47585681080818176, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.07788015902042389, -0.23246169090270996, 0.1365579217672348, -0.14838671684265137, 0.8773606419563293, 0.3423084020614624, -0.05814661830663681, 1.7229105234146118, 1.0635387897491455, -0.07065608352422714, -0.4729941487312317, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
3.5
3.75
-1.25
6
Ses03M_impro05a_F028
What is your name?
6
anger
1.75
8,316
0.302907
-0.333333
0
0.471405
0.816497
0.471405
0
0
0
4
3
2.5
2.5
3.5
[ { "feats": [ -0.07613334059715271, -0.20005953311920166, 0.08692450821399689, -0.0686713308095932, 0.8585434556007385, 0.3512760400772095, -0.048351600766181946, 1.6419355869293213, 1.0668290853500366, -0.06102823466062546, -0.5412711501121521, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.050862956792116165, -0.16124999523162842, 0.23044438660144806, -0.07718993723392487, 0.7180923819541931, 0.4836201071739197, 0.10885713994503021, 1.1709647178649902, 0.7133743762969971, 0.07552100718021393, -0.7715721130371094, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.017791366204619408, -0.16841423511505127, 0.21501760184764862, -0.05667560175061226, 0.7267098426818848, 0.5059676170349121, 0.13483406603336334, 1.1438195705413818, 0.6778957843780518, 0.052605435252189636, -0.8275974988937378, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.06721408665180206, -0.17899678647518158, 0.21081487834453583, -0.061159975826740265, 0.7132449746131897, 0.4327312111854553, 0.09266972541809082, 1.190170168876648, 0.7066357135772705, 0.10575234144926071, -0.6544079780578613, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.035097721964120865, -0.16558614373207092, 0.221746027469635, -0.059761445969343185, 0.7194331884384155, 0.4901832938194275, 0.12235765904188156, 1.1535652875900269, 0.7008816599845886, 0.06945792585611343, -0.8035995364189148, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.057759881019592285, -0.16735725104808807, 0.22504819929599762, -0.0712951049208641, 0.7147421836853027, 0.45586374402046204, 0.09899144619703293, 1.1836282014846802, 0.7108421921730042, 0.09654611349105835, -0.7150631546974182, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.0533478818833828, -0.2547548711299896, 0.19829893112182617, -0.14457044005393982, 0.9034929275512695, 0.48647037148475647, 0.13477452099323273, 1.298822045326233, 0.7431982159614563, 0.08673607558012009, -0.960527777671814, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.02319938689470291, -0.2415120005607605, 0.204966738820076, -0.14281165599822998, 0.9843277931213379, 0.4902914762496948, 0.11146468669176102, 1.3525623083114624, 0.7847349047660828, 0.09393395483493805, -1.0468775033950806, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.05086921155452728, -0.16155123710632324, 0.23119065165519714, -0.07727086544036865, 0.7203899621963501, 0.48560091853141785, 0.10701708495616913, 1.1739860773086548, 0.714760959148407, 0.07580598443746567, -0.7717409133911133, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.05092478543519974, -0.16151008009910583, 0.23074118793010712, -0.07743144035339355, 0.7194343209266663, 0.4847301244735718, 0.1081298291683197, 1.1723881959915161, 0.7141125798225403, 0.07570301741361618, -0.7719889283180237, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4
4.5
7.5
-2.5
5
Ses03M_impro05a_M000
Yes you can help me. Where is my luggage?
5
anger
0.2
8,244
0.303581
null
null
0.942809
0.942809
0.471405
0
0
0
4
3
2
4
4.5
[ { "feats": [ 0.014918297529220581, -0.17229315638542175, 0.2029179185628891, -0.02526957169175148, 0.7261779308319092, 0.48043620586395264, 0.1223025992512703, 1.1546061038970947, 0.7099546790122986, 0.0796317458152771, -0.7726125717163086, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.10887579619884491, -0.17796552181243896, 0.260601282119751, -0.1356097310781479, 0.7534545063972473, 0.308899462223053, 0.13352026045322418, 1.2134153842926025, 0.7982703447341919, -0.1295911967754364, -0.7880045175552368, 0....
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1182771623134613, -0.16052491962909698, 0.2608371675014496, -0.10064209252595901, 0.7600559592247009, 0.34363430738449097, 0.153572678565979, 1.179412603378296, 0.7845854163169861, -0.1314031183719635, -0.8220434784889221, 0....
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.12198463082313538, -0.17128635942935944, 0.2528286874294281, -0.10776806622743607, 0.7309449315071106, 0.26288437843322754, 0.10849009454250336, 1.2097870111465454, 0.8028647899627686, -0.12739437818527222, -0.7064425349235535, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.10731606185436249, -0.16690030694007874, 0.26335179805755615, -0.11235817521810532, 0.7616738080978394, 0.32193610072135925, 0.1537712812423706, 1.200463056564331, 0.8021113276481628, -0.13071510195732117, -0.8065040111541748, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.11239339411258698, -0.17138482630252838, 0.259596049785614, -0.11563427746295929, 0.7298062443733215, 0.2813190817832947, 0.12026425451040268, 1.1970144510269165, 0.8043920397758484, -0.12319548428058624, -0.7463124990463257, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1449751853942871, -0.2135736495256424, 0.20168091356754303, -0.12750832736492157, 0.8777334690093994, 0.34477436542510986, 0.13827326893806458, 1.288295030593872, 0.8597683906555176, -0.08259905874729156, -0.8479382395744324, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1326378434896469, -0.23192615807056427, 0.1859297901391983, -0.140448659658432, 0.9718020558357239, 0.3677990138530731, 0.12264199554920197, 1.376339316368103, 0.8876705169677734, -0.07762055844068527, -0.8873714804649353, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1028047576546669, -0.17208634316921234, 0.260193794965744, -0.12943385541439056, 0.7505302429199219, 0.3081941604614258, 0.13098521530628204, 1.2115570306777954, 0.7997459769248962, -0.12941332161426544, -0.7859013080596924, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.10557474195957184, -0.17494824528694153, 0.26050662994384766, -0.13256126642227173, 0.7526149153709412, 0.3089090585708618, 0.1322251558303833, 1.2127666473388672, 0.7991418838500977, -0.1295318603515625, -0.7876446843147278, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M001
Yeah. You do that. I'm coming from Baltimore. You know where that is?
5
anger
0.075
6,725
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.09474670886993408, -0.14935123920440674, 0.25595995783805847, -0.08519992977380753, 0.7625150084495544, 0.3073372542858124, 0.11059337854385376, 1.1923946142196655, 0.8049915432929993, -0.11794332414865494, -0.7620100378990173, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.0571211539208889, -0.107256218791008, 0.2114603966474533, -0.10206226259469986, 0.6934242844581604, 0.3424340486526489, -0.08363576233386993, 1.3471895456314087, 0.6658411622047424, 0.12454763054847717, -0.9136192202568054, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.02284320257604122, -0.07958818972110748, 0.23684591054916382, -0.0657924935221672, 0.7166866660118103, 0.3929328918457031, -0.025160273537039757, 1.333109736442566, 0.663442850112915, 0.07641519606113434, -0.9833225011825562, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.028542855754494667, -0.14369966089725494, 0.21896660327911377, -0.06992506235837936, 0.7037934064865112, 0.302831768989563, -0.1031271368265152, 1.3970372676849365, 0.6715089678764343, 0.14469896256923676, -0.8347591757774353, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.04593832045793533, -0.09626410901546478, 0.21171393990516663, -0.08848412334918976, 0.7049646377563477, 0.3703800141811371, -0.05893590301275253, 1.342910647392273, 0.6666160225868225, 0.10743994265794754, -0.9572129249572754, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.04278631508350372, -0.10469574481248856, 0.2112114429473877, -0.08112084865570068, 0.6911768317222595, 0.3204171061515808, -0.09399814158678055, 1.3484952449798584, 0.6653208136558533, 0.13663122057914734, -0.8796567320823669, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.014506014995276928, -0.10674004256725311, 0.19455121457576752, -0.10106862336397171, 0.774843692779541, 0.3273979127407074, -0.06598640233278275, 1.3684507608413696, 0.6858614683151245, 0.10479599982500076, -0.9755575656890869, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.001965787261724472, -0.15721085667610168, 0.18555745482444763, -0.09174255281686783, 0.8623619675636292, 0.32363802194595337, -0.06278806924819946, 1.4887256622314453, 0.7028282880783081, 0.10457682609558105, -1.0209153890609741, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.05635685473680496, -0.10698851943016052, 0.21227796375751495, -0.1017836257815361, 0.6940447688102722, 0.34239113330841064, -0.08403719961643219, 1.3476479053497314, 0.6659307479858398, 0.1245744526386261, -0.9135746955871582, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.057111527770757675, -0.10719839483499527, 0.21162459254264832, -0.10203400254249573, 0.6936666369438171, 0.3424655497074127, -0.08379651606082916, 1.3473286628723145, 0.6659450531005859, 0.12458166480064392, -0.9136161208152771, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M002
I had eight hundred pounds of luggage.
5
anger
0.075
6,733
0.342865
null
null
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.022564370185136795, -0.0946425050497055, 0.2197459191083908, -0.07590388506650925, 0.7281611561775208, 0.36538106203079224, -0.09811985492706299, 1.3469833135604858, 0.6780896782875061, 0.1384134143590927, -0.9443578720092773, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.14874443411827087, -0.30895915627479553, 0.2283167541027069, -0.14940862357616425, 0.8295053839683533, 0.3297096788883209, 0.17952322959899902, 1.308680534362793, 0.8210610747337341, -0.08836372941732407, -0.6713504791259766, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.1281277984380722, -0.23756806552410126, 0.1771675944328308, -0.08071637898683548, 0.7894116044044495, 0.3719240427017212, 0.15556064248085022, 1.239488959312439, 0.7999603748321533, -0.17697736620903015, -0.7539224028587341, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.15717218816280365, -0.36428019404411316, 0.2683314085006714, -0.17517459392547607, 0.8327212929725647, 0.30288660526275635, 0.19243185222148895, 1.4231230020523071, 0.8473894000053406, -0.014846399426460266, -0.5185987949371338, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.12351348996162415, -0.2600632905960083, 0.19961395859718323, -0.1012687161564827, 0.7772017121315002, 0.3337894082069397, 0.1698196828365326, 1.2014328241348267, 0.7921575307846069, -0.1710101217031479, -0.707155704498291, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.1556777060031891, -0.32882097363471985, 0.26152318716049194, -0.175533264875412, 0.8552696108818054, 0.31900808215141296, 0.1804380565881729, 1.3995164632797241, 0.8451740145683289, -0.04645712301135063, -0.5923861265182495, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.3089183270931244, -0.37480947375297546, 0.1928536593914032, -0.19881148636341095, 0.9914169311523438, 0.4461148977279663, 0.22419820725917816, 1.5030722618103027, 1.1563291549682617, 0.0398576594889164, -0.9873515367507935, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.25443005561828613, -0.4820854663848877, 0.14791519939899445, -0.2475564181804657, 1.0552306175231934, 0.40226730704307556, 0.20000575482845306, 1.5535520315170288, 1.0506266355514526, 0.03659672290086746, -0.9491682648658752, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.14355400204658508, -0.29920342564582825, 0.23635508120059967, -0.1564188003540039, 0.8134711384773254, 0.3333321213722229, 0.17176371812820435, 1.307206392288208, 0.827212393283844, -0.10666302591562271, -0.6681439876556396, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.1463804543018341, -0.30565306544303894, 0.23019947111606598, -0.15234623849391937, 0.8219680786132812, 0.33073943853378296, 0.17607471346855164, 1.3058922290802002, 0.822924017906189, -0.09616170823574066, -0.6695627570152283, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
3
4
5
-1.25
5
Ses03M_impro05a_M003
Okay. Check.
5
anger
1.175
9,673
0.259982
null
null
0.816497
1.247219
0.816497
0
0
0
4
3
2.5
3
4
[ { "feats": [ -0.2237422615289688, -0.2872288227081299, 0.258022665977478, -0.06148293986916542, 0.7710754871368408, 0.366186261177063, 0.2400878518819809, 1.2403554916381836, 0.827416718006134, -0.13697592914104462, -0.6424567103385925, 0.1...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.03412827104330063, -0.32678651809692383, 0.08160118013620377, -0.017099976539611816, 0.7724006175994873, 0.22967049479484558, 0.2005029320716858, 1.195533037185669, 0.8511629700660706, -0.14196325838565826, -0.4133196473121643, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ -0.02030877210199833, -0.2684197425842285, 0.07830125838518143, 0.045681875199079514, 0.8190990090370178, 0.30363908410072327, 0.2366722822189331, 1.2971724271774292, 0.912375271320343, -0.205720916390419, -0.4975467026233673, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.039602816104888916, -0.3234066963195801, 0.09485145658254623, 0.005717742256820202, 0.7951856851577759, 0.23865164816379547, 0.20793533325195312, 1.2861377000808716, 0.8749986886978149, -0.11735934764146805, -0.3731440603733063, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.018970537930727005, -0.2987276613712311, 0.10265091806650162, 0.03583154082298279, 0.8488248586654663, 0.2720978260040283, 0.22705629467964172, 1.2476017475128174, 0.8998077511787415, -0.19280500710010529, -0.45823830366134644, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.050784632563591, -0.3100551664829254, 0.11277087032794952, -0.007084226235747337, 0.780529797077179, 0.23674076795578003, 0.21612796187400818, 1.2378112077713013, 0.8541601300239563, -0.11775551736354828, -0.3896114230155945, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ -0.029675619676709175, -0.0628594383597374, 0.05551258474588394, 0.1668720543384552, 1.0566786527633667, 0.45865410566329956, 0.1016811653971672, 1.57918119430542, 1.1230762004852295, 0.023959169164299965, -0.7123899459838867, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.055069778114557266, -0.11416774243116379, 0.06032576039433479, 0.035146377980709076, 1.1530431509017944, 0.4711795151233673, 0.11745612323284149, 1.7006345987319946, 1.1393721103668213, 0.016044186428189278, -0.7393006086349487, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.03549300879240036, -0.3215787708759308, 0.07412154227495193, -0.0014486209256574512, 0.7667436003684998, 0.23204196989536285, 0.2018679678440094, 1.197350263595581, 0.8556408286094666, -0.1488841325044632, -0.4127332270145416, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ 0.035415150225162506, -0.325722873210907, 0.07759295403957367, -0.010905491188168526, 0.7707126140594482, 0.23121339082717896, 0.20116540789604187, 1.1980030536651611, 0.8543431162834167, -0.14510232210159302, -0.41384047269821167, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
3
3
5
-1.25
5
Ses03M_impro05a_M004
Is it there?
5
anger
1.375
9,927
0.238469
-0.333333
0
0.471405
0.942809
1.247219
0
0
0
4
3
2.5
3
3
[ { "feats": [ -0.011630121618509293, -0.2518925070762634, 0.03983955830335617, 0.10445158183574677, 0.7798401713371277, 0.27301228046417236, 0.2014893740415573, 1.1869903802871704, 0.861004114151001, -0.14792194962501526, -0.4355231523513794, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.040963415056467056, -0.19816067814826965, 0.1605449914932251, -0.1296822428703308, 0.7818008661270142, 0.19680222868919373, 0.20035342872142792, 1.3597841262817383, 0.8158645033836365, -0.12016748636960983, -0.7032560110092163, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.0495273657143116, -0.19737368822097778, 0.1902296245098114, -0.11952295154333115, 0.7572793364524841, 0.2622576653957367, 0.17521320283412933, 1.3204920291900635, 0.8029226660728455, -0.15918955206871033, -0.725257933139801, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.04610660299658775, -0.2081267237663269, 0.18549689650535583, -0.13703405857086182, 0.8165714740753174, 0.1937946379184723, 0.18193769454956055, 1.4240694046020508, 0.8309159874916077, -0.11767048388719559, -0.6445583701133728, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.040330834686756134, -0.1974887102842331, 0.16732901334762573, -0.11048595607280731, 0.7777081727981567, 0.22185400128364563, 0.19766846299171448, 1.332676887512207, 0.8102277517318726, -0.13567614555358887, -0.7123216390609741, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.052006956189870834, -0.20737627148628235, 0.16579748690128326, -0.1402767300605774, 0.7973406314849854, 0.1901085078716278, 0.20719335973262787, 1.3775166273117065, 0.8191287517547607, -0.10702382773160934, -0.6834718585014343, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.08615109324455261, -0.27583402395248413, 0.10182029753923416, -0.22858232259750366, 0.9700976610183716, 0.29277774691581726, 0.2902613580226898, 1.5647213459014893, 1.018523097038269, -0.11304114758968353, -0.7697005271911621, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.14957089722156525, -0.2857341468334198, 0.05031047388911247, -0.22997455298900604, 1.0077210664749146, 0.2713213860988617, 0.32825884222984314, 1.5859943628311157, 1.0477333068847656, -0.1054176315665245, -0.8200066685676575, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.04021385684609413, -0.19790422916412354, 0.16092549264431, -0.13032694160938263, 0.7811927199363708, 0.19652877748012543, 0.1987728476524353, 1.3596915006637573, 0.8158142566680908, -0.11988196521997452, -0.7030043005943298, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.040742672979831696, -0.19806067645549774, 0.16094696521759033, -0.12985192239284515, 0.7815775275230408, 0.19666314125061035, 0.1995352804660797, 1.36018705368042, 0.8159648180007935, -0.12004053592681885, -0.7029468417167664, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
5
Ses03M_impro05a_M006
You don't know where we're at?
5
anger
0.075
8,641
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.09186041355133057, -0.19141724705696106, 0.20462767779827118, -0.09475266933441162, 0.8819975256919861, 0.24917073547840118, 0.20687158405780792, 1.4080100059509277, 0.8941116333007812, -0.17350421845912933, -0.7668185830116272, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }