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
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.1274760216474533, -0.30908554792404175, 0.17678380012512207, -0.13293050229549408, 0.6330277919769287, 0.25798454880714417, 0.07445298135280609, 1.2113072872161865, 0.8140239715576172, 0.0418538898229599, -0.6120080947875977, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.13135910034179688, -0.2964020371437073, 0.19398383796215057, -0.09632961452007294, 0.6563292145729065, 0.3028199076652527, 0.08236127346754074, 1.2143958806991577, 0.8156129717826843, 0.025167327374219894, -0.6802213788032532, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.10566884279251099, -0.32506465911865234, 0.18781009316444397, -0.13715989887714386, 0.6411890983581543, 0.22625894844532013, 0.052047114819288254, 1.2376903295516968, 0.8251575827598572, 0.046230901032686234, -0.5594861507415771, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.12705940008163452, -0.30457454919815063, 0.17932109534740448, -0.12330781668424606, 0.6453142762184143, 0.2804776728153229, 0.08433981984853745, 1.2030093669891357, 0.81413334608078, 0.032585300505161285, -0.650140106678009, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.10993670672178268, -0.31544676423072815, 0.185674250125885, -0.1278776228427887, 0.6328364014625549, 0.24063222110271454, 0.06068575754761696, 1.2193766832351685, 0.821426510810852, 0.04144197329878807, -0.5835421681404114, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.08233573287725449, -0.3055967092514038, 0.1568244993686676, -0.12716397643089294, 0.6881614327430725, 0.2571524679660797, 0.05828530713915825, 1.2340610027313232, 0.8645974397659302, 0.026604820042848587, -0.7071806788444519, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.04887724295258522, -0.3177391588687897, 0.1742914319038391, -0.15316247940063477, 0.7155618071556091, 0.2654880881309509, 0.04884124919772148, 1.2672646045684814, 0.8727359771728516, 0.002905390691012144, -0.7420724630355835, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.12754708528518677, -0.3088781237602234, 0.17718280851840973, -0.13297736644744873, 0.6332947015762329, 0.2581394612789154, 0.07432074844837189, 1.2116279602050781, 0.8142213821411133, 0.04185762256383896, -0.6118612289428711, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.12755529582500458, -0.3095396161079407, 0.17705996334552765, -0.13334237039089203, 0.6328630447387695, 0.25814157724380493, 0.07444457709789276, 1.2114018201828003, 0.8142658472061157, 0.04234873875975609, -0.6120204925537109, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro05_M026
It'll be a lot more than what you're doing sitting here and just give me lip service. I'd like to go back at least do some aggressive searching for my stuff.
1
anger
0
7,070
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.10605518519878387, -0.2983280122280121, 0.17432521283626556, -0.0964227020740509, 0.6430799961090088, 0.25919198989868164, 0.07001151144504547, 1.202497959136963, 0.8138722777366638, 0.026030438020825386, -0.6187819242477417, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.13292518258094788, -0.23444677889347076, 0.2467414289712906, -0.10403565317392349, 0.7369769811630249, 0.2854301929473877, 0.11375755816698074, 1.2699170112609863, 0.8688086271286011, -0.01650155521929264, -0.6700984239578247, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.12520641088485718, -0.16586622595787048, 0.2461986094713211, -0.07969252020120621, 0.7440705895423889, 0.32577043771743774, 0.13398773968219757, 1.25857675075531, 0.8594143390655518, -0.008643132634460926, -0.7128312587738037, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.11981649696826935, -0.23983724415302277, 0.24793943762779236, -0.12188385426998138, 0.7207784652709961, 0.2594693899154663, 0.09328252077102661, 1.295322060585022, 0.8789786100387573, -0.0034737812820822, -0.5649219155311584, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.12725691497325897, -0.2144734263420105, 0.25626105070114136, -0.0920119434595108, 0.7339422106742859, 0.299223929643631, 0.12689264118671417, 1.238585114479065, 0.8601862788200378, -0.013435786589980125, -0.6969923973083496, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.11800391227006912, -0.233534574508667, 0.24904100596904755, -0.11328581720590591, 0.7400579452514648, 0.2683807611465454, 0.1112697646021843, 1.2791730165481567, 0.8693367838859558, -0.013451454229652882, -0.6279146671295166, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.09779081493616104, -0.18278434872627258, 0.3010098338127136, -0.13592301309108734, 0.9238986968994141, 0.33416879177093506, 0.08879605680704117, 1.3234834671020508, 0.9614176750183105, -0.004077398683875799, -0.7908852100372314, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.15265098214149475, -0.26209014654159546, 0.33009088039398193, -0.17557789385318756, 1.0608420372009277, 0.33475029468536377, 0.02863064967095852, 1.5072300434112549, 1.0535917282104492, -0.026799168437719345, -0.9095152616500854, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.13320589065551758, -0.23378203809261322, 0.246412992477417, -0.1034230962395668, 0.7364493608474731, 0.285474568605423, 0.1134369820356369, 1.2699517011642456, 0.8688516020774841, -0.016375357285141945, -0.6692696809768677, -...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.13307420909404755, -0.23416024446487427, 0.24656501412391663, -0.10373703390359879, 0.7368141412734985, 0.2853921055793762, 0.11351589113473892, 1.2697316408157349, 0.8687657117843628, -0.016388045623898506, -0.6697641015052795, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4
7.5
-3.75
1
Ses01M_impro05_M027
Sure, yeah right you have plenty of aggressive searching going on, aggressive searching, drinking coffee and smoking cigarettes.
1
anger
0.075
7,071
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4
4
[ { "feats": [ 0.11496402323246002, -0.19669775664806366, 0.23465915024280548, -0.07574354857206345, 0.7183632850646973, 0.29072126746177673, 0.11200906336307526, 1.2095574140548706, 0.863824725151062, -0.01273447833955288, -0.6527479887008667, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.15896765887737274, -0.1879889965057373, 0.2524712383747101, -0.018079856410622597, 0.8284360766410828, 0.38280197978019714, 0.04615005478262901, 1.3222776651382446, 0.8953803777694702, -0.15208254754543304, -0.9831698536872864, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.13845780491828918, -0.15686461329460144, 0.2706921398639679, 0.006570557598024607, 0.8589065074920654, 0.4121466279029846, 0.07907722890377045, 1.3001384735107422, 0.9013212323188782, -0.14496897161006927, -1.0647873878479004, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.13999278843402863, -0.2616099715232849, 0.2623733878135681, -0.05115857720375061, 0.8395116925239563, 0.35146787762641907, 0.05161270126700401, 1.3430136442184448, 0.8781929016113281, -0.13592050969600677, -0.8911228179931641, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.15545743703842163, -0.1557297557592392, 0.260405957698822, -0.007437788415700197, 0.8375870585441589, 0.3860863745212555, 0.05868633836507797, 1.308159351348877, 0.8873718976974487, -0.16087177395820618, -1.0221381187438965, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.15851667523384094, -0.1910465508699417, 0.2648199498653412, -0.015291167423129082, 0.8611732721328735, 0.37397319078445435, 0.028142781928181648, 1.3709499835968018, 0.9027335047721863, -0.1613493412733078, -0.964274525642395, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.2067994922399521, -0.28935110569000244, 0.20776496827602386, -0.07092644274234772, 0.9376052021980286, 0.3822854161262512, 0.05538239702582359, 1.2969863414764404, 0.9607001543045044, -0.03581862151622772, -1.155744194984436, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.20046266913414001, -0.29813140630722046, 0.233728289604187, -0.11284147202968597, 1.0916743278503418, 0.4005572199821472, 0.07268618047237396, 1.3740031719207764, 1.044180154800415, -0.05266660824418068, -1.295711636543274, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.1575375199317932, -0.1886187642812729, 0.25328585505485535, -0.017681647092103958, 0.829041600227356, 0.3831685185432434, 0.04627137631177902, 1.322560429573059, 0.8953980207443237, -0.15148435533046722, -0.9831887483596802, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.15826201438903809, -0.18781816959381104, 0.2529282867908478, -0.01795034483075142, 0.8284664154052734, 0.3827478587627411, 0.046249836683273315, 1.3227864503860474, 0.8955463767051697, -0.1514057070016861, -0.983045220375061, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro05_M028
I know what you guys do when you're not working you're union people; you just sit around on your ass.
1
anger
0
9,428
0.278257
-0.333333
0
0.471405
0.816497
0.816497
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.08748708665370941, -0.15852785110473633, 0.3091183006763458, 0.006385010667145252, 0.862263560295105, 0.39622023701667786, 0.056922707706689835, 1.3127297163009644, 0.91241455078125, -0.1584511697292328, -1.025895118713379, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.19603033363819122, -0.14722803235054016, 0.21874785423278809, -0.04517868161201477, 0.9734854698181152, 0.6341020464897156, 0.18733423948287964, 1.6067413091659546, 0.9512119889259338, -0.06264884769916534, -0.9878830313682556, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.21636952459812164, -0.08799003809690475, 0.2090989351272583, -0.019090278074145317, 1.042443037033081, 0.7345245480537415, 0.16615556180477142, 1.6635624170303345, 1.0209745168685913, -0.10427851974964142, -1.099074125289917, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.07008211314678192, -0.20202434062957764, 0.20875431597232819, 0.03336406871676445, 1.011592149734497, 0.5894016027450562, 0.09129470586776733, 1.7125312089920044, 1.0186671018600464, -0.03303411230444908, -0.8998669981956482, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.20372337102890015, -0.11416284739971161, 0.23641158640384674, -0.07558826357126236, 1.0010778903961182, 0.6681724190711975, 0.2001320868730545, 1.6056108474731445, 0.9490640163421631, -0.06146020442247391, -1.0627597570419312, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.15578164160251617, -0.16506247222423553, 0.2159835547208786, -0.030896279960870743, 0.9798567295074463, 0.5998615026473999, 0.15552563965320587, 1.636664628982544, 0.9537543058395386, -0.037744276225566864, -0.9525520205497742, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.195661261677742, -0.15779849886894226, 0.13258178532123566, -0.056063879281282425, 1.1651859283447266, 0.6107264757156372, 0.17471660673618317, 1.6757079362869263, 1.1634721755981445, -0.005411099176853895, -1.276405930519104, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.2554965615272522, -0.18491482734680176, 0.11177557706832886, -0.1295282393693924, 1.244519591331482, 0.6063694357872009, 0.2574229836463928, 1.803516149520874, 1.101208209991455, 0.14097271859645844, -1.374180793762207, -0.20...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.19449545443058014, -0.14618194103240967, 0.2158941775560379, -0.0437677726149559, 0.973406195640564, 0.6346731781959534, 0.1850529909133911, 1.6066462993621826, 0.9517170190811157, -0.06233774870634079, -0.9871950149536133, 0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.1941305696964264, -0.14769043028354645, 0.21744677424430847, -0.04518582671880722, 0.9723480939865112, 0.6337001919746399, 0.18657788634300232, 1.6061617136001587, 0.9499893188476562, -0.06223062798380852, -0.986901044845581, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1
5
4.5
10
-5
1
Ses01M_impro05_M031
Thank you very much.
1
anger
0
732
0.647938
null
null
0
0
0.816497
null
null
0
4
3
1
5
4.5
[ { "feats": [ 0.08601272851228714, -0.12095490097999573, 0.22466491162776947, -0.017501888796687126, 0.9723578691482544, 0.6416435837745667, 0.10526502132415771, 1.5659303665161133, 0.9613862633705139, -0.09768644720315933, -1.0024633407592773, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.2501486837863922, -0.22828850150108337, 0.23647861182689667, -0.10837584733963013, 1.1427521705627441, 0.5379432439804077, 0.08776623755693436, 1.2766185998916626, 0.8508121967315674, -0.07926517724990845, -1.4280142784118652, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.23256774246692657, -0.2316402643918991, 0.21582551300525665, -0.08568970113992691, 1.2390414476394653, 0.5657471418380737, 0.09945016354322433, 1.295997977256775, 0.8649880886077881, -0.07727082818746567, -1.529365062713623, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.22339904308319092, -0.2679257392883301, 0.22750753164291382, -0.1155618354678154, 1.0605764389038086, 0.4947810173034668, 0.0709361806511879, 1.1743619441986084, 0.8525990843772888, -0.08620040863752365, -1.290217638015747, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.2441173940896988, -0.23204305768013, 0.21198897063732147, -0.08922208845615387, 1.1481523513793945, 0.5394580364227295, 0.11347011476755142, 1.2481659650802612, 0.8353824615478516, -0.07406876981258392, -1.4529949426651, -0.0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.249403178691864, -0.2418626844882965, 0.2406768500804901, -0.10108678787946701, 1.1030579805374146, 0.5258893370628357, 0.09687657654285431, 1.2475862503051758, 0.8692337870597839, -0.07278077304363251, -1.3599752187728882, -...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.24203620851039886, -0.2710265815258026, 0.1697659194469452, -0.1246618703007698, 1.572632074356079, 0.49272653460502625, 0.06887210160493851, 1.6177830696105957, 1.10858154296875, -0.014846188947558403, -1.9432796239852905, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.2547794580459595, -0.16753166913986206, 0.19455869495868683, -0.18843403458595276, 1.7523800134658813, 0.5486547946929932, 0.1290304958820343, 1.9174842834472656, 1.2340525388717651, 0.06074216216802597, -2.026494026184082, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.2501336336135864, -0.22857651114463806, 0.23584693670272827, -0.10848945379257202, 1.141526699066162, 0.5371420383453369, 0.08955106139183044, 1.2747938632965088, 0.8513755202293396, -0.07989569008350372, -1.4249306917190552, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.24926134943962097, -0.22845080494880676, 0.23612059652805328, -0.10820160061120987, 1.1419026851654053, 0.5372244119644165, 0.08748038113117218, 1.2743462324142456, 0.8503673672676086, -0.07956258207559586, -1.4263979196548462, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.3333
2.3333
2.6667
3.33325
-1.66675
2
Ses01M_script01_1_F008
He's dreaming about him again, walking the streets.
2
anger
2.111109
9,493
0.272141
-0.5
0
0.471405
0.471405
1.247219
0
0
0
3
3
2.3333
2.3333
2.6667
[ { "feats": [ 0.2739643156528473, -0.24934381246566772, 0.2447647750377655, -0.06781415641307831, 1.2813118696212769, 0.559634268283844, 0.0342976450920105, 1.3314083814620972, 0.8962487578392029, -0.06258972734212875, -1.527680516242981, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.10070758312940598, -0.2110966145992279, 0.16743135452270508, -0.16892622411251068, 0.7883318066596985, 0.4951118528842926, 0.1478174477815628, 1.1201086044311523, 0.7913607358932495, -0.07177679985761642, -1.110974669456482, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.0397687703371048, -0.18957917392253876, 0.1612270623445511, -0.11821182817220688, 0.7658440470695496, 0.5093115568161011, 0.13152721524238586, 1.0387483835220337, 0.7432888150215149, -0.07595851272344589, -1.1392381191253662, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.06595338135957718, -0.21596433222293854, 0.13926160335540771, -0.14197596907615662, 0.7391430139541626, 0.4521391689777374, 0.13851764798164368, 1.0977988243103027, 0.7927677035331726, -0.09346964955329895, -0.9965799450874329, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.09070479869842529, -0.2165728509426117, 0.17445184290409088, -0.15534664690494537, 0.8148300647735596, 0.523628294467926, 0.15300816297531128, 1.1273655891418457, 0.7866373658180237, -0.06793475151062012, -1.1503527164459229, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.09643775969743729, -0.22812730073928833, 0.16259443759918213, -0.16526170074939728, 0.7917050719261169, 0.48436981439590454, 0.14831921458244324, 1.1321988105773926, 0.8025751113891602, -0.07530853152275085, -1.0682286024093628, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.03630291298031807, -0.2813703119754791, 0.11514757573604584, -0.18361341953277588, 0.9561001062393188, 0.4447786808013916, 0.12151797860860825, 1.2813438177108765, 0.8673076033592224, 0.023472735658288002, -1.2548601627349854, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.09180442988872528, -0.29816994071006775, 0.16177406907081604, -0.2272435575723648, 1.1496256589889526, 0.48208457231521606, 0.1483975648880005, 1.4450397491455078, 0.9679583311080933, 0.07530473917722702, -1.400311827659607, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.09896016865968704, -0.21102949976921082, 0.16643676161766052, -0.16757038235664368, 0.7863178253173828, 0.49530038237571716, 0.14668656885623932, 1.1166332960128784, 0.7904384732246399, -0.07280412316322327, -1.1097283363342285, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.099969781935215, -0.2110084593296051, 0.1669410616159439, -0.16834358870983124, 0.7876074314117432, 0.49512332677841187, 0.1471455991268158, 1.118179440498352, 0.7909089922904968, -0.07218089699745178, -1.1103591918945312, 0....
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.3333
3.3333
3.3333
5.83325
-1.66675
2
Ses01M_script01_1_F011
What do you mean a mistake?
2
anger
0.844449
8,740
0.293884
-0.5
0
0.471405
0.471405
0.942809
0
0
0
3
3
2.3333
3.3333
3.3333
[ { "feats": [ 0.02720062807202339, -0.1812475472688675, 0.16172315180301666, -0.11960091441869736, 0.7257245779037476, 0.4729674756526947, 0.1151367723941803, 1.006009817123413, 0.7657453417778015, -0.11050450056791306, -1.066402554512024, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ 0.008880575187504292, -0.24421915411949158, 0.2142029106616974, 0.007242483086884022, 0.883324384689331, 0.4458424150943756, 0.1733155995607376, 1.2913923263549805, 0.8027120232582092, -0.0730944573879242, -1.0508911609649658, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.039521731436252594, -0.18988971412181854, 0.21171462535858154, 0.04762955754995346, 0.887368381023407, 0.46835577487945557, 0.16076594591140747, 1.1966559886932373, 0.7831063866615295, -0.07357708364725113, -1.0948514938354492, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.019964775070548058, -0.24878829717636108, 0.20723922550678253, 0.019043395295739174, 0.8963446617126465, 0.4254471957683563, 0.1731235831975937, 1.330998182296753, 0.8256713151931763, -0.08771457523107529, -1.0105364322662354, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.012798702344298363, -0.2253124862909317, 0.20752857625484467, 0.031213004142045975, 0.8740291595458984, 0.45539167523384094, 0.17148515582084656, 1.221897006034851, 0.7818450927734375, -0.07542804628610611, -1.0703762769699097, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.009249583818018436, -0.2464505434036255, 0.2128921002149582, 0.01863684132695198, 0.8808236122131348, 0.4287815988063812, 0.17890353500843048, 1.3071779012680054, 0.8137690424919128, -0.08761706203222275, -1.0259944200515747, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.12540361285209656, -0.18337444961071014, 0.20487408339977264, -0.03310820087790489, 1.052709937095642, 0.4595419764518738, 0.18431122601032257, 1.357204794883728, 0.877738893032074, -0.03964093700051308, -1.226895809173584, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.12326931953430176, -0.2015906572341919, 0.2145952731370926, -0.030792955309152603, 1.181050419807434, 0.4908713102340698, 0.19337990880012512, 1.4766179323196411, 0.9322991371154785, -0.025164950639009476, -1.3656688928604126, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ 0.00699108000844717, -0.2430477738380432, 0.21394853293895721, 0.008775838650763035, 0.8847726583480835, 0.4473530948162079, 0.17356976866722107, 1.2923232316970825, 0.8036229014396667, -0.07362274080514908, -1.051962971687317, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ 0.00800306349992752, -0.24369797110557556, 0.21417948603630066, 0.008046579547226429, 0.8841589093208313, 0.44667941331863403, 0.17355278134346008, 1.2918872833251953, 0.8032689094543457, -0.07335202395915985, -1.0512003898620605, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.6667
3.3333
4
5.83325
-3.33325
2
Ses01M_script01_1_F014
What, can you prove it? What proof do you have? Can you prove it?
2
anger
0.422251
6,684
0.353391
null
null
0.471405
0.471405
0.816497
0
0
0
3
3
1.6667
3.3333
4
[ { "feats": [ -0.06479773670434952, -0.1965264230966568, 0.21848765015602112, 0.057369742542505264, 0.9435065984725952, 0.46307459473609924, 0.15249407291412354, 1.2705804109573364, 0.8331500887870789, -0.11603061109781265, -1.071805477142334, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.17307336628437042, -0.1825251579284668, 0.2635453939437866, -0.0895029827952385, 0.7333400845527649, 0.44763338565826416, 0.12826064229011536, 1.2216205596923828, 0.8191639184951782, 0.01086894515901804, -1.012899398803711, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.14090728759765625, -0.13308000564575195, 0.24176794290542603, -0.03823333606123924, 0.7200051546096802, 0.4692140519618988, 0.13019366562366486, 1.180407166481018, 0.7862403988838196, -0.011557372286915779, -1.028568148612976, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.13723745942115784, -0.16433453559875488, 0.29905349016189575, -0.09316248446702957, 0.7331446409225464, 0.4296923875808716, 0.09647146612405777, 1.2462750673294067, 0.8446996212005615, -0.008991186507046223, -0.9609805941581726, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.1713259220123291, -0.1646515429019928, 0.24253691732883453, -0.06604423373937607, 0.725059986114502, 0.45966172218322754, 0.12786497175693512, 1.1810857057571411, 0.7968920469284058, -0.002804974326863885, -1.0168288946151733, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.15248742699623108, -0.1767023801803589, 0.28753387928009033, -0.09503622353076935, 0.7389469146728516, 0.44332993030548096, 0.12032729387283325, 1.2331833839416504, 0.8363218307495117, 0.000507918419316411, -1.0030635595321655, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.06524042785167694, -0.1504228115081787, 0.2794477939605713, -0.06652387231588364, 0.7992372512817383, 0.431379109621048, 0.06897569447755814, 1.2582411766052246, 0.8426230549812317, -0.041248057037591934, -1.192952275276184, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.06105061620473862, -0.1885407418012619, 0.2836057245731354, -0.11902645230293274, 0.9684784412384033, 0.4665605127811432, 0.08256787806749344, 1.4233933687210083, 0.9030474424362183, -0.050666842609643936, -1.3532379865646362, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.17180444300174713, -0.18070386350154877, 0.26426494121551514, -0.08817031234502792, 0.733543336391449, 0.4481426775455475, 0.12808164954185486, 1.2219512462615967, 0.8197082877159119, 0.009290553629398346, -1.013392448425293, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.17240984737873077, -0.1818145513534546, 0.26367080211639404, -0.08882632851600647, 0.7332668900489807, 0.44777488708496094, 0.12817612290382385, 1.2215168476104736, 0.8193829655647278, 0.010145586915314198, -1.0128958225250244, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
3.3333
4.3333
5.83325
-2.5
2
Ses01M_script01_1_F015
To you it is, to me it is. But to your father? You can talk yourself 'til you're blue in the face but there's was no grave and there is no body. So where are you?
2
anger
0.533357
9,546
0.269235
-0.5
0
0.816497
0.471405
0.942809
0
0
0
3
3
2
3.3333
4.3333
[ { "feats": [ 0.1027960255742073, -0.1318698525428772, 0.25384458899497986, -0.02838665060698986, 0.7065271139144897, 0.4312470257282257, 0.10686345398426056, 1.1840068101882935, 0.8177189230918884, -0.019846787676215172, -1.0059617757797241, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.11033131927251816, -0.1690036952495575, 0.12206078320741653, -0.11917237937450409, 0.5645836591720581, 0.30244967341423035, 0.07031489908695221, 1.308118224143982, 0.7901966571807861, -0.06427744776010513, -0.6710930466651917, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.08444709330797195, -0.1309732049703598, 0.12513217329978943, -0.07265454530715942, 0.5752702951431274, 0.3289377689361572, 0.09088343381881714, 1.2751210927963257, 0.7731969356536865, -0.07542825490236282, -0.7384949326515198, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.07395177334547043, -0.17924508452415466, 0.12241434305906296, -0.13010168075561523, 0.5848814249038696, 0.2948839068412781, 0.052370939403772354, 1.347434401512146, 0.8226131796836853, -0.04938601329922676, -0.6186308264732361, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.10806938260793686, -0.15845713019371033, 0.11866888403892517, -0.09282472729682922, 0.5665829181671143, 0.30700740218162537, 0.07018328458070755, 1.2867677211761475, 0.7762982845306396, -0.07227423042058945, -0.7016014456748962, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.10036680102348328, -0.18146808445453644, 0.11689940840005875, -0.1239699050784111, 0.5760418772697449, 0.301606148481369, 0.06010771542787552, 1.332161784172058, 0.8086898922920227, -0.057930558919906616, -0.6463614106178284, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.08602847158908844, -0.1642211228609085, 0.1300014853477478, -0.11657067388296127, 0.5775948762893677, 0.3097677528858185, 0.08370940387248993, 1.2673271894454956, 0.784044623374939, -0.039350394159555435, -0.7626503705978394, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.05559585988521576, -0.19592058658599854, 0.17159512639045715, -0.13844633102416992, 0.677750825881958, 0.3425886332988739, 0.08079969882965088, 1.3249285221099854, 0.8438040018081665, -0.07595644146203995, -0.8734387755393982, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.10979697108268738, -0.16853812336921692, 0.1219874918460846, -0.11941038817167282, 0.5648683905601501, 0.30275169014930725, 0.07023783028125763, 1.3083748817443848, 0.790510892868042, -0.06445790827274323, -0.6709393858909607, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.10987529158592224, -0.1683690994977951, 0.12184510380029678, -0.11871225386857986, 0.56358802318573, 0.301570862531662, 0.0711430013179779, 1.3060731887817383, 0.7895627021789551, -0.06412670016288757, -0.6704065799713135, 0....
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.6667
4.3333
4.3333
8.33325
-3.33325
2
Ses01M_script01_1_F016
The trouble is those god damn news papers. Every month some boy comes back missing longer then Larry so--
2
anger
0.022231
6,726
0.342865
null
null
0.471405
0.471405
0.942809
0
0
0
3
3
1.6667
4.3333
4.3333
[ { "feats": [ 0.0735543891787529, -0.15784865617752075, 0.1427270919084549, -0.06405051052570343, 0.5927619934082031, 0.3222370743751526, 0.055804260075092316, 1.3055548667907715, 0.8000605702400208, -0.06902314722537994, -0.6959982514381409, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.13680486381053925, -0.3022938370704651, 0.11704722791910172, -0.0478215329349041, 1.072649359703064, 0.4807076156139374, 0.059190891683101654, 1.339158296585083, 1.0462441444396973, 0.04541587457060814, -1.1990249156951904, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.1140780970454216, -0.36200278997421265, 0.18892085552215576, -0.05206042900681496, 1.23727548122406, 0.5158985257148743, 0.12752953171730042, 1.428424596786499, 1.0363211631774902, 0.06690467894077301, -1.3126834630966187, -0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.052873946726322174, -0.31932759284973145, 0.09619532525539398, -0.03385716304183006, 1.0567511320114136, 0.4000498652458191, 0.05879386514425278, 1.3494259119033813, 1.0308853387832642, 0.05901315435767174, -1.065847635269165, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.17017830908298492, -0.3429758548736572, 0.15402749180793762, -0.06540676206350327, 1.090853214263916, 0.49732059240341187, 0.09200689196586609, 1.2878774404525757, 0.995275616645813, 0.07107678055763245, -1.2697227001190186, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.1300288587808609, -0.32364681363105774, 0.10237476974725723, -0.038614287972450256, 1.0216361284255981, 0.4258319139480591, 0.05440640076994896, 1.2579894065856934, 1.0024827718734741, 0.063956119120121, -1.1490124464035034, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.19993847608566284, -0.4280484616756439, 0.06648852676153183, -0.20604395866394043, 1.5027614831924438, 0.45577889680862427, 0.1434773951768875, 1.6913105249404907, 1.2213305234909058, 0.14081989228725433, -1.5588186979293823, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.27835988998413086, -0.41870173811912537, 0.14523553848266602, -0.26710045337677, 1.6296501159667969, 0.5002084374427795, 0.2060483992099762, 1.819698691368103, 1.277811884880066, 0.17565330862998962, -1.650039553642273, -0.03...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.13557982444763184, -0.3079501986503601, 0.12150751054286957, -0.04868057370185852, 1.0808669328689575, 0.48403942584991455, 0.058392059057950974, 1.3491917848587036, 1.0490883588790894, 0.044016189873218536, -1.1952368021011353, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.13320352137088776, -0.301516056060791, 0.1167929396033287, -0.046234868466854095, 1.0740352869033813, 0.4803348481655121, 0.05949906259775162, 1.3405535221099854, 1.0476861000061035, 0.045287374407052994, -1.1980222463607788, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
2.3333
2.6667
3.33325
-2.5
2
Ses01M_script01_1_F017
Why?
2
anger
1.888914
5,565
0.380997
null
null
0
0.942809
1.247219
null
0
0
3
3
2
2.3333
2.6667
[ { "feats": [ 0.14467203617095947, -0.376693457365036, 0.1730712652206421, -0.02092798426747322, 1.0566115379333496, 0.44083505868911743, 0.06331436336040497, 1.2828551530838013, 0.9310585260391235, 0.0851840227842331, -1.2006244659423828, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }