label
int64
0
3
valence
float64
1
5
arousal
float64
1
5
arousal_norm
float64
0
10
valence_norm
float64
-5
5
speakerID
int64
947
959
utterance
stringlengths
30
30
transcript
stringlengths
2
505
emotion
stringclasses
4 values
difficulty
float64
0
6.26
curriculum_order
int64
1
8.44k
overall_agreement
float64
0.12
0.75
fleiss_kappa
float64
-0.25
-0.02
krippendorff_alpha
float64
-0
0
valence_std
float64
0
1.96
arousal_std
float64
0
1.74
dominance_std
float64
0
1.83
valence_icc
float64
0
0
arousal_icc
float64
0
0
dominance_icc
float64
0
0
n_categorical_evaluators
int64
5
50
n_dimensional_evaluators
int64
5
50
consensus_valence
float64
1
5
consensus_arousal
float64
1
5
consensus_dominance
float64
1
5
naturalness_std
float64
0
1.96
naturalness_icc
float64
0
0
consensus_naturalness
float64
1
5
emotion2vec_features
listlengths
1
1
augmentation
stringclasses
10 values
augmentation_type
stringclasses
5 values
augmentation_params
dict
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.03991122543811798, -0.2747786343097687, 0.08502459526062012, -0.05179957300424576, 0.7719329595565796, 0.3300601541996002, 0.15053991973400116, 1.1101866960525513, 0.8571968674659729, -0.01045696809887886, -0.8220583200454712, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.05713875591754913, -0.25478920340538025, 0.11065231263637543, -0.048553481698036194, 0.8009078502655029, 0.36079633235931396, 0.16477932035923004, 1.1389626264572144, 0.8513128161430359, 0.018499931320548058, -0.8976020812988281, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.04773213341832161, -0.2793416976928711, 0.06737546622753143, -0.05789997801184654, 0.7783803939819336, 0.30864694714546204, 0.11765313893556595, 1.1142382621765137, 0.8646740317344666, -0.010714086703956127, -0.767593502998352, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.03358150273561478, -0.25937575101852417, 0.08365524560213089, -0.04557562991976738, 0.7866083979606628, 0.34113791584968567, 0.15451185405254364, 1.1480458974838257, 0.8484294414520264, 0.007237633690237999, -0.8475751280784607, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.057629890739917755, -0.2759343087673187, 0.067544125020504, -0.04573187232017517, 0.776289701461792, 0.3181890547275543, 0.13631094992160797, 1.1286649703979492, 0.8598402142524719, -0.013122730888426304, -0.7923487424850464, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.0438954122364521, -0.2718736231327057, 0.14683759212493896, -0.1425342857837677, 0.8670910000801086, 0.3209018111228943, 0.11253765970468521, 1.1511296033859253, 0.9726685285568237, 0.03052527643740177, -0.9196861386299133, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.06600049883127213, -0.26136693358421326, 0.1974133402109146, -0.1260174810886383, 0.919559895992279, 0.3172334134578705, 0.1094432920217514, 1.2410430908203125, 1.017372965812683, 0.029918739572167397, -0.9184070825576782, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.039775390177965164, -0.2752549946308136, 0.08545540273189545, -0.05216662213206291, 0.7721567749977112, 0.3302324712276459, 0.15025289356708527, 1.110694408416748, 0.8575493097305298, -0.010684007778763771, -0.8221514225006104, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.03988342359662056, -0.27504369616508484, 0.0851888433098793, -0.051778215914964676, 0.7719894051551819, 0.32998764514923096, 0.15032410621643066, 1.1103026866912842, 0.8573299050331116, -0.010507714934647083, -0.822108805179596, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.4
4.6
2.571429
1
958
MSP-IMPROV-S10A-F04-S-FM01.wav
So remember that job opportunity that I gave my friend.
neutral
1.403
7,352
0.232284
-0.25
0
0.8
0.489898
0.979796
0
0
0
5
5
3.4
4.6
3.2
1.549193
0
4
[ { "feats": [ 0.03955652937293053, -0.2636995315551758, 0.108168825507164, -0.008535337634384632, 0.7920393347740173, 0.34930089116096497, 0.15783248841762543, 1.1247295141220093, 0.8600740432739258, -0.0007661184063181281, -0.8368598818778992, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.045599453151226044, -0.19295577704906464, 0.05536121502518654, -0.016306372359395027, 0.8663723468780518, 0.3894427716732025, 0.043532319366931915, 1.2839452028274536, 0.8973714113235474, -0.007512377109378576, -1.0050876140594482...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.01193862035870552, -0.12743045389652252, 0.05781443789601326, 0.028789980337023735, 0.9143019318580627, 0.4400330185890198, 0.07080820947885513, 1.3370314836502075, 0.9057755470275879, -0.015651408582925797, -1.0727161169052124, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.06759663671255112, -0.19381581246852875, 0.05460117757320404, -0.04248698428273201, 0.8636832237243652, 0.34484148025512695, 0.03576876223087311, 1.2709519863128662, 0.9128097295761108, -0.01811911165714264, -0.9284644722938538, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.04340701922774315, -0.15028078854084015, 0.05358242243528366, 0.018732644617557526, 0.9134681820869446, 0.41581839323043823, 0.05867617204785347, 1.3492085933685303, 0.9104045033454895, -0.01785637065768242, -1.0430740118026733, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.06689731776714325, -0.18799816071987152, 0.06373010575771332, -0.011020008474588394, 0.8730224967002869, 0.37234440445899963, 0.039417386054992676, 1.2878035306930542, 0.9015573859214783, -0.01677047088742256, -0.975883424282074, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ 0.02137615904211998, -0.19651761651039124, 0.09219598025083542, -0.10391321033239365, 1.0254755020141602, 0.43043234944343567, 0.11783541738986969, 1.4215251207351685, 1.0149545669555664, 0.06641504168510437, -1.16724693775177, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ 0.044975973665714264, -0.2236662358045578, 0.14592058956623077, -0.14982911944389343, 1.1734784841537476, 0.4969536066055298, 0.15274935960769653, 1.5615700483322144, 1.089010238647461, 0.12533338367938995, -1.2388583421707153, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.04527588561177254, -0.1931612491607666, 0.05547583848237991, -0.01630818471312523, 0.8662834167480469, 0.3896103799343109, 0.04359974339604378, 1.2839183807373047, 0.8977851271629333, -0.007432390935719013, -1.0053088665008545, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.04562586173415184, -0.19299888610839844, 0.05532205104827881, -0.01629701815545559, 0.8660319447517395, 0.3892504870891571, 0.0435611829161644, 1.2835501432418823, 0.8973103165626526, -0.0077852047979831696, -1.0052248239517212, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.35
3.2
1.571429
-1.625
958
MSP-IMPROV-S10A-F04-T-FM01.wav
I don't know how she can miss this opportunity.
anger
0.86825
5,922
0.258727
-0.052632
0
0.47697
0.927362
0.830662
0
0
0
20
20
2.35
3.2
3.1
1.107926
0
3.85
[ { "feats": [ -0.06344839185476303, -0.11173166334629059, 0.01879972591996193, 0.021920405328273773, 0.9594946503639221, 0.44850629568099976, 0.06019395962357521, 1.3488109111785889, 0.9802395105361938, -0.05624491721391678, -1.1304785013198853, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.03302763029932976, -0.1032123938202858, 0.15179918706417084, -0.03389527276158333, 0.798866331577301, 0.4105874001979828, 0.08425839990377426, 1.1579700708389282, 0.7964500188827515, 0.01031277235597372, -1.0375293493270874, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.023871826007962227, -0.11589012295007706, 0.14622381329536438, -0.042992811650037766, 0.8635419011116028, 0.4631325900554657, 0.08169308304786682, 1.206439733505249, 0.8022896647453308, -0.002564208349213004, -1.1223042011260986, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.06926407665014267, -0.10289659351110458, 0.1354190707206726, -0.02474304661154747, 0.7929638028144836, 0.3750920295715332, 0.07406109571456909, 1.164225459098816, 0.8093664646148682, -0.0006397626711986959, -0.9851660132408142, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.02795802429318428, -0.10182267427444458, 0.13971742987632751, -0.029859444126486778, 0.8313865065574646, 0.4365711808204651, 0.08119489252567291, 1.1887463331222534, 0.7940067648887634, 0.008253088220953941, -1.0745978355407715, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.04451807960867882, -0.09114006161689758, 0.1294827163219452, -0.018645629286766052, 0.7931349873542786, 0.3973153233528137, 0.07223881781101227, 1.1484825611114502, 0.8011307120323181, -0.0028798175044357777, -1.013599157333374, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ 0.13981296122074127, -0.1761101633310318, 0.25556978583335876, -0.1384766846895218, 1.28499436378479, 0.5245154500007629, 0.03350549563765526, 1.6236969232559204, 1.0946156978607178, -0.002397943288087845, -1.4998688697814941, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ 0.127469003200531, -0.196859672665596, 0.3643571734428406, -0.2237095832824707, 1.6684094667434692, 0.7040979862213135, 0.219318687915802, 2.1878483295440674, 1.200627088546753, -0.14164316654205322, -1.5857924222946167, -0.010...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.032579418271780014, -0.10425400733947754, 0.15173284709453583, -0.03301851078867912, 0.7992902994155884, 0.4108200669288635, 0.08436108380556107, 1.1584969758987427, 0.7964299917221069, 0.010861423797905445, -1.0380326509475708, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.03296927362680435, -0.10290514677762985, 0.15151794254779816, -0.03431278094649315, 0.7994002103805542, 0.4107086658477783, 0.08446124196052551, 1.1571680307388306, 0.7965754270553589, 0.009916292503476143, -1.0374329090118408, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.833333
4.333333
2.380952
-0.416667
951
MSP-IMPROV-S10A-F05-P-FM01.wav
I don't know how she could miss this opportunity.
neutral
1.022222
4,328
0.282422
-0.2
0
0.372678
0.471405
0.5
0
0
0
6
6
2.833333
4.333333
2.5
1.57233
0
2.833333
[ { "feats": [ -0.03754188492894173, -0.0908496230840683, 0.18111367523670197, -0.006928484421223402, 0.9270719885826111, 0.4576081335544586, 0.06179231032729149, 1.2488389015197754, 0.8610116243362427, 0.0005722331698052585, -1.1526983976364136, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.04378272593021393, -0.14793835580348969, 0.14656956493854523, -0.03791318088769913, 0.7858617901802063, 0.4161330461502075, 0.12761373817920685, 1.0542536973953247, 0.6994431614875793, -0.03950471431016922, -1.1817097663879395, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.042230602353811264, -0.10696668177843094, 0.16778188943862915, -0.02976423315703869, 0.8536208271980286, 0.48942896723747253, 0.1643935739994049, 1.0788780450820923, 0.7113062739372253, -0.05776264891028404, -1.3290125131607056, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.05067521333694458, -0.13482113182544708, 0.13467548787593842, -0.05404512956738472, 0.865281343460083, 0.41607266664505005, 0.13167963922023773, 1.1001306772232056, 0.7305422425270081, -0.05369850993156433, -1.241707682609558, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.0541941374540329, -0.10747962445020676, 0.1672685742378235, -0.03370543196797371, 0.8896865844726562, 0.4848451614379883, 0.14758163690567017, 1.1049549579620361, 0.7384747862815857, -0.06636325269937515, -1.3364468812942505, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.05367444455623627, -0.12814097106456757, 0.14220091700553894, -0.04798587039113045, 0.8599406480789185, 0.43582895398139954, 0.12464792281389236, 1.0908702611923218, 0.7354328036308289, -0.06003236025571823, -1.262984275817871, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.014427022077143192, -0.11967915296554565, 0.1538742184638977, -0.09108076244592667, 0.91650390625, 0.5392583608627319, 0.13478147983551025, 1.133161187171936, 0.7942481637001038, -0.03301825746893883, -1.4339474439620972, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.0549684502184391, -0.1483686864376068, 0.189785435795784, -0.09926758706569672, 1.0726139545440674, 0.551717221736908, 0.1440054029226303, 1.2531129121780396, 0.844631016254425, -0.09669627249240875, -1.5906531810760498, 0.1...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.0437309592962265, -0.14800135791301727, 0.14622552692890167, -0.037893280386924744, 0.7847188115119934, 0.41566866636276245, 0.12754693627357483, 1.0535180568695068, 0.6991573572158813, -0.03932053968310356, -1.1809011697769165, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.04231458157300949, -0.15500152111053467, 0.14903020858764648, -0.03955221176147461, 0.8131033778190613, 0.428303986787796, 0.1307447999715805, 1.0752860307693481, 0.7118512392044067, -0.04031692072749138, -1.1975390911102295, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.8
1.8
0.571429
-3
951
MSP-IMPROV-S10A-F05-R-FF01.wav
I don't know how she could miss this opportunity.
anger
2.232
2,933
0.303741
-0.25
0
0.748331
0.4
0.489898
0
0
0
5
5
1.8
1.8
4.4
0.894427
0
2
[ { "feats": [ -0.06188395991921425, -0.12386013567447662, 0.14963608980178833, -0.02770429477095604, 0.9585472345352173, 0.4889010787010193, 0.14220774173736572, 1.1624326705932617, 0.7719481587409973, -0.07570444792509079, -1.4176483154296875, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.08020856231451035, -0.16491366922855377, 0.15535151958465576, 0.03237341344356537, 0.7367616295814514, 0.4396493434906006, 0.10985514521598816, 1.2805918455123901, 0.7777208685874939, 0.014311932027339935, -0.8873761892318726, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.07604902237653732, -0.1482027918100357, 0.1400543451309204, 0.0311794001609087, 0.7378405332565308, 0.4778512418270111, 0.10753384977579117, 1.2449461221694946, 0.767484188079834, -0.015317629091441631, -0.9924888014793396, 0...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.09237929433584213, -0.17489559948444366, 0.15612228214740753, 0.03227830305695534, 0.744296133518219, 0.41222843527793884, 0.10427769273519516, 1.2872159481048584, 0.7900819182395935, 0.011821958236396313, -0.8565754890441895, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.08513443171977997, -0.14855828881263733, 0.15044298768043518, 0.03773050382733345, 0.7376436591148376, 0.4601590931415558, 0.09856782853603363, 1.2686048746109009, 0.7745127081871033, 0.00041053295717574656, -0.9391835331916809, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.09277652949094772, -0.16833290457725525, 0.1612091064453125, 0.03354189172387123, 0.7533827424049377, 0.4272500276565552, 0.09909798949956894, 1.3040539026260376, 0.7921549677848816, 0.012533980421721935, -0.87741619348526, 0...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.08148396760225296, -0.20241665840148926, 0.15679790079593658, -0.0036006481386721134, 0.8824762105941772, 0.504928469657898, 0.09218159317970276, 1.337544560432434, 0.8632789850234985, -0.03026275895535946, -1.1406970024108887, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.12091866880655289, -0.2388211339712143, 0.19551272690296173, -0.006817725487053394, 0.9143902659416199, 0.4947473704814911, 0.08968598395586014, 1.4320091009140015, 0.8851255178451538, -0.03502663969993591, -1.1569682359695435, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.07999644428491592, -0.16504839062690735, 0.15531207621097565, 0.032462913542985916, 0.7371498346328735, 0.4398774802684784, 0.1099109873175621, 1.2808189392089844, 0.7778564691543579, 0.014079492539167404, -0.8874346017837524, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.08010582625865936, -0.1648939847946167, 0.1554013043642044, 0.03244898468255997, 0.7368567585945129, 0.4397171139717102, 0.11007147282361984, 1.280735731124878, 0.7778432965278625, 0.014101332053542137, -0.8874096870422363, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.333333
3.166667
1.547619
-1.666667
951
MSP-IMPROV-S10A-F05-S-FM01.wav
She doesn't go to class. This was a one chance at having a decent job.
anger
0.880555
5,663
0.262618
-0.2
0
0.745356
0.897527
0.687184
0
0
0
6
6
2.333333
3.166667
3.833333
0.942809
0
3.333333
[ { "feats": [ 0.09393369406461716, -0.17615331709384918, 0.16296730935573578, 0.04374244436621666, 0.7941601276397705, 0.46565133333206177, 0.08724845200777054, 1.3368728160858154, 0.8011419177055359, -0.006234942935407162, -0.9538829326629639, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.13299189507961273, -0.1918003112077713, 0.11697320640087128, -0.0940626859664917, 0.6885072588920593, 0.27703145146369934, 0.061055559664964676, 1.2279835939407349, 0.798194944858551, 0.08995410054922104, -0.6720889210700989, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.14606612920761108, -0.19381897151470184, 0.11956535279750824, -0.06969231367111206, 0.6826907396316528, 0.3215535581111908, 0.08245877921581268, 1.2045258283615112, 0.7779387831687927, 0.10741141438484192, -0.7401595115661621, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.13684764504432678, -0.16457344591617584, 0.07874440401792526, -0.09931492805480957, 0.6780620813369751, 0.23765583336353302, 0.050091687589883804, 1.2113643884658813, 0.7884908318519592, 0.08562289923429489, -0.6225715279579163, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.13252946734428406, -0.1875893771648407, 0.11816234886646271, -0.07577639818191528, 0.674699068069458, 0.28610312938690186, 0.05520734563469887, 1.20891535282135, 0.7825474739074707, 0.08810488879680634, -0.6963766813278198, -...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.13425922393798828, -0.1800888478755951, 0.09797639399766922, -0.09604326635599136, 0.6702390909194946, 0.2441404163837433, 0.054841477423906326, 1.2241811752319336, 0.7821183204650879, 0.07131708413362503, -0.6366861462593079, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.14128340780735016, -0.1820124089717865, 0.08299709111452103, -0.1470983326435089, 0.7262258529663086, 0.325891375541687, 0.15012376010417938, 1.1345422267913818, 0.8126315474510193, 0.1332537680864334, -0.7937871217727661, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.15509170293807983, -0.20757122337818146, 0.1075555756688118, -0.18595771491527557, 0.7930529713630676, 0.36597222089767456, 0.1263023167848587, 1.2108547687530518, 0.8224812746047974, 0.055404555052518845, -0.852863073348999, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.1332835704088211, -0.1915520429611206, 0.11691256612539291, -0.09394331276416779, 0.6889891028404236, 0.27734243869781494, 0.0608476884663105, 1.2289953231811523, 0.798598051071167, 0.0899207815527916, -0.6719658970832825, -0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.13306458294391632, -0.19164928793907166, 0.11692265421152115, -0.09393541514873505, 0.6887168884277344, 0.2771548926830292, 0.06083784997463226, 1.2284178733825684, 0.7983494997024536, 0.08982110023498535, -0.6719357967376709, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.166667
3
1.428571
-2.083333
951
MSP-IMPROV-S10A-F05-S-FM02.wav
She says she goes to counseling and she misses those appointments too.
anger
0.897222
6,520
0.248331
-0.2
0
0.687184
1.154701
0.745356
0
0
0
6
6
2.166667
3
3.333333
0.942809
0
3.666667
[ { "feats": [ 0.11713705956935883, -0.19783639907836914, 0.13061359524726868, -0.06769169121980667, 0.6794159412384033, 0.2676141858100891, 0.06147746369242668, 1.1970218420028687, 0.7978796362876892, 0.10440303385257721, -0.6875162720680237, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.05942847579717636, -0.1290380209684372, -0.05427272990345955, -0.013093490153551102, 0.728726863861084, 0.26653340458869934, 0.06232095882296562, 1.4148598909378052, 1.0348840951919556, -0.17154820263385773, -0.536980926990509, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.06560258567333221, -0.11947856843471527, -0.04286225885152817, -0.0789082869887352, 0.7303249835968018, 0.3005128502845764, 0.09724076837301254, 1.443591833114624, 0.9957754611968994, -0.16356192529201508, -0.5955696105957031, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.04623352363705635, -0.11126124113798141, -0.07195088267326355, -0.025762889534235, 0.6791437864303589, 0.24262875318527222, 0.03138568997383118, 1.3499208688735962, 1.0347509384155273, -0.12674207985401154, -0.520017147064209, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.07614937424659729, -0.13273318111896515, -0.04169005900621414, -0.037959348410367966, 0.7406328916549683, 0.28592410683631897, 0.07664872705936432, 1.4495248794555664, 1.0132315158843994, -0.20428286492824554, -0.5695432424545288,...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.050988178700208664, -0.10341546684503555, -0.06848946958780289, -0.014884557574987411, 0.6914291977882385, 0.2577415406703949, 0.04142451658844948, 1.363869309425354, 1.0160194635391235, -0.16611751914024353, -0.5278903245925903, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.06310797482728958, -0.13771246373653412, -0.05627615004777908, 0.01294802874326706, 0.7731288075447083, 0.2710121273994446, 0.14980876445770264, 1.396687626838684, 1.0961841344833374, -0.06331662088632584, -0.5434908866882324, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.1317204236984253, -0.158766508102417, -0.06094539910554886, -0.034518469125032425, 0.8286952972412109, 0.27459952235221863, 0.16818688809871674, 1.427606463432312, 1.1284524202346802, -0.03929511085152626, -0.5569401383399963, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.05952325090765953, -0.12900705635547638, -0.05468285456299782, -0.013007255271077156, 0.7287129759788513, 0.2667637765407562, 0.06271673738956451, 1.4148125648498535, 1.035027027130127, -0.17138183116912842, -0.5371435880661011, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.05650653690099716, -0.1263979822397232, -0.05549994111061096, -0.014502697624266148, 0.7279868721961975, 0.26660478115081787, 0.0611145980656147, 1.4123034477233887, 1.0335538387298584, -0.1729813516139984, -0.5376009941101074, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.4
3.6
1.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF01.wav
She forgot to go?
anger
0.648
6,465
0.249461
-0.25
0
0.489898
1.019804
0.4
0
0
0
5
5
2.4
3.6
3.8
1.6
0
3.8
[ { "feats": [ -0.019706571474671364, -0.06611792743206024, -0.0799076035618782, 0.007873691618442535, 0.6966418623924255, 0.280761182308197, 0.07179109752178192, 1.3455075025558472, 1.0308488607406616, -0.16438767313957214, -0.5674681067466736, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.04492970556020737, -0.0561184324324131, 0.1952010542154312, 0.147963747382164, 0.6969842314720154, 0.39962175488471985, 0.22239433228969574, 1.2759640216827393, 0.7821622490882874, -0.03723186254501343, -0.5573701858520508, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.08639658987522125, -0.0748072937130928, 0.2006583958864212, 0.1383848935365677, 0.6742384433746338, 0.41399040818214417, 0.22249092161655426, 1.226118564605713, 0.7401382327079773, -0.021008482202887535, -0.6309335231781006, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.042310312390327454, -0.07233306020498276, 0.20274609327316284, 0.1720777451992035, 0.720188319683075, 0.3952650725841522, 0.2461523413658142, 1.3454533815383911, 0.8056671619415283, -0.07514559477567673, -0.5195289254188538, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.05598294362425804, -0.06805002689361572, 0.20224475860595703, 0.14154872298240662, 0.6885437369346619, 0.4095465838909149, 0.22009991109371185, 1.2583560943603516, 0.7542067766189575, -0.03185077756643295, -0.5714532732963562, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.03682497516274452, -0.06796041876077652, 0.19990426301956177, 0.15798813104629517, 0.7120725512504578, 0.39486292004585266, 0.23910881578922272, 1.3259028196334839, 0.7862529754638672, -0.055888328701257706, -0.536309003829956, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.029629100114107132, -0.10037073493003845, 0.2002381831407547, 0.08977533876895905, 0.7276118397712708, 0.4063831865787506, 0.26046472787857056, 1.2691723108291626, 0.8323238492012024, 0.02956678532063961, -0.6600178480148315, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ -0.005995575804263353, -0.12021754682064056, 0.2258138358592987, 0.04824938252568245, 0.7578427195549011, 0.4135783910751343, 0.29018500447273254, 1.2857948541641235, 0.870607852935791, 0.041163139045238495, -0.7150216102600098, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.044773608446121216, -0.05619437247514725, 0.19515882432460785, 0.1478288173675537, 0.696986734867096, 0.39963874220848083, 0.22251546382904053, 1.2759366035461426, 0.7821733951568604, -0.03710992634296417, -0.5573832988739014, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.045596443116664886, -0.05538960173726082, 0.19492462277412415, 0.14903369545936584, 0.6957188844680786, 0.39945685863494873, 0.22274090349674225, 1.2737069129943848, 0.7813467979431152, -0.036952316761016846, -0.5585602521896362, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.8
3.2
1.571429
-0.5
951
MSP-IMPROV-S10A-F05-S-MF02.wav
Hey, you seem pretty upset.
neutral
0.167
1,912
0.323543
-0.25
0
0.748331
0.748331
0
0
0
null
5
5
2.8
3.2
4
1.32665
0
3.2
[ { "feats": [ 0.04909158870577812, -0.059355586767196655, 0.20899906754493713, 0.15641231834888458, 0.6905093789100647, 0.4093264639377594, 0.24469490349292755, 1.2161314487457275, 0.7703081965446472, -0.022982189431786537, -0.5798739790916443, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.11013651639223099, -0.1715349406003952, 0.12808364629745483, 0.011932461522519588, 0.796689510345459, 0.26544973254203796, -0.039899926632642746, 1.2540926933288574, 0.8615995049476624, 0.07485172152519226, -0.6607814431190491, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.10932037979364395, -0.15271690487861633, 0.1537015289068222, 0.01934909075498581, 0.8399651050567627, 0.34768298268318176, -0.0011312038404867053, 1.2697203159332275, 0.8327361941337585, 0.0629807710647583, -0.7730838656425476, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.06363926827907562, -0.19798342883586884, 0.13999046385288239, 0.01545936893671751, 0.7974541783332825, 0.23906129598617554, -0.02885669469833374, 1.2566125392913818, 0.8719945549964905, 0.057707127183675766, -0.5775458216667175, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.10381454974412918, -0.17587396502494812, 0.15986409783363342, 0.01793096587061882, 0.8389256000518799, 0.3186485469341278, -0.035147786140441895, 1.2852352857589722, 0.8520222306251526, 0.05070313811302185, -0.7053713202476501, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.08304935693740845, -0.19444674253463745, 0.13588769733905792, 0.015276853926479816, 0.8019765615463257, 0.255094438791275, -0.035941965878009796, 1.2569918632507324, 0.8737844824790955, 0.060860712081193924, -0.6238337159156799, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.055154185742139816, -0.1782510131597519, 0.17226217687129974, -0.05196452885866165, 0.8951972126960754, 0.2824307978153229, 0.018886422738432884, 1.215957760810852, 0.9819069504737854, 0.10794153064489365, -0.8117702007293701, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ -0.007643640507012606, -0.2242453694343567, 0.1679106056690216, -0.08908550441265106, 0.9605317711830139, 0.29895371198654175, 0.05373797193169594, 1.2995752096176147, 1.045228123664856, 0.12612247467041016, -0.8772504925727844, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.11009348928928375, -0.17163436114788055, 0.12805050611495972, 0.011916709132492542, 0.7967225313186646, 0.2654591202735901, -0.039741914719343185, 1.254209041595459, 0.8616139888763428, 0.0747201144695282, -0.6609112620353699, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.10863009095191956, -0.16522353887557983, 0.13110177218914032, 0.005751591641455889, 0.7979598045349121, 0.2690061032772064, -0.03992515057325363, 1.2546054124832153, 0.8573165535926819, 0.08087392896413803, -0.6639713644981384, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.4
2.2
0.857143
-1.5
951
MSP-IMPROV-S10A-F05-S-MF03.wav
Really. Then she said three alarms.
anger
1.992
6,034
0.256645
-0.25
0
1.019804
0.748331
0.632456
0
0
0
5
5
2.4
2.2
3
0.979796
0
3.2
[ { "feats": [ 0.10246900469064713, -0.14367105066776276, 0.13983650505542755, 0.035905323922634125, 0.8044506311416626, 0.29106029868125916, -0.013835754245519638, 1.1967511177062988, 0.8845507502555847, 0.08026601374149323, -0.7069936990737915, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.0017137483227998018, -0.11582964658737183, 0.08756361901760101, -0.03531346470117569, 0.8489733338356018, 0.4884987473487854, 0.10028431564569473, 1.2256628274917603, 0.7606022357940674, 0.008419741876423359, -1.0928038358688354, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.0026212185621261597, -0.0876075029373169, 0.1110958680510521, -0.0026075313799083233, 0.8549506664276123, 0.5428491234779358, 0.12965631484985352, 1.177339792251587, 0.7303804159164429, -0.015982316806912422, -1.2054351568222046, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.012805582955479622, -0.0908089429140091, 0.06505569070577621, -0.018959859386086464, 0.8387652635574341, 0.46485403180122375, 0.07332868129014969, 1.2272316217422485, 0.77304607629776, -0.023529717698693275, -1.0414881706237793, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.001443551853299141, -0.09236924350261688, 0.10932822525501251, -0.0005890618194825947, 0.8846390843391418, 0.5354289412498474, 0.11236390471458435, 1.2429572343826294, 0.7609333992004395, -0.0279381200671196, -1.1844459772109985, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.006618843879550695, -0.08886697143316269, 0.07477737218141556, -0.014941972680389881, 0.8669488430023193, 0.4880582392215729, 0.08672784268856049, 1.2523113489151, 0.7774896025657654, -0.025897255167365074, -1.0883883237838745, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ 0.05228278413414955, -0.12237299233675003, 0.1450003981590271, -0.061975009739398956, 1.1079022884368896, 0.5701575875282288, 0.12190014868974686, 1.3624277114868164, 0.9066468477249146, 0.03086106851696968, -1.4540140628814697, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ 0.01997736468911171, -0.13578592240810394, 0.13241684436798096, -0.10515300184488297, 1.1117750406265259, 0.5441938042640686, 0.11106947809457779, 1.3640854358673096, 0.9055823683738708, 0.022776642814278603, -1.4791483879089355, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.002393414732068777, -0.1154138371348381, 0.08736835420131683, -0.0352395698428154, 0.8490123748779297, 0.48826393485069275, 0.09994148463010788, 1.226365089416504, 0.7603601813316345, 0.008412621915340424, -1.093010663986206, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.0022308246698230505, -0.11489111185073853, 0.08744189143180847, -0.03527802228927612, 0.8488966226577759, 0.48864465951919556, 0.10021186619997025, 1.2262341976165771, 0.760279655456543, 0.00817799847573042, -1.092609167098999, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.75
2.535714
3.839285
-3.125
951
MSP-IMPROV-S10A-F05-T-FM01.wav
I don't know how she could miss this opportunity.
anger
1.188776
7,361
0.232146
-0.037037
0
0.784902
1.085033
0.771792
0
0
0
28
28
1.75
2.535714
3.607143
1.179653
0
2.535714
[ { "feats": [ -0.03527678921818733, -0.08998096734285355, 0.09243913739919662, 0.012834036722779274, 0.9768213629722595, 0.536016047000885, 0.0875801220536232, 1.287418246269226, 0.808829128742218, -0.032773882150650024, -1.2754275798797607, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }