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
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.056237686425447464, -0.15821418166160583, 0.10671067982912064, -0.0625472143292427, 0.7575368881225586, 0.41915029287338257, 0.0795949399471283, 1.2398715019226074, 0.8421856760978699, -0.049296483397483826, -0.7325924634933472, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.07271576672792435, -0.13173437118530273, 0.0929684266448021, -0.04903354495763779, 0.777656078338623, 0.4612334668636322, 0.09403733164072037, 1.216811180114746, 0.8232746720314026, -0.04760002717375755, -0.7879365086555481, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.06305810064077377, -0.17343769967556, 0.13737116754055023, -0.08083270490169525, 0.7745043635368347, 0.3833859860897064, 0.047641459852457047, 1.2310551404953003, 0.8552526235580444, -0.05376134440302849, -0.6757953763008118, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.06710989028215408, -0.1448851227760315, 0.10423418879508972, -0.057504426687955856, 0.7718778252601624, 0.4312181770801544, 0.07976309955120087, 1.2358226776123047, 0.8314676880836487, -0.041286129504442215, -0.7522569298744202, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.07282453030347824, -0.1588953584432602, 0.11974341422319412, -0.067270927131176, 0.775596559047699, 0.4059858024120331, 0.054776471108198166, 1.246250867843628, 0.8483512997627258, -0.0517011322081089, -0.7006680965423584, 0....
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ -0.04471306875348091, -0.2450062483549118, 0.257255882024765, -0.140360489487648, 1.1276096105575562, 0.5390423536300659, 0.08836211264133453, 1.7741400003433228, 1.003944754600525, -0.0013879177859053016, -1.0552119016647339, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.06889604032039642, -0.1540241688489914, 0.5594564080238342, -0.30484211444854736, 1.5135451555252075, 0.7454454898834229, 0.10583524405956268, 2.2641940116882324, 1.196207046508789, -0.06986506283283234, -1.3945064544677734, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.056304458528757095, -0.15804897248744965, 0.10692424327135086, -0.061939336359500885, 0.7573849558830261, 0.41935351490974426, 0.07965344935655594, 1.2397994995117188, 0.8421144485473633, -0.04944077134132385, -0.7328563928604126, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.056028712540864944, -0.15824392437934875, 0.10690350830554962, -0.06256808340549469, 0.7575486302375793, 0.4191996157169342, 0.07979065924882889, 1.2395366430282593, 0.8421661257743835, -0.049302950501441956, -0.732849657535553, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.6
3.2
1.571429
-1
954
MSP-IMPROV-S10A-M02-P-MF06.wav
I don't know how she could miss this opportunity. Is that right? Yep. Okay.
neutral
0.227
2,608
0.308987
-0.25
0
0.489898
0.748331
0.4
0
0
0
5
5
2.6
3.2
3.2
0.8
0
2.4
[ { "feats": [ 0.05685359239578247, -0.12379869818687439, 0.1133602112531662, -0.0508929006755352, 0.784761369228363, 0.4540179669857025, 0.10082227736711502, 1.228569507598877, 0.8565020561218262, -0.03794541582465172, -0.7805545330047607, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.12876829504966736, -0.34168341755867004, 0.22391125559806824, -0.010818864218890667, 1.2849701642990112, 0.5389147996902466, 0.14185774326324463, 1.656856894493103, 1.132184624671936, -0.05687473714351654, -1.0105444192886353, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.12797950208187103, -0.3209564685821533, 0.23487502336502075, -0.02799508348107338, 1.269536018371582, 0.591128945350647, 0.15356166660785675, 1.6049915552139282, 1.1300170421600342, -0.08304781466722488, -1.1303998231887817, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.09935406595468521, -0.33952733874320984, 0.2311834841966629, 0.03421779349446297, 1.2705358266830444, 0.4987448453903198, 0.1456984430551529, 1.6984490156173706, 1.1221526861190796, -0.07579216361045837, -0.9262359142303467, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.13829277455806732, -0.3254432678222656, 0.22116225957870483, -0.01343565247952938, 1.2581806182861328, 0.5586389303207397, 0.13237251341342926, 1.6104450225830078, 1.1007212400436401, -0.08029723912477493, -1.0421062707901, 0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.11992426216602325, -0.35634055733680725, 0.22464920580387115, 0.031545743346214294, 1.278525948524475, 0.5223860740661621, 0.13045917451381683, 1.6600759029388428, 1.1104387044906616, -0.08369652181863785, -0.9646427631378174, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.20206592977046967, -0.3366544842720032, 0.25651368498802185, -0.2079731523990631, 1.5060590505599976, 0.5020422339439392, 0.17414593696594238, 1.8548483848571777, 1.140238881111145, 0.12279541790485382, -1.3431299924850464, 0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.29191169142723083, -0.3686106204986572, 0.2776322662830353, -0.25165700912475586, 1.621054768562317, 0.5340413451194763, 0.3148542046546936, 1.9612956047058105, 1.1533054113388062, 0.13231632113456726, -1.5019053220748901, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.1296023577451706, -0.3427862823009491, 0.2242463082075119, -0.011099317111074924, 1.2848035097122192, 0.5390318036079407, 0.1414354145526886, 1.6578508615493774, 1.1322680711746216, -0.056977879256010056, -1.0096973180770874, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.12815149128437042, -0.34074169397354126, 0.2237996906042099, -0.011708158068358898, 1.2833746671676636, 0.538831889629364, 0.14177070558071136, 1.6546412706375122, 1.1310009956359863, -0.05553065985441208, -1.0094707012176514, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.857143
3.571429
1.836735
-0.357142
954
MSP-IMPROV-S10A-M02-P-MF07.wav
Mm-hmm (affirmative)- or win the lottery.
neutral
0.354592
6,907
0.241574
-0.166667
0
0.832993
1.049781
1.069045
0
0
0
7
7
2.857143
3.571429
3
0.699854
0
4.285714
[ { "feats": [ 0.11239682137966156, -0.3503362536430359, 0.2798055410385132, -0.019290493801236153, 1.3436254262924194, 0.5925797820091248, 0.1807878613471985, 1.6852055788040161, 1.1529505252838135, -0.039976321160793304, -1.0425732135772705, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.021727420389652252, -0.22494937479496002, 0.14193157851696014, -0.07366272807121277, 1.239399790763855, 0.503516435623169, 0.23111608624458313, 1.1872832775115967, 0.9010607004165649, -0.1214509829878807, -1.7743842601776123, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.06025490537285805, -0.20882056653499603, 0.1765221357345581, -0.08882446587085724, 1.2937078475952148, 0.5681174397468567, 0.2997606098651886, 1.2789322137832642, 0.9121401309967041, -0.13215462863445282, -1.8830004930496216, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.0413733534514904, -0.22995740175247192, 0.15488050878047943, -0.05974481627345085, 1.2921271324157715, 0.5065214037895203, 0.2613837718963623, 1.2552244663238525, 0.935225248336792, -0.15865619480609894, -1.8173794746398926, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.05326832830905914, -0.21251621842384338, 0.15547484159469604, -0.08117850869894028, 1.2761986255645752, 0.5428048372268677, 0.27248165011405945, 1.2692508697509766, 0.904353141784668, -0.14422643184661865, -1.842398762702942, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.038477785885334015, -0.21712687611579895, 0.15794804692268372, -0.07075092941522598, 1.2793418169021606, 0.5185450315475464, 0.2464618980884552, 1.2526527643203735, 0.9272739887237549, -0.17872944474220276, -1.8076103925704956, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.14835086464881897, -0.20152586698532104, 0.12482323497533798, -0.10611524432897568, 1.3961474895477295, 0.6178802847862244, 0.2820953130722046, 1.4781467914581299, 0.9901341199874878, -0.13244891166687012, -2.1281726360321045, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.08771190047264099, -0.16996701061725616, 0.12541380524635315, -0.11572469025850296, 1.3274450302124023, 0.5630708932876587, 0.2337968498468399, 1.3682599067687988, 0.9390309453010559, -0.11694890260696411, -2.0694642066955566, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.021737638860940933, -0.22534172236919403, 0.14228050410747528, -0.07418892532587051, 1.241584300994873, 0.5046328902244568, 0.23194167017936707, 1.1893411874771118, 0.9023747444152832, -0.12174799293279648, -1.7763088941574097, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.021990394219756126, -0.2254839539527893, 0.1418973207473755, -0.07378287613391876, 1.2390673160552979, 0.5032441020011902, 0.23074084520339966, 1.1868034601211548, 0.9011307954788208, -0.12110620737075806, -1.7748439311981201, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.4
3.4
1.714286
-1.5
954
MSP-IMPROV-S10A-M02-R-MM01.wav
I don't know how she could miss this opportunity.
anger
0.768
2,622
0.308873
null
null
0.489898
1.019804
0.8
0
0
0
5
5
2.4
3.4
3.6
0.748331
0
2.8
[ { "feats": [ -0.05099870637059212, -0.21078962087631226, 0.19464367628097534, -0.063726507127285, 1.412665605545044, 0.6298040747642517, 0.2779582440853119, 1.412213683128357, 0.9918537139892578, -0.15157806873321533, -2.0067226886749268, 0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.10435888916254044, -0.17018245160579681, 0.15785439312458038, 0.09075096249580383, 1.0186645984649658, 0.3916756510734558, 0.1250034123659134, 1.2907942533493042, 1.0061153173446655, -0.0015731245512142777, -0.8683638572692871, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.12102211266756058, -0.2126353532075882, 0.11222806572914124, 0.08743612468242645, 1.005552887916565, 0.44392725825309753, 0.14756415784358978, 1.2465492486953735, 0.9343944191932678, 0.061206310987472534, -0.9325241446495056, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.06540350615978241, -0.18363764882087708, 0.1537979394197464, 0.07809196412563324, 1.0460684299468994, 0.3716774880886078, 0.10088776051998138, 1.2876365184783936, 1.0126971006393433, -0.012608736753463745, -0.8225225210189819, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.11477876454591751, -0.18791714310646057, 0.12251647561788559, 0.08325053751468658, 1.023756504058838, 0.44252416491508484, 0.13286735117435455, 1.2423107624053955, 0.9378865957260132, 0.0487874373793602, -0.9250986576080322, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.061061520129442215, -0.1667187362909317, 0.14689207077026367, 0.08029813319444656, 1.0623835325241089, 0.40577420592308044, 0.11534494161605835, 1.272894024848938, 0.9954243898391724, -0.02187727391719818, -0.8729787468910217, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.3062118887901306, -0.29116952419281006, 0.29945650696754456, -0.23824003338813782, 1.5138390064239502, 0.5408005118370056, 0.24005165696144104, 1.6850919723510742, 1.269201636314392, 0.040885671973228455, -1.421618103981018, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.2916949391365051, -0.33625292778015137, 0.37747758626937866, -0.3228575587272644, 1.710095763206482, 0.7561753392219543, 0.6477870345115662, 1.8782413005828857, 1.1781002283096313, 0.15919426083564758, -1.7097686529159546, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.09771949052810669, -0.16843874752521515, 0.16290324926376343, 0.09385580569505692, 1.014626383781433, 0.39132747054100037, 0.13425299525260925, 1.2922255992889404, 0.9933732748031616, -0.007527804933488369, -0.8659757375717163, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.10512449592351913, -0.1687350869178772, 0.15453821420669556, 0.08902827650308609, 1.021694302558899, 0.3929290473461151, 0.12018077820539474, 1.2914656400680542, 1.0154025554656982, 0.0036181181203573942, -0.8715855479240417, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.2
3.8
2
-2
954
MSP-IMPROV-S10A-M02-S-FM02.wav
You're telling me.
neutral
0.827
6,703
0.245191
-0.25
0
0.748331
0.748331
0.489898
0
0
0
5
5
2.2
3.8
2.4
1.6
0
3.2
[ { "feats": [ 0.1691918969154358, -0.20317551493644714, 0.16548286378383636, 0.08078772574663162, 1.0571542978286743, 0.4466051459312439, 0.07600291818380356, 1.228425145149231, 1.0560919046401978, -0.01598612777888775, -0.9840277433395386, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.12092071771621704, -0.2427794635295868, 0.13624358177185059, -0.10336366295814514, 0.73659348487854, 0.3679982125759125, 0.05700511112809181, 1.1969108581542969, 0.7430367469787598, -0.06557197868824005, -0.6313439607620239, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.13092339038848877, -0.20958343148231506, 0.13263840973377228, -0.09973073750734329, 0.7075807452201843, 0.3973938822746277, 0.063699871301651, 1.1756888628005981, 0.7200777530670166, -0.05290050804615021, -0.6880440711975098, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.12934282422065735, -0.2396979033946991, 0.13251367211341858, -0.1038300171494484, 0.7462454438209534, 0.34007567167282104, 0.05613405257463455, 1.2228926420211792, 0.7525193095207214, -0.0792236253619194, -0.5692183375358582, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.13129471242427826, -0.2273886650800705, 0.1313139796257019, -0.10292159765958786, 0.7226735353469849, 0.37831658124923706, 0.055616382509469986, 1.2068817615509033, 0.7229762077331543, -0.04421449080109596, -0.6481714844703674, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.14640946686267853, -0.23607712984085083, 0.134188711643219, -0.09982675313949585, 0.7260810732841492, 0.34356778860092163, 0.05509272217750549, 1.1982667446136475, 0.725622296333313, -0.06627492606639862, -0.605380117893219, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.14263306558132172, -0.28083208203315735, 0.10863936692476273, -0.15551817417144775, 0.7661438584327698, 0.4118964970111847, 0.09546103328466415, 1.2544857263565063, 0.7599819898605347, -0.07952528446912766, -0.8139685392379761, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.10018245130777359, -0.21184462308883667, 0.09561849385499954, -0.16157245635986328, 0.7688872814178467, 0.4423478841781616, 0.10833108425140381, 1.3641860485076904, 0.7915427684783936, -0.12120744585990906, -0.9342577457427979, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.12256233394145966, -0.24241332709789276, 0.13582511246204376, -0.10272235423326492, 0.7356643080711365, 0.3676227927207947, 0.05716115981340408, 1.1960710287094116, 0.7420169115066528, -0.06490357965230942, -0.6314011216163635, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.12265089154243469, -0.2423604130744934, 0.13573966920375824, -0.10229259729385376, 0.7352227568626404, 0.36747029423713684, 0.0572950504720211, 1.1956582069396973, 0.7417407631874084, -0.06467364728450775, -0.6315166354179382, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.2
3
5
-2
954
MSP-IMPROV-S10A-M02-S-MF01.wav
You heard my friend overslept, right?
anger
0.92
3,426
0.295821
-0.25
0
0.4
0.894427
0.748331
0
0
0
5
5
2.2
3
4.2
0.632456
0
4
[ { "feats": [ 0.13530363142490387, -0.2365826964378357, 0.1402788907289505, -0.08775658905506134, 0.7694792747497559, 0.3971683979034424, 0.086251400411129, 1.2207616567611694, 0.7380027174949646, -0.0808277279138565, -0.6489812731742859, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.0876481682062149, -0.18180496990680695, 0.05858098343014717, -0.10202672332525253, 0.7844099402427673, 0.4176608622074127, 0.06065753474831581, 1.2743196487426758, 0.7767449021339417, -0.05649535730481148, -0.8740807771682739, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.08265940099954605, -0.14302001893520355, 0.07466568797826767, -0.09716377407312393, 0.8156396150588989, 0.4794049859046936, 0.08643746376037598, 1.2633236646652222, 0.7825982570648193, -0.060673944652080536, -0.9642853140830994, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.09588029235601425, -0.18906302750110626, 0.05249246582388878, -0.09997051954269409, 0.8109517097473145, 0.4062785506248474, 0.06400126218795776, 1.3236563205718994, 0.8011906147003174, -0.06485998630523682, -0.8417683243751526, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.0883120521903038, -0.15402190387248993, 0.06631119549274445, -0.09848000854253769, 0.8115088939666748, 0.454329252243042, 0.07538367807865143, 1.2829642295837402, 0.7839897274971008, -0.06401338428258896, -0.9235606789588928, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.09287168085575104, -0.18822363018989563, 0.05749870464205742, -0.10276943445205688, 0.8040542006492615, 0.4182562530040741, 0.06180252507328987, 1.3003123998641968, 0.7913873791694641, -0.05768442526459694, -0.8657316565513611, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.09356456995010376, -0.20647437870502472, 0.0686148852109909, -0.14388801157474518, 0.8280906081199646, 0.4390234649181366, 0.08354123681783676, 1.3413549661636353, 0.8406166434288025, -0.020081380382180214, -0.9751340746879578, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.0689602792263031, -0.1952933371067047, 0.04919857904314995, -0.1533120572566986, 0.8601036667823792, 0.4513362944126129, 0.06249771639704704, 1.3659565448760986, 0.8730248808860779, -0.04273779317736626, -1.0244399309158325, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.08771204948425293, -0.1818290501832962, 0.05864185094833374, -0.10233109444379807, 0.7848951816558838, 0.41798099875450134, 0.060681164264678955, 1.2746732234954834, 0.7770222425460815, -0.056357067078351974, -0.8744293451309204, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.08766571432352066, -0.18185539543628693, 0.05854055657982826, -0.1022808775305748, 0.7848497033119202, 0.4178898334503174, 0.06069860979914665, 1.274648904800415, 0.7767617702484131, -0.056387294083833694, -0.8742040991783142, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.8
2.4
1
-3
954
MSP-IMPROV-S10A-M02-S-MF02.wav
She had that great job interview lined up and it just all fell apart.
anger
1.368
5,428
0.266421
-0.25
0
0.748331
0.489898
0.8
0
0
0
5
5
1.8
2.4
4.4
1.16619
0
3.8
[ { "feats": [ 0.09285856038331985, -0.16941288113594055, 0.06564244627952576, -0.08925818651914597, 0.8528566360473633, 0.4696540832519531, 0.0799342468380928, 1.3277645111083984, 0.8164122104644775, -0.07638060301542282, -0.939594030380249, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07228574901819229, -0.22602513432502747, 0.20479214191436768, -0.0876174122095108, 0.7654168009757996, 0.414064884185791, 0.0988624170422554, 1.4014321565628052, 0.7529317140579224, -0.05573171749711037, -0.7985459566116333, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.06465695053339005, -0.21006663143634796, 0.19152311980724335, -0.11250673234462738, 0.7831755876541138, 0.46135032176971436, 0.12866254150867462, 1.3676855564117432, 0.7468164563179016, -0.0541132427752018, -0.8725236058235168, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07837936282157898, -0.24838455021381378, 0.2038918137550354, -0.05339508876204491, 0.7759929299354553, 0.4051343500614166, 0.09405611455440521, 1.4160182476043701, 0.7821890115737915, -0.0681527853012085, -0.743952214717865, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07341411709785461, -0.21436677873134613, 0.19821085035800934, -0.09924525022506714, 0.7945794463157654, 0.4513539969921112, 0.12310472875833511, 1.4135221242904663, 0.7570058107376099, -0.05596796050667763, -0.8306360840797424, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07792595773935318, -0.24136467278003693, 0.20324444770812988, -0.06922956556081772, 0.7763480544090271, 0.4169677793979645, 0.10267046838998795, 1.4167219400405884, 0.763213574886322, -0.05618244409561157, -0.7721049785614014, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.04910719022154808, -0.3357574939727783, 0.12991566956043243, -0.11576326191425323, 0.8005111813545227, 0.4444750249385834, 0.06524404883384705, 1.4264848232269287, 0.8053199648857117, -0.06189306452870369, -0.9701983332633972, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.008434840478003025, -0.3211902976036072, 0.15764789283275604, -0.14605370163917542, 0.8763474822044373, 0.49137964844703674, 0.05536531284451485, 1.5179457664489746, 0.867718517780304, -0.03849245235323906, -1.0458396673202515, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07220989465713501, -0.22616302967071533, 0.20489993691444397, -0.0871940404176712, 0.7652007341384888, 0.4136626124382019, 0.0984562337398529, 1.4016375541687012, 0.7527545094490051, -0.055698104202747345, -0.7979872822761536, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07220299541950226, -0.22634820640087128, 0.2048327922821045, -0.08754314482212067, 0.7655728459358215, 0.413756787776947, 0.09914122521877289, 1.4020347595214844, 0.7529086470603943, -0.055484868586063385, -0.7982707023620605, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.6
2.2
0.857143
-3.5
954
MSP-IMPROV-S10A-M02-S-MF03.wav
No. I don't know how she could miss an opportunity like this. That, this, that?
anger
1.592
2,578
0.309688
null
null
0.8
0.748331
0.748331
0
0
0
5
5
1.6
2.2
3.8
0.748331
0
1.8
[ { "feats": [ 0.07602458447217941, -0.24364247918128967, 0.21115237474441528, -0.07581032812595367, 0.8152791857719421, 0.44860807061195374, 0.12165742367506027, 1.4377226829528809, 0.7713803052902222, -0.04384518787264824, -0.8215493559837341, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.04715549200773239, -0.14764894545078278, 0.15809334814548492, 0.049099355936050415, 0.9499059915542603, 0.5922493934631348, 0.14346687495708466, 1.6695834398269653, 0.8438756465911865, 0.013538364320993423, -0.6989247798919678, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.04934622347354889, -0.15556764602661133, 0.14137017726898193, 0.02164318412542343, 0.9158400297164917, 0.5980214476585388, 0.15465562045574188, 1.6147295236587524, 0.8013275265693665, 0.024365834891796112, -0.7374340891838074, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.056185394525527954, -0.136813685297966, 0.1690244823694229, 0.05358211696147919, 0.9688384532928467, 0.5861235857009888, 0.1662033647298813, 1.739954948425293, 0.8798778057098389, 0.039615973830223083, -0.6628813147544861, -0...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.06721259653568268, -0.1505616158246994, 0.15526364743709564, 0.04786635562777519, 0.9532843232154846, 0.603533148765564, 0.15712527930736542, 1.673201084136963, 0.8331301212310791, 0.03171543776988983, -0.7182273864746094, -0...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.05178830400109291, -0.12988105416297913, 0.1599113941192627, 0.051149722188711166, 0.9436919093132019, 0.5778551697731018, 0.15424464643001556, 1.6832467317581177, 0.8549760580062866, 0.03121676854789257, -0.6701737642288208, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ -0.054382044821977615, -0.23825480043888092, 0.11896833777427673, -0.0476725734770298, 0.9658410549163818, 0.6002227067947388, 0.2362697720527649, 1.6651593446731567, 0.8936375379562378, 0.10018806904554367, -0.7593832612037659, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.014517667703330517, -0.16846995055675507, 0.12091897428035736, 0.002253794576972723, 0.9866059422492981, 0.6155376434326172, 0.1706669181585312, 1.7428897619247437, 0.938184916973114, 0.08546607196331024, -0.801336407661438, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.04713188484311104, -0.1481781303882599, 0.1586543768644333, 0.04889316111803055, 0.9500570297241211, 0.59242844581604, 0.14351342618465424, 1.6697216033935547, 0.844011127948761, 0.0136818066239357, -0.6990747451782227, -0.11...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.046983279287815094, -0.14766088128089905, 0.15841905772686005, 0.049130525439977646, 0.9494998455047607, 0.5920998454093933, 0.14343373477458954, 1.6685686111450195, 0.8435642719268799, 0.01349286176264286, -0.6991885900497437, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.625
3.625
1.875
-0.9375
954
MSP-IMPROV-S10A-M02-S-MF06.wav
No, I don't think so.
neutral
0.45
3,017
0.302229
-0.142857
0
0.484123
0.484123
0.599479
0
0
0
8
8
2.625
3.625
3.125
0.992157
0
3.375
[ { "feats": [ 0.040332432836294174, -0.1593513786792755, 0.16920901834964752, 0.05837545171380043, 0.9879046678543091, 0.6480464935302734, 0.17383483052253723, 1.7027400732040405, 0.8563237190246582, 0.06767107546329498, -0.752877950668335, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.011485363356769085, -0.20421947538852692, 0.08902737498283386, -0.07674578577280045, 0.9117802381515503, 0.3450026214122772, 0.09657048434019089, 1.3304461240768433, 0.8664502501487732, -0.020846379920840263, -1.0247576236724854, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.010123197920620441, -0.18336519598960876, 0.1159198209643364, -0.07621710002422333, 0.9425373673439026, 0.40533336997032166, 0.11851059645414352, 1.3232905864715576, 0.8893049359321594, -0.04058161750435829, -1.126022458076477, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.0020401012152433395, -0.22801466286182404, 0.11315855383872986, -0.048162106424570084, 0.9528983235359192, 0.34994930028915405, 0.07890086621046066, 1.3770335912704468, 0.9332042336463928, -0.07890579104423523, -1.0036132335662842,...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.0054603624157607555, -0.17093202471733093, 0.0996105968952179, -0.06436803936958313, 0.9469922780990601, 0.3940960764884949, 0.11154443770647049, 1.3459808826446533, 0.9028564095497131, -0.044966891407966614, -1.1033871173858643, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.00855883490294218, -0.19806259870529175, 0.09907729178667068, -0.05308078974485397, 0.9253668189048767, 0.3561329245567322, 0.08351262658834457, 1.341916799545288, 0.9012347459793091, -0.06353946030139923, -1.0113588571548462, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.03666762262582779, -0.2547869384288788, 0.10536529123783112, -0.14954230189323425, 1.1407716274261475, 0.42187193036079407, 0.06305240094661713, 1.548653244972229, 1.0681904554367065, -0.020180923864245415, -1.306714415550232, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.05376848578453064, -0.28121811151504517, 0.12221983820199966, -0.2189987748861313, 1.2283666133880615, 0.452258825302124, 0.1182040423154831, 1.6745060682296753, 1.1148524284362793, -0.023186182603240013, -1.385863184928894, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.01126327458769083, -0.2046099752187729, 0.08895218372344971, -0.07704225927591324, 0.9123091101646423, 0.3450205624103546, 0.0964808389544487, 1.3304046392440796, 0.8667075634002686, -0.020768247544765472, -1.0250542163848877, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ 0.011325174942612648, -0.20531773567199707, 0.08917586505413055, -0.0769277811050415, 0.9125429391860962, 0.345027893781662, 0.09778769314289093, 1.3316993713378906, 0.8672412037849426, -0.01960386335849762, -1.0256319046020508, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.074074
3.111111
1.507936
-2.314815
954
MSP-IMPROV-S10A-M02-T-MF01.wav
I don't know how she could miss this opportunity.
anger
0.743484
6,047
0.256446
-0.038462
0
0.604056
0.831479
null
0
0
null
27
27
2.074074
3.111111
3.227273
null
null
3.181818
[ { "feats": [ -0.022639987990260124, -0.1638912856578827, 0.12761713564395905, -0.012867327779531479, 1.0501176118850708, 0.467313289642334, 0.1412949562072754, 1.3963476419448853, 0.9583584070205688, -0.040016137063503265, -1.2312273979187012, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.22118954360485077, -0.16074031591415405, 0.13151009380817413, -0.036711543798446655, 1.1111258268356323, 0.7986659407615662, 0.2272094339132309, 1.7290915250778198, 1.107750654220581, 0.07814136147499084, -1.1601192951202393, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.18847016990184784, -0.1360219269990921, 0.13835348188877106, -0.05193589627742767, 1.2343775033950806, 0.8679928779602051, 0.2626509368419647, 1.818758487701416, 1.2236661911010742, 0.050062358379364014, -1.3348207473754883, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.20382769405841827, -0.18591618537902832, 0.13722874224185944, -0.020697321742773056, 1.0908479690551758, 0.7908411026000977, 0.18860235810279846, 1.6673784255981445, 1.1839512586593628, 0.017819523811340332, -1.170294165611267, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.18889084458351135, -0.1577586829662323, 0.11166385561227798, -0.020744087174534798, 1.169439673423767, 0.8211044073104858, 0.23524640500545502, 1.7751652002334595, 1.1563653945922852, 0.05656815320253372, -1.2608343362808228, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.21000269055366516, -0.18705667555332184, 0.10176398605108261, 0.010267957113683224, 1.0738226175308228, 0.7791321277618408, 0.21043117344379425, 1.6698569059371948, 1.1261802911758423, 0.059519123286008835, -1.1792933940887451, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.28450629115104675, -0.3439604341983795, 0.25935518741607666, 0.04404493793845177, 1.700969934463501, 0.8940426707267761, 0.3375633656978607, 2.287181854248047, 1.3435256481170654, 0.18439924716949463, -1.6478936672210693, 0.0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.43813595175743103, -0.32873108983039856, 0.40795353055000305, -0.26760321855545044, 2.0096323490142822, 1.0430033206939697, 0.5354141592979431, 2.5232646465301514, 1.3315006494522095, 0.1760539710521698, -1.9600191116333008, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.22278890013694763, -0.16032059490680695, 0.13424159586429596, -0.037742070853710175, 1.1132597923278809, 0.7998809814453125, 0.22855302691459656, 1.729121446609497, 1.1102124452590942, 0.07740125805139542, -1.16115140914917, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.22087980806827545, -0.1603938192129135, 0.12983061373233795, -0.03689764812588692, 1.1078568696975708, 0.7966622114181519, 0.22657287120819092, 1.726832628250122, 1.104574203491211, 0.07806884497404099, -1.1582863330841064, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
5
10
0
955
MSP-IMPROV-S10A-M03-P-FM01.wav
Chelsea?Yeah.
neutral
1.875
51
0.486722
null
null
0
0
1.264911
null
null
0
5
5
3
5
2
0.894427
0
4
[ { "feats": [ 0.19665023684501648, -0.150627002120018, 0.08046360313892365, -0.03990061953663826, 1.1331790685653687, 0.81716388463974, 0.2310383915901184, 1.6480883359909058, 1.2136270999908447, -0.003885457292199135, -1.2664705514907837, -...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }