label
int64
valence
float64
arousal
float64
domination
float64
arousal_norm
float64
valence_norm
float64
speakerID
int64
utterance_id
string
transcript
string
speaker_id
int64
emotion
string
difficulty
float64
curriculum_order
int64
overall_agreement
float64
fleiss_kappa
float64
krippendorff_alpha
float64
valence_std
float64
arousal_std
float64
dominance_std
float64
valence_icc
float64
arousal_icc
float64
dominance_icc
float64
n_categorical_evaluators
int64
n_dimensional_evaluators
int64
consensus_valence
float64
consensus_arousal
float64
consensus_dominance
float64
emotion2vec_features
list
augmentation
string
augmentation_type
string
augmentation_params
dict
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.13735005259513855, -0.14217060804367065, 0.197066068649292, -0.09854045510292053, 0.6559629440307617, 0.3450077474117279, 0.06425640732049942, 1.2703191041946411, 0.7889763116836548, -0.04155919328331947, -0.8213227987289429, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.13786184787750244, -0.12693919241428375, 0.18760047852993011, -0.06998177617788315, 0.6623976826667786, 0.38370391726493835, 0.06935691833496094, 1.2249755859375, 0.7732654809951782, -0.04974072054028511, -0.8708605170249939, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.13797034323215485, -0.14289966225624084, 0.21000508964061737, -0.0962061956524849, 0.7029879689216614, 0.34114351868629456, 0.06838472932577133, 1.3272234201431274, 0.8228885531425476, -0.04792279005050659, -0.7765122056007385, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.13586188852787018, -0.1326800137758255, 0.18726924061775208, -0.08341453969478607, 0.6492739319801331, 0.3586277663707733, 0.0662848949432373, 1.2294182777404785, 0.7788636684417725, -0.03857087343931198, -0.8444752097129822, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.1315961480140686, -0.13753440976142883, 0.20613358914852142, -0.09609250724315643, 0.6792563796043396, 0.3451073467731476, 0.07562543451786041, 1.2929407358169556, 0.8078327178955078, -0.04728519544005394, -0.7975658774375916, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.16045118868350983, -0.15785352885723114, 0.14903563261032104, -0.07025149464607239, 0.6899994015693665, 0.35677409172058105, 0.053532205522060394, 1.2355313301086426, 0.7949131727218628, -0.05050995945930481, -0.8852976560592651, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.16592898964881897, -0.17374852299690247, 0.12954829633235931, -0.08755666017532349, 0.7006778717041016, 0.3573377728462219, 0.08299119770526886, 1.2247035503387451, 0.7990373373031616, -0.05777611956000328, -0.9153627157211304, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.1373291313648224, -0.1421530842781067, 0.19711633026599884, -0.0984773114323616, 0.6559733748435974, 0.3449991047382355, 0.06422054022550583, 1.2703948020935059, 0.7890015244483948, -0.04151221364736557, -0.8212957978248596, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.1380746066570282, -0.14873765408992767, 0.19256839156150818, -0.09698089957237244, 0.6607369184494019, 0.34596091508865356, 0.06635209918022156, 1.279482364654541, 0.788966953754425, -0.04274168983101845, -0.8199121952056885, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1
5
5
10
-5
2
Ses01M_impro01_F022
Maybe you never been to the D.M.V. before, maybe you should get back in line. You know what? sit in line again and if you get my number ask for different one.
2
anger
0
387
0.75
-0.333333
0
0
0
0
null
null
null
4
3
1
5
5
[ { "feats": [ 0.1309957206249237, -0.12688781321048737, 0.1800992488861084, -0.05563802272081375, 0.676823079586029, 0.3590549826622009, 0.057664718478918076, 1.2422865629196167, 0.8008169531822205, -0.039425089955329895, -0.828048586845398, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.02171267382800579, -0.2441009134054184, 0.27801916003227234, -0.15994924306869507, 0.9760643839836121, 0.41726434230804443, 0.04107005521655083, 1.5144295692443848, 0.9293229579925537, -0.19528795778751373, -0.7525371313095093, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ -0.005466652102768421, -0.22181734442710876, 0.2928427457809448, -0.13337841629981995, 0.9701405167579651, 0.4335213601589203, 0.03702441602945328, 1.4072402715682983, 0.8744304776191711, -0.18267326056957245, -0.7787754535675049, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.0009629544802010059, -0.2495499551296234, 0.29939040541648865, -0.16232657432556152, 0.9862902760505676, 0.36028069257736206, 0.00835337396711111, 1.4408568143844604, 0.8989132046699524, -0.17284390330314636, -0.6549832224845886, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.004071766510605812, -0.24487172067165375, 0.2832527756690979, -0.13910335302352905, 0.9543172717094421, 0.3998393416404724, 0.026671327650547028, 1.44346284866333, 0.8886400461196899, -0.17459651827812195, -0.7570787668228149, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.025144638493657112, -0.25643613934516907, 0.2738509476184845, -0.16980350017547607, 0.9746418595314026, 0.38091087341308594, 0.020664287731051445, 1.4777661561965942, 0.9215739965438843, -0.16965563595294952, -0.7076874375343323, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ -0.012638948857784271, -0.2614472210407257, 0.25474217534065247, -0.18860968947410583, 0.9647157192230225, 0.37953445315361023, 0.028194965794682503, 1.4747427701950073, 0.8784534931182861, -0.17746151983737946, -0.6849812865257263, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ -0.03613327071070671, -0.27940860390663147, 0.27986955642700195, -0.20770350098609924, 1.0019831657409668, 0.3984527885913849, 0.02991046942770481, 1.5172595977783203, 0.8953439593315125, -0.1928260177373886, -0.6697351932525635, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.02157948538661003, -0.2440575212240219, 0.27803951501846313, -0.1599498689174652, 0.9759799242019653, 0.41723451018333435, 0.041070520877838135, 1.5142343044281006, 0.9292321801185608, -0.19522595405578613, -0.7525177597999573, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.021715620532631874, -0.25172948837280273, 0.28422948718070984, -0.16585172712802887, 0.9832554459571838, 0.4275858700275421, 0.036964066326618195, 1.5381321907043457, 0.9345285892486572, -0.1984458863735199, -0.7342462539672852, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4
8.75
-3.75
1
Ses01M_impro01_M020
Did you even look at the form? I filled it out all these questions--
1
anger
0
8,611
0.293884
-0.333333
0
0.471405
0.471405
0.942809
0
0
0
4
3
1.5
4.5
4
[ { "feats": [ 0.016379473730921745, -0.2093735635280609, 0.26767557859420776, -0.16909685730934143, 0.9917688965797424, 0.3876728117465973, 0.012945340946316719, 1.467632532119751, 0.9109461307525635, -0.182351216673851, -0.7311595678329468, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.030644146725535393, -0.041592441499233246, 0.3055533766746521, -0.11750950664281845, 0.9371315836906433, 0.46299514174461365, 0.0771654024720192, 1.6644703149795532, 0.8728638887405396, -0.22532297670841217, -0.7840778231620789, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.029176726937294006, -0.03663502633571625, 0.3133755326271057, -0.10631918907165527, 0.8823936581611633, 0.5027775764465332, 0.1275169849395752, 1.6108717918395996, 0.8379445672035217, -0.20459012687206268, -0.7856283783912659, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.016370251774787903, -0.08181115984916687, 0.2966351807117462, -0.11141235381364822, 0.9559391736984253, 0.40879732370376587, 0.07718417793512344, 1.6548206806182861, 0.8565137386322021, -0.27292540669441223, -0.7275617718696594, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.0076846531592309475, -0.0436893068253994, 0.3070596754550934, -0.08146627247333527, 0.9316009283065796, 0.4957590103149414, 0.09837190806865692, 1.6625603437423706, 0.8879764080047607, -0.23021574318408966, -0.7973473072052002, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.03462141007184982, -0.0620698407292366, 0.3144538402557373, -0.11250350624322891, 0.954657793045044, 0.4392189681529999, 0.06527088582515717, 1.6760221719741821, 0.8665167093276978, -0.25718382000923157, -0.7457372546195984, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.049311794340610504, -0.057883039116859436, 0.2956518232822418, -0.11475270241498947, 0.9150758981704712, 0.4467775821685791, 0.07369173318147659, 1.668702244758606, 0.8252334594726562, -0.23857401311397552, -0.7788204550743103, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.05410413444042206, -0.05939261242747307, 0.2778216600418091, -0.13523560762405396, 0.9686607718467712, 0.48428580164909363, 0.07680890709161758, 1.712544322013855, 0.8800867199897766, -0.2554609179496765, -0.8263195753097534, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.030706478282809258, -0.04156767576932907, 0.3055790960788727, -0.11747469753026962, 0.9371508955955505, 0.4629855453968048, 0.07717283070087433, 1.664536476135254, 0.8727967739105225, -0.22540949285030365, -0.7840248942375183, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ -0.03437868505716324, -0.056331489235162735, 0.2988545894622803, -0.12978556752204895, 0.9605960249900818, 0.48253098130226135, 0.06745272129774094, 1.713377833366394, 0.8876920938491821, -0.24537824094295502, -0.7840970754623413, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro01_M025
I am not...I'm not getting to back that line.
1
anger
0.075
8,608
0.293884
-0.333333
0
0.471405
0.942809
0.471405
0
0
0
4
3
1.5
4
4.5
[ { "feats": [ 0.00965700950473547, -0.06611160188913345, 0.29606834053993225, -0.0596584752202034, 0.9935477375984192, 0.4738883078098297, 0.11016565561294556, 1.656363844871521, 0.9063605070114136, -0.2418767660856247, -0.8102672696113586, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.10115421563386917, -0.5866509079933167, -0.06000523269176483, -0.08577299863100052, 0.9919021725654602, 0.43392378091812134, -0.08451656252145767, 1.505428671836853, 0.957026481628418, 0.025992194190621376, -0.4121241271495819, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.10014057159423828, -0.5572479963302612, -0.05227915942668915, -0.11917142570018768, 0.9535346627235413, 0.4933336079120636, 0.009251685813069344, 1.3765228986740112, 0.9431072473526001, 0.02250595949590206, -0.5391982793807983, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.0968289002776146, -0.5330460667610168, -0.10182013362646103, -0.09512655436992645, 0.9485978484153748, 0.41471171379089355, -0.08287349343299866, 1.4804015159606934, 0.9642181396484375, 0.015570924617350101, -0.34022724628448486, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.0907723605632782, -0.5469493865966797, -0.05503302067518234, -0.0882163941860199, 0.9857725501060486, 0.4759729206562042, -0.0261829886585474, 1.4403467178344727, 0.9496160745620728, 0.012313237413764, -0.476925790309906, -0....
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.08582590520381927, -0.5304256081581116, -0.060857586562633514, -0.09799812734127045, 0.9705187678337097, 0.42939597368240356, -0.03525974974036217, 1.5243563652038574, 0.9507859349250793, 0.014042251743376255, -0.36749574542045593,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.060333043336868286, -0.5917984843254089, -0.14585939049720764, -0.23195385932922363, 1.0430597066879272, 0.4022076427936554, 0.04068750888109207, 1.4284588098526, 1.059775710105896, 0.0908282920718193, -0.6035032868385315, -0...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.012998463585972786, -0.6425682902336121, -0.18162310123443604, -0.28396883606910706, 1.0528160333633423, 0.3525533080101013, 0.06676281988620758, 1.4132583141326904, 1.067036747932434, 0.04658568277955055, -0.657769501209259, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.10028637200593948, -0.5872277021408081, -0.06028217077255249, -0.08598022162914276, 0.9919670820236206, 0.4344530999660492, -0.08407928794622421, 1.5058432817459106, 0.9569239616394043, 0.02572181075811386, -0.41200312972068787, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.10085836797952652, -0.5843116044998169, -0.06073649227619171, -0.08651187270879745, 0.9882757067680359, 0.434790700674057, -0.0815349593758583, 1.5013715028762817, 0.9523114562034607, 0.022763103246688843, -0.41155460476875305, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
3
4
5
-3.75
1
Ses01M_impro01_M030
Why?
1
anger
0.675
9,662
0.260213
-0.333333
0
0.471405
0.942809
0.942809
0
0
0
4
3
1.5
3
4
[ { "feats": [ 0.10550130158662796, -0.5200036764144897, -0.06682927161455154, -0.11295316368341446, 0.9990297555923462, 0.49424663186073303, 0.017319336533546448, 1.4667012691497803, 0.9942278265953064, 0.017682500183582306, -0.4946122467517853, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.08625923097133636, -0.2344205379486084, 0.17312148213386536, -0.05256614461541176, 0.7472061514854431, 0.37529563903808594, 0.03209518641233444, 1.2671544551849365, 0.8533112406730652, -0.03447529673576355, -0.7050608396530151, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.06785023957490921, -0.20210540294647217, 0.1727903038263321, -0.014177913777530193, 0.7650506496429443, 0.40443411469459534, 0.04000220075249672, 1.242321491241455, 0.8498338460922241, -0.05496612936258316, -0.7854909300804138, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.06765831261873245, -0.21857179701328278, 0.1839815080165863, -0.04893104359507561, 0.7733820080757141, 0.3492816388607025, 0.015096936374902725, 1.3283491134643555, 0.8770685195922852, -0.060398370027542114, -0.6575000286102295, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.08059617131948471, -0.22670704126358032, 0.16516686975955963, -0.033350855112075806, 0.7518606781959534, 0.38579580187797546, 0.027430862188339233, 1.246805191040039, 0.8555607199668884, -0.040123242884874344, -0.7396211624145508, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.07191909104585648, -0.22983762621879578, 0.1923416256904602, -0.05355121195316315, 0.7571230530738831, 0.3610619902610779, 0.028233865275979042, 1.2960574626922607, 0.8645612001419067, -0.04827520251274109, -0.6714529991149902, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.07739710807800293, -0.2375558316707611, 0.11894702166318893, -0.044224150478839874, 0.8129764795303345, 0.3479064702987671, 0.025670131668448448, 1.3304321765899658, 0.8772792220115662, -0.03897121921181679, -0.7877296209335327, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.0512065626680851, -0.2239139974117279, 0.1198950931429863, -0.06368307024240494, 0.8356247544288635, 0.3554922342300415, 0.035547323524951935, 1.2969850301742554, 0.8876398801803589, -0.03904242813587189, -0.8211830258369446, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.08587966859340668, -0.23409244418144226, 0.1732892543077469, -0.05196457728743553, 0.7473960518836975, 0.3755062520503998, 0.03200412169098854, 1.2676383256912231, 0.8535966873168945, -0.03454546630382538, -0.7047310471534729, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.08555426448583603, -0.23576320707798004, 0.17345073819160461, -0.05184480920433998, 0.7487251162528992, 0.3760569989681244, 0.030878698453307152, 1.2698088884353638, 0.8549656867980957, -0.03295745700597763, -0.705632209777832, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
3.5
4.5
6.25
-3.75
1
Ses01M_impro01_M031
Why, because I'm sick of talking to you.
1
anger
0.3
7,322
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
3.5
4.5
[ { "feats": [ 0.0765545517206192, -0.2164936065673828, 0.13417945802211761, -0.0021579177118837833, 0.7440373301506042, 0.3690823018550873, 0.0005468440358527005, 1.2003490924835205, 0.8334099650382996, -0.028745166957378387, -0.7202659845352173, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.1397240310907364, -0.2911110818386078, 0.3081126809120178, -0.08497954159975052, 0.7049218416213989, 0.3097897171974182, 0.01830037124454975, 1.1282401084899902, 0.8484556674957275, 0.02597883529961109, -0.7373639941215515, 0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.14502154290676117, -0.23964157700538635, 0.3076859414577484, -0.0710645541548729, 0.7268138527870178, 0.3537934720516205, 0.03641056641936302, 1.0962263345718384, 0.856647253036499, 0.007338263560086489, -0.8139469027519226, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.09082381427288055, -0.2982000708580017, 0.2900724709033966, -0.07985485345125198, 0.6822153329849243, 0.25069260597229004, 0.02961006574332714, 1.1125128269195557, 0.8500210046768188, 0.043963491916656494, -0.6572566032409668, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.14627689123153687, -0.2599877119064331, 0.3088955283164978, -0.06822097301483154, 0.7158203125, 0.3292611837387085, 0.026178063824772835, 1.1041210889816284, 0.855291485786438, 0.00828094594180584, -0.781028687953949, -0.0084...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.12294766306877136, -0.28900086879730225, 0.30061832070350647, -0.07824723422527313, 0.6938770413398743, 0.28831207752227783, 0.018140628933906555, 1.1311290264129639, 0.8513742089271545, 0.039337705820798874, -0.7036108374595642, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.08516281843185425, -0.2772018313407898, 0.30454209446907043, -0.11939121782779694, 0.7041341066360474, 0.3118661642074585, 0.04904233291745186, 1.1099321842193604, 0.849190890789032, 0.0428609661757946, -0.7575494647026062, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.0685982033610344, -0.3022313714027405, 0.30948376655578613, -0.15528938174247742, 0.7307476997375488, 0.3104402422904968, 0.051058053970336914, 1.1404449939727783, 0.8774465918540955, 0.03680760785937309, -0.7860853672027588, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.13968732953071594, -0.29103192687034607, 0.30815184116363525, -0.08487233519554138, 0.704938530921936, 0.3099656403064728, 0.018272927030920982, 1.128179907798767, 0.8485438227653503, 0.025971844792366028, -0.7373719811439514, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.13961026072502136, -0.29191768169403076, 0.30842211842536926, -0.08481369912624359, 0.704964280128479, 0.3101443350315094, 0.018177608028054237, 1.1289689540863037, 0.8483914732933044, 0.026616055518388748, -0.7377879023551941, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4.5
4.5
8.75
-3.75
1
Ses01M_impro01_M032
'Cause you're obviously not talking to me, you're just yelling at me, berating me and telling me I can't fill out forms right.
1
anger
0
7,301
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
1.5
4.5
4.5
[ { "feats": [ 0.10579539835453033, -0.2657437324523926, 0.3090955913066864, -0.06213650852441788, 0.715773344039917, 0.30609145760536194, 0.0326317623257637, 1.1166164875030518, 0.8544979095458984, 0.0164167657494545, -0.7371879816055298, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.026946382597088814, -0.25349780917167664, 0.14244219660758972, 0.023285165429115295, 0.8795824646949768, 0.3112809658050537, -0.0012611737474799156, 1.1673246622085571, 0.8751879334449768, -0.11420813202857971, -1.0355621576309204,...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.06944461911916733, -0.23898781836032867, 0.15516257286071777, 0.007940619252622128, 1.018951654434204, 0.4072418212890625, 0.003541742917150259, 1.2475776672363281, 0.9657678604125977, -0.21933147311210632, -1.1153000593185425, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.028549708425998688, -0.29255983233451843, 0.10062755644321442, 0.03632337972521782, 0.889548122882843, 0.2827014923095703, -0.009332071989774704, 1.1557265520095825, 0.9259669184684753, -0.11710288375616074, -1.0148415565490723, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.013710612431168556, -0.22371752560138702, 0.16217681765556335, 0.019463419914245605, 0.9455990791320801, 0.37015610933303833, 0.010111690498888493, 1.1786702871322632, 0.897328794002533, -0.15838868916034698, -1.1227800846099854, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.007645001169294119, -0.27036285400390625, 0.13120108842849731, 0.033653173595666885, 0.8727983832359314, 0.30841121077537537, 0.0020179091952741146, 1.1557657718658447, 0.8795023560523987, -0.11505002528429031, -1.0261868238449097,...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.09434560686349869, -0.24213393032550812, 0.11429908871650696, -0.08204039931297302, 1.204892635345459, 0.3899233639240265, 0.01253088004887104, 1.665229320526123, 1.284608006477356, -0.09446746855974197, -1.066706657409668, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.1343872845172882, -0.21985085308551788, 0.20861664414405823, -0.10758674144744873, 1.2668828964233398, 0.4327371418476105, 0.07425139099359512, 1.5858558416366577, 1.294053554534912, -0.06799134612083435, -1.1688843965530396, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.020794350653886795, -0.2544664740562439, 0.14253705739974976, 0.022812696173787117, 0.8838798999786377, 0.3135993182659149, 0.0018506343476474285, 1.1680316925048828, 0.8787806034088135, -0.1177583858370781, -1.0405428409576416, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ 0.02261614426970482, -0.25326284766197205, 0.14044435322284698, 0.02281872183084488, 0.8772287368774414, 0.30920320749282837, -0.0009386454476043582, 1.1625670194625854, 0.8746548891067505, -0.1137586385011673, -1.036521315574646, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2.5
2.5
2.5
3.75
-1.25
1
Ses01M_impro04_M014
What?
1
anger
2.15
8,528
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2.5
2.5
[ { "feats": [ -0.01118586864322424, -0.2569754123687744, 0.13129273056983948, 0.04563465341925621, 0.9514948129653931, 0.35615527629852295, 0.001764352316968143, 1.1572786569595337, 0.9390957951545715, -0.15007147192955017, -1.0951104164123535, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.0921461209654808, -0.2274920791387558, 0.3115829527378082, -0.05281069874763489, 0.6793552041053772, 0.4557761549949646, 0.15729233622550964, 1.3226826190948486, 0.7088860869407654, 0.012592175044119358, -0.640048623085022, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.08311675488948822, -0.20114070177078247, 0.3331729769706726, -0.030201315879821777, 0.6886606812477112, 0.4912453591823578, 0.14546166360378265, 1.3246936798095703, 0.7243044972419739, -0.02258244715631008, -0.6699250936508179, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.06686655431985855, -0.2681772708892822, 0.32117313146591187, -0.04801342263817787, 0.7044516205787659, 0.45664843916893005, 0.16373707354068756, 1.356437087059021, 0.7353793978691101, 0.012991002760827541, -0.5842491388320923, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.08735845237970352, -0.21036306023597717, 0.31599947810173035, -0.036279547959566116, 0.6750819087028503, 0.469192773103714, 0.16040411591529846, 1.3027279376983643, 0.7039745450019836, -0.002234861021861434, -0.6561101675033569, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.08209387212991714, -0.24323703348636627, 0.3125597834587097, -0.041347913444042206, 0.6881386637687683, 0.44718730449676514, 0.165617436170578, 1.336837649345398, 0.7185338735580444, 0.014432365074753761, -0.6212954521179199, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.06951133161783218, -0.254342645406723, 0.2621123790740967, -0.05227084830403328, 0.7053539156913757, 0.44932958483695984, 0.14897441864013672, 1.298171043395996, 0.7544954419136047, 0.05419714003801346, -0.7301658391952515, -...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.05010056868195534, -0.2736400365829468, 0.24334824085235596, -0.05931365489959717, 0.7026681900024414, 0.43025270104408264, 0.14538787305355072, 1.2865172624588013, 0.7648245096206665, 0.05003718286752701, -0.7637859582901001, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.09131689369678497, -0.2278684675693512, 0.3112306296825409, -0.05185205489397049, 0.6796615719795227, 0.4561930000782013, 0.15767432749271393, 1.3238465785980225, 0.7096949219703674, 0.012253237888216972, -0.6400030851364136, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.09208234399557114, -0.2274354100227356, 0.3114437758922577, -0.052286360412836075, 0.679449737071991, 0.45594310760498047, 0.1571706086397171, 1.3233015537261963, 0.7092907428741455, 0.012178909033536911, -0.6397894620895386, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
5
4.5
10
-3.75
1
Ses01M_impro04_M018
Okay. Okay no, no, no, no okay no, I need to hear this more. Come on, bring it.
1
anger
0
8,527
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
1.5
5
4.5
[ { "feats": [ 0.06875786930322647, -0.23920975625514984, 0.30852729082107544, -0.007077572867274284, 0.6813097596168518, 0.4536782205104828, 0.1581558734178543, 1.3066470623016357, 0.7140466570854187, 0.007792368996888399, -0.6381215453147888, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.11536343395709991, -0.032038766890764236, 0.21548819541931152, -0.10844288021326065, 0.7083830833435059, 0.3437003493309021, 0.11456315964460373, 1.155890941619873, 0.8098539113998413, -0.09005913138389587, -0.8451804518699646, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.10390587151050568, -0.03189530223608017, 0.20316778123378754, -0.07090684771537781, 0.7402361035346985, 0.3771997094154358, 0.12821128964424133, 1.1683143377304077, 0.7958481311798096, -0.1037939041852951, -0.9104073643684387, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.07251981645822525, -0.020710447803139687, 0.23735825717449188, -0.1107155829668045, 0.750105619430542, 0.33648988604545593, 0.08994130790233612, 1.2070624828338623, 0.8453342318534851, -0.1067478358745575, -0.8441995978355408, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.11788387596607208, -0.03896964341402054, 0.20873719453811646, -0.0997827872633934, 0.7281140089035034, 0.35888925194740295, 0.13018858432769775, 1.147860050201416, 0.8031191229820251, -0.08880835026502609, -0.8877487182617188, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.104933962225914, -0.03397045284509659, 0.22376760840415955, -0.10697421431541443, 0.7247897386550903, 0.3391892611980438, 0.106057308614254, 1.177124261856079, 0.8272579312324524, -0.09286503493785858, -0.8308298587799072, 0....
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.09488993138074875, -0.1001102551817894, 0.22949472069740295, -0.13627345860004425, 0.8573880791664124, 0.35765236616134644, 0.0897892639040947, 1.190732479095459, 0.8900869488716125, -0.06000881269574165, -1.005501389503479, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.09538305550813675, -0.14388184249401093, 0.25223034620285034, -0.18388710916042328, 0.9842252135276794, 0.355118989944458, 0.062070731073617935, 1.2713093757629395, 0.9428325891494751, -0.10856418311595917, -1.1179924011230469, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.11474420875310898, -0.030953316017985344, 0.21529167890548706, -0.10827839374542236, 0.7088180184364319, 0.3441620171070099, 0.11413649469614029, 1.1559417247772217, 0.8103199601173401, -0.09047283232212067, -0.8455907702445984, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.11527261883020401, -0.03256811946630478, 0.2154165804386139, -0.10863016545772552, 0.7092193961143494, 0.34414446353912354, 0.1152939647436142, 1.1564176082611084, 0.8102023601531982, -0.09034667909145355, -0.845909833908081, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
2
4.5
5
8.75
-2.5
1
Ses01M_impro04_M023
I'm like a sponge I'm like soaked up with all this information for like three years I'm just dying for a job to like put it in to.
1
anger
0.125
8,291
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
2
4.5
5
[ { "feats": [ 0.06810968369245529, -0.031321533024311066, 0.2024676501750946, -0.0818018838763237, 0.7103667259216309, 0.3428927958011627, 0.11460466682910919, 1.1155650615692139, 0.7988874316215515, -0.10407422482967377, -0.8545843958854675, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1366916000843048, -0.16591322422027588, 0.1468343585729599, -0.13971418142318726, 0.7119143605232239, 0.2342589944601059, 0.16923043131828308, 1.1452847719192505, 0.8622952699661255, -0.052268847823143005, -0.6822235584259033, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1548396199941635, -0.15285144746303558, 0.1402180790901184, -0.0951123982667923, 0.7612160444259644, 0.2842605412006378, 0.17868207395076752, 1.1626651287078857, 0.8904677629470825, -0.05828286334872246, -0.7510879635810852, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1193949356675148, -0.19271515309810638, 0.1632293462753296, -0.14398419857025146, 0.7156418561935425, 0.19032950699329376, 0.12093953043222427, 1.159618616104126, 0.870855450630188, -0.03961284086108208, -0.6048018336296082, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.14593833684921265, -0.1510111540555954, 0.1458735466003418, -0.11487793922424316, 0.7367776036262512, 0.262058824300766, 0.16949793696403503, 1.1404211521148682, 0.8773468732833862, -0.05966397747397423, -0.7191768288612366, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.12797339260578156, -0.17830008268356323, 0.1588211953639984, -0.14945195615291595, 0.7268916964530945, 0.21064874529838562, 0.15442879498004913, 1.1606721878051758, 0.8733052611351013, -0.04369663447141647, -0.6374236941337585, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.10729183256626129, -0.17318463325500488, 0.14039453864097595, -0.17126168310642242, 0.7449055314064026, 0.22784177958965302, 0.13367225229740143, 1.1161106824874878, 0.9090589284896851, -0.027998648583889008, -0.7181016802787781, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.0998367965221405, -0.18404710292816162, 0.12778200209140778, -0.19244812428951263, 0.8174232244491577, 0.21704111993312836, 0.12999658286571503, 1.1560007333755493, 0.9450764656066895, -0.04958200082182884, -0.752987802028656, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.1363939344882965, -0.16554251313209534, 0.14717380702495575, -0.13951478898525238, 0.7123337984085083, 0.23416103422641754, 0.16870956122875214, 1.1457016468048096, 0.8627697229385376, -0.05260584130883217, -0.6814740300178528, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.13663195073604584, -0.16574059426784515, 0.1468881219625473, -0.13966475427150726, 0.7120674848556519, 0.23419120907783508, 0.16900232434272766, 1.1453620195388794, 0.8624441623687744, -0.05239996314048767, -0.6819795966148376, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
3
1.5
4
4.5
7.5
-3.75
1
Ses01M_impro05_M004
Are you insinuating that I don't have a college education and that- for some reason that makes you a better person than I am?
1
anger
0.075
2,222
0.505719
null
null
0.471405
0
0.471405
0
null
0
4
3
1.5
4
4.5
[ { "feats": [ 0.11950236558914185, -0.16021420061588287, 0.1337525099515915, -0.09753146767616272, 0.7090872526168823, 0.22996868193149567, 0.13832959532737732, 1.110490083694458, 0.8673856854438782, -0.05217840522527695, -0.679169774055481, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }