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
0
3
2.5
2.5
3.75
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1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
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baseline
baseline
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0
3
2.5
2.5
3.75
0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
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0
0
0.471405
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null
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4
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3
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speed_0.9
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0
3
2.5
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1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
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0
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null
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4
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speed_1.1
speed_perturbation
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0
3
2.5
2.5
3.75
0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
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0
0
0.471405
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null
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0
4
3
3
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speed_0.95
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0
3
2.5
2.5
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0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
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0
0
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0
4
3
3
2.5
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speed_1.05
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0
3
2.5
2.5
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0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
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0
0
0.471405
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0
4
3
3
2.5
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light_noise
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0
3
2.5
2.5
3.75
0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
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medium_noise
gaussian_noise
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0
3
2.5
2.5
3.75
0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
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volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2.5
2.5
3.75
0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
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volume_up
volume_scale
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0
3
2.5
2.5
3.75
0
1
Ses01F_impro05_M031
Oh. My name is Sean. Hi.
1
neutral
0.05
3,225
0.421433
-0.333333
0
0
0.471405
0.471405
null
0
0
4
3
3
2.5
2.5
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low_pass
low_pass_filter
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
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baseline
baseline
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
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speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
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speed_1.1
speed_perturbation
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
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speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
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speed_1.05
speed_perturbation
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
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light_noise
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
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medium_noise
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
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2.5
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volume_down
volume_scale
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
2.5
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volume_up
volume_scale
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0
2.5
2.5
2.5
3.75
-1.25
1
Ses01F_impro05_M034
If you want, you can write a letter. I can give you the address. Yes. An angry--
1
neutral
0.175
7,318
0.327556
-0.333333
0
0.471405
0.471405
0.471405
0
0
0
4
3
2.5
2.5
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low_pass
low_pass_filter
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0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
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1.5
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baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
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speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
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1.5
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speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
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1.5
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speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.14037030935287476, -0.15575091540813446, 0.16776637732982635, -0.02930447831749916, 0.7567806243896484, 0.4115796387195587, 0.060097359120845795, 1.1593884229660034, 0.8803778290748596, -0.06668572872877121, -0.7195752859115601, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.19241277873516083, -0.2607148587703705, 0.1946728378534317, -0.11700073629617691, 1.1841055154800415, 0.5211886167526245, 0.07547169923782349, 1.6729590892791748, 1.078155279159546, -0.030451567843556404, -1.0007280111312866, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.2387620508670807, -0.2757628560066223, 0.36499759554862976, -0.21138960123062134, 1.5900228023529053, 0.652188777923584, 0.21895192563533783, 2.2384753227233887, 1.1799440383911133, -0.12152242660522461, -1.27865469455719, -0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.13555018603801727, -0.15040546655654907, 0.15055982768535614, -0.02688997983932495, 0.7457311153411865, 0.4322870075702667, 0.07021872699260712, 1.1292805671691895, 0.8764466047286987, -0.06161951273679733, -0.7491676807403564, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.13420580327510834, -0.1487276405096054, 0.1467251479625702, -0.026143377646803856, 0.7419803738594055, 0.42935916781425476, 0.06941342353820801, 1.1252127885818481, 0.8746592402458191, -0.06145095080137253, -0.7480325102806091, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
1.5
2.5
-1.25
1
Ses01F_impro05_M035
Or you can make a phone call. But I think a letter might be a little more-- in my impression, letters have more...
1
neutral
0.65
8,434
0.302907
-0.333333
0
0.471405
0.471405
0.816497
0
0
0
4
3
2.5
2
1.5
[ { "feats": [ 0.15345706045627594, -0.1578783541917801, 0.13808369636535645, 0.012090093456208706, 0.7403356432914734, 0.4146965742111206, 0.039154790341854095, 1.1260015964508057, 0.8629557490348816, -0.030690213665366173, -0.7549639344215393, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ 0.010782633908092976, -0.21086588501930237, 0.180396169424057, 0.12177211791276932, 1.0463402271270752, 0.32876044511795044, 0.008679288439452648, 1.5179407596588135, 0.9340770840644836, -0.03315502777695656, -1.0291496515274048, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ -0.018489347770810127, -0.22954851388931274, 0.15797889232635498, 0.0849907174706459, 1.2627800703048706, 0.41486454010009766, 0.05573737621307373, 1.6086467504501343, 0.9621500372886658, -0.12324734032154083, -1.0651203393936157, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ -0.029888533055782318, -0.2678317427635193, 0.13494810461997986, 0.12552575767040253, 0.9565321207046509, 0.23348896205425262, -0.03486289829015732, 1.430687427520752, 0.854819118976593, -0.08315657079219818, -0.9057484865188599, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ 0.035239022225141525, -0.20303575694561005, 0.1887666881084442, 0.11099983751773834, 1.084922194480896, 0.3161049485206604, 0.026034414768218994, 1.4764736890792847, 0.909385085105896, -0.011842073872685432, -1.0522321462631226, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ -0.01082046702504158, -0.23187312483787537, 0.18036431074142456, 0.1152215301990509, 0.9909217953681946, 0.26383060216903687, -0.031682338565588, 1.486484408378601, 0.8863356709480286, -0.02332390658557415, -0.9482868909835815, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ 0.3180195093154907, -0.4348321855068207, 0.3821171224117279, -0.23787112534046173, 1.6626249551773071, 0.5446627736091614, 0.421292245388031, 1.6277544498443604, 1.3422091007232666, 0.25790494680404663, -1.5175981521606445, -0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ 0.35141420364379883, -0.5010729432106018, 0.36615249514579773, -0.3035731613636017, 1.6154804229736328, 0.5205869078636169, 0.5448073744773865, 1.7013490200042725, 1.2676262855529785, 0.2738778293132782, -1.4544761180877686, 0....
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ -0.0013099175412207842, -0.21397541463375092, 0.18043756484985352, 0.12233646214008331, 1.0306938886642456, 0.3234497010707855, 0.0003737459483090788, 1.5091829299926758, 0.9224086403846741, -0.03451020270586014, -1.0115365982055664,...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ 0.011082051321864128, -0.2102488875389099, 0.18073713779449463, 0.1247311383485794, 1.0603210926055908, 0.3273003399372101, 0.011904840357601643, 1.5261821746826172, 0.9401110410690308, -0.03510337695479393, -1.0332939624786377, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3
2
2.5
2.5
0
2
Ses01F_impro06_F003
That's sweet.
2
neutral
0.125
8,332
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3
2
2.5
[ { "feats": [ 0.10389266908168793, -0.32236528396606445, 0.16658179461956024, 0.09244002401828766, 1.156820297241211, 0.3161967694759369, -0.017880186438560486, 1.5383219718933105, 0.922711193561554, -0.11092866957187653, -1.055138349533081, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.249824658036232, -0.04392044246196747, -0.015911391004920006, 0.05206408351659775, 0.9994874000549316, 0.46270230412483215, 0.13833680748939514, 1.2602542638778687, 1.033280611038208, 0.04360852763056755, -1.3389877080917358, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.2693013846874237, -0.08800706267356873, 0.02017953060567379, 0.10344301164150238, 1.2914042472839355, 0.5925003886222839, 0.11198057979345322, 1.5545873641967773, 1.141395092010498, 0.030329829081892967, -1.5148098468780518, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.26135945320129395, -0.11971578747034073, -0.0319172739982605, 0.054972413927316666, 1.1460696458816528, 0.47326549887657166, 0.04071791097521782, 1.4827790260314941, 1.132919430732727, 0.02780136838555336, -1.256529450416565, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.3202357590198517, -0.024206964299082756, -0.00827204342931509, 0.08421233296394348, 1.1439522504806519, 0.5127777457237244, 0.14210164546966553, 1.4033756256103516, 1.0872633457183838, 0.07858092337846756, -1.423012137413025, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.2542831599712372, -0.09971005469560623, -0.015581043437123299, 0.0421874113380909, 1.0560413599014282, 0.47687456011772156, 0.10046932101249695, 1.3300330638885498, 1.0611952543258667, 0.025129081681370735, -1.2912169694900513, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.3351447582244873, -0.2316712886095047, 0.33537060022354126, -0.46058258414268494, 1.9579946994781494, 0.6626743674278259, 0.5971864461898804, 2.0410361289978027, 1.2522556781768799, 0.1826244294643402, -2.0495967864990234, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.25773170590400696, -0.37817665934562683, 0.4108442962169647, -0.47267523407936096, 2.0699098110198975, 0.6816807985305786, 0.824017345905304, 1.9114761352539062, 1.1847598552703857, 0.26826104521751404, -2.2180380821228027, 0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.24960140883922577, -0.05678173154592514, -0.014813676476478577, 0.05065818876028061, 1.0049967765808105, 0.45921963453292847, 0.12625230848789215, 1.2677761316299438, 1.0347014665603638, 0.04196343570947647, -1.323594331741333, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.25163882970809937, -0.04346906393766403, -0.016168640926480293, 0.054502155631780624, 1.018337607383728, 0.46659448742866516, 0.14079327881336212, 1.2851448059082031, 1.0469492673873901, 0.05049331486225128, -1.348689079284668, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.5
2
3
2.5
1.25
2
Ses01F_impro06_F004
Thank you.
2
neutral
0.2
8,333
0.302907
-0.333333
0
0.816497
0.471405
0.471405
0
0
0
4
3
3.5
2
3
[ { "feats": [ 0.2287428379058838, -0.21529635787010193, 0.14898556470870972, 0.017071835696697235, 1.1393123865127563, 0.5114181041717529, 0.1766476184129715, 1.4026051759719849, 1.0431976318359375, 0.012267548590898514, -1.3776860237121582, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
3,243
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.15808403491973877, -0.1083758994936943, 0.1917344331741333, -0.1913139969110489, 0.9609767198562622, 0.4967202842235565, 0.20544631779193878, 1.5487254858016968, 0.8156924247741699, 0.04313838109374046, -0.9519951939582825, -...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
3,243
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.16121339797973633, -0.04864271730184555, 0.15704280138015747, -0.14513146877288818, 0.9700685143470764, 0.5558529496192932, 0.230805441737175, 1.522571086883545, 0.8126505017280579, 0.06566465646028519, -1.0286303758621216, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
3.5
5
-1.25
2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
3,243
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3.5
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speed_1.1
speed_perturbation
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0
2.5
3
3.5
5
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Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
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null
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4
3
2.5
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3.5
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speed_0.95
speed_perturbation
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0
2.5
3
3.5
5
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2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
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4
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speed_1.05
speed_perturbation
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0
2.5
3
3.5
5
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2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
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null
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4
3
2.5
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3.5
[ { "feats": [ 0.16117650270462036, -0.26988568902015686, 0.31539374589920044, -0.2561054527759552, 1.7192277908325195, 0.7680938839912415, 0.30825358629226685, 2.443284273147583, 1.2602314949035645, -0.0054280683398246765, -1.5125855207443237, ...
light_noise
gaussian_noise
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0
2.5
3
3.5
5
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2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
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null
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4
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3.5
[ { "feats": [ 0.18835152685642242, -0.16603492200374603, 0.39155808091163635, -0.3046731650829315, 1.8805347681045532, 1.0604127645492554, 0.42018210887908936, 2.6480307579040527, 1.3758107423782349, -0.023148007690906525, -1.933560848236084, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
3,243
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0
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0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.15792249143123627, -0.10578278452157974, 0.18966329097747803, -0.1901775300502777, 0.9606082439422607, 0.49884116649627686, 0.20644663274288177, 1.5433958768844604, 0.8163561224937439, 0.043387070298194885, -0.9557864665985107, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
3,243
0.421433
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0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.1574476808309555, -0.1081162542104721, 0.19069677591323853, -0.1904054880142212, 0.961435079574585, 0.49727490544319153, 0.20662134885787964, 1.547204613685608, 0.8155256509780884, 0.0432167574763298, -0.9524540305137634, -0....
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
2
Ses01F_impro06_F009
this woman came up and, you know, it was hers. It was her person that was there.
2
neutral
0.25
3,243
0.421433
-0.333333
0
0.471405
0
0.471405
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.1746215671300888, -0.11447738856077194, 0.16484421491622925, -0.16558048129081726, 1.0041658878326416, 0.5408880114555359, 0.2330896556377411, 1.5582120418548584, 0.8328632712364197, 0.024630242958664894, -1.0366812944412231, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
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0
0
0
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null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.13836336135864258, -0.1678364872932434, 0.27313029766082764, -0.010786741971969604, 0.8668668866157532, 0.4615035951137543, 0.19320794939994812, 1.2891592979431152, 0.8024519085884094, -0.07609031349420547, -0.9796999096870422, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.11525759845972061, -0.1297362893819809, 0.2607704997062683, 0.018662957474589348, 0.8771177530288696, 0.4857020378112793, 0.2177366316318512, 1.2221546173095703, 0.7847216725349426, -0.06018628925085068, -1.0552717447280884, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.1344204545021057, -0.1734350621700287, 0.25527188181877136, -0.01404197234660387, 0.84306401014328, 0.4179467558860779, 0.1690499186515808, 1.2284170389175415, 0.7868761420249939, -0.07561757415533066, -0.9067417979240417, 0....
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.13227589428424835, -0.1512172520160675, 0.2700200080871582, 0.0011044213315472007, 0.882493257522583, 0.48121845722198486, 0.20047922432422638, 1.2651094198226929, 0.7970426678657532, -0.06289569288492203, -1.0220626592636108, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.14420892298221588, -0.17284394800662994, 0.26377665996551514, -0.013356887735426426, 0.866226315498352, 0.4412580132484436, 0.17252467572689056, 1.2749780416488647, 0.7934691309928894, -0.06814020872116089, -0.9591689109802246, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.1967981606721878, -0.28251299262046814, 0.27717065811157227, -0.15109944343566895, 1.4923394918441772, 0.5815522074699402, 0.12704192101955414, 1.955960750579834, 1.1303409337997437, -0.05740068480372429, -1.4532134532928467, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.20898981392383575, -0.155063658952713, 0.3732249438762665, -0.2002062052488327, 1.6473615169525146, 0.8070321083068848, 0.23778659105300903, 2.4626379013061523, 1.1888971328735352, -0.09253384917974472, -1.6184028387069702, -...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.13828378915786743, -0.16843779385089874, 0.2731638252735138, -0.010743051767349243, 0.8666657209396362, 0.4613965153694153, 0.192152202129364, 1.2857729196548462, 0.8022605180740356, -0.07618756592273712, -0.9784282445907593, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.13653956353664398, -0.1672907918691635, 0.2717788517475128, -0.01016184687614441, 0.8647401332855225, 0.46004077792167664, 0.1925250142812729, 1.2841897010803223, 0.8009618520736694, -0.076029472053051, -0.9787692427635193, 0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F016
I brought- I brought Chuck with me. He went to Redlands, yeah, for the day. We ran through the sprinklers.
2
neutral
0.625
946
0.55286
-0.333333
0
0
0
0.471405
null
null
0
4
3
4
3
3.5
[ { "feats": [ 0.12104760855436325, -0.1674717664718628, 0.2880524694919586, 0.009003919549286366, 0.8681650161743164, 0.451171875, 0.16078580915927887, 1.2321215867996216, 0.7934980392456055, -0.07294846326112747, -0.9822865128517151, 0.0189...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.10255997627973557, -0.10178302228450775, 0.3101986050605774, -0.013515893369913101, 0.8953394889831543, 0.48391005396842957, 0.12018408626317978, 1.3817888498306274, 0.8032715320587158, -0.019666852429509163, -1.0919513702392578, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.0888887345790863, -0.07346399128437042, 0.26592016220092773, 0.014208592474460602, 0.9242358803749084, 0.5048821568489075, 0.1097143292427063, 1.3766565322875977, 0.7902172207832336, -0.037256576120853424, -1.1627466678619385, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.1104084700345993, -0.12054595351219177, 0.27691763639450073, -0.0031950294505804777, 0.8691694736480713, 0.4397418200969696, 0.08958183974027634, 1.3318699598312378, 0.8054656386375427, -0.013285387307405472, -1.023566484451294, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.09700563549995422, -0.09690863639116287, 0.3018655478954315, 0.004321691580116749, 0.9507612586021423, 0.504202127456665, 0.12624970078468323, 1.4307583570480347, 0.8073813915252686, -0.0327581912279129, -1.1376094818115234, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.10309606045484543, -0.11259624361991882, 0.3096863031387329, -0.01180639024823904, 0.8835106492042542, 0.46564528346061707, 0.11120413988828659, 1.3338263034820557, 0.8038856387138367, -0.015090533532202244, -1.0557094812393188, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.14847595989704132, -0.19923102855682373, 0.22473682463169098, -0.20323236286640167, 1.773553490638733, 0.6973370909690857, 0.33037588000297546, 2.329069137573242, 1.0555765628814697, 0.17766058444976807, -1.8865560293197632, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.15375860035419464, -0.09962079674005508, 0.21703295409679413, -0.2982606887817383, 2.0371947288513184, 1.0303317308425903, 0.43955811858177185, 2.703707218170166, 1.0781787633895874, 0.026683799922466278, -2.1081655025482178, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.10092703998088837, -0.10105304419994354, 0.30856746435165405, -0.01011434942483902, 0.8944936990737915, 0.483291894197464, 0.1187189444899559, 1.3773044347763062, 0.8045755624771118, -0.021198857575654984, -1.0914812088012695, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.1011212170124054, -0.10101395100355148, 0.30783459544181824, -0.011864572763442993, 0.8931962251663208, 0.48250246047973633, 0.11920393258333206, 1.3774125576019287, 0.8025596141815186, -0.019829371944069862, -1.0899442434310913, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
4
3
3.5
5
2.5
2
Ses01F_impro06_F018
Yeah. It's huge. Redlands is an old city so they have lots and lots of stones.
2
neutral
0.625
5,102
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
4
3
3.5
[ { "feats": [ 0.1037447527050972, -0.12723927199840546, 0.2735690772533417, 0.02382522076368332, 0.91571044921875, 0.458080530166626, 0.09566780179738998, 1.3847990036010742, 0.8223913311958313, -0.012514266185462475, -1.1202516555786133, -0...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.0928608849644661, 0.0344061404466629, 0.10705072432756424, 0.06151728332042694, 1.3311573266983032, 0.7416922450065613, 0.3549550473690033, 1.5505048036575317, 1.2879232168197632, 0.060199227184057236, -1.5061969757080078, -0...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.04956020787358284, -0.09403795003890991, 0.1326543539762497, 0.05419189855456352, 1.344807505607605, 0.7245520949363708, 0.38061967492103577, 1.5559717416763306, 1.1556142568588257, 0.0025495695881545544, -1.5021905899047852, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.05688697099685669, 0.00024321000091731548, 0.05055610463023186, 0.06204575300216675, 1.402458667755127, 0.6778278350830078, 0.31917333602905273, 1.678041934967041, 1.3239680528640747, 0.026586271822452545, -1.3660942316055298, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.08564043790102005, -0.023425009101629257, 0.11857035756111145, 0.06036277860403061, 1.3159563541412354, 0.7339715957641602, 0.3727279007434845, 1.4734642505645752, 1.2018510103225708, 0.029895322397351265, -1.5455602407455444, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.08865977823734283, 0.0028049773536622524, 0.09382376819849014, 0.061907585710287094, 1.3787286281585693, 0.7124404907226562, 0.3372071385383606, 1.632193922996521, 1.3008676767349243, 0.07634877413511276, -1.4585926532745361, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.27237844467163086, -0.4514933228492737, 0.48508310317993164, -0.4182455837726593, 1.9996825456619263, 0.692972719669342, 0.8906489014625549, 1.9573088884353638, 1.2454441785812378, 0.3646034002304077, -2.000032663345337, 0.02...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.21109648048877716, -0.451289564371109, 0.4758542776107788, -0.4618978798389435, 2.0710747241973877, 0.6028540730476379, 0.8963289260864258, 1.9109752178192139, 1.2416409254074097, 0.24518120288848877, -2.1511099338531494, 0.1...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.09349807351827621, 0.013328822329640388, 0.08930286020040512, 0.07020650804042816, 1.3189467191696167, 0.722006618976593, 0.3258054852485657, 1.5293288230895996, 1.2715086936950684, 0.03905867040157318, -1.479256272315979, -0...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.0875767171382904, 0.024481266736984253, 0.11483190953731537, 0.053737662732601166, 1.3476717472076416, 0.7487857341766357, 0.3703785538673401, 1.5740067958831787, 1.2968076467514038, 0.07450950145721436, -1.5129573345184326, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
2
2.5
2.5
-1.25
2
Ses01F_impro06_F019
Yeah.
2
neutral
0.25
5,101
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
2
2.5
[ { "feats": [ 0.0591217540204525, -0.18096107244491577, 0.19167682528495789, 0.011485758237540722, 1.2289292812347412, 0.6098057627677917, 0.3201635181903839, 1.4975265264511108, 1.0591776371002197, -0.06774819642305374, -1.4118839502334595, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.0691431313753128, -0.10066380351781845, 0.2347400188446045, -0.12250254303216934, 0.9966937899589539, 0.5472450256347656, 0.26682332158088684, 1.4258077144622803, 0.9883705973625183, -0.09173165261745453, -1.1509820222854614, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.05891399085521698, -0.09448792785406113, 0.22098463773727417, -0.10883589833974838, 1.042914867401123, 0.6041576266288757, 0.2660492956638336, 1.4571000337600708, 0.9975548386573792, -0.09598210453987122, -1.2209219932556152, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.06471007317304611, -0.10275865346193314, 0.23314881324768066, -0.10517416894435883, 0.9779238104820251, 0.518700361251831, 0.22673863172531128, 1.3766878843307495, 1.0198098421096802, -0.114899180829525, -1.102192759513855, -...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.08443138003349304, -0.11448986083269119, 0.23042532801628113, -0.11192581802606583, 1.0480055809020996, 0.573757529258728, 0.27597662806510925, 1.4799532890319824, 0.9943922758102417, -0.0756177008152008, -1.202901840209961, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.07334564626216888, -0.11193567514419556, 0.2389668971300125, -0.11609958857297897, 0.9973866939544678, 0.5292356610298157, 0.23924903571605682, 1.4235267639160156, 0.9992073178291321, -0.0877251848578453, -1.1329646110534668, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.21627819538116455, -0.24055072665214539, 0.24644403159618378, -0.22388353943824768, 1.3123018741607666, 0.5698214173316956, 0.14225199818611145, 1.684887170791626, 1.1136163473129272, -0.009223109111189842, -1.567625641822815, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.23315119743347168, -0.13770660758018494, 0.33371788263320923, -0.24777457118034363, 1.5894635915756226, 0.8449986577033997, 0.2780701816082001, 2.052370548248291, 1.113451361656189, -0.15305235981941223, -1.7942841053009033, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.07126059383153915, -0.09924972057342529, 0.23557093739509583, -0.12306411564350128, 1.0016697645187378, 0.5516322255134583, 0.2671496868133545, 1.4281013011932373, 0.9924190640449524, -0.09305249154567719, -1.1523557901382446, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.06779986619949341, -0.09986706078052521, 0.23335227370262146, -0.12088291347026825, 0.9958751797676086, 0.5464090704917908, 0.26670563220977783, 1.423076868057251, 0.9886231422424316, -0.09160999953746796, -1.15070641040802, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.5
3
3.5
5
-1.25
1
Ses01F_impro06_M001
Is there anything I can get you? Do you want me to take care of anything for you or...?
1
neutral
0.25
5,150
0.392675
-0.333333
0
0.471405
0
0.816497
0
null
0
4
3
2.5
3
3.5
[ { "feats": [ 0.09058915078639984, -0.10700947046279907, 0.24381132423877716, -0.09624232351779938, 1.017809271812439, 0.5457423329353333, 0.27312687039375305, 1.4438706636428833, 0.981090247631073, -0.06573845446109772, -1.1625581979751587, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }