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float64
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DIS
float64
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COL
float64
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LOUD
float64
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UTMOS
float64
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float64
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We talked of the side show in the circus.
kani_tts_2_pt_david_en
4.285011
4.590177
4.684814
4.528454
4.53566
2.224609
0.222222
0.025
0.926037
We talked of the side show in the circus.
kani_tts_2_pt_john_en
3.488938
2.723116
4.38952
3.756057
3.405025
3.447266
0.222222
0.025
0.914615
We talked of the side show in the circus.
kani_tts_2_pt_linda_en
4.909959
4.604479
4.807322
4.593947
4.707588
3.054688
0.222222
0.025
0.917971
We talked of the side show in the circus.
kani_tts_2_pt_mila_en
4.716863
4.443432
4.728917
4.376412
4.447857
3.009766
0
0
0.937526
We talked of the side show in the circus.
kani_tts_2_pt_robert_en
4.32383
4.039443
4.67101
4.431373
4.371826
3.410156
0.222222
0.025
0.933807
Use a pencil to write the first draft.
kani_tts_2_pt_david_en
4.463489
4.012303
4.60336
4.324788
4.54553
4.289063
0
0
0.923077
Use a pencil to write the first draft.
kani_tts_2_pt_john_en
4.020257
2.936931
4.260178
4.128021
4.149324
3.841797
0.125
0.081081
0.933272
Use a pencil to write the first draft.
kani_tts_2_pt_linda_en
4.71778
4.367071
4.622159
4.495892
4.605736
3.474609
0.125
0.162162
0.900403
Use a pencil to write the first draft.
kani_tts_2_pt_mila_en
4.396869
4.151756
4.514831
4.295322
4.086416
3.386719
0
0
0.928011
Use a pencil to write the first draft.
kani_tts_2_pt_robert_en
4.193625
4.118404
4.684622
4.236187
4.418792
2.8125
0
0
0.948342
He ran half way to the hardware store.
kani_tts_2_pt_david_en
4.802952
4.511759
4.69502
4.525673
4.66363
3.287109
0.25
0.027027
0.892672
He ran half way to the hardware store.
kani_tts_2_pt_john_en
4.59061
4.275997
4.69614
4.426993
4.427524
3.101563
0.25
0.027027
0.887256
He ran half way to the hardware store.
kani_tts_2_pt_linda_en
4.763668
4.634398
4.776422
4.587424
4.644571
3.939453
0.625
0.378378
0.927025
He ran half way to the hardware store.
kani_tts_2_pt_mila_en
4.368724
4.163008
4.563134
4.22739
4.020948
3.667969
0.25
0.027027
0.931068
He ran half way to the hardware store.
kani_tts_2_pt_robert_en
3.991646
3.093069
4.486485
4.193643
4.270924
2.931641
0.25
0.027027
0.882615
The clock struck to mark the third period.
kani_tts_2_pt_david_en
4.866308
4.62896
4.778229
4.598173
4.717406
3.949219
0.125
0.073171
0.921218
The clock struck to mark the third period.
kani_tts_2_pt_john_en
4.148115
3.139916
4.443902
4.19593
4.277741
2.865234
0.125
0.073171
0.906444
The clock struck to mark the third period.
kani_tts_2_pt_linda_en
4.986629
4.732172
4.753165
4.610568
4.734366
3.369141
0.375
0.268293
0.92222
The clock struck to mark the third period.
kani_tts_2_pt_mila_en
4.52275
4.159819
4.325737
4.211883
4.150068
3.132813
0
0
0.8963
The clock struck to mark the third period.
kani_tts_2_pt_robert_en
4.18911
4.283856
4.618407
4.306072
4.407525
2.654297
0
0
0.931549
A small creek cut across the field.
kani_tts_2_pt_david_en
4.587647
4.456624
4.527034
4.437606
4.588968
3.458984
0
0
0.8946
A small creek cut across the field.
kani_tts_2_pt_john_en
3.595406
2.988193
4.228049
3.929359
4.027412
2.794922
0.285714
0.205882
0.935752
A small creek cut across the field.
kani_tts_2_pt_linda_en
4.88835
4.667691
4.796936
4.623654
4.784248
3.417969
0
0
0.930537
A small creek cut across the field.
kani_tts_2_pt_mila_en
4.650086
3.91561
4.529883
4.30616
4.1325
3.382813
0
0
0.902397
A small creek cut across the field.
kani_tts_2_pt_robert_en
4.55858
4.505059
4.638293
4.454001
4.641774
3.837891
0
0
0.92068
Cars and busses stalled in snow drifts.
kani_tts_2_pt_david_en
4.49751
4.312918
4.764588
4.610194
4.730048
1.858398
0.428571
22.921053
0.605504
Cars and busses stalled in snow drifts.
kani_tts_2_pt_john_en
4.765049
4.332477
4.543768
4.432308
4.619641
3.759766
0.428571
0.052632
0.918075
Cars and busses stalled in snow drifts.
kani_tts_2_pt_linda_en
4.615224
4.336937
4.750552
4.543004
4.568738
3.625
0.428571
0.052632
0.908638
Cars and busses stalled in snow drifts.
kani_tts_2_pt_mila_en
4.447472
4.186959
4.605101
4.2855
3.750711
3.517578
0.428571
0.052632
0.936826
Cars and busses stalled in snow drifts.
kani_tts_2_pt_robert_en
4.355083
3.962356
4.60925
4.424191
4.469185
2.791016
0.428571
0.052632
0.929773
The set of china hit the floor with a crash.
kani_tts_2_pt_david_en
3.761828
3.898708
4.428617
4.134712
4.26453
3.134766
0.2
0.116279
0.923085
The set of china hit the floor with a crash.
kani_tts_2_pt_john_en
4.070074
3.559012
4.498775
4.044055
4.048271
3.388672
0.1
0.069767
0.935287
The set of china hit the floor with a crash.
kani_tts_2_pt_linda_en
4.666768
4.397227
4.771272
4.630488
4.606768
3.738281
0
0
0.923486
The set of china hit the floor with a crash.
kani_tts_2_pt_mila_en
4.738491
4.537793
4.671136
4.296128
4.238568
3.304688
0
0
0.938942
The set of china hit the floor with a crash.
kani_tts_2_pt_robert_en
4.42617
4.292457
4.675872
4.408556
4.499127
2.951172
0
0
0.941483
This is a grand season for hikes on the road.
kani_tts_2_pt_david_en
4.340105
4.350119
4.566691
4.050086
4.385437
3.625
0.1
0.113636
0.91922
This is a grand season for hikes on the road.
kani_tts_2_pt_john_en
3.999466
3.069658
4.690453
4.41488
4.341756
3.398438
0.2
0.113636
0.893399
This is a grand season for hikes on the road.
kani_tts_2_pt_linda_en
4.824662
4.723665
4.798577
4.51572
4.671054
3.591797
0
0
0.942669
This is a grand season for hikes on the road.
kani_tts_2_pt_mila_en
4.468417
4.422423
4.627657
4.261095
4.070093
3.125
0
0
0.948423
This is a grand season for hikes on the road.
kani_tts_2_pt_robert_en
3.935506
3.525029
4.478921
4.015239
4.165809
3.626953
0
0
0.894386
The dune rose from the edge of the water.
kani_tts_2_pt_david_en
4.809079
4.613655
4.741312
4.554292
4.715312
3.714844
0
0
0.937382
The dune rose from the edge of the water.
kani_tts_2_pt_john_en
3.449621
2.470452
4.300292
4.08019
4.093568
2.707031
0.444444
0.45
0.745031
The dune rose from the edge of the water.
kani_tts_2_pt_linda_en
4.664436
4.255202
4.590429
4.549928
4.572274
3.554688
0.222222
0.15
0.896685
The dune rose from the edge of the water.
kani_tts_2_pt_mila_en
3.684561
4.119784
4.166626
3.513763
3.359798
3.148438
0.111111
0.075
0.908213
The dune rose from the edge of the water.
kani_tts_2_pt_robert_en
4.205384
4.073998
4.564849
4.305578
4.394049
2.755859
0
0
0.916763
Those words were the cue for the actor to leave.
kani_tts_2_pt_david_en
4.337304
3.971009
4.473233
4.129704
4.473715
3.703125
0.4
0.404255
0.894173
Those words were the cue for the actor to leave.
kani_tts_2_pt_john_en
4.308043
3.891966
4.438928
4.209262
4.313961
3.863281
0.4
0.404255
0.906321
Those words were the cue for the actor to leave.
kani_tts_2_pt_linda_en
4.767691
4.479826
4.610369
4.525844
4.595763
3.5
0.2
0.191489
0.907637
Those words were the cue for the actor to leave.
kani_tts_2_pt_mila_en
4.670095
4.226558
4.575679
4.283481
4.297782
3.277344
0
0
0.90112
Those words were the cue for the actor to leave.
kani_tts_2_pt_robert_en
4.208207
3.773727
4.460665
4.071425
4.269289
3.257813
0
0
0.916309
A yacht slid around the point into the bay.
kani_tts_2_pt_david_en
4.483803
4.474002
4.567293
4.372756
4.508945
3.445313
0.111111
0.071429
0.906237
A yacht slid around the point into the bay.
kani_tts_2_pt_john_en
4.525253
2.974312
4.716314
4.358306
4.528924
3.689453
0.111111
0.238095
0.945358
A yacht slid around the point into the bay.
kani_tts_2_pt_linda_en
4.738461
4.524801
4.778415
4.57952
4.752201
3.125
0
0
0.915376
A yacht slid around the point into the bay.
kani_tts_2_pt_mila_en
4.81699
4.48749
4.752297
4.477541
4.423975
3.220703
0
0
0.933582
A yacht slid around the point into the bay.
kani_tts_2_pt_robert_en
4.711854
4.386091
4.753979
4.477006
4.708441
3.173828
0
0
0.947584
The two met while playing on the sand.
kani_tts_2_pt_david_en
4.365745
3.829294
4.778195
4.480184
4.423353
1.623047
0.875
23.891892
0.505851
The two met while playing on the sand.
kani_tts_2_pt_john_en
4.133292
2.936857
4.370966
4.229066
4.287969
4.054688
0.125
0.081081
0.905424
The two met while playing on the sand.
kani_tts_2_pt_linda_en
4.92808
4.457254
4.780033
4.574337
4.714877
2.679688
0
0
0.929219
The two met while playing on the sand.
kani_tts_2_pt_mila_en
3.684034
4.163444
4.369533
3.747841
3.210028
3.072266
0
0
0.939558
The two met while playing on the sand.
kani_tts_2_pt_robert_en
4.525739
3.957513
4.663644
4.373367
4.582801
3.544922
0
0
0.921143
The ink stain dried on the finished page.
kani_tts_2_pt_david_en
4.207136
3.986372
4.50563
4.395742
4.183702
1.832031
28.125
38.3
0.613637
The ink stain dried on the finished page.
kani_tts_2_pt_john_en
3.467254
3.322329
4.170641
3.831796
3.747727
3.394531
0
0
0.93341
The ink stain dried on the finished page.
kani_tts_2_pt_linda_en
4.961709
4.697393
4.82414
4.618316
4.746972
3.328125
0.125
0.175
0.952506
The ink stain dried on the finished page.
kani_tts_2_pt_mila_en
3.931298
4.059501
4.427464
3.871241
3.314281
2.775391
0
0
0.788928
The ink stain dried on the finished page.
kani_tts_2_pt_robert_en
4.422418
4.13801
4.594044
4.283054
4.527517
2.988281
0
0
0.936131
The walled town was seized without a fight.
kani_tts_2_pt_david_en
4.356164
3.862577
4.664794
4.310447
4.444132
2.539063
0
0
0.886428
The walled town was seized without a fight.
kani_tts_2_pt_john_en
3.110506
2.916749
4.230715
3.930775
3.97487
3.458984
0
0
0.934051
The walled town was seized without a fight.
kani_tts_2_pt_linda_en
4.810425
4.54078
4.794184
4.663571
4.725629
3.716797
0
0
0.92973
The walled town was seized without a fight.
kani_tts_2_pt_mila_en
4.710374
4.528825
4.654732
4.472806
4.546087
3.095703
0
0
0.941435
The walled town was seized without a fight.
kani_tts_2_pt_robert_en
4.598633
4.216057
4.683468
4.45289
4.538767
2.925781
0
0
0.925833
The lease ran out in sixteen weeks.
kani_tts_2_pt_david_en
4.632523
4.60051
4.739869
4.427914
4.679452
2.220703
0.142857
0.205882
0.850964
The lease ran out in sixteen weeks.
kani_tts_2_pt_john_en
3.985476
3.696368
4.200443
4.010728
4.048273
3.646484
0.285714
0.294118
0.946477
The lease ran out in sixteen weeks.
kani_tts_2_pt_linda_en
4.875518
4.579736
4.777463
4.514053
4.70516
3.353516
0.285714
0.147059
0.899263
The lease ran out in sixteen weeks.
kani_tts_2_pt_mila_en
4.201962
4.118107
4.456085
3.967417
3.496676
3.027344
0.142857
0.205882
0.899642
The lease ran out in sixteen weeks.
kani_tts_2_pt_robert_en
4.537462
4.21114
4.556761
4.269455
4.474499
3.142578
0.142857
0.205882
0.920688
A tame squirrel makes a nice pet.
kani_tts_2_pt_david_en
4.213764
4.163385
4.462424
3.952491
4.39051
3.205078
0.285714
0.21875
0.935365
A tame squirrel makes a nice pet.
kani_tts_2_pt_john_en
3.93314
3.652297
4.193461
3.857577
4.115201
3.962891
0
0
0.937983
A tame squirrel makes a nice pet.
kani_tts_2_pt_linda_en
4.8475
4.634833
4.78372
4.575055
4.683373
3.568359
0
0
0.94751
A tame squirrel makes a nice pet.
kani_tts_2_pt_mila_en
4.805628
4.50183
4.783742
4.49303
4.560977
3.433594
0.142857
0.09375
0.947523
A tame squirrel makes a nice pet.
kani_tts_2_pt_robert_en
4.64733
4.314079
4.694691
4.442568
4.677054
3.867188
0
0
0.942654
The horn of the car woke the sleeping cop.
kani_tts_2_pt_david_en
4.405138
4.11804
4.506055
4.378792
4.405246
3.515625
0.111111
0.146341
0.903804
The horn of the car woke the sleeping cop.
kani_tts_2_pt_john_en
3.893896
2.83239
4.2974
3.887907
4.134121
3.689453
0
0
0.870886
The horn of the car woke the sleeping cop.
kani_tts_2_pt_linda_en
4.938567
4.651142
4.814521
4.566111
4.72763
3.875
0
0
0.925612
The horn of the car woke the sleeping cop.
kani_tts_2_pt_mila_en
4.146986
4.32562
4.518291
3.971824
3.925877
3.041016
0
0
0.905707
The horn of the car woke the sleeping cop.
kani_tts_2_pt_robert_en
3.258279
3.050485
4.288853
4.030476
4.435959
4.066406
0
0
0.927814
The heart beat strongly and with firm strokes.
kani_tts_2_pt_david_en
4.399743
3.556681
4.631471
4.435564
4.424633
3.445313
0.125
0.022222
0.903225
The heart beat strongly and with firm strokes.
kani_tts_2_pt_john_en
4.375456
3.499588
4.562741
4.353336
4.460358
3.564453
0.25
0.022222
0.939276
The heart beat strongly and with firm strokes.
kani_tts_2_pt_linda_en
4.856243
4.694524
4.725486
4.580326
4.682976
3.515625
0.125
0.022222
0.944446
The heart beat strongly and with firm strokes.
kani_tts_2_pt_mila_en
4.697814
4.491751
4.676545
4.344617
4.404001
3.267578
0.125
0.022222
0.926999
The heart beat strongly and with firm strokes.
kani_tts_2_pt_robert_en
3.397807
4.193641
4.593002
4.262558
4.376768
3.400391
0.25
0.022222
0.940215
The pearl was worn in a thin silver ring.
kani_tts_2_pt_david_en
4.482992
4.334862
4.627897
4.434699
4.539117
2.800781
0
0
0.892414
The pearl was worn in a thin silver ring.
kani_tts_2_pt_john_en
4.508879
4.187606
4.538548
4.306164
4.382778
3.34375
0
0
0.910013
The pearl was worn in a thin silver ring.
kani_tts_2_pt_linda_en
4.727288
4.273618
4.711203
4.497232
4.653577
3.382813
0.111111
0.075
0.892016
The pearl was worn in a thin silver ring.
kani_tts_2_pt_mila_en
4.124555
4.243436
4.432257
4.216554
4.063655
3.255859
0
0
0.907326
The pearl was worn in a thin silver ring.
kani_tts_2_pt_robert_en
4.276364
4.032157
4.569204
4.275691
4.495349
2.970703
0
0
0.899553
The fruit peel was cut in thick slices.
kani_tts_2_pt_david_en
4.580887
4.44863
4.744016
4.480031
4.661651
3.927734
0
0
0.91089
The fruit peel was cut in thick slices.
kani_tts_2_pt_john_en
3.72806
3.0625
4.398295
4.164979
4.212146
3.642578
0
0
0.937358
The fruit peel was cut in thick slices.
kani_tts_2_pt_linda_en
4.828103
4.636014
4.731687
4.595096
4.609819
3.960938
0
0
0.951899
The fruit peel was cut in thick slices.
kani_tts_2_pt_mila_en
4.866663
4.645374
4.758427
4.547605
4.579834
3.335938
0
0
0.954388
The fruit peel was cut in thick slices.
kani_tts_2_pt_robert_en
3.811606
3.791489
4.646239
4.326847
4.307293
3.455078
0
0
0.929881