text
stringclasses
720 values
model
stringclasses
5 values
MOS
float64
2.69
5.15
NOI
float64
1.97
4.82
DIS
float64
2.95
4.97
COL
float64
2.7
4.73
LOUD
float64
2.68
4.87
UTMOS
float64
1.1
4.48
WER
float64
0
48
CER
float64
0
63.2
SIM
float64
0.49
0.96
The Navy attacked the big task force.
kani_tts_2_pt_david_en
4.049664
4.311206
4.593382
3.932969
4.447852
2.945313
0.428571
12.388889
0.875074
The Navy attacked the big task force.
kani_tts_2_pt_john_en
3.227079
2.657496
4.096581
3.721328
3.40271
3.164063
0.142857
0.083333
0.897919
The Navy attacked the big task force.
kani_tts_2_pt_linda_en
4.676739
4.557096
4.574695
4.594
4.522943
2.972656
0
0
0.934181
The Navy attacked the big task force.
kani_tts_2_pt_mila_en
4.147714
3.824057
4.388388
4.022251
4.166528
3.009766
0
0
0.940785
The Navy attacked the big task force.
kani_tts_2_pt_robert_en
4.201629
4.194009
4.596103
4.292711
4.410661
2.712891
0
0
0.904639
See the cat glaring at the scared mouse.
kani_tts_2_pt_david_en
4.2936
4.510818
4.795546
4.26228
4.544644
3.660156
0
0
0.903377
See the cat glaring at the scared mouse.
kani_tts_2_pt_john_en
3.957883
2.984986
4.326279
3.977004
4.144396
3.320313
0.25
0.179487
0.922837
See the cat glaring at the scared mouse.
kani_tts_2_pt_linda_en
4.411842
4.527084
4.090357
4.250813
4.466767
3.208984
0
0
0.922513
See the cat glaring at the scared mouse.
kani_tts_2_pt_mila_en
4.452681
4.148359
4.58949
4.139304
3.550919
3.689453
0
0
0.911289
See the cat glaring at the scared mouse.
kani_tts_2_pt_robert_en
4.1476
4.252775
4.528663
4.269435
4.423115
3.089844
0
0
0.917841
There are more than two factors here.
kani_tts_2_pt_david_en
4.275211
4.051254
4.536823
4.415985
4.501221
2.849609
37.714286
43.5
0.687126
There are more than two factors here.
kani_tts_2_pt_john_en
4.006453
3.434545
4.37494
3.961164
4.206675
3.507813
0
0
0.924244
There are more than two factors here.
kani_tts_2_pt_linda_en
4.727563
4.461984
4.777676
4.589668
4.640752
3.205078
0
0
0.856737
There are more than two factors here.
kani_tts_2_pt_mila_en
3.89929
3.915918
4.350753
3.741969
3.517063
3.185547
0
0
0.891767
There are more than two factors here.
kani_tts_2_pt_robert_en
4.417425
4.05458
4.770377
4.419178
4.59732
3.423828
0
0
0.901349
The hat brim was wide and too droopy.
kani_tts_2_pt_david_en
4.093829
4.254825
4.424716
3.947437
4.217317
2.574219
0.25
0.194444
0.918508
The hat brim was wide and too droopy.
kani_tts_2_pt_john_en
4.330857
3.608244
4.568517
4.363074
4.376979
2.826172
0
0
0.902503
The hat brim was wide and too droopy.
kani_tts_2_pt_linda_en
4.962044
4.616937
4.790191
4.588874
4.732163
3.580078
0.25
0.138889
0.92441
The hat brim was wide and too droopy.
kani_tts_2_pt_mila_en
4.809463
4.495904
4.731
4.4716
4.45054
3.181641
0
0
0.91457
The hat brim was wide and too droopy.
kani_tts_2_pt_robert_en
4.144865
4.4159
4.629446
4.438431
4.561183
4.039063
0
0
0.912128
The lawyer tried to lose his case.
kani_tts_2_pt_david_en
4.75197
4.547795
4.764047
4.536864
4.689969
3.810547
0
0
0.914661
The lawyer tried to lose his case.
kani_tts_2_pt_john_en
3.980563
3.01025
4.433318
3.982164
4.275389
3.013672
0.285714
0.151515
0.923271
The lawyer tried to lose his case.
kani_tts_2_pt_linda_en
4.831894
4.540616
4.767331
4.623032
4.590889
3.230469
1.285714
1.212121
0.896593
The lawyer tried to lose his case.
kani_tts_2_pt_mila_en
4.56164
4.563582
4.705383
4.277192
3.75102
3.71875
0
0
0.934027
The lawyer tried to lose his case.
kani_tts_2_pt_robert_en
4.271019
4.175438
4.549677
4.228548
4.468459
2.703125
0
0
0.895938
The grass curled around the fence post.
kani_tts_2_pt_david_en
4.747733
4.611507
4.756309
4.48369
4.689999
3.21875
0.142857
0.105263
0.929681
The grass curled around the fence post.
kani_tts_2_pt_john_en
4.407519
4.135107
4.474539
4.236348
4.498299
3.425781
0.428571
0.289474
0.896301
The grass curled around the fence post.
kani_tts_2_pt_linda_en
4.438625
4.478601
4.729315
4.579148
4.675762
3.367188
0.428571
0.236842
0.934177
The grass curled around the fence post.
kani_tts_2_pt_mila_en
4.392364
3.523118
4.435415
4.160999
3.4121
3.314453
0
0
0.919348
The grass curled around the fence post.
kani_tts_2_pt_robert_en
4.626191
4.260872
4.715405
4.391632
4.618732
3.658203
0
0
0.938847
Cut the pie into large parts.
kani_tts_2_pt_david_en
4.177988
4.005151
4.365767
4.09388
4.294907
1.6875
0
0
0.612311
Cut the pie into large parts.
kani_tts_2_pt_john_en
4.38868
3.765992
4.61182
4.421101
4.509915
3.140625
0.166667
0.107143
0.931691
Cut the pie into large parts.
kani_tts_2_pt_linda_en
4.844089
4.628683
4.706519
4.526399
4.650471
3.396484
0
0
0.877073
Cut the pie into large parts.
kani_tts_2_pt_mila_en
4.59566
4.243444
4.587211
4.309144
3.620705
3.542969
0.166667
0.035714
0.888172
Cut the pie into large parts.
kani_tts_2_pt_robert_en
4.505396
4.19462
4.564779
4.43489
4.566432
3.605469
0
0
0.910814
Men strive but seldom get rich.
kani_tts_2_pt_david_en
4.772482
4.613173
4.841311
4.577603
4.717992
3.121094
0
0
0.906595
Men strive but seldom get rich.
kani_tts_2_pt_john_en
4.0463
3.151691
4.260361
4.30053
4.239865
2.958984
0.166667
0.033333
0.913882
Men strive but seldom get rich.
kani_tts_2_pt_linda_en
4.978928
4.698548
4.77871
4.53241
4.75626
3.582031
0
0
0.95103
Men strive but seldom get rich.
kani_tts_2_pt_mila_en
4.622007
4.457678
4.713363
4.30073
4.507016
3.160156
0
0
0.922144
Men strive but seldom get rich.
kani_tts_2_pt_robert_en
4.270111
4.029312
4.546098
4.316239
4.430174
3.113281
0
0
0.946074
Always close the barn door tight.
kani_tts_2_pt_david_en
3.805033
2.920833
4.557964
4.248918
3.990424
3.427734
0
0
0.880464
Always close the barn door tight.
kani_tts_2_pt_john_en
3.728378
1.96559
4.531241
4.212291
3.944767
1.69043
37
20.46875
0.690547
Always close the barn door tight.
kani_tts_2_pt_linda_en
4.864751
4.489318
4.794505
4.669772
4.664951
3.5
0
0
0.931414
Always close the barn door tight.
kani_tts_2_pt_mila_en
4.608146
4.359049
4.636624
4.358091
4.282035
3.554688
0
0
0.938648
Always close the barn door tight.
kani_tts_2_pt_robert_en
4.621694
4.403661
4.646751
4.47233
4.617676
2.984375
0.333333
0.125
0.833202
He lay prone and hardly moved a limb.
kani_tts_2_pt_david_en
4.891879
4.515914
4.747787
4.572116
4.719883
3.482422
1
1.027778
0.890224
He lay prone and hardly moved a limb.
kani_tts_2_pt_john_en
4.434342
3.6916
4.532768
4.37073
4.459194
3.578125
0.125
0.027778
0.861758
He lay prone and hardly moved a limb.
kani_tts_2_pt_linda_en
4.901123
4.403889
4.68884
4.582518
4.668196
3.949219
0
0
0.912999
He lay prone and hardly moved a limb.
kani_tts_2_pt_mila_en
2.797594
3.811899
3.976952
3.402456
3.387887
2.849609
0
0
0.911189
He lay prone and hardly moved a limb.
kani_tts_2_pt_robert_en
3.940775
3.836241
4.512219
4.222155
4.453806
3.392578
0
0
0.914475
The slush lay deep along the street.
kani_tts_2_pt_david_en
3.898012
3.964519
4.456024
3.95305
4.401272
3.416016
0
0
0.914066
The slush lay deep along the street.
kani_tts_2_pt_john_en
4.284719
2.757724
4.335134
4.306609
4.392404
2.683594
0
0
0.916111
The slush lay deep along the street.
kani_tts_2_pt_linda_en
4.891713
4.635802
4.760514
4.553097
4.730916
2.853516
0
0
0.942908
The slush lay deep along the street.
kani_tts_2_pt_mila_en
4.687414
4.52973
4.6733
4.35275
4.391791
3.5
0
0
0.939332
The slush lay deep along the street.
kani_tts_2_pt_robert_en
4.551594
3.913366
4.76047
4.454306
4.60987
2.777344
0
0
0.949548
A wisp of cloud hung in the blue air.
kani_tts_2_pt_david_en
4.583426
4.380858
4.644079
4.442341
4.663189
3.560547
0
0
0.93441
A wisp of cloud hung in the blue air.
kani_tts_2_pt_john_en
3.999881
3.588287
4.416964
4.24265
4.360736
3.710938
0.111111
0.055556
0.926553
A wisp of cloud hung in the blue air.
kani_tts_2_pt_linda_en
4.790238
4.58169
4.63431
4.42392
4.562864
2.986328
0
0
0.9314
A wisp of cloud hung in the blue air.
kani_tts_2_pt_mila_en
4.568946
4.401451
4.595654
4.225666
4.290446
3.230469
0
0
0.947362
A wisp of cloud hung in the blue air.
kani_tts_2_pt_robert_en
4.560744
4.38263
4.615922
4.430198
4.597632
3.46875
0
0
0.924888
A pound of sugar costs more than eggs.
kani_tts_2_pt_david_en
4.382498
4.41217
4.599788
4.261763
4.563885
2.847656
0
0
0.937373
A pound of sugar costs more than eggs.
kani_tts_2_pt_john_en
4.545462
4.171216
4.471751
4.286645
4.533669
3.990234
0
0
0.941381
A pound of sugar costs more than eggs.
kani_tts_2_pt_linda_en
4.871753
4.429868
4.790935
4.609402
4.740625
3.582031
0
0
0.922072
A pound of sugar costs more than eggs.
kani_tts_2_pt_mila_en
4.595712
4.400755
4.62801
4.397178
4.275898
3.298828
0
0
0.917547
A pound of sugar costs more than eggs.
kani_tts_2_pt_robert_en
4.430938
4.418466
4.740639
4.377219
4.6146
3.597656
0
0
0.938497
The fin was sharp and cut the clear water.
kani_tts_2_pt_david_en
4.482256
4.555928
4.699476
4.479064
4.647773
3.210938
0
0
0.917935
The fin was sharp and cut the clear water.
kani_tts_2_pt_john_en
3.992113
3.820137
4.377377
4.138741
3.82248
3.150391
0
0
0.883381
The fin was sharp and cut the clear water.
kani_tts_2_pt_linda_en
4.75526
4.407647
4.700502
4.583545
4.676224
3.226563
0
0
0.942749
The fin was sharp and cut the clear water.
kani_tts_2_pt_mila_en
4.245758
4.321364
4.507896
4.077865
3.852637
2.929688
0
0
0.937078
The fin was sharp and cut the clear water.
kani_tts_2_pt_robert_en
4.127584
4.261812
4.630423
4.306357
4.383305
3.138672
0
0
0.916148
The play seems dull and quite stupid.
kani_tts_2_pt_david_en
4.641928
4.536877
4.652497
4.257954
4.527496
3.255859
0.571429
0.444444
0.929924
The play seems dull and quite stupid.
kani_tts_2_pt_john_en
4.06745
3.580046
4.514503
4.124549
4.336859
3.367188
0
0
0.946168
The play seems dull and quite stupid.
kani_tts_2_pt_linda_en
4.824726
4.651691
4.766236
4.579935
4.674514
3.853516
0
0
0.941867
The play seems dull and quite stupid.
kani_tts_2_pt_mila_en
4.61965
4.538362
4.66899
4.293937
4.363504
3.433594
0
0
0.950943
The play seems dull and quite stupid.
kani_tts_2_pt_robert_en
4.64888
4.298618
4.716168
4.424291
4.665556
3.269531
0
0
0.925266
Bail the boat to stop it from sinking.
kani_tts_2_pt_david_en
4.429122
3.926607
4.556477
4.500852
4.471212
3.087891
0.375
0.135135
0.91073
Bail the boat to stop it from sinking.
kani_tts_2_pt_john_en
4.489598
3.434292
4.662649
4.398654
4.503664
3.839844
0
0
0.917099
Bail the boat to stop it from sinking.
kani_tts_2_pt_linda_en
4.79345
4.603813
4.670171
4.425435
4.655111
3.054688
0
0
0.90747
Bail the boat to stop it from sinking.
kani_tts_2_pt_mila_en
4.505672
4.421292
4.54484
4.266942
4.307945
3.363281
0.125
0.054054
0.926741
Bail the boat to stop it from sinking.
kani_tts_2_pt_robert_en
4.308901
3.905993
4.559957
4.418817
4.431338
2.751953
0
0
0.939631
The term ended in late june that year.
kani_tts_2_pt_david_en
4.817663
4.332424
4.797144
4.560793
4.699679
2.605469
0
0
0.891278
The term ended in late june that year.
kani_tts_2_pt_john_en
3.545072
3.062007
4.302587
3.915463
3.810544
3.515625
0
0
0.875885
The term ended in late june that year.
kani_tts_2_pt_linda_en
4.834997
4.381588
4.57416
4.446114
4.550214
2.847656
0
0
0.848017
The term ended in late june that year.
kani_tts_2_pt_mila_en
3.666112
4.122998
4.161467
3.95006
3.217699
3.216797
0
0
0.884736
The term ended in late june that year.
kani_tts_2_pt_robert_en
4.472861
4.245835
4.515684
4.23736
4.40829
2.560547
0
0
0.891695
A Tusk is used to make costly gifts.
kani_tts_2_pt_david_en
4.789159
4.407016
4.696893
4.600839
4.587605
3.634766
0
0
0.883901
A Tusk is used to make costly gifts.
kani_tts_2_pt_john_en
3.991232
3.91655
4.386169
3.781738
3.661197
3.445313
0.25
0.085714
0.90054
A Tusk is used to make costly gifts.
kani_tts_2_pt_linda_en
4.385315
3.687347
4.483766
4.347182
4.219754
3.390625
0
0
0.913596
A Tusk is used to make costly gifts.
kani_tts_2_pt_mila_en
4.543493
4.378752
4.508468
4.208024
4.091422
3.244141
0
0
0.904208
A Tusk is used to make costly gifts.
kani_tts_2_pt_robert_en
4.311349
3.793093
4.715882
4.337597
4.359028
3.625
0
0
0.921324
Ten pins were set in order.
kani_tts_2_pt_david_en
4.510342
4.597084
4.829552
4.514373
4.774992
3.595703
0.166667
0.115385
0.888489
Ten pins were set in order.
kani_tts_2_pt_john_en
4.10421
3.762812
4.354413
4.308261
4.391804
3.832031
0.166667
0.115385
0.843788
Ten pins were set in order.
kani_tts_2_pt_linda_en
4.834974
4.687868
4.784624
4.59395
4.697102
3.193359
0
0
0.917182
Ten pins were set in order.
kani_tts_2_pt_mila_en
4.404739
4.207244
4.535995
4.10911
3.656648
2.958984
1.5
1.384615
0.928321
Ten pins were set in order.
kani_tts_2_pt_robert_en
3.884196
3.549829
4.679273
4.338666
4.5604
3.123047
0
0
0.89615
The bill was paid every third week.
kani_tts_2_pt_david_en
3.861885
4.250974
4.517301
4.045212
4.408898
3.117188
0
0
0.900855
The bill was paid every third week.
kani_tts_2_pt_john_en
3.78058
3.824703
4.138005
3.625648
3.980757
3.060547
0
0
0.893413
The bill was paid every third week.
kani_tts_2_pt_linda_en
4.971412
4.62308
4.76573
4.595565
4.727847
3.408203
0
0
0.926109
The bill was paid every third week.
kani_tts_2_pt_mila_en
4.534804
4.234277
4.307762
4.016929
4.108478
3.126953
0
0
0.897642
The bill was paid every third week.
kani_tts_2_pt_robert_en
3.729592
3.644443
4.286882
3.89603
3.985838
3.677734
0
0
0.920572