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 small pup gnawed a hole in the sock.
kani_tts_2_pt_david_en
3.766292
3.096982
4.231409
3.913818
3.416274
2.496094
0.111111
0.051282
0.839304
The small pup gnawed a hole in the sock.
kani_tts_2_pt_john_en
3.249852
3.579144
4.466898
4.008442
3.686329
2.822266
0.111111
0.076923
0.838696
The small pup gnawed a hole in the sock.
kani_tts_2_pt_linda_en
4.741484
4.364699
4.816525
4.643795
4.598487
3.744141
0
0
0.894583
The small pup gnawed a hole in the sock.
kani_tts_2_pt_mila_en
4.809355
4.494143
4.803368
4.453857
4.577663
2.988281
0.111111
0.128205
0.896238
The small pup gnawed a hole in the sock.
kani_tts_2_pt_robert_en
4.487154
4.096124
4.701292
4.413883
4.623167
3.597656
0
0
0.867315
The fish twisted and turned on the bent hook.
kani_tts_2_pt_david_en
4.858037
4.496916
4.788001
4.538887
4.735204
3.550781
0.111111
0.045455
0.909511
The fish twisted and turned on the bent hook.
kani_tts_2_pt_john_en
4.323207
3.61453
4.406468
4.261421
4.347365
3.595703
0
0
0.926251
The fish twisted and turned on the bent hook.
kani_tts_2_pt_linda_en
4.949694
4.690099
4.799842
4.549084
4.673562
3.173828
0.111111
0.068182
0.918363
The fish twisted and turned on the bent hook.
kani_tts_2_pt_mila_en
4.726692
4.423426
4.594421
4.29475
4.079112
3.179688
0
0
0.901693
The fish twisted and turned on the bent hook.
kani_tts_2_pt_robert_en
4.481545
4.249316
4.706204
4.312679
4.543509
3.65625
0
0
0.905838
Press the pants and sew a button on the vest.
kani_tts_2_pt_david_en
4.757768
4.588072
4.811833
4.600382
4.724089
3.623047
0
0
0.926245
Press the pants and sew a button on the vest.
kani_tts_2_pt_john_en
4.513371
3.843676
4.623316
4.415552
4.44422
3.695313
0.1
0.045455
0.930307
Press the pants and sew a button on the vest.
kani_tts_2_pt_linda_en
4.788198
4.539514
4.817486
4.613239
4.706019
3.429688
0
0
0.93255
Press the pants and sew a button on the vest.
kani_tts_2_pt_mila_en
4.612541
4.371911
4.665112
4.241497
4.385035
2.548828
0.1
0.068182
0.88543
Press the pants and sew a button on the vest.
kani_tts_2_pt_robert_en
4.295539
4.129564
4.534419
4.219296
4.37109
3.939453
0.1
0.090909
0.928622
The swan dive was far short of perfect.
kani_tts_2_pt_david_en
3.807612
4.054292
4.434204
4.156012
4.447928
3.53125
0.125
0.131579
0.940733
The swan dive was far short of perfect.
kani_tts_2_pt_john_en
4.071373
2.923986
4.129518
3.931605
3.921186
3.689453
0
0
0.902378
The swan dive was far short of perfect.
kani_tts_2_pt_linda_en
4.81399
4.511061
4.760172
4.543499
4.641734
3.259766
0
0
0.917475
The swan dive was far short of perfect.
kani_tts_2_pt_mila_en
4.484848
4.235809
4.564838
4.293453
3.998532
3.466797
0.375
0.421053
0.945563
The swan dive was far short of perfect.
kani_tts_2_pt_robert_en
4.405138
4.054795
4.674925
4.429682
4.479714
3.259766
0.125
0.105263
0.926543
The beauty of the view stunned the young boy.
kani_tts_2_pt_david_en
4.903816
4.587595
4.7889
4.607132
4.726721
3.285156
0
0
0.893042
The beauty of the view stunned the young boy.
kani_tts_2_pt_john_en
4.099484
4.070743
4.37277
4.109667
3.914746
3.314453
0
0
0.829906
The beauty of the view stunned the young boy.
kani_tts_2_pt_linda_en
4.685345
4.533159
4.6383
4.464931
4.630389
3.296875
0
0
0.91475
The beauty of the view stunned the young boy.
kani_tts_2_pt_mila_en
4.569028
4.238941
4.588349
4.230623
4.263341
3.740234
0
0
0.904137
The beauty of the view stunned the young boy.
kani_tts_2_pt_robert_en
4.307702
4.241714
4.440921
4.15913
4.36396
2.916016
0
0
0.88437
Two blue fish swam in the tank.
kani_tts_2_pt_david_en
4.360238
3.661367
4.41025
4.35882
4.338684
3.423828
0.142857
0.1
0.875635
Two blue fish swam in the tank.
kani_tts_2_pt_john_en
4.2204
3.099527
4.49507
4.255651
4.183908
3.837891
0.142857
0.1
0.897511
Two blue fish swam in the tank.
kani_tts_2_pt_linda_en
4.924966
4.586781
4.787693
4.58219
4.737312
3.285156
0
0
0.879408
Two blue fish swam in the tank.
kani_tts_2_pt_mila_en
4.804409
4.584283
4.80056
4.404333
4.449286
3.019531
0
0
0.900255
Two blue fish swam in the tank.
kani_tts_2_pt_robert_en
4.541716
4.268397
4.620365
4.346804
4.540158
3.017578
0
0
0.91314
Her purse was full of useless trash.
kani_tts_2_pt_david_en
4.488004
4.196437
4.572372
4.377591
4.500639
3.634766
0
0
0.914077
Her purse was full of useless trash.
kani_tts_2_pt_john_en
4.158756
3.710422
4.322097
4.311327
4.098417
3.449219
0
0
0.92304
Her purse was full of useless trash.
kani_tts_2_pt_linda_en
4.704109
4.479759
4.730551
4.4926
4.576878
3.396484
0
0
0.900032
Her purse was full of useless trash.
kani_tts_2_pt_mila_en
4.712117
4.627652
4.685414
4.422203
4.401173
3.539063
0
0
0.903023
Her purse was full of useless trash.
kani_tts_2_pt_robert_en
4.385891
3.302355
4.664649
4.298872
4.434796
2.853516
0
0
0.920809
The colt reared and threw the tall rider.
kani_tts_2_pt_david_en
4.85014
4.427886
4.793163
4.640073
4.738773
3.402344
0.75
0.65
0.926756
The colt reared and threw the tall rider.
kani_tts_2_pt_john_en
3.477568
2.71184
4.389738
4.112701
4.105972
3.607422
0.375
0.175
0.891384
The colt reared and threw the tall rider.
kani_tts_2_pt_linda_en
5.029863
4.707723
4.829021
4.635173
4.754904
4.050781
0
0
0.916485
The colt reared and threw the tall rider.
kani_tts_2_pt_mila_en
4.674594
4.401876
4.501223
4.263314
4.196912
3.582031
0
0
0.913205
The colt reared and threw the tall rider.
kani_tts_2_pt_robert_en
4.519343
4.345941
4.579445
4.224065
4.518349
3.560547
0
0
0.88763
It snowed, rained, and hailed the same morning.
kani_tts_2_pt_david_en
4.802752
4.653348
4.74626
4.538535
4.702711
3.267578
0
0
0.889415
It snowed, rained, and hailed the same morning.
kani_tts_2_pt_john_en
4.38632
3.619525
4.542963
4.336599
4.440698
3.796875
0
0
0.907285
It snowed, rained, and hailed the same morning.
kani_tts_2_pt_linda_en
4.854556
4.597281
4.782559
4.603127
4.755486
3.0625
0
0
0.935659
It snowed, rained, and hailed the same morning.
kani_tts_2_pt_mila_en
3.665228
4.172247
4.358294
3.693453
3.526005
3.626953
0
0
0.892097
It snowed, rained, and hailed the same morning.
kani_tts_2_pt_robert_en
4.572814
4.210167
4.612367
4.346174
4.598733
3.46875
0
0
0.902733
Read verse out loud for pleasure.
kani_tts_2_pt_david_en
3.793604
3.983406
4.382776
3.732385
4.273402
2.574219
2
1.625
0.821597
Read verse out loud for pleasure.
kani_tts_2_pt_john_en
3.606674
3.17292
4.05816
3.617514
4.04886
3.824219
0
0
0.917193
Read verse out loud for pleasure.
kani_tts_2_pt_linda_en
4.815689
4.426195
4.604077
4.433275
4.634281
3.259766
0.166667
0.125
0.909364
Read verse out loud for pleasure.
kani_tts_2_pt_mila_en
4.05059
4.169736
4.354924
4.039797
3.770065
3.191406
0
0
0.925846
Read verse out loud for pleasure.
kani_tts_2_pt_robert_en
4.369992
4.055324
4.466918
4.279211
4.448426
3.794922
0.166667
0.09375
0.919207
Hoist the load to your left shoulder.
kani_tts_2_pt_david_en
4.034652
3.627599
4.582873
3.942541
4.358598
2.152344
0.857143
6.027778
0.769665
Hoist the load to your left shoulder.
kani_tts_2_pt_john_en
4.214292
3.077859
4.276536
4.220243
4.280133
4.296875
0
0
0.888442
Hoist the load to your left shoulder.
kani_tts_2_pt_linda_en
4.939773
4.629308
4.79165
4.584238
4.732417
3.712891
0.142857
0.027778
0.910275
Hoist the load to your left shoulder.
kani_tts_2_pt_mila_en
4.511571
4.373196
4.66297
4.361029
4.354959
2.712891
0
0
0.904252
Hoist the load to your left shoulder.
kani_tts_2_pt_robert_en
4.362611
4.122124
4.532294
4.354394
4.550212
3.638672
0
0
0.925425
Take the winding path to reach the lake.
kani_tts_2_pt_david_en
3.893465
4.134319
4.331766
3.908812
4.215738
3.695313
0.125
0.051282
0.895652
Take the winding path to reach the lake.
kani_tts_2_pt_john_en
4.207659
3.82535
4.515478
4.219918
3.586658
3.388672
0
0
0.921094
Take the winding path to reach the lake.
kani_tts_2_pt_linda_en
4.928126
4.677383
4.717992
4.590392
4.702456
3.806641
0
0
0.933527
Take the winding path to reach the lake.
kani_tts_2_pt_mila_en
4.6185
4.375627
4.429542
4.283422
4.325682
3.302734
0
0
0.896816
Take the winding path to reach the lake.
kani_tts_2_pt_robert_en
4.442426
4.409797
4.582686
4.365189
4.539925
3.457031
0
0
0.905558
Note closely the size of the gas tank.
kani_tts_2_pt_david_en
4.43643
4.429286
4.603739
4.324392
4.423265
3.050781
0.25
0.189189
0.934055
Note closely the size of the gas tank.
kani_tts_2_pt_john_en
4.206754
3.682884
4.378748
4.301744
4.315229
2.447266
0.375
0.351351
0.776609
Note closely the size of the gas tank.
kani_tts_2_pt_linda_en
4.735219
4.615793
4.763351
4.543409
4.598454
3.363281
0
0
0.936649
Note closely the size of the gas tank.
kani_tts_2_pt_mila_en
4.737724
4.59128
4.666315
4.325058
4.270347
3.716797
0
0
0.920774
Note closely the size of the gas tank.
kani_tts_2_pt_robert_en
4.207816
3.445359
4.504286
4.274343
4.176141
3.164063
0
0
0.941503
Wipe the grease off his dirty face.
kani_tts_2_pt_david_en
4.803555
4.712955
4.770998
4.627985
4.657146
4.011719
0
0
0.915141
Wipe the grease off his dirty face.
kani_tts_2_pt_john_en
3.892066
3.08993
4.363474
4.028573
3.997277
3.435547
0
0
0.894472
Wipe the grease off his dirty face.
kani_tts_2_pt_linda_en
4.796664
4.54974
4.710107
4.495834
4.596834
3.503906
0.142857
0.117647
0.889997
Wipe the grease off his dirty face.
kani_tts_2_pt_mila_en
4.718053
4.491216
4.608619
4.375323
4.439247
3.544922
0
0
0.904225
Wipe the grease off his dirty face.
kani_tts_2_pt_robert_en
3.295544
3.108128
4.271127
4.095531
3.325221
3.634766
0
0
0.916568
Mend the coat before you go out.
kani_tts_2_pt_david_en
3.546041
3.83921
4.134389
3.389412
3.935247
1.795898
1.142857
58.258065
0.640334
Mend the coat before you go out.
kani_tts_2_pt_john_en
3.913534
2.987679
4.280484
3.969989
4.130867
3.333984
0.428571
0.322581
0.871075
Mend the coat before you go out.
kani_tts_2_pt_linda_en
4.912757
4.455303
4.576609
4.340869
4.618284
3.744141
0
0
0.908458
Mend the coat before you go out.
kani_tts_2_pt_mila_en
4.431789
4.455612
4.534141
4.14424
4.119038
3.582031
0
0
0.919073
Mend the coat before you go out.
kani_tts_2_pt_robert_en
4.286671
3.892974
4.53916
4.219229
4.331749
3.759766
0
0
0.916364
The wrist was badly strained and hung limp.
kani_tts_2_pt_david_en
4.950339
4.565109
4.829762
4.613116
4.752663
3.40625
0
0
0.934341
The wrist was badly strained and hung limp.
kani_tts_2_pt_john_en
3.710585
3.24246
4.302689
3.911178
3.98692
3.486328
0.125
0.047619
0.91644
The wrist was badly strained and hung limp.
kani_tts_2_pt_linda_en
4.840739
4.627099
4.766884
4.598065
4.69192
3.849609
0
0
0.950033
The wrist was badly strained and hung limp.
kani_tts_2_pt_mila_en
4.662376
4.486289
4.669013
4.397052
4.475779
3.339844
0
0
0.933152
The wrist was badly strained and hung limp.
kani_tts_2_pt_robert_en
3.685816
3.599085
4.311345
3.856209
3.939403
3.794922
0
0
0.928135
The stray cat gave birth to kittens.
kani_tts_2_pt_david_en
4.48609
4.283237
4.728741
4.531367
4.366478
2.207031
32
18.914286
0.492871
The stray cat gave birth to kittens.
kani_tts_2_pt_john_en
4.038734
2.884083
4.438803
4.223842
4.217828
3.324219
0.142857
0.085714
0.939714
The stray cat gave birth to kittens.
kani_tts_2_pt_linda_en
4.177659
4.216451
4.55975
4.533379
4.463555
3.080078
0.142857
0.085714
0.929653
The stray cat gave birth to kittens.
kani_tts_2_pt_mila_en
4.760978
4.577778
4.607594
4.298931
4.536521
2.871094
0
0
0.946872
The stray cat gave birth to kittens.
kani_tts_2_pt_robert_en
4.683305
4.535136
4.702221
4.415319
4.593608
2.916016
0
0
0.94341
The young girl gave no clear response.
kani_tts_2_pt_david_en
4.819184
4.396213
4.884552
4.55962
4.700314
3.957031
0.142857
0.108108
0.925272
The young girl gave no clear response.
kani_tts_2_pt_john_en
4.7089
3.718702
4.712955
4.495657
4.585645
3.810547
0
0
0.919033
The young girl gave no clear response.
kani_tts_2_pt_linda_en
4.89506
4.62578
4.773865
4.569155
4.675443
3.349609
0.142857
0.081081
0.89797
The young girl gave no clear response.
kani_tts_2_pt_mila_en
4.683692
4.384836
4.746513
4.317523
4.421417
3.417969
0
0
0.943455
The young girl gave no clear response.
kani_tts_2_pt_robert_en
4.272679
3.929661
4.549035
4.378689
4.520644
3.707031
0
0
0.908952
The meal was cooked before the bell rang.
kani_tts_2_pt_david_en
5.007353
4.721447
4.868593
4.687383
4.823098
4.070313
0
0
0.931822
The meal was cooked before the bell rang.
kani_tts_2_pt_john_en
4.414056
4.131568
4.376472
4.289843
4.392081
4.363281
0
0
0.907301
The meal was cooked before the bell rang.
kani_tts_2_pt_linda_en
4.922418
4.501906
4.766298
4.638057
4.712054
3.580078
0
0
0.933687
The meal was cooked before the bell rang.
kani_tts_2_pt_mila_en
4.658642
4.44964
4.658727
4.341445
4.276094
2.925781
0.125
0.15
0.928818
The meal was cooked before the bell rang.
kani_tts_2_pt_robert_en
4.620174
3.508881
4.695656
4.441753
4.633275
3.554688
0
0
0.936865
What joy there is in living.
kani_tts_2_pt_david_en
4.448308
4.51251
4.554405
4.495625
4.54808
2.734375
0.5
0.407407
0.849791
What joy there is in living.
kani_tts_2_pt_john_en
4.356654
3.50441
4.448466
4.185631
4.383784
4.195313
0.166667
0.111111
0.921594
What joy there is in living.
kani_tts_2_pt_linda_en
4.209363
4.146385
4.292166
4.1723
4.518152
3.003906
0.166667
0.296296
0.906729
What joy there is in living.
kani_tts_2_pt_mila_en
3.984319
3.662425
4.339889
4.213026
3.574841
2.771484
0
0
0.865532
What joy there is in living.
kani_tts_2_pt_robert_en
3.773796
3.550897
4.2124
4.039826
4.24855
2.748047
0
0
0.86881