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 young kid jumped the rusty gate.
kani_tts_2_pt_david_en
4.067657
4.262217
4.368088
3.835553
4.327643
3.744141
0.142857
0.057143
0.905311
The young kid jumped the rusty gate.
kani_tts_2_pt_john_en
4.003247
3.435923
4.38748
3.994005
4.178707
3.273438
0
0
0.914458
The young kid jumped the rusty gate.
kani_tts_2_pt_linda_en
4.938813
4.796062
4.797696
4.617347
4.692933
3.804688
0
0
0.89524
The young kid jumped the rusty gate.
kani_tts_2_pt_mila_en
4.636347
4.263214
4.621094
4.348738
4.415317
3.048828
0
0
0.905059
The young kid jumped the rusty gate.
kani_tts_2_pt_robert_en
3.58061
3.677242
4.162473
4.006296
4.06505
2.710938
0
0
0.919975
Guess the result from the first scores.
kani_tts_2_pt_david_en
4.59656
4.36713
4.653384
4.361137
4.54119
3.730469
0.285714
0.236842
0.926894
Guess the result from the first scores.
kani_tts_2_pt_john_en
4.355761
3.535407
4.464453
4.348213
4.471935
3.167969
0.142857
0.078947
0.950849
Guess the result from the first scores.
kani_tts_2_pt_linda_en
4.792371
4.205269
4.732803
4.638415
4.761005
3.464844
0
0
0.927804
Guess the result from the first scores.
kani_tts_2_pt_mila_en
4.524232
4.247322
4.558266
4.225453
4.239113
3.384766
0.142857
0.105263
0.907026
Guess the result from the first scores.
kani_tts_2_pt_robert_en
4.331521
3.752422
4.70331
4.339689
4.429635
3.099609
0
0
0.946621
A salt pickle tastes fine with ham.
kani_tts_2_pt_david_en
4.212021
4.332037
4.425793
3.945123
4.426191
3.75
0.571429
0.411765
0.939418
A salt pickle tastes fine with ham.
kani_tts_2_pt_john_en
3.70673
3.53294
4.451941
4.006984
4.146141
3.503906
0.142857
0.117647
0.927862
A salt pickle tastes fine with ham.
kani_tts_2_pt_linda_en
4.962366
4.670578
4.870738
4.586102
4.768764
3.283203
0
0
0.9477
A salt pickle tastes fine with ham.
kani_tts_2_pt_mila_en
4.791462
4.538661
4.753528
4.458838
4.59916
3.091797
0
0
0.940132
A salt pickle tastes fine with ham.
kani_tts_2_pt_robert_en
4.60535
2.806202
4.774878
4.589475
4.560742
3.248047
0
0
0.90697
The just claim got the right verdict.
kani_tts_2_pt_david_en
4.042515
4.118421
4.59692
3.992235
4.500056
3.871094
0
0
0.924346
The just claim got the right verdict.
kani_tts_2_pt_john_en
4.517575
4.082951
4.333709
4.411833
4.504425
3.300781
0
0
0.920437
The just claim got the right verdict.
kani_tts_2_pt_linda_en
4.920654
4.63632
4.797799
4.585273
4.698878
3.261719
0.142857
0.027778
0.914687
The just claim got the right verdict.
kani_tts_2_pt_mila_en
4.758112
4.451974
4.600001
4.347658
4.518263
2.871094
0
0
0.904314
The just claim got the right verdict.
kani_tts_2_pt_robert_en
4.630306
4.480155
4.669676
4.445506
4.583022
3.234375
0
0
0.909583
Those thistles bend in a high wind.
kani_tts_2_pt_david_en
4.723204
4.395725
4.717656
4.557145
4.746571
2.904297
0
0
0.889768
Those thistles bend in a high wind.
kani_tts_2_pt_john_en
3.89793
2.56699
4.405206
3.879872
4.174782
3.736328
0.142857
0.147059
0.918801
Those thistles bend in a high wind.
kani_tts_2_pt_linda_en
4.461506
4.265222
4.668637
4.572744
4.653904
3.494141
0
0
0.931385
Those thistles bend in a high wind.
kani_tts_2_pt_mila_en
4.609192
4.458994
4.673405
4.304885
4.229888
2.845703
0
0
0.914018
Those thistles bend in a high wind.
kani_tts_2_pt_robert_en
3.786619
3.817161
4.352411
4.027786
4.10954
3.613281
0.142857
0.058824
0.930203
Pure bred poodles have curls.
kani_tts_2_pt_david_en
4.706424
4.306103
4.64291
4.585113
4.685798
3.517578
0.6
0.392857
0.891137
Pure bred poodles have curls.
kani_tts_2_pt_john_en
2.966607
3.414833
4.162162
3.968234
3.204928
2.767578
1.4
0.857143
0.713752
Pure bred poodles have curls.
kani_tts_2_pt_linda_en
4.733435
4.538799
4.641576
4.60027
4.646384
3.125
0.4
0.071429
0.913079
Pure bred poodles have curls.
kani_tts_2_pt_mila_en
4.498697
4.416168
4.616873
4.143677
3.463347
3.121094
0.2
0.035714
0.877603
Pure bred poodles have curls.
kani_tts_2_pt_robert_en
4.271798
4.271321
4.501495
4.066338
4.410551
3.742188
0.4
0.035714
0.890754
The tree top waved in a graceful way.
kani_tts_2_pt_david_en
4.33258
4.522332
4.537213
4.397908
4.466595
3.853516
0.25
0.027778
0.910349
The tree top waved in a graceful way.
kani_tts_2_pt_john_en
4.078602
2.934189
4.380635
4.087125
4.211284
3.78125
0.25
0.027778
0.921394
The tree top waved in a graceful way.
kani_tts_2_pt_linda_en
4.844056
4.622904
4.76164
4.549928
4.65813
3.789063
0.25
0.027778
0.910057
The tree top waved in a graceful way.
kani_tts_2_pt_mila_en
4.609859
4.404904
4.679373
4.345102
3.97547
3.722656
0.25
0.027778
0.916379
The tree top waved in a graceful way.
kani_tts_2_pt_robert_en
4.342404
4.22589
4.580312
4.301726
4.549142
2.939453
0.25
0.027778
0.912296
The spot on the blotter was made by green ink.
kani_tts_2_pt_david_en
4.544821
4.477304
4.610527
4.364324
4.55337
2.876953
0
0
0.932323
The spot on the blotter was made by green ink.
kani_tts_2_pt_john_en
4.297473
3.976844
4.487453
4.10353
4.371436
3.669922
0.1
0.044444
0.916079
The spot on the blotter was made by green ink.
kani_tts_2_pt_linda_en
4.014242
4.164631
4.543861
4.322372
4.529673
3.894531
0
0
0.932052
The spot on the blotter was made by green ink.
kani_tts_2_pt_mila_en
4.544264
4.328822
4.618371
4.239054
4.207276
2.990234
0
0
0.947231
The spot on the blotter was made by green ink.
kani_tts_2_pt_robert_en
4.554433
4.421876
4.675096
4.323508
4.603108
3.035156
0
0
0.924279
Mud was spattered on the front of his white shirt.
kani_tts_2_pt_david_en
4.986373
4.581301
4.895967
4.620969
4.822096
3.589844
0
0
0.917986
Mud was spattered on the front of his white shirt.
kani_tts_2_pt_john_en
4.67045
4.262155
4.540021
4.270644
4.492443
3.392578
0.1
0.061224
0.910753
Mud was spattered on the front of his white shirt.
kani_tts_2_pt_linda_en
4.664802
4.49716
4.666112
4.445024
4.591033
3.640625
0
0
0.920203
Mud was spattered on the front of his white shirt.
kani_tts_2_pt_mila_en
4.278737
4.372376
4.575946
4.069494
4.049778
3.279297
0
0
0.939185
Mud was spattered on the front of his white shirt.
kani_tts_2_pt_robert_en
4.537075
4.315022
4.710298
4.363385
4.549814
3.943359
0.1
0.040816
0.927725
The cigar burned a hole in the desk top.
kani_tts_2_pt_david_en
4.800027
4.456128
4.777755
4.571202
4.712641
3.626953
0.222222
0.025641
0.920954
The cigar burned a hole in the desk top.
kani_tts_2_pt_john_en
4.573661
4.282216
4.714374
4.437089
4.522024
2.90625
0.666667
0.179487
0.855954
The cigar burned a hole in the desk top.
kani_tts_2_pt_linda_en
4.873714
4.645383
4.828555
4.664502
4.71468
3.337891
0
0
0.93433
The cigar burned a hole in the desk top.
kani_tts_2_pt_mila_en
4.405803
4.185643
4.56058
4.257988
4.121276
2.792969
0.222222
0.025641
0.935612
The cigar burned a hole in the desk top.
kani_tts_2_pt_robert_en
4.534212
4.146673
4.735585
4.522015
4.695035
3.148438
0.111111
0.076923
0.92223
The empty flask stood on the tin tray.
kani_tts_2_pt_david_en
4.240495
4.011958
4.643862
4.293252
4.582714
3.095703
0
0
0.912928
The empty flask stood on the tin tray.
kani_tts_2_pt_john_en
3.48115
3.277844
4.195626
3.829514
3.766865
3.28125
0
0
0.92365
The empty flask stood on the tin tray.
kani_tts_2_pt_linda_en
4.844777
4.521862
4.729322
4.483756
4.650511
3.816406
0
0
0.936973
The empty flask stood on the tin tray.
kani_tts_2_pt_mila_en
4.391694
4.248013
4.416296
4.070668
4.030982
2.791016
0
0
0.926422
The empty flask stood on the tin tray.
kani_tts_2_pt_robert_en
4.375415
4.249013
4.686522
4.342763
4.416224
3.119141
0
0
0.92386
A speedy man can beat this track mark.
kani_tts_2_pt_david_en
4.397027
4.461663
4.452656
4.393147
4.419732
3.941406
0
0
0.894889
A speedy man can beat this track mark.
kani_tts_2_pt_john_en
3.692775
3.150173
4.180671
3.366702
3.887815
3.728516
0
0
0.9223
A speedy man can beat this track mark.
kani_tts_2_pt_linda_en
4.95657
4.674261
4.819799
4.629705
4.769987
3.027344
0
0
0.908951
A speedy man can beat this track mark.
kani_tts_2_pt_mila_en
4.299962
4.271575
4.582582
4.029662
4.006822
3.007813
0
0
0.903163
A speedy man can beat this track mark.
kani_tts_2_pt_robert_en
4.56178
4.546373
4.633081
4.412916
4.506029
3.464844
0.125
0.081081
0.924572
He broke a new shoelace that day.
kani_tts_2_pt_david_en
4.319445
4.086063
4.52479
4.208884
4.399897
1.112305
31.142857
27.21875
0.648828
He broke a new shoelace that day.
kani_tts_2_pt_john_en
4.130211
3.170778
4.216866
4.233064
4.279556
3.542969
0
0
0.912218
He broke a new shoelace that day.
kani_tts_2_pt_linda_en
4.440197
4.445884
4.489535
4.246836
4.460755
3.003906
0
0
0.87088
He broke a new shoelace that day.
kani_tts_2_pt_mila_en
4.566566
4.136898
4.612296
4.191231
4.133089
3.257813
0
0
0.881248
He broke a new shoelace that day.
kani_tts_2_pt_robert_en
4.555658
4.278364
4.617024
4.324991
4.51392
3.708984
0
0
0.899813
The coffee stand is too high for the couch.
kani_tts_2_pt_david_en
4.400249
4.428214
4.583476
4.265355
4.478808
3.382813
0.333333
0.333333
0.926374
The coffee stand is too high for the couch.
kani_tts_2_pt_john_en
4.129956
3.908124
4.370443
4.088881
4.261706
4.027344
0
0
0.923619
The coffee stand is too high for the couch.
kani_tts_2_pt_linda_en
4.82505
4.69694
4.650851
4.499722
4.555765
2.916016
0
0
0.944861
The coffee stand is too high for the couch.
kani_tts_2_pt_mila_en
4.829321
4.576238
4.767561
4.5074
4.523322
3.419922
0
0
0.849242
The coffee stand is too high for the couch.
kani_tts_2_pt_robert_en
3.925808
4.052042
4.607213
4.305459
4.441049
3.359375
0
0
0.917185
The urge to write short stories is rare.
kani_tts_2_pt_david_en
4.664959
4.696151
4.795515
4.561519
4.695155
3.220703
0
0
0.912139
The urge to write short stories is rare.
kani_tts_2_pt_john_en
4.427041
3.64429
4.514122
4.354562
4.397527
3.708984
0
0
0.875482
The urge to write short stories is rare.
kani_tts_2_pt_linda_en
4.928144
4.650899
4.769007
4.578366
4.736001
3.8125
0
0
0.908282
The urge to write short stories is rare.
kani_tts_2_pt_mila_en
4.648838
4.342227
4.657439
4.291203
4.286266
3.433594
0
0
0.916641
The urge to write short stories is rare.
kani_tts_2_pt_robert_en
4.290407
3.876192
4.548253
4.253479
4.433314
3.107422
0
0
0.908534
The pencils have all been used.
kani_tts_2_pt_david_en
4.236947
4.444568
4.695239
3.982187
4.427404
3.017578
0.166667
0.066667
0.84881
The pencils have all been used.
kani_tts_2_pt_john_en
3.7438
2.815012
4.24474
4.21043
3.941162
3.255859
0.333333
0.3
0.652774
The pencils have all been used.
kani_tts_2_pt_linda_en
4.910795
4.543499
4.736985
4.586415
4.719742
3.835938
0.166667
0.133333
0.894145
The pencils have all been used.
kani_tts_2_pt_mila_en
4.64157
4.526868
4.721063
4.322848
4.110731
3.078125
0
0
0.904059
The pencils have all been used.
kani_tts_2_pt_robert_en
3.469777
3.551612
4.460747
4.182054
3.972191
3.066406
0
0
0.900957
The pirates seized the crew of the lost ship.
kani_tts_2_pt_david_en
3.927841
3.742479
4.468528
4.067021
3.965047
3.496094
0.111111
0.068182
0.929894
The pirates seized the crew of the lost ship.
kani_tts_2_pt_john_en
4.129659
4.029428
4.434093
4.228316
3.896927
3.859375
0.222222
0.090909
0.932508
The pirates seized the crew of the lost ship.
kani_tts_2_pt_linda_en
4.893433
4.59554
4.762897
4.641995
4.737731
3.880859
0
0
0.947292
The pirates seized the crew of the lost ship.
kani_tts_2_pt_mila_en
4.752216
4.433816
4.738512
4.231935
4.423276
3.701172
0
0
0.93891
The pirates seized the crew of the lost ship.
kani_tts_2_pt_robert_en
3.97113
3.589269
4.612684
4.240784
4.218663
3.652344
0
0
0.943495
We tried to replace the coin but failed.
kani_tts_2_pt_david_en
4.008601
4.240067
4.589616
4.535446
4.599551
3.779297
0
0
0.912458
We tried to replace the coin but failed.
kani_tts_2_pt_john_en
4.17221
3.135821
4.241469
4.246343
4.10649
4.125
0.125
0.076923
0.93451
We tried to replace the coin but failed.
kani_tts_2_pt_linda_en
4.874831
4.530396
4.739676
4.557338
4.695742
4.128906
0
0
0.91322
We tried to replace the coin but failed.
kani_tts_2_pt_mila_en
4.534521
4.314553
4.625565
4.35123
4.16781
3.675781
0
0
0.944983
We tried to replace the coin but failed.
kani_tts_2_pt_robert_en
4.330487
4.311326
4.559017
4.226712
4.473042
4.140625
0.125
0.102564
0.933133
She sewed the torn coat quite neatly.
kani_tts_2_pt_david_en
4.375496
4.201262
4.624917
4.424893
4.44244
2.056641
0.142857
8.333333
0.797028
She sewed the torn coat quite neatly.
kani_tts_2_pt_john_en
4.252988
3.734399
4.46253
4.142279
4.289545
3.599609
0
0
0.881279
She sewed the torn coat quite neatly.
kani_tts_2_pt_linda_en
4.811322
4.565159
4.761768
4.565286
4.712229
3.404297
0
0
0.918437
She sewed the torn coat quite neatly.
kani_tts_2_pt_mila_en
4.684892
4.347894
4.69707
4.385376
4.363963
2.951172
0
0
0.909137
She sewed the torn coat quite neatly.
kani_tts_2_pt_robert_en
4.022822
3.512973
4.550708
4.226448
4.352213
3.484375
0
0
0.907505
The sofa cushion is red and of light weight.
kani_tts_2_pt_david_en
4.259041
2.633779
4.583203
4.393652
4.487651
3.935547
0
0
0.927735
The sofa cushion is red and of light weight.
kani_tts_2_pt_john_en
4.269151
3.798503
4.272484
4.120041
4.017595
3.603516
0
0
0.93272
The sofa cushion is red and of light weight.
kani_tts_2_pt_linda_en
5.064683
4.75766
4.787726
4.601312
4.734915
4.011719
0
0
0.938343
The sofa cushion is red and of light weight.
kani_tts_2_pt_mila_en
4.696798
4.500197
4.571676
4.18227
4.298501
3.236328
0
0
0.944825
The sofa cushion is red and of light weight.
kani_tts_2_pt_robert_en
3.87959
3.06094
4.434021
4.145887
4.138982
3.519531
0
0
0.92953