english word 0.00502157
word level 0.003752572
english words 0.0037247499999999998
foreign word 0.0037184270000000003
word computer 0.0035729200000000003
word groups 0.003529032
ninth word 0.0035261040000000004
language words 0.00319776
english phone 0.002439532
letters words 0.002434164
words letters 0.002434164
foreign words 0.002421607
glish words 0.002289986
english phones 0.002036035
words 0.00197678
language text 0.001916502
english 0.00174797
set alignment 0.001706052
foreign language 0.001665807
speech data 0.0016619669999999999
speech corpus 0.001603815
training data 0.00159749
native language 0.0015843300000000001
primary language 0.001581157
first model 0.001541662
string alignment 0.001507265
language phoneset 0.001506547
indian language 0.0014816389999999999
test data 0.001462603
training set 0.001423279
letter level 0.0013848369999999999
same set 0.001362491
second model 0.001356199
alignment path 0.001348561
mapping training 0.001335156
phone set 0.0013125839999999999
test set 0.0012883920000000002
phone models 0.001281256
multilingual speech 0.001244134
quality speech 0.001236085
phone mapping 0.001224461
language 0.00122098
speech synthesis 0.001202697
data size 0.001189401
speech cor 0.001189381
phone sequence 0.001183834
guage speech 0.00117246
polyglot speech 0.001159837
speech syn 0.0011315449999999999
speech synthe 0.0011210909999999998
alignment 0.00108503
mapping table 0.00107423
telugu phone 0.001073314
multilingual text 0.001072922
pronunciation dictionary 0.0010726309999999999
text processing 0.0010649
native phone 0.0010549119999999999
phone sequences 0.0010481989999999999
other works 0.001047775
input text 0.001042886
text input 0.001042886
tts system 0.001041881
such methods 0.001038897
corresponding phone 0.0010272249999999999
abx test 0.0010142
glish phone 0.001004768
model 9.9336E-4
single sentence 9.86901E-4
actual phone 9.685519999999999E-4
text changes 9.553949999999999E-4
phonetic transcription 9.552300000000001E-4
correct phone 9.50823E-4
manual system 9.48374E-4
scattering method 9.08238E-4
letter 9.05865E-4
automated system 9.036179999999999E-4
linguistic knowledge 8.92388E-4
possible epsilon 8.70207E-4
speech 8.66734E-4
tion probability 8.62607E-4
mapping rules 8.61666E-4
tts systems 8.57998E-4
size letters 8.51552E-4
tion accuracy 8.48091E-4
multiple languages 8.377840000000001E-4
different pronunciation 8.307239999999999E-4
baseline tts 8.26809E-4
baseline telugu 8.11825E-4
different domain 8.07268E-4
training 8.02257E-4
single tts 7.98664E-4
high quality 7.97802E-4
prediction accuracy 7.91569E-4
perceptual results 7.889080000000001E-4
opinion score 7.83548E-4
telugu tts 7.78488E-4
mos score 7.77392E-4
multilingual tts 7.74136E-4
different ways 7.727389999999999E-4
different speakers 7.69455E-4
