word error 0.003571429
word approach 0.003538198
segmentation word 0.003383208
word forms 0.0031930220000000002
size word 0.00318825
word items 0.003178601
relative word 0.003172996
word form 0.003162761
word hybrid 0.003145269
common word 0.003132312
word list 0.003131188
word end 0.003116082
loeme word 0.003093354
word formation 0.003089433
traditional word 0.003086876
word fragments 0.0030816610000000003
word boundaries 0.003074065
ter word 0.003073429
distinct word 0.003062463
ditional word 0.0030597940000000002
ent word 0.003059493
word boundary 0.003057363
word instances 0.003054243
language model 0.00278313
language models 0.00251118
different languages 0.002271914
oov words 0.002221882
different approaches 0.002172917
specific words 0.002156963
model training 0.002121875
frequent words 0.002094939
lion words 0.002060928
different types 0.002053882
unknown words 0.002051088
phoneme words 0.002047175
compound words 0.002047175
different oov 0.002011082
different items 0.001965871
vocabulary model 0.001960902
different sentences 0.0019573579999999998
model text 0.001936878
different item 0.001915116
different age 0.001911685
different lms 0.001883922
different decoder 0.001878339
different mod 0.001843834
different microphones 0.001842245
different lengths 0.001840468
different lex 0.00183891
model types 0.001838002
different samplings 0.001836136
different pronunci 0.001836136
statistical language 0.001831643
morph models 0.0018240790000000002
language modeling 0.001816599
other models 0.001786295
words 0.00178534
irregularity language 0.001778415
acoustic model 0.001743178
training data 0.0017426450000000001
test data 0.001730514
fusion language 0.001728056
hybrid model 0.0017166590000000002
particular language 0.001696725
language mod 0.001693764
model probabilities 0.00166557
model context 0.001657324
guage model 0.001646388
large models 0.001591819
speech recognition 0.001561614
speech corpus 0.001531433
several models 0.001531209
same speech 0.0015161240000000002
wer models 0.001508953
test set 0.001504964
morph set 0.001491249
morph approach 0.001488297
acoustic models 0.001471228
language 0.00142447
vocabulary speech 0.001420215
same corpus 0.0014116110000000001
morphs models 0.001404424
other languages 0.001396959
data sets 0.0013835920000000001
markov models 0.00137031
mixture models 0.0013622950000000001
model 0.00135866
varigram models 0.001348204
first approach 0.0012940970000000001
first morph 0.001280538
unseen data 0.001254261
noisy data 0.0012410700000000002
estonian speech 0.001225174
evaluation set 0.00122291
second approach 0.001203824
error rate 0.001192163
text segmentation 0.001174156
same evaluation 0.001167181
morph sets 0.0011415309999999999
vocabulary asr 0.0011402629999999999
