dialogue system 0.001886288
speech corpus 0.00178773
features table 0.001750708
features mean 0.001731654
additional features 0.001708902
word net 0.001674223
annotated word 0.00166314
word sequences 0.001652239
synthesizer features 0.0016456189999999999
preferred word 0.001642079
thesizer features 0.00164167
word lattice 0.001614482
word orders 0.001612456
word lattices 0.001612456
dispreferred word 0.001612456
feature set 0.001606802
language model 0.001597498
ing feature 0.001578751
language dialogue 0.001514782
user model 0.0015141059999999999
quality speech 0.001492185
feature vector 0.001475934
features 0.00145522
words models 0.001426543
feature sets 0.0013774500000000001
natural speech 0.001370662
further system 0.001368696
speech rate 0.00135655
speech synthesis 0.001354797
feature values 0.001341582
extended feature 0.001338022
speech output 0.001330211
feature combinations 0.0013202420000000001
different user 0.0013201670000000001
feature subsets 0.001318387
certain words 0.001316451
synthetic speech 0.0013123
specific words 0.001294456
synthesis system 0.001293597
speech samples 0.001283033
appropriate speech 0.0012760900000000001
speech files 0.001259704
speech syn 0.001258033
speech database 0.001256282
speech synthesizer 0.001252689
recorded speech 0.00124829
speech waveforms 0.001245941
festival speech 0.0012453450000000001
ngrams words 0.001228606
comic system 0.0012204240000000001
slurred words 0.001211655
trigram model 0.001209718
system development 0.001201028
logue system 0.0011989050000000001
alogue system 0.001184827
system permit 0.001184827
text quality 0.0011777860000000001
multimodal dialogue 0.001169724
dialogue context 0.0011558760000000001
dialogue history 0.0011265210000000001
feature 0.00112407
text analysis 0.0011188959999999999
dialogue sys 0.001115609
comic dialogue 0.001104532
ent dialogue 0.001100837
training data 0.001087248
single text 0.001069783
dialogue interface 0.001068558
speech 0.00106229
different output 0.001041896
words 0.0010279
alternative text 0.001019128
different realizations 0.001015995
language generation 0.001001394
system 0.00100109
test data 9.9637E-4
same quality 9.8617E-4
annotated text 9.827009999999999E-4
text string 9.71115E-4
model 9.67914E-4
different opportunity 9.582309999999999E-4
such utterances 9.51247E-4
able corpus 9.460410000000001E-4
comic corpus 9.44774E-4
training error 9.430739999999999E-4
information structure 9.40998E-4
unrestricted text 9.31884E-4
text orderings 9.31884E-4
corpus fre 9.21437E-4
semantic classes 9.18341E-4
possible paraphrases 9.09757E-4
same way 9.07774E-4
tion problem 9.0262E-4
other examples 9.018699999999999E-4
target sentences 8.90253E-4
sentence plan 8.88552E-4
dialogue 8.85198E-4
optimization problem 8.7835E-4
same content 8.71316E-4
comic sentence 8.674069999999999E-4
