| P15-3001 | classic hidden Markov model for | statistical speech recognition | ( Jelinek , 1997 ) . Recently |
| P15-1047 | classic hidden Markov model for | statistical speech recognition | ( Jelinek , 1997 ) . Recently |
| W12-5803 | likelihood score obtained within a | statistical speech recognition | framework ( Strik et al. , 2007 |
| P96-1019 | Chinese corpus . 1 Introduction In | statistical speech recognition | ( Bahl et al. , 1983 ) , it is |
| H94-1042 | parser to create training for a | statistical speech recognition | component and for interpreting |
| H92-1038 | Rohlicek ABSTRACT Traditional | statistical speech recognition | systems typically make strong |
| P11-1071 | models are used in a similar way in | statistical speech recognition | and machine trans - lation . |
| J05-1001 | can be applied . Progress with | statistical speech recognition | and machine learning have helped |
| J14-1009 | Pereira ( 2009 , page 8 ) mention | statistical speech recognition | and statistical machine translation |
| W06-1303 | ASR ) system . We used the Sonic | statistical speech recognition | engine from the University of |
| P04-1005 | general setup that is used in | statistical speech recognition | and machine translation , and |
