| W11-4415 | by the low performance of the | phoneme recognizer | , some phoneme substitutions |
| W11-4415 | modeling In a first place , a | phoneme recognizer | generates the phoneme hypothesis |
| W13-3915 | sequences of phonemes obtained using a | phoneme recognizer | . For any sequence of phonemes |
| W11-4415 | Recognition Configuration The | phoneme recognizer | used in these experiments makes |
| W11-4415 | that sequences obtained from the | phoneme recognizer | contain many errors . To avoid |
| H92-1057 | the problems associated with a | phoneme recognizer | . Speech , sampled at 16kHz from |
| W11-4415 | 285 lattices generated by the | phoneme recognizer | . This is a sufficient number |
| W13-3915 | section , the N-best hypotheses of a | phoneme recognizer | are considered as follows P ( |
| W13-3904 | spoken speech is recognized using a | phoneme recognizer | and then mapped to the corresponding |
| P14-2001 | standard Hidden Markov Model ( HMM ) | phoneme recognizer | with a three-state per phone |
| W02-0713 | , and the use of an additional | phoneme recognizer | running in parallel to a word |
| W13-3915 | sequences of phonemes obtained by a | phoneme recognizer | and exhaustively analyzes the |
| N13-1087 | output phoneme sequences from a | phoneme recognizer | . Jyothi and Fosler-Lussier ( |
| W13-3915 | sequences of phonemes obtained using a | phoneme recognizer | . The central hypothesis of this |
| N09-1021 | for the words in output from a | phoneme recognizer | ( Ng and Zue , 2000 ) , although |
| W11-4415 | effectively composing the output of a | phoneme recognizer | with a pronunciation dictionary |
| W03-0204 | it affect the accuracy of our | phoneme recognizer | , various thresholds used in |
