H91-1021 T 's . The SUMMIT system is a speaker-independent continuous speech recognition system developed at the MIT Laboratory
H91-1015 Management systems . DECIPHER is a speaker-independent continuous speech recognition system based on hidden Markov
H90-1063 performance of the Sphinx system for speaker-independent continuous speech recognition . The recognition error rate
H89-1016 that accurate large-vocabulary speaker-independent continuous speech recognition is feasible . We report recognition
W97-0613 Background Currently , the best speaker-independent continuous speech recognition ( SR ) is orders of magnitude
J89-4008 feasibility of accurate large-vocabulary speaker-independent continuous speech recognition . SPHINX is based on four important
H91-1054 BASELINE SYSTEM Large-vocabulary speaker-independent continuous speech recognition has made significant progress
H92-1034 not only significantly improve speaker-independent continuous speech recognition but also have a novel application
H93-1042 version of SRI 's DE - CIPHER ( TM ) speaker-independent continuous speech recognition system \ -LSB- 12 \ -RSB- . It
W97-0603 dialogue systems ( SLDSs ) using speaker-independent continuous speech recognition were just around the corner ,
W14-4807 the term ` very-large-vocabulary speaker-independent continuous speech recognition ' . Based on these observations
H93-1074 -LSB- 2 \ -RSB- and is capable of speaker-independent continuous speech recognition . The subject interacted with
H92-1034 reduced the word error rate for speaker-independent continuous speech recognition but also demonstrated a novel
H89-2038 used here for large.vocabulary speaker-independent continuous speech recognition in the techn , ques employed
H94-1077 proposed a very-large-vocabulary speaker-independent continuous speech recognition algorithm and applied it to a
W97-0607 least , be greatly lessened . Speaker-independent continuous speech recognition technology is now available ,
H90-1063 Improved Hidden Markov Modeling for Speaker-Independent Continuous Speech Recognition Xuedong Huang , Fil Alleva ,
H89-2038 support . <title> Large-Vocabulary Speaker-Independent Continuous Speech Recognition with Semi.Continuous Hidden Markov
H89-2038 12 \ -RSB- . In the t000-word speaker-independent continuous speech recognition task using word-pair grammar
W97-0409 used is the SPHINX II HMM-based speaker-independent continuous speech recognition system ( Huang et al. , 1992
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