C02-1136 With the recent advances of the continuous speech recognition technology , a considerable number
C04-1076 corpus is normally used for a continuous speech recognition task . This speech corpus is
D08-1086 the Mandarin large vocabulary continuous speech recognition ( LVCSR ) , a unified framework
E09-1019 augmentation of language models for continuous speech recognition of SMS text messages </title>
C04-1076 overall framework designed for Thai continuous speech recognition system that incorporates a conventional
D08-1086 challenges of Mandarin large vocabulary continuous speech recognition task , within the unified framework
D13-1104 speakers for the large vocabulary continuous speech recognition tasks . 5.1 Text Materials The
D08-1086 essential for large vocabulary continuous speech recognition ( LVCSR ) , which aims to determine
C88-2132 speech recognition . Typical of continuous speech recognition are the following aspects : 1
A88-1000 the current state-of-the-art in continuous speech recognition and natural language processing
C90-2054 for example , as the output of a continuous speech recognition system , and also as the result
D14-1156 component in any large vocabulary continuous speech recognition ( LVCSR ) system ( Huang et al.
D14-1098 Functional Head Constraint , into a continuous speech recognition system . Under the Functional
acl-2001-inv1 speaker-independent , large vocabulary , continuous speech recognition , which has opened up a wide
D10-1045 solutions , such as large vocabulary continuous speech recognition ( LVCSR ) systems , can produce
E09-1019 language models are part of a continuous speech recognition system that enables users to
E09-1019 domain of SMS text messages . Continuous speech recognition experiments are conducted on
C96-2154 as a part of the 1995 AI1 , PA continuous speech recognition evaluation under the supervision
A00-1034 HMMs have been widely used in continuous speech recognition , part-of-speech tagging , OCR
E09-1054 1994 ) . In the large-vocabulary continuous speech recognition ( CSR ) tests reported by Pallett
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