P05-1064 of performance capability for language recognition of conversational telephone speech
P05-1064 in experiments on the 1996 NIST Language Recognition Evaluation ( LRE ) database2
P05-1064 framework using the 1996 NIST Language Recognition Evaluation ( LRE ) data . The
P05-1064 reported results on the 1996 NIST Language Recognition Evaluation database . 1 Introduction
H89-1046 speech recognition " to " spoken language recognition " . This change in the nature
P08-2006 Modeling for Automatic Classi - LRE Language Recognition Evaluation " </title> Train Test
J79-1005 recognized at all . The complete language recognition process of the adgorithm requires
E12-3006 identifying languages . Nowadays , language recognition is considered as an elementary
D15-1284 wordplay jokes based on statistical language recognition techniques , where they learned
H94-1084 the iutegralt , d OCR-natural language recognition system . The system was tested
P10-1071 clustering approach for non-literal language recognition implemented in the TroFi system
J80-3002 approached from the point of view of language recognition , i.e. , matching utterances
H94-1016 conditioning written text for spoken language recognition , and ( 3 ) using additional
J84-3001 most of the results known for language recognition have been obtained on RAMs .
J84-3005 -267 ) that lexical-functional language recognition uses only linear space . In the
H93-1055 speech detection , 2 ) speaker and language recognition , 3 ) speech understanding ,
H89-2009 limit the search space for spoken language recognition . The following dialogue illustrates
J84-3005 structures that need be recovered for language recognition are just linearly larger than
J80-3002 particular computational philosophy of language recognition . This philosophy will be described
H93-1008 Gemini is to tightly constrain language recognition to limit overgeneration , but
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