C02-2014 format suitable for all types of recognition processes . Ex - ample : <ccs> (
C00-1068 grammars that are used in speech recognition process . In this paper , we set N =
C02-2014 currently in use . Introduction Recognition processes produce a sequence of discrete
C02-2014 the symbol set acquired from the recognition process . The successful framework must
C02-2014 forms It is quite common that the recognition process can not perfectly identify segments
C02-2014 signals recognized by the particular recognition process . In the case of OCR or handwriting
C02-2014 , pauses are indicated by the recognition process . The input sequence is processed
A00-1038 domains have structure that pattern recognition processes can exploit , e.g. , product
C67-1004 irregularities interfering with the recognition process , and the design of the Fulcrum
C02-2014 . Let us assume that a speech recognition process is unable to identify the value
C00-2097 much slower and the size of the recognition process much larger , sometimes causing
C02-2014 orthographic lexicons -- for any recognition process ( OCR , handwriting , speech
C02-2014 feedback and corrections for various recognition processes . The framework uses customized
C02-2014 framework can be separated from the recognition process , and provide corrected and disambiguated
C67-1004 grammatical conditions pertinent to the recognition process . Consequently , each pass has
C67-1009 the rule is reversed because the recognition process consists in rewriting strings
C02-2014 the operation of the underlying recognition process , and does not prefer any methods
C02-2014 underspecified symbols ( where the recognition process can only indicate that the symbol
C02-2014 input sequence . With all types of recognition processes , there exists no one-to-one
C02-2014 particular . The output of the recognition process may be ( 1 ) poorly segmented
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