@inproceedings{LongtonJackson_ICME08,
	AUTHOR	=	"Longton, J. and Jackson, P. J. B.",
	TITLE	=	"Parallel model combination and word recognition in soccer audio",
        BOOKTITLE =	"Proc.\ Int.\ Conf.\ on Multimedia \& Expo. (ICME'08)",
	ADDRESS	=	"Hannover, Germany",
        PAGES   =       "",
	MONTH	=	"June",
        YEAR    =       "2008",
	CITE	=	"Longton and Jackson (2008)",
	ABSTRACT =	
"The audio scene from broadcast soccer can be used for
identifying highlights from the game. Audio cues derived
from these sources provide valuable information about game
events, as can the detection of key words used by the commentators.
In this paper we interpret the feasibility of incorporating
both commentator word recognition and information
about the additive background noise in an HMM structure.
A limited set of audio cues, which have been extracted from
data collected from the 2006 FIFA World Cup, are used
to create an extension to the Aurora-2 database. The new
database is then tested with various PMC models and compared
to the standard baseline, clean and multi-condition
training methods. It is found that incorporating SNR and
noise type information into the PMC process is beneficial to
recognition performance." 
}