000146186 001__ 146186
000146186 005__ 20180317093249.0
000146186 037__ $$aCONF
000146186 245__ $$aApplication of Out-Of-Language Detection To Spoken-Term Detection
000146186 269__ $$a2010
000146186 260__ $$c2010
000146186 336__ $$aConference Papers
000146186 520__ $$aThis paper investigates the detection of English spoken terms in a conversational multi-language scenario. The speech is processed using a large vocabulary continuous speech recognition system. The recognition output is represented in the form of word recognition lattices which are then used to search required terms. Due to the potential multi-lingual speech segments at the input, the spoken term detection system is combined with a module performing out-of language detection to adjust its confidence scores. First, experimental results of spoken term detection are provided on the conversational telephone speech database distributed by NIST in 2006. Then, the system is evaluated on a multi-lingual database with and without employment of the out-of-language detection module, where we are only interested in detecting English terms (stored in the index database). Several strategies to combine these two systems in an efficient way are proposed and evaluated. Around 7% relative improvement over a stand-alone STD is achieved
000146186 700__ $$aMotlicek, Petr
000146186 700__ $$aValente, Fabio
000146186 7112_ $$a2010 IEEE International Conference on Acoustics, Speech and Signal Processing$$cDallas, USA
000146186 8564_ $$uhttp://publications.idiap.ch/index.php/publications/showcite/Motlicek_Idiap-RR-04-2010$$zRelated documents
000146186 909CO $$ooai:infoscience.tind.io:146186$$pSTI$$pconf
000146186 909C0 $$0252189$$pLIDIAP$$xU10381
000146186 937__ $$aLIDIAP-CONF-2010-004
000146186 970__ $$aMotlicek_ICASSP2010_2010/LIDIAP
000146186 973__ $$aEPFL$$sPUBLISHED
000146186 980__ $$aCONF