%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Motlicek_Idiap-RR-36-2012,
         author = {Motlicek, Petr and Valente, Fabio and Szoke, Igor},
       keywords = {Confidence Measure (CM), KeyWord Spotting (KWS), Spoken Term Detection (STD)},
       projects = {Idiap, IM2, TA2},
          month = {12},
          title = {IMPROVING ACOUSTIC BASED KEYWORD SPOTTING USING LVCSR LATTICES},
           type = {Idiap-RR},
         number = {Idiap-RR-36-2012},
           year = {2012},
    institution = {Idiap},
        address = {Rue Marconi 19},
       abstract = {This paper investigates detection of English keywords in a conversational
scenario using a combination of acoustic and LVCSR based
keyword spotting systems. Acoustic KWS systems search predefined
words in parameterized spoken data. Corresponding confidences
are represented by likelihood ratios given the keyword models
and a background model. First, due to the especially high number
of false-alarms, the acoustic KWS system is augmented with
confidence measures estimated from corresponding LVCSR lattices.
Then, various strategies to combine scores estimated by the acoustic
and several LVCSR based KWS systems are explored. We show
that a linear regression based combination significantly outperforms
other (model-based) techniques. Due to that, the relative number of
false-alarms of the combined KWS system decreased by more than
50\% compared to the acoustic KWS system. Finally, an attention is
also paid to the complexities of the KWS systems enabling them to
potentially be exploited in real-detection tasks.},
            pdf = {https://publications.idiap.ch/attachments/reports/2012/Motlicek_Idiap-RR-36-2012.pdf}
}