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         author = {Garner, Philip N. and Dines, John},
       projects = {AMIDA, IM2, TA2},
          month = {5},
          title = {Tracter: A Lightweight Dataflow Framework},
           type = {Idiap-RR},
         number = {Idiap-RR-10-2010},
           year = {2010},
    institution = {Idiap},
       abstract = {Tracter is introduced as a dataflow framework particularly useful
for speech recognition.  It is designed to work on-line in real-time
as well as off-line, and is the feature extraction means for the
Juicer transducer based decoder.  This paper places Tracter in
context amongst the dataflow literature and other commercial and
open source packages.  Some design aspects and capabilities are
discussed.  Finally, a fairly large processing graph incorporating
voice activity detection and feature extraction is presented as an
example of Tracter's capabilites.},
            pdf = {https://publications.idiap.ch/attachments/reports/2010/Garner_Idiap-RR-10-2010.pdf}