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<item>
  <id>06094743</id>
  <dt>a</dt>
  <an>06094743</an>
  <augroup>
    <au>Nishii, Shunsuke</au>
    <au>Suzumura, Toyotaro</au>
  </augroup>
  <ti>Highly scalable speech processing on data stream management system.</ti>
  <so>Lee, Sang-goo (ed.) et al., Database systems for advanced applications. 17th international conference, DASFAA 2012, Busan, South Korea, April 15--19, 2012. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-29034-3/pbk). Lecture Notes in Computer Science 7239, 203-212 (2012).</so>
  <py>2012</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-29035-0_14</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Today we require sophisticated speech processing technologies that process massive speech data simultaneously. In this paper we describe the implementation and evaluation of a Julius-backended parallel and scalable speech recognition system on the data stream management system ``System S'' developed by IBM Research. Our experimental result on our parallel and distributed environment with 4 nodes and 16 cores shows that the throughput can be significantly increased by a factor of 13.8 when compared with that on a single core. We also demonstrate that the beam management module in our system can keep throughput and recognition accuracy with varying input data rate.</ab>
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