@inproceedings{ Doostdar:Schiffer:Lakemeyer:2008:RoboCup:RoiSpeR,
  author      = "Masrur Doostdar and Stefan Schiffer and Gerhard Lakemeyer",
  affiliation = "RWTH Aachen University, Germany",
  title       = "Robust Speech Recognition for Service Robotics Applications",
  booktitle   = "Proceedings of the International RoboCup Symposium 2008 (RoboCup 2008)",
  pages       = "1--12",
  year        = "2008",
  month       = "July 14-18",
  location    = "Suzhou, China",
  publisher   = "Springer",
  series      = "LNCS",
  volume      = "5399",
  number      = "",
  isbn        = "978-3-642-02920-2",
  ISSN        = "0302-9743 (Print) 1611-3349 (Online)",
  doi         = "10.1007/978-3-642-02921-9_1",
  note        = "Best Student Paper Award",
  abstract    = "Mobile service robots in human environments need to
                  have versatile abilities to perceive and to interact
                  with their environment.  Spoken language is a
                  natural way to interact with a robot, in general,
                  and to instruct it, in particular. However, most
                  existing speech recognition systems often suffer
                  from high environmental noise present in the target
                  domain and they require in-depth knowledge of the
                  underlying theory in case of necessary adaptation to
                  reach the desired accuracy.  We propose and evaluate
                  an architecture for a robust speaker independent
                  speech recognition system using off-the-shelf
                  technology and simple additional methods. We first
                  use close speech detection to segment closed
                  utterances which alleviates the recognition process.
                  By further utilizing a combination of an FSG based
                  and an $N$-gram based speech decoder we reduce false
                  positive recognitions while achieving high
                  accuracy.",
}