• DocumentCode
    2875822
  • Title

    Sautrela: a highly modular open source speech recognition framework

  • Author

    Penagarikano, Mikel ; Bordel, German

  • Author_Institution
    Dept. of Electr. & Electron., Basque Country Univ., Leioa
  • fYear
    2005
  • fDate
    27-27 Nov. 2005
  • Firstpage
    386
  • Lastpage
    391
  • Abstract
    This paper describes the Sautrela system (www.sautrela.org), a highly modular and pluggable open source framework for generic purpose signal processing, focused on speech recognition. The aim of Sautrela is to unify in a single framework almost all the tasks related to pattern recognition such as signal processing, model training and decoding. This framework has been developed using the Javatrade technology and thus ensures its portability to a large variety of computer platforms
  • Keywords
    Java; public domain software; speech recognition; Java technology; Sautrela system; generic purpose signal processing; modular open source speech recognition; pattern recognition; pluggable open source framework; Application software; Decoding; Electronic mail; Hidden Markov models; Java; Object oriented modeling; Optimization methods; Pattern recognition; Signal processing; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Speech Recognition and Understanding, 2005 IEEE Workshop on
  • Conference_Location
    San Juan
  • Print_ISBN
    0-7803-9478-X
  • Electronic_ISBN
    0-7803-9479-8
  • Type

    conf

  • DOI
    10.1109/ASRU.2005.1566522
  • Filename
    1566522