• DocumentCode
    312000
  • Title

    Speech recognition for spontaneously spoken German dialogues

  • Author

    Hübener, Kai ; Jost, Uwe ; Heine, Henrik

  • Author_Institution
    Siemens AG, Germany
  • Volume
    1
  • fYear
    1996
  • fDate
    3-6 Oct 1996
  • Firstpage
    212
  • Abstract
    The paper presents a HMM speech recognition system for spontaneously spoken dialogues. It has been developed as part of the German Verbmobil project whose aim is the development of a translation support system for face-to-face conversations. The HTK based decoder deals successfully with some of the hard problems of recognizing fluent speech and reaches quite competitive recognition results
  • Keywords
    decoding; hidden Markov models; language translation; natural languages; speech recognition; German Verbmobil project; HMM speech recognition system; HTK based decoder; competitive recognition results; face-to-face conversations; fluent speech recognition; spontaneously spoken German dialogues; translation support system; Automatic speech recognition; Cepstral analysis; Decoding; Hidden Markov models; Natural languages; Speech recognition; Testing; Tin; Topology; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-3555-4
  • Type

    conf

  • DOI
    10.1109/ICSLP.1996.607079
  • Filename
    607079