• DocumentCode
    1371768
  • Title

    VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system

  • Author

    Nöth, Elmar ; Batliner, Anton ; Kiessling, Andreas ; Kompe, Ralf ; Niemann, Heinrich

  • Author_Institution
    Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
  • Volume
    8
  • Issue
    5
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    519
  • Lastpage
    532
  • Abstract
    We show how prosody can be used in speech understanding systems. This is demonstrated with the VERBMOBIL speech to-speech translation system which, to our knowledge, is the first complete system which successfully uses prosodic information in the linguistic analysis. Prosody is used by computing probabilities for clause boundaries, accentuation, and different types, of sentence mood for each of the word hypotheses computed by the word recognizer. These probabilities guide the search of the linguistic analysis. Disambiguation is already achieved during the analysis and not by a prosodic verification of different linguistic hypotheses. So far, the most useful prosodic information is provided by clause boundaries. These are detected with a recognition rate of 94%. For the parsing of word hypotheses graphs, the use of clause boundary probabilities yields a speed-up of 92% and a 96% reduction of alternative readings
  • Keywords
    language translation; linguistics; natural languages; probability; speech processing; VERBMOBIL; accentuation; alternative readings reduction; clause boundaries; disambiguation; experiments; linguistic analysis; linguistic components; probabilities; prosodic information; recognition rate; sentence mood; speech to-speech translation system; speech understanding system; stochastic language models; syntactic analysis; word hypotheses graph; word recognizer; Data mining; Decoding; Educational technology; Emotion recognition; Frequency; Humans; Information analysis; Mood; Rhythm; Speech analysis;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.861370
  • Filename
    861370