• DocumentCode
    3043596
  • Title

    Deductive approach to automatic recognition of Russian spoken sentences

  • Author

    Derkach, Miron

  • Author_Institution
    Lvov University, Lvov, U.S.S.R.
  • Volume
    5
  • fYear
    1980
  • fDate
    29312
  • Firstpage
    1041
  • Lastpage
    1044
  • Abstract
    A deductive recognizing strategy, which requires a permanent linguistic activity at the highest levels (pragmatic, semantic, syntactic) is described. Semantically probable and grammatically correct sentences are continuously predicted and checked against the recognizing speech signal. They build successions of predicted phoneme standards processed in the multidimensional acoustic phonetic feature domain. The verification algorithm evaluates distances from each discrete 20 millisecond long interval of the speech signal to the corresponding predicted phoneme standards, thus converting the dynamic spectrogram of the message into the the phonemogram. Correct phoneme verification of 80% of words was obtained in a pilot study applying the deductive recognition strategy.
  • Keywords
    Automatic speech recognition; Biophysics; Multidimensional systems; Predictive models; Signal processing; Spectrogram; Speech analysis; Speech processing; Speech recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1980.1171081
  • Filename
    1171081