• DocumentCode
    231552
  • Title

    On the impact of sentence length on recognition accuracy

  • Author

    Valenta, Tomas ; Smidl, Lubos

  • Author_Institution
    Fac. of Appl. Sci., New Technol. for the Inf. Soc., Univ. of West Bohemia, Plzeň, Czech Republic
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    500
  • Lastpage
    504
  • Abstract
    The goal of this article is to analyse how the length of utterances affects performance of an automatic speech recognizer (ASR). Benchmarks of an ASR system were performed for utterances of various lengths on English and Czech corpora. Then the observed phenomena are tried to be explained theoretically. Eventually, results are summarized and some conclusions drawn.
  • Keywords
    natural language processing; speech recognition; ASR system; Czech corpora; English corpora; automatic speech recognizer; sentence length; Accuracy; Acoustics; Entropy; Hidden Markov models; Speech; Speech recognition; Vocabulary; Automatic speech recognition; accuracy; speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015055
  • Filename
    7015055
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=231552