• DocumentCode
    323565
  • Title

    Improvements in children´s speech recognition performance

  • Author

    Das, Subrata ; Nix, Don ; Picheny, Michael

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    433
  • Abstract
    There are several reasons why conventional speech recognition systems modeled on adult data fail to perform satisfactorily on children´s speech input. For instance, children´s vocal characteristics differ significantly from those of adults. In addition, their choices of vocabulary and sentence construction modalities usually do not conform to adult patterns. We describe comparative studies demonstrating the performance gain realized by adopting to children´s acoustic and language model data to construct a children´s speech recognition system
  • Keywords
    acoustic signal processing; error statistics; natural languages; speech processing; speech recognition; acoustic model data; adult data; adult patterns; children speech recognition performance; language model data; performance gain; sentence construction; speech input; speech recognition systems; vocabulary; vocal characteristics; word recognition error rates; Command and control systems; Databases; Degradation; Error analysis; Frequency; Loudspeakers; Natural languages; Performance gain; Speech recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.674460
  • Filename
    674460