• DocumentCode
    1749676
  • Title

    On combining recognizers for improved recognition of spelled names

  • Author

    Jouvet, Denis ; Droguet, Sebastien

  • Author_Institution
    France Te1ecom R&D, Lannion, France
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    385
  • Abstract
    This paper deals with the recognition of spelled names over the telephone. Two recognition approaches are recalled. One is based on a forward-backward algorithm in which the spelling lexicon is handled by the A* algorithm in the backward pass. The other is a 2-step approach, which relies on a discrete HMM-based retrieval procedure. Both approaches integrate a rejection test. Combinations of the two approaches are investigated in this paper. First, a sequential combination is presented. The 2-step approach is used only when the forward-backward approach does not yield an answer because of memory limitations. This sequential combination, evaluated on field data collected from a vocal directory service, takes the best of both approaches. Results are presented for the recognition of valid spelled names as well as for the rejection of incorrect data. Finally, a detailed analysis of the recognition results of the 2 approaches shows that a comparison of the 2 recognition results leads to an efficient reliability criterion
  • Keywords
    hidden Markov models; speech recognition; telephony; 2-step approach; A* algorithm; backward pass; discrete HMM-based retrieval procedure; forward-backward algorithm; rejection test; sequential combination; spelled names recognition; spelling lexicon; Cities and towns; Decoding; Hidden Markov models; Humans; Research and development; Speech enhancement; Telephony; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940848
  • Filename
    940848