---
res:
  bibo_abstract:
  - 'A major drawback of distributed versus terminal-based speech recognition is the
    fact that transmission errors can lead to degraded recognition performance. In
    this paper we employ soft features to mitigate the effect of bit errors on wireless
    transmission links: At the receiver a posteriori probabilities of the transmitted
    feature vectors are computed by combining bit reliability information provided
    by the channel decoder and a priori knowledge about residual redundancy in the
    feature vectors. While the first-order moment of the a posteriori probability
    function is the MMSE estimate, the second-order moment is a measure of the uncertainty
    in the reconstructed features. We conducted realistic simulations of GSM transmission
    and achieved significant improvements in word accuracy compared to the error mitigation
    strategy described in the ETSI standard.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Reinhold
      foaf_name: Haeb-Umbach, Reinhold
      foaf_surname: Haeb-Umbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=242
  - foaf_Person:
      foaf_givenName: Valentin
      foaf_name: Ion, Valentin
      foaf_surname: Ion
  dct_date: 2004^xs_gYear
  dct_language: eng
  dct_title: Soft Features for Improved Distributed Speech Recognition over Wireless
    Networks@
...