---
_id: '11825'
abstract:
- lang: eng
  text: In this paper, we propose an enhanced error concealment strategy at the server
    side of a distributed speech recognition (DSR) system, which is fully compatible
    with the existing DSR standard. It is based on a Bayesian approach, where the
    a posteriori probability density of the error-free feature vector is computed,
    given all received feature vectors which are possibly corrupted by transmission
    errors. Rather than computing a point estimate, such as the MMSE estimate, and
    plugging it into the Bayesian decision rule, we employ uncertainty decoding, which
    results in an integration over the uncertainty in the feature domain. In a typical
    scenario the communication between the thin client, often a mobile device, and
    the recognition server spreads across heterogeneous networks. Both bit errors
    on circuit-switched links and lost data packets on IP connections are mitigated
    by our approach in a unified manner. The experiments reveal improved robustness
    both for small- and large-vocabulary recognition tasks.
author:
- first_name: Valentin
  full_name: Ion, Valentin
  last_name: Ion
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Ion V, Haeb-Umbach R. Uncertainty decoding for distributed speech recognition
    over error-prone networks. <i>Speech Communication</i>. 2006;48(11):1435-1446.
    doi:<a href="https://doi.org/10.1016/j.specom.2006.03.007">10.1016/j.specom.2006.03.007</a>
  apa: Ion, V., &#38; Haeb-Umbach, R. (2006). Uncertainty decoding for distributed
    speech recognition over error-prone networks. <i>Speech Communication</i>, <i>48</i>(11),
    1435–1446. <a href="https://doi.org/10.1016/j.specom.2006.03.007">https://doi.org/10.1016/j.specom.2006.03.007</a>
  bibtex: '@article{Ion_Haeb-Umbach_2006, title={Uncertainty decoding for distributed
    speech recognition over error-prone networks}, volume={48}, DOI={<a href="https://doi.org/10.1016/j.specom.2006.03.007">10.1016/j.specom.2006.03.007</a>},
    number={11}, journal={Speech Communication}, author={Ion, Valentin and Haeb-Umbach,
    Reinhold}, year={2006}, pages={1435–1446} }'
  chicago: 'Ion, Valentin, and Reinhold Haeb-Umbach. “Uncertainty Decoding for Distributed
    Speech Recognition over Error-Prone Networks.” <i>Speech Communication</i> 48,
    no. 11 (2006): 1435–46. <a href="https://doi.org/10.1016/j.specom.2006.03.007">https://doi.org/10.1016/j.specom.2006.03.007</a>.'
  ieee: V. Ion and R. Haeb-Umbach, “Uncertainty decoding for distributed speech recognition
    over error-prone networks,” <i>Speech Communication</i>, vol. 48, no. 11, pp.
    1435–1446, 2006.
  mla: Ion, Valentin, and Reinhold Haeb-Umbach. “Uncertainty Decoding for Distributed
    Speech Recognition over Error-Prone Networks.” <i>Speech Communication</i>, vol.
    48, no. 11, 2006, pp. 1435–46, doi:<a href="https://doi.org/10.1016/j.specom.2006.03.007">10.1016/j.specom.2006.03.007</a>.
  short: V. Ion, R. Haeb-Umbach, Speech Communication 48 (2006) 1435–1446.
date_created: 2019-07-12T05:28:59Z
date_updated: 2022-01-06T06:51:10Z
department:
- _id: '54'
doi: 10.1016/j.specom.2006.03.007
intvolume: '        48'
issue: '11'
keyword:
- Channel error robustness
- Distributed speech recognition
- Soft features
- Uncertainty decoding
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2006/IoHa06-3.pdf
oa: '1'
page: 1435-1446
publication: Speech Communication
status: public
title: Uncertainty decoding for distributed speech recognition over error-prone networks
type: journal_article
user_id: '44006'
volume: 48
year: '2006'
...