---
_id: '11869'
abstract:
- lang: eng
  text: Amongst several data driven approaches for designing filters for the time
    sequence of spectral parameters, the linear discriminant analysis (LDA) based
    method has been proposed for automatic speech recognition. Here we apply LDA-based
    filter design to cepstral features, which better match the inherent assumption
    of this method that feature vector components are uncorrelated. Extensive recognition
    experiments have been conducted both on the standard TIMIT phone recognition task
    and on a proprietary 130-words command word task under various adverse environmental
    conditions, including reverberant data with real-life room impulse responses and
    data processed by acoustic echo cancellation algorithms. Significant error rate
    reductions have been achieved when applying the novel long-range feature filters
    compared to standard approaches employing cepstral mean normalization and delta
    and delta-delta features, in particular when facing acoustic echo cancellation
    scenarios and room reverberation. For example, the phone accuracy on reverberated
    TIMIT data could be increased from 50.7\% to 56.0\%
author:
- first_name: M.
  full_name: Lieb, M.
  last_name: Lieb
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Lieb M, Haeb-Umbach R. LDA derived cepstral trajectory filters in adverse
    environmental conditions. In: <i>IEEE International Conference on Acoustics, Speech,
    and Signal Processing (ICASSP 2000)</i>. Vol 2. ; 2000:II1105-II1108 vol.2. doi:<a
    href="https://doi.org/10.1109/ICASSP.2000.859157">10.1109/ICASSP.2000.859157</a>'
  apa: Lieb, M., &#38; Haeb-Umbach, R. (2000). LDA derived cepstral trajectory filters
    in adverse environmental conditions. In <i>IEEE International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2000)</i> (Vol. 2, pp. II1105-II1108 vol.2).
    <a href="https://doi.org/10.1109/ICASSP.2000.859157">https://doi.org/10.1109/ICASSP.2000.859157</a>
  bibtex: '@inproceedings{Lieb_Haeb-Umbach_2000, title={LDA derived cepstral trajectory
    filters in adverse environmental conditions}, volume={2}, DOI={<a href="https://doi.org/10.1109/ICASSP.2000.859157">10.1109/ICASSP.2000.859157</a>},
    booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing
    (ICASSP 2000)}, author={Lieb, M. and Haeb-Umbach, Reinhold}, year={2000}, pages={II1105-II1108
    vol.2} }'
  chicago: Lieb, M., and Reinhold Haeb-Umbach. “LDA Derived Cepstral Trajectory Filters
    in Adverse Environmental Conditions.” In <i>IEEE International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2000)</i>, 2:II1105-II1108 vol.2, 2000.
    <a href="https://doi.org/10.1109/ICASSP.2000.859157">https://doi.org/10.1109/ICASSP.2000.859157</a>.
  ieee: M. Lieb and R. Haeb-Umbach, “LDA derived cepstral trajectory filters in adverse
    environmental conditions,” in <i>IEEE International Conference on Acoustics, Speech,
    and Signal Processing (ICASSP 2000)</i>, 2000, vol. 2, pp. II1105-II1108 vol.2.
  mla: Lieb, M., and Reinhold Haeb-Umbach. “LDA Derived Cepstral Trajectory Filters
    in Adverse Environmental Conditions.” <i>IEEE International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2000)</i>, vol. 2, 2000, pp. II1105-II1108
    vol.2, doi:<a href="https://doi.org/10.1109/ICASSP.2000.859157">10.1109/ICASSP.2000.859157</a>.
  short: 'M. Lieb, R. Haeb-Umbach, in: IEEE International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2000), 2000, pp. II1105-II1108 vol.2.'
date_created: 2019-07-12T05:29:50Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2000.859157
intvolume: '         2'
keyword:
- acoustic echo cancellation algorithms
- adverse environmental conditions
- automatic speech recognition
- cepstral analysis
- cepstral features
- cepstral mean normalization
- command word task
- delta-delta features
- delta features
- echo suppression
- error rate reductions
- feature vector components
- FIR filters
- LDA derived cepstral trajectory filters
- linear discriminant analysis
- long-range feature filters
- phone accuracy
- real-life room impulse responses
- reverberant data
- spectral parameters
- speech recognition
- standard TIMIT phone recognition task
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2000/LiHa00.pdf
oa: '1'
page: II1105-II1108 vol.2
publication: IEEE International Conference on Acoustics, Speech, and Signal Processing
  (ICASSP 2000)
status: public
title: LDA derived cepstral trajectory filters in adverse environmental conditions
type: conference
user_id: '44006'
volume: 2
year: '2000'
...