%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{hynek-rr-03-50b,
         author = {Hermansky, Hynek},
       projects = {Idiap},
          title = {{TRAP-TANDEM:} {D}ata-driven extraction of temporal features from speech},
      booktitle = {large part published in Proceedings of ASRU-2003},
         number = {50},
           year = {2003},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
           note = {IDIAP-RR 03-50},
       crossref = {hynek-rr-03-50},
       abstract = {Conventional features in automatic recognition of speech describe instantaneous shape of a short-time spectrum of speech. The TRAP-TANDEM features describe likelihoods of sub-word classess at a given time instant, derived from temporal trajectories of band-limited spectral densities in the vicinity of a given time instant. The paper presents some rationale behind the data-driven TRAP-TANDEM approach, briefly describes the technique, point to relevant oublications and summarizes results achieved so far.},
            pdf = {https://publications.idiap.ch/attachments/reports/2003/rr03-50.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2003/rr03-50.ps.gz},
ipdinar={2003},
ipdmembership={speech},
language={English},
}



crossreferenced publications: 
@TECHREPORT{hynek-rr-03-50,
         author = {Hermansky, Hynek},
       projects = {Idiap},
          title = {{TRAP-TANDEM:} {D}ata-driven extraction of temporal features from speech},
           type = {Idiap-RR},
         number = {Idiap-RR-50-2003},
           year = {2003},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
           note = {large part published in Proceedings of ASRU-2003},
       abstract = {Conventional features in automatic recognition of speech describe instantaneous shape of a short-time spectrum of speech. The TRAP-TANDEM features describe likelihoods of sub-word classess at a given time instant, derived from temporal trajectories of band-limited spectral densities in the vicinity of a given time instant. The paper presents some rationale behind the data-driven TRAP-TANDEM approach, briefly describes the technique, point to relevant oublications and summarizes results achieved so far.},
            pdf = {https://publications.idiap.ch/attachments/reports/2003/rr03-50.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2003/rr03-50.ps.gz},
ipdinar={2003},
ipdmembership={speech},
language={English},
}