%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 11:47:41 AM

@INPROCEEDINGS{vivek-rr-03-32b,
         author = {Tyagi, Vivek and McCowan, Iain A. and Bourlard, Herv{\'{e}} and Misra, Hemant},
       projects = {Idiap},
          title = {On Factorizing Spectral Dynamics for Robust Speech Recognition},
      booktitle = {Eurospeech},
           year = {2003},
           note = {IDIAP RR 03-32},
       crossref = {vivek-rr-03-32},
       abstract = {In this paper, we introduce new dynamic speech features based on the modulation spectrum. These features, termed Mel-cepstrum Modulation Spectrum (MCMS,',','),
 map the time trajectories of the spectral dynamics into a series of slow and fast moving orthogonal components, providing a more general and discriminative range of dynamic features than traditional delta and acceleration features. The features can be seen as the outputs of an array of band-pass filters spread over the cepstral modulation frequency range of interest. In experiments, it is shown that, as well as providing a slight improvement in clean conditions, these new dynamic features yield a significant increase in speech recognition performance in various noise conditions when compared directly to the standard temporal derivative features and RASTA-PLP features.},
            pdf = {https://publications.idiap.ch/attachments/reports/2003/mcms_rr.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2003/mcms_rr.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{vivek-rr-03-32,
         author = {Tyagi, Vivek and McCowan, Iain A. and Bourlard, Herv{\'{e}} and Misra, Hemant},
       projects = {Idiap},
          title = {On Factorizing Spectral Dynamics for Robust Speech Recognition},
           type = {Idiap-RR},
         number = {Idiap-RR-32-2003},
           year = {2003},
    institution = {IDIAP},
           note = {in proceedings of Eurospeech 2003},
       abstract = {In this paper, we introduce new dynamic speech features based on the modulation spectrum. These features, termed Mel-cepstrum Modulation Spectrum (MCMS,',','),
 map the time trajectories of the spectral dynamics into a series of slow and fast moving orthogonal components, providing a more general and discriminative range of dynamic features than traditional delta and acceleration features. The features can be seen as the outputs of an array of band-pass filters spread over the cepstral modulation frequency range of interest. In experiments, it is shown that, as well as providing a slight improvement in clean conditions, these new dynamic features yield a significant increase in speech recognition performance in various noise conditions when compared directly to the standard temporal derivative features and RASTA-PLP features.},
            pdf = {https://publications.idiap.ch/attachments/reports/2003/mcms_rr.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2003/mcms_rr.ps.gz},
ipdmembership={speech},
}