%Aigaion2 BibTeX export from Idiap Publications
%Tuesday 18 June 2024 11:31:43 PM

@INPROCEEDINGS{marios-rr-04-60b,
         author = {Athineos, Marios and Hermansky, Hynek and Ellis, Daniel P. W.},
       projects = {Idiap},
          title = {PLP$^2$: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns},
        journal = {Workshop on Statistical and Perceptual Audio Processing (SAPA)},
           year = {2004},
           note = {IDIAP RR 04-60},
       crossref = {marios-rr-04-60},
       abstract = {The temporal trajectories of the spectral energy in auditory critical bands over 250~ms segments are approximated by an all-pole model, the time-domain dual of conventional linear prediction. This quarter-second auditory spectro-temporal pattern is further smoothed by iterative alternation of spectral and temporal all-pole modeling. Just as Perceptual Linear Prediction (PLP) uses an autoregressive model in the frequency domain to estimate peaks in an auditory-like short-term spectral slice, PLP$^2$ uses all-pole modeling in both time and frequency domains to estimate peaks of a two-dimensional spectro-temporal pattern, motivated by considerations of the auditory system.},
            pdf = {https://publications.idiap.ch/attachments/reports/2004/rr04-60.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr04-60.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{marios-rr-04-60,
         author = {Athineos, Marios and Hermansky, Hynek and Ellis, Daniel P. W.},
       projects = {Idiap},
          title = {PLP$^2$: Autoregressive modeling of auditory-like 2-D spectro-temporal patterns},
           type = {Idiap-RR},
         number = {Idiap-RR-60-2004},
           year = {2004},
    institution = {IDIAP},
           note = {Accepted for publication in the Workshop on Statistical and Perceptual Audio Processing (SAPA) 2004},
       abstract = {The temporal trajectories of the spectral energy in auditory critical bands over 250~ms segments are approximated by an all-pole model, the time-domain dual of conventional linear prediction. This quarter-second auditory spectro-temporal pattern is further smoothed by iterative alternation of spectral and temporal all-pole modeling. Just as Perceptual Linear Prediction (PLP) uses an autoregressive model in the frequency domain to estimate peaks in an auditory-like short-term spectral slice, PLP$^2$ uses all-pole modeling in both time and frequency domains to estimate peaks of a two-dimensional spectro-temporal pattern, motivated by considerations of the auditory system.},
            pdf = {https://publications.idiap.ch/attachments/reports/2004/rr04-60.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2004/rr04-60.ps.gz},
ipdmembership={speech},
}