%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Ganapathy_WASPAA2009-2_2009,
         author = {Ganapathy, Sriram and Thomas, Samuel and Motlicek, Petr and Hermansky, Hynek},
       projects = {Idiap, AMIDA, DIRAC, IM2},
          month = {10},
          title = {APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION},
      booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009, WASPAA '09.},
           year = {2009},
       location = {Mohonk Mountain House, New Paltz, New York, USA},
   organization = {IEEE},
           note = {Digital Object Identifier   10.1109/ASPAA.2009.534649},
            url = {http://www.waspaa2009.com},
       abstract = {Frequency Domain Linear Prediction (FDLP) represents an efficient technique for representing the long-term amplitude modulations (AM) of speech/audio signals using autoregressive models. For the proposed analysis technique, relatively long temporal segments (1000 ms) of the input signal are decomposed into a set of
sub-bands. FDLP is applied on each sub-band to model the temporal envelopes. The residual of the linear prediction represents the frequency modulations (FM) in the sub-band signal. In this paper, we present several applications of the proposed AM-FM decomposition technique for a variety of tasks like wide-band audio coding,
speech recognition in reverberant environments and robust feature extraction for phoneme recognition.},
            pdf = {https://publications.idiap.ch/attachments/papers/2009/Ganapathy_WASPAA2009-2_2009.pdf}
}