%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Gerazov_ETAI_2016,
         author = {Gerazov, Branislav and Gjoreski, Aleksandar and Melov, Aleksandar and Honnet, Pierre-Edouard and Ivanovski, Zoran and Garner, Philip N.},
       projects = {SCOPES-SP2, SIWIS},
          month = sep,
          title = {Unified Prosody Model based on Atom Decomposition for Emphasis Detection},
      booktitle = {Proceedings of ETAI},
           year = {2016},
        address = {Struga, Macedonia},
       abstract = {The prosody of the speech signal carries both
linguistic and paralinguistic information. As such, there is a
necessity of its modelling for the purpose of integrating it in
speech technology systems. So far, there has been a multitude
of proposed models focusing mainly on intonation, but a few
also on energy and duration. The paper proposes an integrated
approach to modelling the three dimensions of prosody through
the use of atom decomposition techniques that we refer to as
a Unified Prosody Model (UPM). The advantages of using such
an integrated approach are illustrated in the task of emphasis
detection, for which simple features are constructed based on the
output of our UPM. A logistic regression classifier is trained and
tested using these features and reaches an accuracy of 91\%. This
proof-of-concept algorithm illustrates the potential behind using
the proposed UPM in improving prosody related speech research.},
            pdf = {https://publications.idiap.ch/attachments/papers/2016/Gerazov_ETAI_2016.pdf}
}