%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Imseng_Idiap-RR-01-2013,
         author = {Imseng, David and Dines, John and Motlicek, Petr and Garner, Philip N. and Bourlard, Herv{\'{e}}},
       projects = {Idiap, SNSF-MULTI, EMIME, IM2},
          month = {1},
          title = {Comparing different acoustic modeling techniques for multilingual boosting},
           type = {Idiap-RR},
         number = {Idiap-RR-01-2013},
           year = {2013},
    institution = {Idiap},
       crossref = {Imseng_INTERSPEECH_2012},
       abstract = {In this paper, we explore how different acoustic modeling techniques
can benefit from data in languages other than the target  language.
We propose an algorithm to perform decision tree state clustering for
the recently proposed Kullback-Leibler divergence based hidden Markov models (KL-HMM)
and compare it to subspace Gaussian mixture modeling (SGMM).
KL-HMM can exploit multilingual information in the form of universal phoneme
posterior features and SGMM benefits from a universal background model that can be
trained on multilingual data. Taking the Greek SpeechDat(II) data as an example,
we show that KL-HMM performs best for small amounts of target language data.},
            pdf = {https://publications.idiap.ch/attachments/reports/2012/Imseng_Idiap-RR-01-2013.pdf}
}



crossreferenced publications: 
@INPROCEEDINGS{Imseng_INTERSPEECH_2012,
         author = {Imseng, David and Dines, John and Motlicek, Petr and Garner, Philip N. and Bourlard, Herv{\'{e}}},
       keywords = {multilingual acoustic modeling, speech recognition, under-resourced languages},
       projects = {Idiap, SNSF-MULTI, IM2, EMIME},
          month = sep,
          title = {Comparing different acoustic modeling techniques for multilingual boosting},
      booktitle = {Proceedings of Interspeech},
           year = {2012},
       location = {Portland, Oregon},
            pdf = {https://publications.idiap.ch/attachments/papers/2012/Imseng_INTERSPEECH_2012.pdf}
}