%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Magimai.-Doss_Idiap-RR-24-2009,
         author = {Magimai.-Doss, Mathew and Aradilla, Guillermo and Bourlard, Herv{\'{e}}},
       projects = {IM2, SNSF-MULTI},
          month = {9},
          title = {On Joint Modelling of Grapheme and Phoneme Information using KL-HMM for ASR},
           type = {Idiap-RR},
         number = {Idiap-RR-24-2009},
           year = {2009},
    institution = {Idiap},
       abstract = {In this paper, we propose a simple approach to jointly model both
grapheme and phoneme information using Kullback-Leibler divergence
based HMM (KL-HMM) system. More specifically, graphemes are used as
subword units and phoneme posterior probabilities estimated at output of
multilayer perceptron are used as 
observation feature vector. Through preliminary studies on DARPA
Resource Management
corpus it is shown that although the proposed approach yield lower
performance compared to KL-HMM system using phoneme as subword units,
this gap in the performance can be bridged via 
temporal modelling at the observation feature vector level and
contextual modelling of early tagged contextual graphemes.},
            pdf = {https://publications.idiap.ch/attachments/reports/2009/Magimai.-Doss_Idiap-RR-24-2009.pdf}
}