%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Imseng_ICASSP_2011,
                      author = {Imseng, David and Bourlard, Herv{\'{e}} and Magimai-Doss, Mathew and Dines, John},
                    projects = {Idiap, SNSF-MULTI, IM2, EMIME},
                       month = may,
                       title = {Language dependent universal phoneme posterior estimation for mixed language speech recognition},
                   booktitle = {Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing},
                        year = {2011},
                       pages = {5012-5015},
                    location = {Prag, CZ},
                    crossref = {Imseng_Idiap-RR-13-2011},
                         pdf = {https://publications.idiap.ch/attachments/papers/2011/Imseng_ICASSP_2011.pdf}
}



crossreferenced publications: 
@TECHREPORT{Imseng_Idiap-RR-13-2011,
                      author = {Imseng, David and Bourlard, Herv{\'{e}} and Magimai-Doss, Mathew and Dines, John},
                    projects = {Idiap, SNSF-MULTI, IM2, EMIME},
                       month = {5},
                       title = {Language dependent universal phoneme posterior estimation for mixed language speech recognition},
                        type = {Idiap-RR},
                      number = {Idiap-RR-13-2011},
                        year = {2011},
                 institution = {Idiap},
                    abstract = {This paper presents a new approach to estimate "universal" phoneme posterior probabilities for
mixed language speech recognition. More specifically, we propose a new theoretical framework to
combine phoneme class posterior probabilities in a principled way by using (statistical) evidence
about the language identity. We investigate the proposed approach in a mixed language environment
(SpeechDat(II)) consisting of five European languages. Our studies show that the proposed approach
can yield significant improvements on a mixed language task, while maintaining the performance on
monolingual tasks. Additionally, through a case study, we also demonstrate the potential benefits of
the proposed approach for non-native speech recognition.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2010/Imseng_Idiap-RR-13-2011.pdf}
}