%Aigaion2 BibTeX export from Idiap Publications %Thursday 21 November 2024 12:16:09 PM @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} }