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ICASSP
2011
IEEE

Language dependent universal phoneme posterior estimation for mixed language speech recognition

12 years 7 months ago
Language dependent universal phoneme posterior estimation for mixed language speech recognition
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.
David Imseng, Hervé Bourlard, Mathew Magima
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors David Imseng, Hervé Bourlard, Mathew Magimai-Doss, John Dines
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