Language dependent universal phoneme posterior estimation for mixed language speech recognition
| Type of publication: | Idiap-RR |
| Citation: | Imseng_Idiap-RR-13-2011 |
| Number: | Idiap-RR-13-2011 |
| Year: | 2011 |
| Month: | 5 |
| 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. |
| Keywords: | |
| Projects: |
Idiap SNSF-MULTI IM2 EMIME |
| Authors: | |
| Crossref by |
Imseng_ICASSP_2011 |
| Added by: | [ADM] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
