Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/217> ?p ?o. }
Showing items 1 to 14 of
14
with 100 items per page.
- 217 creator carlos-david-martinez-hinarejos.
- 217 creator miriam-lujan-mares.
- 217 creator vicent-alabau-gonzalvo.
- 217 type InProceedings.
- 217 label "Evaluation of several Maximum Likelihood Linear Regression Variants for Language Adaptation.".
- 217 sameAs 217.
- 217 abstract "Multilingual Automatic Speech Recognition (ASR) systems are of great interest in multilingual environments. We studied the case of the Comunitat Valenciana where the two official languages are Spanish and Valencian. These two languages share most of their phonemes, and their syntax and vocabulary are also quite similar since they have influenced each other for many years. We constructed a system, and trained its acoustic models with a small corpus of Spanish and Valencian, which has produced poor results due to the lack of data. Adaptation techniques can be used to adapt acoustic models that are trained with a large corpus of a language inr order to obtain acoustic models for a phonetically similar language. This process is known as language adaptation. The Maximum Likelihood Linear Regression (MLLR) technique has commonly been used in speaker adaptation; however we have used MLLR in language adaptation. We compared several MLLR variants (mean square, diagonal matrix and full matrix) for language adaptation in order to choose the best alternative for our system.".
- 217 hasAuthorList authorList.
- 217 hasTopic Linguistics.
- 217 isPartOf proceedings.
- 217 keyword "Multilinguality".
- 217 keyword "Speech recognition and understanding".
- 217 keyword "Tools, systems, applications".
- 217 title "Evaluation of several Maximum Likelihood Linear Regression Variants for Language Adaptation.".