COST278 and ISCA Tutorial and Research Workshop (ITRW) on Robustness Issues in Conversational Interaction
University of East Anglia, Norwich, UK
This paper presents the ongoing work on crosslingual speech recognition in the MASPER initiative. Source acoustic models were transferred to two different target languages - Hungarian and Slovenian. Beside the monolingual source acoustic models, also a semi-multilingual set was defined. An expert-knowledge approach and a data-driven method were applied for transfer. The crosslingual speech recognition results were used to analyse the robustness of different source acoustic models respective the language similarity influence.
Bibliographic reference. Zgank, Andrej / Kacic, Zdravko / Vicsi, Klara / Szaszak, Gyorgy / Diehl, Frank / Juhar, Jozef / Lihan, Slavomir (2004): "Crosslingual transfer of source acoustic models to two different target languages", In Robust2004, paper 19.