Multidialectal acoustic modeling: a comparative study
Document typeConference lecture
Rights accessRestricted access - publisher's policy
In this paper, multidialectal acoustic modeling based on shar- ing data across dialects is addressed. A comparative study of different methods of combining data based on decision tree clustering algorithms is presented. Approaches evolved differ in the way of evaluating the similarity of sounds between di- alects, and the decision tree structure applied. Proposed systems are tested with Spanish dialects across Spain and Latin Amer- ica. All multidialectal proposed systems improve monodialectal performance using data from another dialect but it is shown that the way to share data is critical. The best combination between similarity measure and tree structure achieves an improvement of 7% over the results obtained with monodialectal systems.
CitationCaballero, M.; Moreno, M.; Nogueiras, A. Multidialectal acoustic modeling: a comparative study. A: ISCA Workshop on Multilingual Speech and Language Processing. "MULTILING 2006: ISCA Workshop on Multilingual Speech and Language Processing (MULTILING 2006), Stellenbosch University, South Africa, April 9-11, 2006". Stellenbosch: 2006, p. 1-4.