INTERSPEECH 2008
9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Dialect Recognition Using Adapted Phonetic Models

Wade Shen, Nancy Chen, Douglas A. Reynolds

MIT, USA

In this paper, we introduce a dialect recognition method that makes use of phonetic models adapted per dialect without phonetically labeled data. We show that this method can be implemented efficiently within an existing PRLM[1] system. We compare the performance of this system with other state-of-the-art dialect recognition methods (both acoustic and token-based) on the NIST LRE 2007 English and Mandarin dialect recognition tasks. Our experimental results indicate that this system can perform better than baseline GMM and adapted PRLM systems, and also results in consistent gains of 15.23% when combined with other systems.

Full Paper

Bibliographic reference.  Shen, Wade / Chen, Nancy / Reynolds, Douglas A. (2008): "Dialect recognition using adapted phonetic models", In INTERSPEECH-2008, 763-766.