Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

Automatic Speech Recognition of Cantonese-English Code-Mixing Utterances

Joyce Y. C. Chan, P. C. Ching, Tan Lee, Houwei Cao

Chinese University of Hong Kong, China

This paper describes our recent work on the development of a large vocabulary, speaker-independent, continuous speech recognition system for Cantonese-English code-mixing utterances. The details of both acoustic modeling and language modeling will be discussed. For acoustic modeling, Cantonese accents in English words are handled by applying cross-lingual acoustic units, as well as modifications in pronunciation dictionary. Statistic language models are built from a small amount of text data, as there are many limitations on data collection. Language boundary detection based on language identification algorithms is applied, and it offers a slight improvement to the overall accuracy. The recognition accuracy for Chinese characters and English lexicons in the code-mixing utterances is 56.37% and 52.99%, respectively.

Full Paper

Bibliographic reference.  Chan, Joyce Y. C. / Ching, P. C. / Lee, Tan / Cao, Houwei (2006): "Automatic speech recognition of Cantonese-English code-mixing utterances", In INTERSPEECH-2006, paper 1065-Mon1BuP.3.