Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Accent Modeling Based on Pronunciation Dictionary Adaptation for Large Vocabulary Mandarin Speech Recognition

Chao Huang, Eric Chang, Jianlai Zhou, Kai-Fu Lee

Microsoft Research China, Beijing Sigma Center, Beijing, China

A method of accent modeling through Pronunciation Dictionary Adaptation (PDA) is presented. We derive the pronunciation variation between canonical speaker groups and accent groups and add an encoding of the differences to a canonical dictionary to create a new, adapted dictionary that reflects the accent characteristics. The pronunciation variation information is then integrated with acoustic and language models into a one-pass search framework. It is assumed that acoustic deviation and pronunciation variation are independent but complementary phenomena that cause poor performance among accented speakers. Therefore, MLLR, an efficient model adaptation technique, is also presented both alone and in combination with PDA. It is shown that when PDA, MLLR and PDA+MLLR are used, error rate reductions of 13.9%, 24.1% and 28.4% respectively are achieved.

Full Paper

Bibliographic reference.  Huang, Chao / Chang, Eric / Zhou, Jianlai / Lee, Kai-Fu (2000): "Accent modeling based on pronunciation dictionary adaptation for large vocabulary Mandarin speech recognition", In ICSLP-2000, vol.3, 818-821.