INTERSPEECH 2011
12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Pronunciation Learning from Continuous Speech

Ibrahim Badr, Ian McGraw, James Glass

MIT, USA

This paper explores the use of continuous speech data to learn stochastic lexicons. Building on previous work in which we augmented graphones with acoustic examples of isolated words, we extend our pronunciation mixture model framework to two domains containing spontaneous speech: a weather information retrieval spoken dialogue system and the academic lectures domain. We find that our learned lexicons out-perform expert, hand-crafted lexicons in each domain.

Full Paper

Bibliographic reference.  Badr, Ibrahim / McGraw, Ian / Glass, James (2011): "Pronunciation learning from continuous speech", In INTERSPEECH-2011, 549-552.