Learning Personalized Pronunciations for Contact Names Recognition
Venue
Interspeech 2016 (to appear)
Publication Year
2016
Authors
Tony Bruguier, Fuchun Peng, Francoise Beaufays
BibTeX
Abstract
Person name is intrinsically difficult to pronounce due to its variety of origin
and non-regularity. This poses significant challenges to contact dialing by voice.
In order to mitigate the pronunciation problem for contact names, we propose using
personalized pronunciation learning: people can use their own pronunciations for
their contact names. We achieve this by implicitly learning from users' corrections
in real time, providing a seamless user experience improvement. We show that
personalized pronunciation significantly reduces word error for difficult contact
names by 15% relatively.
