Speech Prosody 2006

Dresden, Germany
May 2-5, 2006

Adaptation of Prosodic Phrasing Models

Peter Bell (1), Tina Burrows (2), Paul Taylor (3)

(1)Centre for Speech Technology Research, University of Edinburgh, Edinburgh, UK
(2)Speech Technology Group, Cambridge Research Laboratory, Toshiba Research Europe Ltd, Cambridge, UK
(3)Department of Engineering, University of Cambridge, UK

There is considerable variation in the prosodic phrasing of speech between different speakers and speech styles. Due to the time and cost of obtaining large quantities of data to train a model for every variation, it is desirable to develop models that can be adapted to new conditions with a limited amount of training data. We describe a technique for adapting HMMbased phrase boundary prediction models which alters a statistical distribution of prosodic phrase lengths. The adapted models show improved prediction performance across different speakers and types of spoken material.

Full Paper

Bibliographic reference.  Bell, Peter / Burrows, Tina / Taylor, Paul (2006): "Adaptation of prosodic phrasing models", In SP-2006, paper 046.