This work presents an approach for the recognition of the roles played by speakers participating in radio broadcast news (e.g. anchorman or guest). The approach includes two main ...
This paper proposes an approach for the automatic recognition of roles in settings like news and talk-shows, where roles correspond to specific functions like Anchorman, Guest or ...
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...
As new mobile communication technologies are becoming broadly available, there is urgent pressure to populate them with services that provide returns for the huge investements mad...
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...