Statistical Context-Dependent Units Boundary Correction for Corpus-based Unit-Selection Text-to-Speech

no code implementations • 5 Mar 2020 • Claudio Zito, Fabio Tesser, Mauro Nicolao, Piero Cosi

Unlike conventional techniques for speaker adaptation, which attempt to improve the accuracy of the segmentation using acoustic models that are more robust in the face of the speaker's characteristics, we aim to use only context dependent characteristics extrapolated with linguistic analysis techniques.

Segmentation

Using phone features to improve dialogue state tracking generalisation to unseen states

no code implementations • WS 2016 • I{\~n}igo Casanueva, Thomas Hain, Mauro Nicolao, Phil Green

Dialogue State Tracking Spoken Language Understanding

A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus

no code implementations • LREC 2016 • Mauro Nicolao, Heidi Christensen, Stuart Cunningham, Phil Green, Thomas Hain

This paper introduces a new British English speech database, named the homeService corpus, which has been gathered as part of the homeService project.