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Speech synthesis that improves through adaptive learning

Project description


Language Technologies
SIMPLE4ALL develops a novel data-driven machine learning framework for speech synthesis that is robust and adaptable to new languages or new voices with only little effort.

Call for proposal

FP7-ICT-2011-7
See other projects for this call

Coordinator Contact

Simon King (Mr.)

Coordinator

THE UNIVERSITY OF EDINBURGH
Address
Old College, South Bridge
EH8 9YL Edinburgh
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 118 967
Administrative Contact
Gordon Marshall (Mr.)

Participants (4)

UNIVERSIDAD POLITECNICA DE MADRID
Spain
EU contribution
€ 432 007
Address
Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Gonzalo Leon (Prof.)
AALTO KORKEAKOULUSAATIO SR
Finland
EU contribution
€ 754 216
Address
Otakaari 1
02150 Espoo
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Mikko Kurimo (Dr.)
HELSINGIN YLIOPISTO
Finland
EU contribution
€ 535 570
Address
Yliopistonkatu 3
00014 Helsingin Yliopisto
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Tiia Saarinen (Ms.)
UNIVERSITATEA TEHNICA CLUJ-NAPOCA
Romania
EU contribution
€ 259 240
Address
Str Memorandumului 28
400114 Cluj Napoca
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Mircea Giurgiu (Prof.)