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.

Fields of science

• medical and health sciences › health sciences › infectious diseases › RNA viruses › HIV
• natural sciences › mathematics › applied mathematics › statistics and probability

Programme(s)

• FP7-ICT - Specific Programme "Cooperation": Information and communication technologies

Topic(s)

• ICT-2011.4.2 - Language Technologies

Call for proposal

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

Funding Scheme

CP - Collaborative project (generic)

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

Administrative Contact

Gordon Marshall (Mr.)

Links

EU contribution

€ 1 118 967

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.)

Links

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.)

Links

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.)

Links

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.)

Links