SIMPLE4ALL

Speech synthesis that improves through adaptive learning

 Coordinatore THE UNIVERSITY OF EDINBURGH 

 Organization address address: Roxburgh Street 1
city: Edinburgh
postcode: EH8 9TA

contact info
Titolo: Mr.
Nome: Gordon
Cognome: Marshall
Email: send email
Telefono: +44 131 651 4389
Fax: +44 131 651 4028

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 3˙990˙615 €
 EC contributo 3˙100˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-7
 Funding Scheme CP
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-11-01   -   2014-10-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EDINBURGH

 Organization address address: Roxburgh Street 1
city: Edinburgh
postcode: EH8 9TA

contact info
Titolo: Mr.
Nome: Gordon
Cognome: Marshall
Email: send email
Telefono: +44 131 651 4389
Fax: +44 131 651 4028

UK (Edinburgh) coordinator 0.00
2    AALTO-KORKEAKOULUSAATIO

 Organization address address: OTAKAARI
city: AALTO
postcode: 76

contact info
Titolo: Dr.
Nome: Mikko
Cognome: Kurimo
Email: send email
Telefono: 358947000000
Fax: 358947000000

FI (AALTO) participant 0.00
3    HELSINGIN YLIOPISTO

 Organization address address: YLIOPISTONKATU
city: HELSINGIN YLIOPISTO
postcode: 14

contact info
Titolo: Ms.
Nome: Tiia
Cognome: Saarinen
Email: send email
Telefono: +358 9 19124006

FI (HELSINGIN YLIOPISTO) participant 0.00
4    UNIVERSIDAD POLITECNICA DE MADRID

 Organization address address: Calle Ramiro de Maeztu
city: MADRID
postcode: 28040

contact info
Titolo: Prof.
Nome: Gonzalo
Cognome: Leon
Email: send email
Telefono: +34 91 3366048
Fax: +34 91 3365974

ES (MADRID) participant 0.00
5    UNIVERSITATEA TEHNICA CLUJ-NAPOCA

 Organization address address: STR CONSTANTIN DAICOVICIU 15
city: CLUJ NAPOCA
postcode: 400020

contact info
Titolo: Prof.
Nome: Mircea
Cognome: Giurgiu
Email: send email
Telefono: +40 264 401807
Fax: +40 264 591689

RO (CLUJ NAPOCA) participant 0.00

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 Word cloud

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feasible    speaking    language    synthesis    create    synthesiser    domain    interaction    speech    portable    appropriate    data    voice    learning    natural    style   

 Obiettivo del progetto (Objective)

The Simple4All project will create speech synthesis technology that learns from data with little or no expert supervision and continually improves itself, simply by being used.nnIn order to be accepted by users, the voice of a spoken interaction system must be natural and appropriate for the content. Using the same voice for every application is not acceptable to users.nnBut creating a speech synthesiser for a new language or domain is too expensive, because current technology relies on labelled data and human expertise. Systems comprise rules, statistical models, and data, requiring careful tuning by experienced engineers.nnSo, speech synthesis is available from a small number of vendors, offering generic products, not tailored to any application domain. Systems are not portable: creating a bespoke system for a specific application is hard, because it involves substantial effort to re-engineer every component of the system. Take-up by potential end users is limited; the range of feasible applications is narrow. Synthesis is often an off-the-shelf component, providing a highly inappropriate speaking style for applications such as dialogue, speech translation, games, personal assistants, communication aids, SMS-to-speech conversion, e-learning, toys and a multitude of other applications where a specific speaking style is important.nnWe will develop methods that enable the construction of systems from audio and text data. We will enable systems to learn after deployment. General purpose or specialised systems for any domain or language will become feasible. Our objectives are:nn* Adaptability: create highly portable and adaptable speech synthesis technology suitable for any domain or languagenn* Learning from data and interaction: provide a complete, consistent framework in which every component of a speech synthesis system can be learned and improvednn* Speaking style: enable the generation of natural, conversational, highly expressive synthetic speech which is appropriate to the wider contextnn* Demonstration and evaluation: automatic creation of a new speech synthesiser from scratch, and feedback-driven online learning, with perceptual evaluations.

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