SpeDial
Spoken Dialogue Analytics
| Coordinatore | ATHENA RESEARCH AND INNOVATION CENTER IN INFORMATION COMMUNICATION & KNOWLEDGE TECHNOLOGIES
Organization address
address: ARTEMIDOS 6 KAI EPIDAVROU contact info |
| Nazionalità Coordinatore | Greece [EL] |
| Totale costo | 1˙958˙400 € |
| EC contributo | 1˙495˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2013-SME-DCA |
| Funding Scheme | CP |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-12-01 - 2015-11-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ATHENA RESEARCH AND INNOVATION CENTER IN INFORMATION COMMUNICATION & KNOWLEDGE TECHNOLOGIES
Organization address
address: ARTEMIDOS 6 KAI EPIDAVROU contact info |
EL (MAROUSSI) | coordinator | 0.00 |
| 2 |
INESC ID - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, INVESTIGACAO E DESENVOLVIMENTO EM LISBOA
Organization address
address: AVENIDA ALVES REDOL 9 contact info |
PT (S JOAO DE DEUS LISBOA) | participant | 0.00 |
| 3 |
KUNGLIGA TEKNISKA HOEGSKOLAN
Organization address
address: BRINELLVAGEN 8 contact info |
SE (STOCKHOLM) | participant | 0.00 |
| 4 |
NU ECHO INC SOCIETE PAR ACTIONS
Organization address
address: SAINT ALEXANDRE 1435 SUITE 200 contact info |
CA (MONTREAL) | participant | 0.00 |
| 5 |
TELECOMMUNICATION SYSTEMS INSTITUTE
Organization address
address: Technical University of Crete Campus - Kounoupidiana contact info |
EL (CHANIA) | participant | 0.00 |
| 6 |
VOICE WEB ANONYMOS ETAIRIA PAROCHIS PLIROFORION KAI ANAPTYXIS FONITIKON TECHNOLOGION
Organization address
address: Agiou Konstantinou 47 contact info |
EL (Athens) | participant | 0.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
The speech services industry has been growing both for telephony applications and, recently, also for smartphones (e.g., Siri). Despite recent progress in spoken dialogue system (SDS) technologies the development cycle of speech services still requires significant effort and expertise. A significant portion of this effort is geared towards the development of the domain semantics and associated grammars, system prompts and spoken dialogue call-flow. We propose a semi-automated process for spoken dialogue service development and speech service enhancement of deployed services, where incoming speech service data are semi-automatically transcribed and analyzed (human-in-the-loop). A list of mature technologies will be used to 1) identify hot-spots in the dialogue and propose alternative call-flow structures, 2) mine for relevant data to enhance grammars and 3) mine for relevant data to update service prompts. Specifically the technologies used will be: grammar induction, text-mining for language modeling, affective modeling of speech and text data, machine translation, crowd-sourcing, speech recognition/transcription, ontology induction. The technologies will be integrated in a service doctoring platform that will enhance deployed services using the human-in-the-loop paradigm. Our business model is quick deployment of a prototype service, followed by service enhancement using our semi-automated service doctoring platform. The reduced development time and time-to-market will provide significant differentiation for SME in the speech services areas, as well as end-users. The business opportunity is significant especially given the consolidation of the speech services industry and the lack of major competition. Our offering is attractive for SME in the services area with little expertise in speech service development (B2B) and also end-user that are developing their own in house speech service often with limited success (B2C).