Objectif
Contact centers (CC) are an important business for Europe: 35,000 contact centers generate 3.2 Million jobs (~1% of Europe’s active population). A typical CC produces a wealth of multilingual spoken data that is nowadays mined by humans (CC agents and supervisors) or by rudimentary technical means.
BISON consortium plans to bring significant innovations in three areas: (1) basic speech data mining technologies (systems quickly adaptable to new languages, domains and CC campaigns), (2) business outcome mining from speech (translated into improvement of CCs’ Key Performance Indicators) and (3) CC support systems integrating both speech and business outcome mining in user-friendly way.
The project will produce two prototypes: smallBison (end of the 1st year) will be a functioning system for real, though limited, deployment and user feedback collection. bigBison (end of the project) will include full range of capabilities and be fully integrated with CC hardware and software infrastructure. Generation of business outputs will be demonstrated on real data.
Business indicators and values for the market were instrumental for the definition of the project and will be crucial for project execution.
BISON consortium is composed of eight players with complementary skills. Two end users running large CC operations (EBOS, Atento) are generating user requirements and are ready to deploy the prototypes immediately in real scenarios. Phonexia (the coordinator), Brno University of Technology and Telefónica I+D are experts in speech data mining - from R&D, data processing to developing products placed on the market. Telefónica Móviles is an expert in business outcome mining and MyForce is a skilled Contact Center hardware and software integrator. CC data involve a number of legal issues, therefore, the University of Bologna (with significant experience in regulatory and legal aspects) complements the consortium.
Champ scientifique
- sciences naturellesinformatique et science de l'informationscience des donnéestraitement des données
- lettreslangues et littératurelinguistiquephonétique
- sciences naturellesinformatique et science de l'informationscience des donnéesexploration de données
- sciences naturellesinformatique et science de l'informationlogiciellogiciel système
- sciences naturellesinformatique et science de l'informationintelligence artificielleapprentissage automatiqueapprentissage profond
Appel à propositions
H2020-ICT-2014-1
Voir d’autres projets de cet appel
Régime de financement
IA - Innovation action
Coordinateur
612 00 Brno
Tchéquie
Participants (7)
3052 Blanden
28050 Madrid
4620 Differdange
19000 Praha
28050 Madrid
601 90 Brno Stred
40126 Bologna