Project
Workpackages
| WP Number | WP Title | WP Lead beneficiary | Start month | End month |
|---|---|---|---|---|
| WP1 | Management | 1 - PHO | 1 | 36 |
| WP2 | User requirements and feedback | 4 - EBOS | 1 | 36 |
| WP3 | Data | 3 - TID | 1 | 31 |
| WP4 | Speech-mining technologies | 7 - BUT | 1 | 31 |
| WP5 | Information mining for business | 6 - TME | 5 | 35 |
| WP6 | Integration and system testing | 2 - MYF | 1 | 36 |
| WP7 | Exploitation, dissemination | 5 - COMCZ | 1 | 36 |
| WP8 | Legal, ethical and societal issues | 8 - UNIBO | 1 | 36 |
Deliverables
| Deliverable Number | Deliverable Title | WP Number | Lead beneficiary | Type | Dissemination level | Due Date (in months) |
|---|---|---|---|---|---|---|
| D2.1 | Initial user requirements | WP2 | 5 - COMCZ | Report | CO | 5 |
| D2.2 | smallBison preliminary feedback analysis and recommendations for bigBison | WP2 | 4 - EBOS | Report | CO | 19 |
| D2.3 | Summary and analysis of user feedback | WP2 | 2 - MYF | Report | CO | 36 |
| D3.1 | Data planning and management I | WP3 | 7 - BUT | Report | CO | 3 |
| D3.2 | Data planning and management II | WP3 | 7 - BUT | Report | CO | 15 |
| D3.3 | Data planning and management III | WP3 | 7 - BUT | Report | CO | 27 |
| D3.4 | Public speech data for CC operations | WP3 | 3 - TID | Other | CO | 23 |
| D3.5 | Contact center data collection and processing | WP3 | 6 - TME | Report | CO | 31 |
| D4.1 | Initial speech mining technologies | WP4 | 7 - BUT | Other | Public |
10 |
| D4.2 | Optimizing speech data mining for CC operation | WP4 | 1 - PHO | Report | Public |
22 |
| D4.3 | Final set of speech technologies adapted for Contact Centers | WP4 | 1 - PHO | Other | Public |
31 |
| D5.1 | Mining big speech data for business - early version | WP5 | 6 - TME | Report | CO | 11 |
| D5.2 | Indexing and database access to big speech data | WP5 | 7 - BUT | Other | Public |
22 |
| D5.3 | Mining big speech data for business - final version | WP5 | 6 - TME | Report | CO | 35 |
| D6.1 | Architecture and API’s | WP6 | 2 - MYF | Report | CO | 6 |
| D6.2 | smallBison | WP6 | 2 - MYF | Demonstrator | Public |
12 |
| D6.3 | User Data collection infrastructure | WP6 | 1 - PHO | Other | CO | 17 |
| D6.4 | bigBison | WP6 | 2 - MYF | Demonstrator | Public |
33 |
| D7.1 | Public web-page | WP7 | 7 - BUT | Websites, patents filling, etc. | Public link |
1 |
| D7.2 | Preliminary business plan | WP7 | 5 - COMCZ | Report | CO | 12 |
| D7.3 | Updated business plan | WP7 | 4 - EBOS | Report | CO | 24 |
| D7.4 | Final business plan | WP7 | 4 - EBOS | Report | CO | 36 |
| D8.1 | Ethical approvals for the data | WP8 | 8 - UNIBO | Report | CO | 3 |
| D8.2 | Legal, ethical and societal issues of BISON – General framework | WP8 | 8 - UNIBO | Report | CO | 6 |
| D8.3 | Legal, ethical and societal issues of BISON II | WP8 | 8 - UNIBO | Report | CO | 12 |
| D8.4 | Legal, ethical and societal issues of BISON III | WP8 | 8 - UNIBO | Report | CO | 24 |
| D8.5 | Legal, ethical and societal issues of BISON - The BISON ethical and societal code | WP8 | 8 - UNIBO | Report | Public |
36 |
| D8.6 | Guidelines for BISON design, deployment and use | WP8 | 8 - UNIBO | Report | CO | 36 |
CO - Confidential, only for members of the consortium (including the Commission Services)
Milestones
Milestone 1 – smallBISON – M12
planned early in the project (end of the 1st year) in order to provide a fast assessment of the capabilities and offer the end-users in the consortium (and potentially a limited number of external customers) an early version for real, though limited, deployment. smallBISON will contain full range of speech mining technologies in 9 languages and simple presentation of the results.
Milestone 2 – bigBISON – M33
final output demonstrating full capabilities of the technology. All speech technologies will come in noise-robust and optimized versions, transcription and keyword spotting will be available all languages covering the needs of end-user in the consortium, and methodologies for rapid and cost-effective development of new ones (leveraging on customer data) will be provided. The system will be fully integrated with one large CC hardware and software infrastructure and generation of real business outputs will be demonstrated on real data.