Explore the words cloud of the BISON project. It provides you a very rough idea of what is the project "BISON" about.
The following table provides information about the project.
Coordinator |
PHONEXIA SRO
Organization address contact info |
Coordinator Country | Czech Republic [CZ] |
Project website | http://bison-project.eu/ |
Total cost | 4˙097˙952 € |
EC max contribution | 3˙090˙824 € (75%) |
Programme |
1. H2020-EU.2.1.1.4. (Content technologies and information management: ICT for digital content, cultural and creative industries) |
Code Call | H2020-ICT-2014-1 |
Funding Scheme | IA |
Starting year | 2015 |
Duration (year-month-day) | from 2015-01-01 to 2017-12-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | PHONEXIA SRO | CZ (BRNO) | coordinator | 385˙000.00 |
2 | MyForce | BE (Blanden) | participant | 711˙812.00 |
3 | VYSOKE UCENI TECHNICKE V BRNE | CZ (BRNO STRED) | participant | 457˙500.00 |
4 | EBOS LUXEMBOURG SA | LU (DIFFERDANGE) | participant | 441˙497.00 |
5 | TELEFONICA INVESTIGACION Y DESARROLLO SA | ES (MADRID) | participant | 322˙245.00 |
6 | ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA | IT (BOLOGNA) | participant | 296˙875.00 |
7 | TELEFONICA MOVILES ESPANA SA | ES (MADRID) | participant | 240˙030.00 |
8 | COMCZECH AS | CZ (PRAHA) | participant | 235˙865.00 |
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 ID 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.
Public web-page | Websites, patent fillings, videos etc. | 2019-03-11 10:43:56 |
smallBison | Demonstrators, pilots, prototypes | 2019-03-11 10:44:01 |
bigBison | Demonstrators, pilots, prototypes | 2019-03-11 10:44:06 |
Final set of speech technologies adapted for Contact Centers | Other | 2019-03-11 10:43:42 |
Initial speech mining technologies | Other | 2019-03-11 10:43:47 |
Legal, ethical and societal issues of BISON - The BISON ethical and societal code | Documents, reports | 2019-01-08 15:40:07 |
Optimizing speech data mining for CC operation | Documents, reports | 2019-01-08 15:40:10 |
Indexing and database access to big speech data | Other | 2019-01-08 15:40:08 |
Take a look to the deliverables list in detail: detailed list of BISON deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Martin Karafiát, Murali Karthick Baskar, Pavel Matějka, Karel Veselý, František Grézl, Lukáš Burget, Jan Černocký 2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation published pages: 719-723, ISSN: , DOI: 10.21437/Interspeech.2017-1775 |
Interspeech 2017 | 2019-05-30 |
2017 |
Karel Beneš, Murali Karthick Baskar, Lukáš Burget Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks published pages: 284-288, ISSN: , DOI: 10.21437/Interspeech.2017-1442 |
Interspeech 2017 | 2019-05-30 |
2017 |
Anna Silnova, Lukáš Burget, Jan Černocký Alternative Approaches to Neural Network Based Speaker Verification published pages: 1572-1575, ISSN: , DOI: 10.21437/Interspeech.2017-1062 |
Interspeech 2017 | 2019-05-30 |
2016 |
Ekaterina Egorova, Jordi Luque Serrano Semi-Supervised Training of Language Model on Spanish Conversational Telephone Speech Data published pages: 114-120, ISSN: 1877-0509, DOI: 10.1016/j.procs.2016.04.038 |
Procedia Computer Science 81 | 2019-05-30 |
2016 |
František Grézl, Martin Karafiát Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting published pages: 144-151, ISSN: 1877-0509, DOI: 10.1016/j.procs.2016.04.042 |
Procedia Computer Science 81 | 2019-05-30 |
2016 |
Jan Pešán, Lukáš Burget, Jan Černocký Sequence Summarizing Neural Networks for Spoken Language Recognition published pages: 3285-3288, ISSN: , DOI: 10.21437/Interspeech.2016-764 |
Interspeech 2016 | 2019-05-30 |
2016 |
Lucas Ondel, Lukaš Burget, Jan Černocký Variational Inference for Acoustic Unit Discovery published pages: 80-86, ISSN: 1877-0509, DOI: 10.1016/j.procs.2016.04.033 |
Procedia Computer Science 81 | 2019-05-30 |
2016 |
Abraham Woubie, Jordi Luque, Javier Hernando Improving i-Vector and PLDA Based Speaker Clustering with Long-Term Features published pages: 372-376, ISSN: , DOI: 10.21437/Interspeech.2016-339 |
Interspeech 2016 | 2019-05-30 |
2017 |
Hossein Zeinali, Hossein Sameti, Lukáš Burget, Jan “Honza†Černocký Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models published pages: 53-71, ISSN: 0885-2308, DOI: 10.1016/j.csl.2017.04.005 |
Computer Speech & Language 46 | 2019-05-30 |
2017 |
Hossein Zeinali, Hossein Sameti, Lukas Burget HMM-Based Phrase-Independent i-Vector Extractor for Text-Dependent Speaker Verification published pages: 1421-1435, ISSN: 2329-9290, DOI: 10.1109/TASLP.2017.2694708 |
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25/7 | 2019-05-30 |
2016 |
BRUMMER Niko, SWART Albert du Preez, PRIETO Jesús J., GARCIA Perera Leibny Paola, MATÄšJKA Pavel, PLCHOT OldÅ™ich, DIEZ Sánchez Mireia, SILNOVA Anna, JIANG Xiaowei, NOVOTNà OndÅ™ej, ROHDIN Johan A., GLEMBEK OndÅ™ej, GRÉZL FrantiÅ¡ek, BURGET Lukáš, ONDEL Lucas, PEÅ ÃN Jan, ÄŒERNOCKà Jan, KENNY Patrick, ALAM Jahangir, BHATTACHARYA Gautam and ZEINALI Hossein et al. ABC NIST SRE 2016 SYSTEM DESCRIPTION published pages: , ISSN: , DOI: |
Proceedings of the NIST SRE Workshop | 2019-05-30 |
2017 |
Pavel Matějka, Ondřej Novotný, Oldřich Plchot, Lukáš Burget, Mireia Diez Sánchez, Jan Černocký Analysis of Score Normalization in Multilingual Speaker Recognition published pages: 1567-1571, ISSN: , DOI: 10.21437/Interspeech.2017-803 |
Interspeech 2017 | 2019-05-30 |
2016 |
František Grézl, Ekaterina Egorova, Martin Karafiát Study of Large Data Resources for Multilingual Training and System Porting published pages: 15-22, ISSN: 1877-0509, DOI: 10.1016/j.procs.2016.04.024 |
Procedia Computer Science 81 | 2019-05-30 |
2017 |
Karel Veselý, Lukáš Burget, Jan Černocký Semi-Supervised DNN Training with Word Selection for ASR published pages: 3687-3691, ISSN: , DOI: 10.21437/Interspeech.2017-1385 |
Interspeech 2017 | 2019-05-30 |
2017 |
OldÅ™ich Plchot, Pavel MatÄ›jka, Anna Silnova, OndÅ™ej Novotný, Mireia Diez Sánchez, Johan Rohdin, OndÅ™ej Glembek, Niko Brümmer, Albert Swart, Jesús JorrÃn-Prieto, Paola GarcÃa, Luis Buera, Patrick Kenny, Jahangir Alam, Gautam Bhattacharya Analysis and Description of ABC Submission to NIST SRE 2016 published pages: 1348-1352, ISSN: , DOI: 10.21437/Interspeech.2017-1498 |
Interspeech 2017 | 2019-05-30 |
2016 |
Abraham Woubie Zewoudie, Jordi Luque, Javier Hernando Short- and Long-Term Speech Features for Hybrid HMM-i-Vector based Speaker Diarization System published pages: 400-406, ISSN: , DOI: 10.21437/Odyssey.2016-58 |
Odyssey 2016 | 2019-05-30 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BISON" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "BISON" are provided by the European Opendata Portal: CORDIS opendata.