Explore the words cloud of the ENRICH project. It provides you a very rough idea of what is the project "ENRICH" about.
The following table provides information about the project.
Coordinator |
UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | http://www.enrich-etn.eu/ |
Total cost | 3˙593˙601 € |
EC max contribution | 3˙593˙601 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2015 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2016 |
Duration (year-month-day) | from 2016-10-01 to 2020-09-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA | ES (LEIOA) | coordinator | 495˙745.00 |
2 | THE UNIVERSITY OF EDINBURGH | UK (EDINBURGH) | participant | 546˙575.00 |
3 | UNIVERSITY COLLEGE LONDON | UK (LONDON) | participant | 546˙575.00 |
4 | ACADEMISCH ZIEKENHUIS GRONINGEN | NL (GRONINGEN) | participant | 510˙748.00 |
5 | STICHTING KATHOLIEKE UNIVERSITEIT | NL (NIJMEGEN) | participant | 510˙748.00 |
6 | PANEPISTIMIO KRITIS | EL (RETHIMNO) | participant | 484˙773.00 |
7 | FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. | DE (MUNCHEN) | participant | 249˙216.00 |
8 | HORZENTRUM OLDENBURG GMBH | DE (OLDENBURG) | participant | 249˙216.00 |
9 | TOBII TECHNOLOGY | SE (DANDERYD) | participant | 0.00 |
'Speech is a hugely efficient means of communication: a reduced capacity in listening or speaking creates a significant barrier to social inclusion at all points through the lifespan, in education, work and at home. Hearing aids and speech synthesis can help address this reduced capacity but their use imposes greater listener effort. The fundamental objective of the ETN 'Enriched communication across the lifespan' (ENRICH) is to modify or augment speech with additional information to make it easier to process. Enrichment aims to reduce the listening burden by minimising cognitive load, while maintaining or improving intelligibility. ENRICH will investigate the relationship between cognitive effort and different forms of natural and synthetic speech. Non-intrusive metrics for listening effort will be developed and used to design modification techniques which result in low-burden speech. The value of various enrichment approaches will be evaluated with individuals and cohorts with typically sub-optimal communication ability, e.g., children, hearing-impaired adults, non-native listeners and individuals engaged in simultaneous tasks. The ENRICH consortium consists of 8 beneficiaries and 7 partners from academia, industry and clinical practice in 9 countries, who collectively provide diverse infrastructure for investigating spoken communication and for applying innovations to end-user populations. ENRICH will address the unmet need for multi-skilled practitioners and engineers in this rapidly growing sector currently facing a serious workforce shortage. Through a comprehensive training programme driven by the needs of industry and clinical practice, it will equip fellows with not just the necessary cross-disciplinary knowledge and research techniques, but also with experience of entrepreneurship and technology transfer so they can translate research findings into meaningful products and services that will facilitate spoken language communication in the coming decades.
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Workshop on speech modifications | Other | 2020-02-24 15:37:30 |
Mid-term evaluation | Documents, reports | 2020-02-24 15:37:30 |
Report on recruitment | Documents, reports | 2020-02-24 15:37:30 |
Take a look to the deliverables list in detail: detailed list of ENRICH deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Avashna Govender, Simon King Using Pupillometry to Measure the Cognitive Load of Synthetic Speech published pages: 2838-2842, ISSN: , DOI: 10.21437/Interspeech.2018-1174 |
Interspeech 2018 | 2020-02-24 |
2018 |
Muhammed Shifas PV, Vassilis Tsiaras, Yannis Stylianou Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model published pages: 1868-1872, ISSN: , DOI: 10.21437/Interspeech.2018-2119 |
Interspeech 2018 | 2020-02-24 |
2018 |
Avashna Govender, Simon King Measuring the Cognitive Load of Synthetic Speech Using a Dual Task Paradigm published pages: 2843-2847, ISSN: , DOI: 10.21437/Interspeech.2018-1199 |
Interspeech 2018 | 2020-02-24 |
2017 |
Olympia Simantiraki, Paulos Charonyktakis, Anastasia Pampouchidou, Manolis Tsiknakis, Martin Cooke Glottal Source Features for Automatic Speech-Based Depression Assessment published pages: 2700-2704, ISSN: , DOI: 10.21437/Interspeech.2017-1251 |
Interspeech 2017 | 2020-02-24 |
2018 |
Maartje M.E. Hendrikse, Gerard Llorach, Giso Grimm, Volker Hohmann Influence of visual cues on head and eye movements during listening tasks in multi-talker audiovisual environments with animated characters published pages: 70-84, ISSN: 0167-6393, DOI: 10.1016/j.specom.2018.05.008 |
Speech Communication 101 | 2020-02-24 |
2018 |
Olympia Simantiraki, Martin Cooke, Simon King Impact of Different Speech Types on Listening Effort published pages: 2267-2271, ISSN: , DOI: 10.21437/Interspeech.2018-1358 |
Interspeech 2018 | 2020-02-24 |
2018 |
Sneha Raman, Inma Hernaez, Eva Navas, Luis Serrano Listening to Laryngectomees: A study of Intelligibility and Self-reported Listening Effort of Spanish Oesophageal Speech published pages: 107-111, ISSN: , DOI: 10.21437/iberspeech.2018-23 |
IberSPEECH 2018 | 2020-02-24 |
2018 |
Luis Serrano, David Tavarez, Xabier Sarasola, Sneha Raman, Ibon Saratxaga, Eva Navas, Inma Hernaez LSTM based voice conversion for laryngectomees published pages: 122-126, ISSN: , DOI: 10.21437/iberspeech.2018-26 |
IberSPEECH 2018 | 2020-02-24 |
2018 |
Kaplan, E., Wagner, A., BaÅŸkent, D. Are musicians at an advantage when processing speech on speech? published pages: , ISSN: , DOI: |
In Parncutt, R., & Sattmann, S. (Eds.) (2018). Proceedings of ICMPC15/ESCOM10. | 2020-02-24 |
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The information about "ENRICH" are provided by the European Opendata Portal: CORDIS opendata.