ESPERANTO · Exchanges for SPEech ReseArch aNd TechnOlogies
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2021-01-01 → 2025-12-31
- EU contribution
- €1,191,400
- Participants
- 19
- Scheme
- MSCA-RISE
Lines connect the coordinator with its partners.
Results in brief
Exchanges for SPEech ReseArch aNd TechnOlogies
ESPERANTO will contribute to the development of the next generation of Artificial Intelligence; AI interacting with their users for better learning but also explainable systems: systems whose decisions are understandable by humans. In order to make these technologies accessible to the largest number of people, ESPERANTO will address applications with limited resources in the field of rare languages, robotics or education. The aim of the ESPERANTO project is to push state-of-the-art speech technologies that need to be maintained by machine learning experts for well-defined cases using large amounts of data to a stage where they could be used and maintained by domain experts and to encourage their spreading to wider languages and contexts. ESPERANTO also aims at initiating an international standardization of protocols and evaluation process that will enable the development and industrialization of new technologies while addressing specific societal issues. These issues encompass the use of active and interactive learning for system maintenance and adaptation, the characterization of features that are relevant for domain expert understanding of the internal mechanisms of machine or deep learning systems, the development of technologies for under-resourced scenarios and the standardization of the evaluation process for those complex tasks. Among major events, the ESPERANTO consortium will co-organize JSALT workshops in collaboration with Johns Hopkins University. JSALT workshops consist of 2 weeks of summer school followed by 6 weeks of teamwork on a research topic chosen by the organizers and funded by major American companies. For the second time in 25 years, this key event in the field of Artificial Intelligence will take place outside the American continent and will bring 5 teams of international researchers in Europe.
Data: CORDIS, © European Union
Project objective
The ESPERANTO project aims at pushing speech processing technologies to their next step in order to enable the diffusion of these technologies in European SMEs and to maximize and securize their use in the civil society for forensic, health or education. The ESPERANTO consortium forsees that the next generation of artificial intelligence algorithms for speech processing should :1.be more accessible : via a larger number of spoken languages, and for applications where resources are strongly limited (health, education, robotics…);2.integrate a human in the loop to guaranty a higher usability and ease of deployment and maintenance;3.be explainable in order to enable sensitive applications related to forensic or health and contribute to personal data preservation by detecting and characterizing existing biases due to the data-driven nature of current speech technologies.ESPERANTO intends to lead the scientific community by releasing evaluation metrics, protocols and standards that will boost the development and evaluation of this new generation of algorithms. To achieve this ambitious goal, the ESPERANTO project gathers a large and trans-sectorial community of experts in speech related applications such as speech transcription, separation, enhancement, translation, understanding and speaker recognition and diarization to transfer knowledge, organize, produce and standardize resources with the aim of catalyzing and cross-pollenizing this area.The main goals of the ESPERANTO project are:- support the development of open-source tools that will encourage fast developement, exchanges and reproducibility;- produce tutorials and competitive baselines on various topics of speech processing in order to boost the fostering of new speech-AI students, researchers and engineers;- facilitate the collection and sharing of linguistic and speech resources through standards;- organize workshops to progress on the speech technologies and favor tranfer of knowledge.
Original text from CORDIS.
Participants
- UNIVERSITE DU MANS · Le MansCoordinatorFrance
- AVIGNON UNIVERSITE · AVIGNON CEDEX 01France
- CENTRO DE APLICACIONES TECNOLOGICAS DE AVANZADA · La HabanaCuba
- CONSEJO NACIONAL DE INVESTIGACIONES CIENTIFICAS Y TECNICAS (CONICET) · Buenos AiresArgentina
- ELYADATA · ArianaTunisia
- GROUPE ALLO MEDIA · ParisFrance
- JOHNS HOPKINS UNIVERSITY · BaltimoreUnited States
- LABORATOIRE NATIONAL DE METROLOGIE ET D'ESSAIS · PARISFrance
- MILA INSTITUT QUEBECOIS D INTELLIGENCE ARTIFICIELLE · MontrealCanada
- OMILIA MONOPROSOPI ETAIREIA PERIORISMENIS EFTHYNIS PAROXIS PLIROFORIKON, TILEPIKOINONIAKON KAI FONITIKON YPIRESION KAI SYSTIMATON · MAROUSIGreece
- PHONEXIA AS · BrnoCzechia
- THE UNIVERSITY OF SHEFFIELD · SHEFFIELDUnited Kingdom
- UNIVERSIDAD DE CHILE · SantiagoChile
- UNIVERSIDAD DE ZARAGOZA · ZaragozaSpain
- UNIVERSITE DE YAOUNDE I · YAOUNDECameroon
- UNIVERSITE GRENOBLE ALPES · GrenobleFrance
- UNIVERSITI SAINS MALAYSIA* · PenangMalaysia
- Universiti Malaysia Sarawak · Kota SamarahanMalaysia
- VYSOKE UCENI TECHNICKE V BRNE · BRNO STREDCzechia
Links
- View on CORDIS
- DOI: 10.3030/101007666
- http://esperanto.univ-lemans.fr/en/index.html
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5052bfa58&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50da41030&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50da43685&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e510d85681&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e511898763&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e51d6fe477&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e524f91ad2&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e526d49eee&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5271bb665&appId=PPGMS
Data: CORDIS, © European Union
