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| Funder | European Commission |
|---|---|
| Recipient Organization | Universite Du Mans |
| Country | France |
| Start Date | Jan 01, 2021 |
| End Date | Dec 31, 2025 |
| Duration | 1,825 days |
| Number of Grantees | 19 |
| Roles | Partner; Participant; Coordinator |
| Data Source | European Commission |
| Grant ID | 101007666 |
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.
Universite de Yaounde I; Consejo Nacional de Investigaciones Cientificas Y Tecnicas (Conicet); The University of Sheffield; Universidad de Zaragoza; Universiti Malaysia Sarawak; Omilia Monoprosopi Etaireia Periorismenis Efthynis Paroxis Pliroforikon, Tilepikoinoniakon Kai Fonitikon Ypiresion Kai Systimaton; Vysoke Uceni Technicke V Brne; Avignon Universite; Johns Hopkins University; Universite Grenoble Alpes; Groupe Allo Media; Mila Institut Quebecois D Intelligence Artificielle; Laboratoire National de Metrologie Et D'Essais; Universidad de Chile; Elyadata; Universiti Sains Malaysia*; Universite Du Mans; Phonexia Sro; Centro de Aplicaciones Tecnologicas de Avanzada
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