March 2024 – Laboratoire Informatique d’Avignon

Cornet Seminar – Judith Agueda Roldan Ahumada – 15/03/2024

12 March 2024

In the context of team Cornet’s seminars, Judith Agueda Roldan Ahumada (Universidad Veracruzana) will present her research work on Modeling and optimization of a vehicle routing problem in a coffee company, on March 15, 2023, at 11:35 in the meeting room. Abstract: In the central region of Veracruz, Mexico, given the weather and soil conditions, there are different companies dedicated to the coffee bean production. To carry out the different activities such as planting, harvesting,cleaning, among others, it is necessary to transport the harvesters to different agricultural lands; usually, this logistics problem is solved empirically without considering the cost per transfer. The problem, that will be shown, arose from the needing to solve a transport logistic problem for a coffee bean company in the central region of Veracruz.We consider a single vehicle with maximum capacity of N items, the vehicle starts the path with out items from a parking and it can collect the items in places that are along the way, that goes from parking to the place where the items are delivered (agricultural lands). The places are ordered consecutively, such that, once the vehicle goes through one, it can not return to the previous sites and it is Plus d'infos

SLG Seminar – Antoine Caubrière – 03/15/2024

11 March 2024

Next SLG meeting will take place on 03/15/2024, from 10 AM to 11 AM. We will host Antoine Caubrière from the company Orange, who will present his recent work Title: Representation of Multilingual Speech through Self-Supervised Learning in an Exclusively Sub-Saharan Context. Abstract: The Orange group operates in over a dozen sub-Saharan African countries with the ambition of offering services tailored to the needs of clients in this region. To provide localized and accessible services to digitally underserved and low-literate individuals, Orange is investing in the development of voice-based conversational agents to inform and assist its clients and employees.The implementation of such a service requires, first and foremost, a technological component for speech recognition and understanding.The strong linguistic diversity of the African continent, coupled with the challenges of limited annotated data, poses one of the challenges in implementing speech processing technology for these languages. One potential solution could be the utilization of self-supervised learning techniques. Leveraging this type of learning enables the training of a speech representation extractor capable of capturing rich features. This approach utilizes a large quantity of unlabeled data for pre-training a model before fine-tuning it for specific tasks. While numerous self-supervised models are shared within the Plus d'infos