PHLES-NID

Jfarinas/ novembre 16, 2022/ Current, Projects

Pharyngo-Laryngeal Effectiveness – Non Invasive Device Context and objectives Oropharyngeal dysphagia (OD) is a major public health problem. This swallowing disorder affects the elderly (50%) and patients with neurological disorders and head and neck cancer (80%), with the main complications being respiratory infections and undernutrition. These complications lead to long hospitalizations, the use of antibiotics and industrial modified food, and increased mortality rates in these

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LabCom ALAIA

Iferrane/ juin 30, 2021/ Current

Foreign Language Learning assisted by Artificial Intelligence Apprentissage des Langues Assisté par Intelligence Artificielle ALAIA is a joint laboratory between IRIT and Archean Technologies. Funded by the ANR, the French Research Agency, for 3 years, this LabCom started in March 2019. ALAIA is based on the synergy between the SAMoVA team and Archean Labs, R&D department of Archean Technologies. Main issues and objectives The core of

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DAPADAF-E

Mbalaguer/ décembre 18, 2020/ Current, Projects

Validity of a task of acoustic-phonetic decoding on anatomic deficits in paramedical assessment of speech disorders for patients treated for oral or oropharyngeal cancer Context and objectives Cancers of the upper aerodigestive tract is the fifth most common cancer in terms of incidence in France (HAS 2009). Due to their location, they impact the patients’ speech abilities (Mlynarek, 2008). In

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AUDIOCAP

Vdefino/ octobre 8, 2020/ Current

Main issues and objectives Context The main complaint of adults with hearing loss is difficulty understanding speech in noise. Restoring intelligibility in noise for the elderly is now a public health issue, due to the increase in social isolation, depression and dementia among patients without hearing aids. Hearing aids currently play a beneficial role in preventing cognitive over-decline, but one

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LUDAU

Thomas Pellegrini/ septembre 23, 2020/ Current

Lightly-supervised and Unsupervised Discovery of Audio Units using Deep Learning (ANR-18-CE23-0005-01) Main issues and objectives      These last years, deep learning (DL) has become the state-of-the-art machine learning (ML) paradigm when applied in supervised settings to data with a latent structure, in image, video, audio and speech processing. In order to deploy deep learning solutions in problems for which

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Evolex

Jpetiot/ janvier 8, 2019/ Current

Main issues and objectives Context Cognitive complaints are frequently reported by patients in remission or treated over the long term with targeted anti-cancer therapies, grouped under the term “chemobrain”. They usually appear discreet but are nevertheless disabling in everyday life or during professional recovery, constituting what is called an “invisible handicap” but nevertheless very real for patients. Their identification requires

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RUGBI

Jpetiot/ janvier 8, 2019/ Current

Looking for Relevant linguistic Units to improve the intelliGiBIlity measurement of speech production disorders Main issues and objectives In the context of the speech production disorders observed in ENT cancers, neurological, sensory or structural pathologies, the objective of the RUGBI project is to make improvements to the measurement of the intelligibility deficit. Indeed, speech production disorders can lead to a serious loss

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INGPRO

Iferrane/ janvier 8, 2019/ Current

Impact of gestures on the pronunciation of foreign language learners Main issues and objectives Context The issue of associating gesture and speech in a second language learning context (L2) emerged from a workshop organized by the project partners involved at different levels in L2 learning. Starting from a first reflection on the technical possibilities of combining gesture production and pronunciation

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LinTo

Iferrane/ janvier 8, 2018/ Current

Open source smart assistant dedicated to companies and profesional usages  Main issues and objectives Context As part of its strategy to develop innovative open source tools in collaborative context, LINAGORA, leader of the LinTO project, aims at designing a smart conversational assistant dedicated to companies. This assistant, named after the project, provides speech-driven services to company staff members. On one

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Action on Hearing Loss

Jfarinas/ janvier 8, 2017/ Previous

Using automatic speech recognition to predict speech-in-noise perception for simulated age-related hearing loss Background The most common treatment for hearing loss is the fitting of hearing aids (HAs), based on the patient’s audiometric pure-tone thresholds, to restore the audibility of those sounds the patient is no longer able to hear. However, patient satisfaction and compliance with HA prescription heavily depend

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