Jpetiot/ janvier 8, 2019/ Previous

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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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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Jpetiot/ janvier 8, 2017/ Previous

Video analysis for Investigation of Criminal and TerrORIst Activities Main issues and objectives Video material collected and analyzsed by Law Enforcement Agencies (LEA) have become a critical component in legal investigations following major criminal acts and terrorist attacks. The recent events in London, Nice, Brussels, Paris, Barcelona and Cambrils again prove the importance of these video recordings. At the same

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Water sound detection

Jpetiot/ janvier 7, 2017/ Applications

The analysis of instrumental activities of daily life is an important tool in the early diagnosis of dementia such as Alzheimer. The IMMED project investigates tele-monitoring technologies to support doctors in the diagnostic and follow-up of the illnesses. The project aims to automatically produce indexes to facilitate the doctor’s navigation throughout the individual video recordings. Water sound recognition is very

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Audiovisual signature

Jpetiot/ janvier 7, 2016/ Audiovisual Content Structuring

Context The neOCampus operation, started in June 2013, brings together 11 laboratories of the University Paul Sabatier, Toulouse: CESBIO, CIRIMAT, ECOLAB, IRIT, LAAS, LAPLACE, LCC, LERASS, LMDC, PHASE and LA, aiming to create a connected, innovative, sustainable and self-adaptative campus to improve everyday comfort, decrease the ecological footprint and reduce operating costs. Since the operation monitors unsupervised users (students, teachers, staff),

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Jpetiot/ janvier 8, 2015/ Previous

Intelligent Electronic Device for Measuring Speech Comprehension Main issues and objectives PHONICS aims to extend the application scope of a tool developed in an AGILE-IT project, which involved the same partners. This first project made it possible to develop an automatic presetting solution for hearing aids in order to optimize and guarantee their use by patients suffering from presbycusis. This system will

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Jpetiot/ janvier 8, 2014/ Previous

Carcinologic Speech Severity Index Project Main issues and objectives C2SI: Carcinologic Speech Severity Index. A Speech disorders Severity Index to measure the impact of oral and pharyngeal cavity on speech production. Issue The decreasing mortality of Head and Neck cancers (HNC) highlights the importance to reduce the impact on quality of life (QoL). Nevertheless, the usual tools for assessing QoL

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Multimodal Human Robot Interaction

Jpetiot/ janvier 7, 2014/ Applications

Context  The development of socially interactive robots is a motivating challenge, so that a considerable number of mature robotic systems have been developed during the last decade. Moving such robots out of laboratories, i.e. in private homes, to become robot companions is a deeper challenge because communication between a human and a robotic home assitant must be as natural as

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Segmentation in singer turns

Jpetiot/ janvier 7, 2014/ Analysis

Context  As part of the DIADEMS project on indexing ethno-musicological audio recordings, segmentation in singer turns automatically appeared to be essential. In our study, we present the problem of segmentation in singer turns of musical recordings and our experiments in this direction by using the MFCC features and exploring a method based on the Bayesian Information Criterion (BIC), which are used in

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