Audio Fingerprinting for TV channel detection in real time

Jpinquier/ février 20, 2021/ Applications, Non classé

Context Television still has a strong impact on society and consumers.Social TV or social television is a blend of social media and television activity.A growing number are watching television programs on multiple devices, across computers, mobile phones, and tablets.Nowadays, applications can use this second screen to improve TV’s experience.For example, customers can participate in a chat, ask questions during a

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Clinical relevance of speech intelligibility measures

Jpinquier/ septembre 22, 2020/ Applications, Research

Context Intelligibility can be defined as an analytical, acoustic-phonetic decoding notion – i.e. addressing “low-level” linguistic units –, referring to the quality of pronunciation at the segmental (phoneme and syllable) levels. Speech intelligibility is usually assessed using perceptual tasks. While these are informative, they entail several drawbacks, as they rely on subjective ratings, biased, among other factors, by the familiarity

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Functional impact of speech disorders

Mbalaguer/ septembre 21, 2020/ Applications

1.    Context The reduction of mortality and the extension of life expectancy following cancer make it a priority to manage the after-effects of the pathology and its treatments. Oral or oropharyngeal cancer affect the structures involved in speech production. Thus, the quality of life of these patients may be affected by changes in their communication skills. In clinical practice, the

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Dedicated Features for Music Genre Classification

Csenac/ janvier 21, 2020/ Analysis

Context  In the context of Music Genre Classification, we propose to use, as entries of a CNN, a set of eight music features chosen along three main music dimensions: dynamics, timbre and tonality. With CNNs (Figure 1) trained in such a way that filter dimensions are interpretable in time and frequency, results show that only eight music features are as

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Reading mistakes detection in children’s speech

Lucile Gelin/ janvier 15, 2020/ Applications

Context An alarming observation has been made in several countries: 1 student out of 5 in France and 1 out of 4 in the USA enter middle school with difficulties for reading, compromising their whole schooling. Two major causes of this problem are the heterogeneity of student’s abilities and the growing number of students per classroom, which keeps the teachers

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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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Characterizing Pathological Voices

Jfarinas/ janvier 7, 2016/ Analysis

Context The SAMoVA research team is contributing to the analysis and characterization of pathological voices through three main projects: The Carcinologic Speech Severity Index (C2SI): a Speech Disorder Severity Index to measure the impact of oral and pharyngeal cavity on speech production, in partnership with CHU Toulouse, LPL Aix-en-Provence, PETRA MSH Toulouse, URI Octogone-Lordat Toulouse, Université d’Avignon et des Pays de

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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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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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