Výsledky vyhledávání - "Julien Pinquier"

Akademický článek

SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers

Autor: Sebastião Quintas, Robin Vaysse, Mathieu Balaguer, Vincent Roger, Julie Mauclair, Jérôme Farinas, Virginie Woisard, Julien Pinquier

Publikováno v: Frontiers in Artificial Intelligence, Vol 7 (2024)

Perceptual measures, such as intelligibility and speech disorder severity, are widely used in the clinical assessment of speech disorders in patients treated for oral or oropharyngeal cancer. Despite their widespread usage, these measures are known t

Externí odkaz: https://doaj.org/article/3f6c34c6544649c4b7f65691780f53d8

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Akademický článek

Deep neural networks for automatic speech processing: a survey from large corpora to limited data

Autor: Vincent Roger, Jérôme Farinas, Julien Pinquier

Publikováno v: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-15 (2022)

Abstract Most state-of-the-art speech systems use deep neural networks (DNNs). These systems require a large amount of data to be learned. Hence, training state-of-the-art frameworks on under-resourced speech challenges are difficult tasks. As an exa

Externí odkaz: https://doaj.org/article/745d701fb93c4f14b62832dd66a71aac

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Akademický článek

Improving vehicle re‐identification using CNN latent spaces: Metrics comparison and track‐to‐track extension

Autor: Geoffrey Roman‐Jimenez, Patrice Guyot, Thierry Malon, Sylvie Chambon, Vincent Charvillat, Alain Crouzil, André Péninou, Julien Pinquier, Florence Sedes, Christine Sénac

Publikováno v: IET Computer Vision, Vol 15, Iss 2, Pp 85-98 (2021)

Abstract Herein, the problem of vehicle re‐identification using distance comparison of images in CNN latent spaces is addressed. First, the impact of the distance metrics, comparing performances obtained with different metrics is studied: the minim

Externí odkaz: https://doaj.org/article/3d08c208c09a4e37bae1ad67f708456f

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Akademický článek

Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants

Autor: Lionel Fontan, Libio Gonçalves Braz, Julien Pinquier, Michael A. Stone, Christian Füllgrabe

Publikováno v: Frontiers in Neuroscience, Vol 16 (2022)

Automatic speech recognition (ASR), when combined with hearing-aid (HA) and hearing-loss (HL) simulations, can predict aided speech-identification performances of persons with age-related hearing loss. ASR can thus be used to evaluate different HA co

Externí odkaz: https://doaj.org/article/d78fa6457e5f4ee9acf5875afd66ed23

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Akademický článek

OPRA-RS: A Hearing-Aid Fitting Method Based on Automatic Speech Recognition and Random Search

Autor: Libio Gonçalves Braz, Lionel Fontan, Julien Pinquier, Michael A. Stone, Christian Füllgrabe

Publikováno v: Frontiers in Neuroscience, Vol 16 (2022)

Hearing-aid (HA) prescription rules (such as NAL-NL2, DSL-v5, and CAM2) are used by HA audiologists to define initial HA settings (e.g., insertion gains, IGs) for patients. This initial fitting is later individually adjusted for each patient to impro

Externí odkaz: https://doaj.org/article/acbe6b60200142d882680d7b5d749f90

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Development of a holistic communication score (HoCoS) in patients treated for oral or oropharyngeal cancer: Preliminary validation

Autor: Mathieu Balaguer, Julien Pinquier, Jérôme Farinas, Virginie Woisard

Publikováno v: International Journal of Language & Communication Disorders. 58:39-51

In head and neck cancer, many tools exist to measure speech impairment, but few evaluate the impact on communication abilities. Some self-administered questionnaires are available to assess general activity limitations including communication. Others

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d49f0683ab5b524ab54804b230301466
https://doi.org/10.1111/1460-6984.12766

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Towards Reducing Patient Effort for the Automatic Prediction of Speech Intelligibility in Head and Neck Cancers

Autor: Sebastião Quintas, Alberto Abad, Julie Mauclair, Virginie Woisard, Julien Pinquier

Publikováno v: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing
48th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023)
48th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), IEEE Signal Processing Society (SPS), Jun 2023, Rhodes, Greece. pp.1-5, ⟨10.1109/icassp49357.2023.10094921⟩

International audience; The automatic prediction of speech intelligibility can be seen as a growing and relevant alternative to the perceptual evaluations used clinically, which are known to be biased, variant and subjective. We propose an automatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06b367a5e3e7df25d242736504fe9fd4
https://hal.science/hal-04093771/document

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