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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
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In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
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In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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Cochlear Implant Results in Older Adults with Post-Lingual Deafness: The Role of “Top-Down” Neurocognitive Mechanisms
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1343 (2022)
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Many Changes in Speech through Aging Are Actually a Consequence of Cognitive Changes
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2137 (2022)
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Speech- and Language-Based Classification of Alzheimer’s Disease: A Systematic Review
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In: Bioengineering; Volume 9; Issue 1; Pages: 27 (2022)
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Abstract:
Background: Alzheimer’s disease (AD) has paramount importance due to its rising prevalence, the impact on the patient and society, and the related healthcare costs. However, current diagnostic techniques are not designed for frequent mass screening, delaying therapeutic intervention and worsening prognoses. To be able to detect AD at an early stage, ideally at a pre-clinical stage, speech analysis emerges as a simple low-cost non-invasive procedure. Objectives: In this work it is our objective to do a systematic review about speech-based detection and classification of Alzheimer’s Disease with the purpose of identifying the most effective algorithms and best practices. Methods: A systematic literature search was performed from Jan 2015 up to May 2020 using ScienceDirect, PubMed and DBLP. Articles were screened by title, abstract and full text as needed. A manual complementary search among the references of the included papers was also performed. Inclusion criteria and search strategies were defined a priori. Results: We were able: to identify the main resources that can support the development of decision support systems for AD, to list speech features that are correlated with the linguistic and acoustic footprint of the disease, to recognize the data models that can provide robust results and to observe the performance indicators that were reported. Discussion: A computational system with the adequate elements combination, based on the identified best-practices, can point to a whole new diagnostic approach, leading to better insights about AD symptoms and its disease patterns, creating conditions to promote a longer life span as well as an improvement in patient quality of life. The clinically relevant results that were identified can be used to establish a reference system and help to define research guidelines for future developments.
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Keyword:
Alzheimer’s disease (AD); classification; features; machine learning (ML); mild cognitive impairment (MCI); speech
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URL: https://doi.org/10.3390/bioengineering9010027
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Relationships Between Anxiety Symptoms, Hopelessness and Suicidal Ideation Among Parental Caregivers of Mandarin-Speaking Children With Speech Impairment: The Mediating Effect of Depressive Symptoms
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In: ISSN: 1664-0640 ; Frontiers in Psychiatry ; https://hal.archives-ouvertes.fr/hal-03323043 ; Frontiers in Psychiatry, Frontiers, 2021, 12, pp.648885. ⟨10.3389/fpsyt.2021.648885⟩ (2021)
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Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke
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In: ISSN: 1664-2295 ; Frontiers in Neurology ; https://www.hal.inserm.fr/inserm-03280499 ; Frontiers in Neurology, Frontiers, 2021, 12, pp.634065. ⟨10.3389/fneur.2021.634065⟩ (2021)
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Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
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In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
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In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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Optimizing linguistic materials for feature-based intelligibility assessment in speech impairments
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In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03325628 ; Behavior Research Methods, Psychonomic Society, Inc, 2021, ⟨10.3758/s13428-021-01610-9⟩ (2021)
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ИЗУЧЕНИЕ НАРУШЕНИЯ ГОЛОСА И СПОСОБОВ ЕГО ВОССТАНОВЛЕНИЯ У ПРЕПОДАВАТЕЛЕЙ ВУЗА ... : STUDY OF VOICE IMPAIRMENT AMONG UNIVERSITY TEACHERS AND WAYS TO RESTORE IT ...
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A RANDOMIZED CONTROLLED TRIAL ON THE EFFICACY OF VACHADI CHOORNA IN SPEECH IMPAIRMENT IN CHILDREN UP TO 12 YEARS ...
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A RANDOMIZED CONTROLLED TRIAL ON THE EFFICACY OF VACHADI CHOORNA IN SPEECH IMPAIRMENT IN CHILDREN UP TO 12 YEARS ...
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Data from: "The roles of cognitive abilities and hearing acuity in older adults' recognition of words taken from fast and spectrally reduced speech" ...
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In Time with the Beat: Entrainment in Patients with Phonological Impairment, Apraxia of Speech, and Parkinson’s Disease
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In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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Hyperkinetic stereotyped movements in a boy with biallelic CNTNAP2 variants
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Модификация городских названий в речевой деятельности ребенка ; City Place Names and their Modifi cation in Child Speech
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Attitudes toward Language Variation: Evidence from a Qualitative Study of Sociolinguistic Interviews
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Exploring Blind and Sighted Users’ Interactions With Error-Prone Speech and Image Recognition
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A description of verbal and gestural communication during postictal aphasia
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In: ISSN: 1525-5050 ; EISSN: 1525-5069 ; Epilepsy & Behavior ; https://hal.archives-ouvertes.fr/hal-02417138 ; Epilepsy & Behavior, [San Diego CA]: Elsevier B.V., 2020, 102, pp.106646. ⟨10.1016/j.yebeh.2019.106646⟩ (2020)
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