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1
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
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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2
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
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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3
Cochlear Implant Results in Older Adults with Post-Lingual Deafness: The Role of “Top-Down” Neurocognitive Mechanisms
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1343 (2022)
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4
Many Changes in Speech through Aging Are Actually a Consequence of Cognitive Changes
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2137 (2022)
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5
Speech- and Language-Based Classification of Alzheimer’s Disease: A Systematic Review
In: Bioengineering; Volume 9; Issue 1; Pages: 27 (2022)
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6
Relationships Between Anxiety Symptoms, Hopelessness and Suicidal Ideation Among Parental Caregivers of Mandarin-Speaking Children With Speech Impairment: The Mediating Effect of Depressive Symptoms
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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7
Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke
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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8
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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9
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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10
Optimizing linguistic materials for feature-based intelligibility assessment in speech impairments
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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11
ИЗУЧЕНИЕ НАРУШЕНИЯ ГОЛОСА И СПОСОБОВ ЕГО ВОССТАНОВЛЕНИЯ У ПРЕПОДАВАТЕЛЕЙ ВУЗА ... : STUDY OF VOICE IMPAIRMENT AMONG UNIVERSITY TEACHERS AND WAYS TO RESTORE IT ...
Ларина, Е.А.; Гаркуша, Н.В.; Екимова, С.Г.. - : Волгоградский институт бизнеса, 2021
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12
A RANDOMIZED CONTROLLED TRIAL ON THE EFFICACY OF VACHADI CHOORNA IN SPEECH IMPAIRMENT IN CHILDREN UP TO 12 YEARS ...
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13
A RANDOMIZED CONTROLLED TRIAL ON THE EFFICACY OF VACHADI CHOORNA IN SPEECH IMPAIRMENT IN CHILDREN UP TO 12 YEARS ...
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14
Data from: "The roles of cognitive abilities and hearing acuity in older adults' recognition of words taken from fast and spectrally reduced speech" ...
Janse, E.; Andringa, S.. - : Data Archiving and Networked Services (DANS), 2021
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15
In Time with the Beat: Entrainment in Patients with Phonological Impairment, Apraxia of Speech, and Parkinson’s Disease
In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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16
Hyperkinetic stereotyped movements in a boy with biallelic CNTNAP2 variants
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17
Модификация городских названий в речевой деятельности ребенка ; City Place Names and their Modifi cation in Child Speech
Круглякова, Т. А.; Kruglyakova, T. A.. - : Издательство Уральского университета, 2021
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18
Attitudes toward Language Variation: Evidence from a Qualitative Study of Sociolinguistic Interviews
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19
Exploring Blind and Sighted Users’ Interactions With Error-Prone Speech and Image Recognition
Hong, Jonggi. - 2021
Abstract: Speech and image recognition, already employed in many mainstream and assistive applications, hold great promise for increasing independence and improving the quality of life for people with visual impairments. However, their error-prone nature combined with challenges in visually inspecting errors can hold back their use for more independent living. This thesis explores blind users’ challenges and strategies in handling speech and image recognition errors through non-visual interactions looking at both perspectives: that of an end-user interacting with already trained and deployed models such as automatic speech recognizer and image recognizers but also that of an end-user who is empowered to attune the model to their idiosyncratic characteristics such as teachable image recognizers. To better contextualize the findings and account for human factors beyond visual impairments, user studies also involve sighted participants on a parallel thread. More specifically, Part I of this thesis explores blind and sighted participants' experience with speech recognition errors through audio-only interactions. Here, the recognition result from a pre-trained model is not being displayed; instead, it is played back through text-to-speech. Through carefully engineered speech dictation tasks in both crowdsourcing and controlled-lab settings, this part investigates the percentage and type of errors that users miss, their strategies in identifying errors, as well as potential manipulations of the synthesized speech that may help users better identify the errors. Part II investigates blind and sighted participants' experience with image recognition errors. Here, we consider both pre-trained image recognition models and those fine-tuned by the users. Through carefully engineered questions and tasks in both crowdsourcing and semi-controlled remote lab settings, this part investigates the percentage and type of errors that users miss, their strategies in identifying errors, as well as potential interfaces for accessing training examples that may help users better avoid prediction errors when fine-tuning models for personalization.
Keyword: Accessibility; Artificial intelligence; Computer science; Information science; Machine teaching; Object recognition; Speech recognition; Teachable interface; Visual impairment
URL: https://doi.org/10.13016/smsx-yu9x
http://hdl.handle.net/1903/28402
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20
A description of verbal and gestural communication during postictal aphasia
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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