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Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-03627441 ; Frontiers in Neuroscience, Frontiers, 2022, 16 (779062), ⟨10.3389/fnins.2022.779062⟩ ; https://www.frontiersin.org/articles/10.3389/fnins.2022.779062/full (2022)
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RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
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In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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Emotional Speech Recognition Using Deep Neural Networks
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In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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The Impact of Removing Head Movements on Audio-visual Speech Enhancement
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In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.inria.fr/hal-03551610 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, May 2022, Singapore, Singapore. pp.1-5 (2022)
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Efficient localization of the cortical language network and its functional neuroanatomy in dyslexia
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Abstract:
The functional neuroanatomy of language localization in dyslexia has primarily been studied in the context of reading. However, dyslexia is sometimes referred to as a “language-based learning disability,” yet the functional signature of the core language comprehension network in dyslexia is far less understood. This thesis presents a series of studies designed to compare the functionality of the brain regions supporting linguistic processing between typical and impaired readers in order to characterize the cortical language network in dyslexia. First, we investigate the extent to which the efficiency (or quality of data vs. amount of scan time) of a functional language localizer based on passive spoken language comprehension can be maximized in Chapter 2. By demarcating the language network based on smaller amounts of data and testing stability and reliability within this framework, we found that scan time can be substantially reduced without sacrificing functional specialization for language. In Chapter 3, we apply the spoken language localizer to determine differences in functional organization of language in dyslexia and provide evidence that the core spoken language comprehension network is not markedly different between typical readers and those with dyslexia. We compared the individual activations from whole-brain analysis and functional profiles in the canonical language-selective regions and found that the functional response of localized language regions in individuals with dyslexia was as selective as in typically reading adults. Chapter 4 follows up on the functional evidence reported in Chapter 3 to examine the structural connectivity within the same functional language network and additionally found essentially no differences between controls and dyslexia, further supporting the observations made in Chapter 3 that core linguistic processing is intact in dyslexia. All together, these findings converge on the suggestion that individuals with dyslexia do not rely on a separate cognitive architecture for language, potentially revealing important new insight into the dissociation of language specialization abilities and reading difficulty in dyslexia.
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Keyword:
Cognition; DWI; fMRI; Language; Neuroimaging; Speech; Test-retest reliability
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URL: https://hdl.handle.net/2144/43724
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How are visemes and graphemes integrated with speech sounds during spoken word recognition? ERP evidence for supra-additive responses during audiovisual compared to auditory speech processing
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In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.archives-ouvertes.fr/hal-03472191 ; Brain and Language, Elsevier, 2022, 225, ⟨10.1016/j.bandl.2021.105058⟩ (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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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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Hippocampal and auditory contributions to speech segmentation
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In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03604957 ; Cortex, Elsevier, 2022, ⟨10.1016/j.cortex.2022.01.017⟩ (2022)
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Speech Perception and Implementation in a Virtual Medical Assistant
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In: 6. ICAART – 14th International Conference on Agents and Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03621550 ; 6. ICAART – 14th International Conference on Agents and Artificial Intelligence, Feb 2022, Vienna, Austria (2022)
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Évaluation de la perception des sons de parole chez les populations pédiatriques : réflexion sur les épreuves existantes
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In: ISSN: 0298-6477 ; EISSN: 2117-7155 ; Glossa ; https://hal.archives-ouvertes.fr/hal-03646757 ; Glossa, UNADREO - Union NAtionale pour le Développement de la Recherche en Orthophonie, 2022, 132, pp.1-27 ; https://www.glossa.fr/index.php/glossa/article/view/1043 (2022)
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Automatic generation of the complete vocal tract shape from the sequence of phonemes to be articulated
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.univ-lorraine.fr/hal-03650212 ; Speech Communication, Elsevier : North-Holland, 2022, ⟨10.1016/j.specom.2022.04.004⟩ (2022)
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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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Fine-tuning pre-trained models for Automatic Speech Recognition: experiments on a fieldwork corpus of Japhug (Trans-Himalayan family)
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In: https://halshs.archives-ouvertes.fr/halshs-03647315 ; 2022 (2022)
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Intelligibility and comprehensibility: A Delphi consensus study
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In: ISSN: 1368-2822 ; EISSN: 1460-6984 ; International Journal of Language and Communication Disorders ; https://hal.archives-ouvertes.fr/hal-03543198 ; International Journal of Language and Communication Disorders, Wiley, 2022, 57 (1), pp.21 - 41. ⟨10.1111/1460-6984.12672⟩ ; https://onlinelibrary.wiley.com/doi/10.1111/1460-6984.12672 (2022)
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Vocal size exaggeration may have contributed to the origins of vocalic complexity
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In: ISSN: 0962-8436 ; EISSN: 1471-2970 ; Philosophical Transactions of the Royal Society B: Biological Sciences ; https://hal.archives-ouvertes.fr/hal-03501105 ; Philosophical Transactions of the Royal Society B: Biological Sciences, Royal Society, The, 2022, 377 (1841), ⟨10.1098/rstb.2020.0401⟩ (2022)
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Investigating the locus of transposed-phoneme effects using cross-modal priming
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In: ISSN: 0001-6918 ; EISSN: 1873-6297 ; Acta Psychologica ; https://hal.archives-ouvertes.fr/hal-03619856 ; Acta Psychologica, Elsevier, 2022, 226, pp.103578. ⟨10.1016/j.actpsy.2022.103578⟩ (2022)
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