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How much does prosody help word segmentation? A simulation study on infant-directed speech
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03498888 ; Cognition, Elsevier, 2022, 219, pp.104961. ⟨10.1016/j.cognition.2021.104961⟩ (2022)
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Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review
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In: Front Artif Intell (2022)
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Statistical ZAPs from Group-Based Assumptions
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In: TCC 2021 - Theory of Cryptography Conference ; https://hal.archives-ouvertes.fr/hal-03374562 ; TCC 2021 - Theory of Cryptography Conference, Nov 2021, Raleigh, United States (2021)
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The World of Equity: Phenomenology of Welfare Rights and Foundations of Cosmopolitanism in Hannah Arendt and Alexandre Kojève
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1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
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Does infant-directed speech help phonetic learning? A machine learning investigation
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03080098 ; Cognitive Science, Wiley, 2021, 45 (5), ⟨10.1111/cogs.12946⟩ (2021)
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Experimental IR Meets Multilinguality, Multimodality, and Interaction
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In: https://hal.archives-ouvertes.fr/hal-03626028 ; Springer International Publishing, 12880, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1⟩ (2021)
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Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.inria.fr/hal-03415990 ; K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Birger Larsen; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.371-393, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_24⟩ (2021)
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Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ...
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Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ...
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Automated Paraphrase Quality Assessment Using Language Models and Transfer Learning
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In: Computers; Volume 10; Issue 12; Pages: 166 (2021)
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The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic
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In: Sustainability; Volume 13; Issue 23; Pages: 13501 (2021)
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A Computational Exploration of Pejorative Language in Social Media ...
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Zrnosko. Cultural Landscapes and Social Economy of a Village in Mala Prespa
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In: Anthropology of East Europe Review; Vol. 37 No. 1 (2021): Place-making and Politics of Borderscapes: Contributions to the Anthropology of borders in Southeastern Europe ; 2153-2931 ; 1054-4720 (2021)
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PLEIO: a method to map and interpret pleiotropic loci with GWAS summary statistics
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In: Am J Hum Genet (2021)
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Does Infant-Directed Speech Help Phonetic Learning? A Machine Learning Investigation
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Temporal Dynamics of Brain White Matter Plasticity in Sighted Subjects during Tactile Braille Learning: A Longitudinal Diffusion Tensor Imaging Study
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In: J Neurosci (2021)
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Hearing loss prevalence and years lived with disability, 1990–2019 : findings from the Global Burden of Disease Study 2019
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Haile, Lydia M.; Steinmetz, Jaimie; Abdoli, Amir; Abdollahi, Mohammad; Ahmed, Haroon; Rashid, Tarik A.; Al Hamad, Hanadi; Alahdab, Fares; Alanezi, Fahad M.; Alanzi, Turki M.; Ali, Liaqat; Amu, Hubert; Arabloo, Jalal; Arab-Zozani, Morteza; Arulappan, Judie; Banik, Palash C.; Barnighausen, Till W.; Bibi, Sadia; Chaudhary, Sonali; Chu, Dinh-Toi; Couto, Rosa; Dai, Xiaochen; Dandona, Rakhi; Dhimal, Mandira L.; Dhimal, Meghnath; Doyle, Kerrie E. (Aunty) (R19631); Ekholuenetale, Michael; Filip, Irina; Franklin, Richard C.; Gaidhane, Shilpa; Gilani, Syed A.; Golechha, Mahaveer; Goulart, Barbara N.; Gupta, Veer; Gupta, Vivek; Hoffman, Howard J.; Hosseinzadeh, Mehdi; Househ, Mowafa; Ibitoye, Segun E.; Islam, Sheikh M.; Jayapal, Sathish K.; Jonas, Jost B.; Kameran Al-Salihi, Nawzad; Kayode, Gbenga A.; Khalilov, Rovshan I.; Khatib, Mahalaqua N.; Kosen, Soewarta; Kumar, G. Anil; Lan Nguyen, Huong; Lasrado, Savita; Lim, Stephen S.; Liu, Xuefeng; Lobo, Stany; Makki, Alaa; Mendoza, Walter; Mihretie, Kebadnew M.; Miller, Ted R.; Mohammadi, Mokhtar; Mohammadian-Hafshejani, Abdollah; Mokdad, Ali H.; Naghibi Irvani, Seyed S.; Noubiap, Jean J.; Oancea, Bogdan; Olagunju, Andrew T.; Olusanya, Bolajoko O.; Olusanya, Jacob O.; Orru, Hans; Owolabi, Mayowa; Padubidri, Jagadish R.; Pakshir, Keyvan; Pashazadeh Kan, Fatemeh; Pasovic, Maja; Pawar, Shrikant; Pham, Hai Q.; Radfar, Amir; Rahim, Fakher; Rahimi-Movaghar, Vafa; Rahman, Mohammad H.; Rahmani, Amir M.; Rao, Chythra R.; Rao, Sowmya J.; Rashedi, Vahid; Rawaf, David L.; Rawaf, Salman; Renzaho, Andre (R17978). - : U.K., Lancet Publishing Group, 2021
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Abstract:
Background: Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition’s associated disability. Methods: We did systematic reviews of population-representative surveys on hearing loss prevalence from 1990 to 2019. We fitted nested meta-regression models for severity-specific prevalence, accounting for hearing aid coverage, cause, and the presence of tinnitus. We also forecasted the prevalence of hearing loss until 2050. Findings: An estimated 1·57 billion (95% uncertainty interval 1·51–1·64) people globally had hearing loss in 2019, accounting for one in five people (20·3% [19·5–21·1]). Of these, 403·3 million (357·3–449·5) people had hearing loss that was moderate or higher in severity after adjusting for hearing aid use, and 430·4 million (381·7–479·6) without adjustment. The largest number of people with moderate-to-complete hearing loss resided in the Western Pacific region (127·1 million people [112·3–142·6]). Of all people with a hearing impairment, 62·1% (60·2–63·9) were older than 50 years. The Healthcare Access and Quality (HAQ) Index explained 65·8% of the variation in national age-standardised rates of years lived with disability, because countries with a low HAQ Index had higher rates of years lived with disability. By 2050, a projected 2·45 billion (2·35–2·56) people will have hearing loss, a 56·1% (47·3–65·2) increase from 2019, despite stable age-standardised prevalence. Interpretation: As populations age, the number of people with hearing loss will increase. Interventions such as childhood screening, hearing aids, effective management of otitis media and meningitis, and cochlear implants have the potential to ameliorate this burden. Because the burden of moderate-to-complete hearing loss is concentrated in countries with low health-care quality and access, stronger health-care provision mechanisms are needed to reduce the burden of unaddressed hearing loss in these settings.
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Keyword:
deafness; hearing levels; speech perception; XXXXXX - Unknown
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URL: https://hdl.handle.net/1959.7/uws:59179
https://doi.org/10.1016/S0140-6736(21)00516-X
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