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For: McKechnie J, Shahin M, Ahmed B, McCabe P, Arciuli J, Ballard KJ. An Automated Lexical Stress Classification Tool for Assessing Dysprosody in Childhood Apraxia of Speech. Brain Sci 2021;11:1408. [PMID: 34827407 DOI: 10.3390/brainsci11111408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 11/17/2022]  Open
Number Cited by Other Article(s)
1
Tubi R, Ben-David A, Segal O. Characteristics of Lexical Stress in Hebrew-Speaking Children With Childhood Apraxia of Speech. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024;67:711-728. [PMID: 38376479 DOI: 10.1044/2023_jslhr-23-00205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
2
Zdravkova K, Krasniqi V, Dalipi F, Ferati M. Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective. Front Artif Intell 2022;5:970430. [PMID: 36388402 PMCID: PMC9650429 DOI: 10.3389/frai.2022.970430] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 09/27/2022] [Indexed: 01/13/2024]  Open
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