Automatic evaluation of resonance and articulation disorders in cleft palate speech

He, Ling; Tan, Jie; Hao, Huaqing; Tang, Ming; Yin, Han; Lech, Margaret

doi:10.1109/chinasip.2015.7230424

Cited by 1 publication

(3 citation statements)

References 12 publications

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“…Studies also focused on phoneme detection ( 42 ) and their analysis ( 47 ) to assess the quality of speech. Evaluation of misarticulated stops ( 39 ), intelligibility ( 48 ) and resonance ( 45 ) was done using different models. Two studies detected consonant misarticulation ( 45 , 46 ) in participants with cleft lip and palate.…”

Section: Resultsmentioning

confidence: 99%

“…Evaluation of misarticulated stops ( 39 ), intelligibility ( 48 ) and resonance ( 45 ) was done using different models. Two studies detected consonant misarticulation ( 45 , 46 ) in participants with cleft lip and palate. It was found that AI could detect a misarticulation but the accuracy varied for different consonants.…”

Section: Resultsmentioning

confidence: 99%

“…These provide encouraging experimental results, but they do not reflect the practical performance of these systems. They characterize speech based on hypernasality ( 40 , 41 , 43 , 44 , 46 , 48 ), identifying phonemes ( 42 , 47 ) and misarticulations ( 39 , 45 ). These studies use features of speech data at a single point in time.…”

Section: Discussionmentioning

confidence: 99%

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Current Applications of Artificial Intelligence in Cleft Care: A Scoping Review

et al. 2021

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Objective: This scoping review aims to identify the various areas and current status of the application of artificial intelligence (AI) for aiding individuals with cleft lip and/or palate.Introduction: Cleft lip and/or palate contributes significantly toward the global burden on the healthcare system. Artificial intelligence is a technology that can help individuals with cleft lip and/or palate, especially those in areas with limited access to receive adequate care.Inclusion Criteria: Studies that used artificial intelligence to aid the diagnosis, treatment, or its planning in individuals with cleft lip and/or palate were included.Methodology: A search of the Pubmed, Embase, and IEEE Xplore databases was conducted using search terms artificial intelligence and cleft lip and/or palate. Gray literature was searched using Google Scholar. The study was conducted according to the PRISMA- ScR guidelines.Results: The initial search identified 458 results, which were screened based on title and abstracts. After the screening, removal of duplicates, and a full-text reading of selected articles, 26 publications were included. They explored the use of AI in cleft lip and/or palate to aid in decisions regarding diagnosis, treatment, especially speech therapy, and prediction.Conclusion: There is active interest and immense potential for the use of artificial intelligence in cleft lip and/or palate. Most studies currently focus on speech in cleft palate. Multi-center studies that include different populations, with collaboration amongst academicians and researchers, can further develop the technology.

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