Onto-SPELTRA: A Robotic Assistant Based on Ontologies and Agglomerative Clustering to Support Speech-Language Therapy for Children with Disabilities

Robles-Bykbaev, Vladimir; Guamán-Heredia, M.; Robles-Bykbaev, Y.; Lojano-Redrován, J.; Pesántez-Avilés, Fernando; Quisi-Peralta, Diego; López‐Nores, Martín; Pazos‐Arias, José J.

doi:10.1007/978-3-319-66562-7_25

Cited by 10 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, 12 studies out of 24 studies did not address any specific SSD (see figure 9). These studies proposed automated tools for a generalized SSD population and experimented without specifying any particular SSD [8,[12][13][14][15][16][17][18][19][20][21][22].…”

Section: Speech Sound Disorders (Rq1)mentioning

confidence: 99%

“…Ballard et al performed a feasibility study of their tablet-based, fully automated therapy tool for children with apraxia without any role of SLP and other stakeholders [30]. Moreover, V. Robles-Bykbaev et al proposed a framework imitating the main functionality of SLP along with a robotic assistant motivating children in therapy activity and automatically giving real-time feedback [8,[17][18][19]. In another similar study, Ramamurthy et al proposed a companion robot, "Buddy," which automatically evaluates speech exercises of children with CL/P disorders with the feature of monitoring by SLPs [31].…”

Section: Level Of Autonomy (Rq2)mentioning

confidence: 99%

“…Furthermore, Ng et al and Sztaho et al proposed a computer-based prosody teaching system for children with hearing impairment and a computerbased visual feedback system for the hearing impaired, respectively [14,23]. Bykbaev et al proposed a novel robotic assistant along with a fully automatic framework imitating the work of SLP [8]. In another similar study, Ramamurthy et al proposed a therapy robot, "Buddy," allowing children to practice assigned exercises at home [31].…”

Section: Modes Of Intervention (Rq3)mentioning

confidence: 99%

“…However, the accessibility of SLPs is crucial for such intervention. A report suggests that up to 70 % of SLPs have waiting lists, which indicates a shortage in the workforce [7,8]. Furthermore, according to United Nations Children's Fund (UNICEF), there are not adequate speech-language therapy services for children with communication disorders and disabilities [9].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

Deka,

Shrivastava,

Nautiyal

et al. 2022

Preprint

View full text Add to dashboard Cite

This paper presents a systematic literature review of published studies on AI-based automated speech therapy tools for persons with speech sound disorders (SSD). The COVID-19 pandemic has initiated the requirement for automated speech therapy tools for persons with SSD making speech therapy accessible and affordable. However, there are no guidelines for designing such automated tools and their required degree of automation compared to human experts. In this systematic review, we followed the PRISMA framework to address four research questions: 1) what types of SSD do AI-based automated speech therapy tools address, 2) what is the level of autonomy achieved by such tools, 3) what are the different modes of intervention, and 4) how effective are such tools in comparison with human experts. An extensive search was conducted on digital libraries to find research papers relevant to our study from 2007 to 2022. The results show that AI-based automated speech therapy tools for persons with SSD are increasingly gaining attention among researchers. Articulation disorders were the most frequently addressed SSD based on the reviewed papers. Further, our analysis shows that most researchers proposed fully automated tools without considering the role of other stakeholders. Our

show abstract

Section: Speech Sound Disorders (Rq1)mentioning

confidence: 99%

Section: Level Of Autonomy (Rq2)mentioning

confidence: 99%

Section: Modes Of Intervention (Rq3)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

Deka,

Shrivastava,

Nautiyal

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…However, the accessibility of SLPs is crucial for such intervention. A report suggests that up to 70 % of SLPs have waiting lists, which indicates a shortage in the workforce (Duval et al, 2018;V. Robles-Bykbaev et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

Deka,

Shrivastava,

Abraham

et al. 2024

Preprint

View full text Add to dashboard Cite

This paper presents a systematic literature review of published studies on AI-based automated speech therapy tools for persons with speech sound disorders (SSD). The COVID-19 pandemic has initiated the requirement for automated speech therapy tools for persons with SSD making speech therapy accessible and affordable. However, there are no guidelines for designing such automated tools and their required degree of automation compared to the conventional speech therapy given by Speech Language Pathologists (SLPs). In this systematic review, we followed the PRISMA framework to address four research questions: 1) what types of SSD do AI-based automated speech therapy tools address, 2) what is the level of autonomy achieved by such tools, 3) what are the different modes of intervention, and 4) how effective are such tools in comparison with the conventional mode of speech therapy. An extensive search was conducted on digital libraries to find research papers relevant to our study from 2007 to 2022. The results show that AI-based automated speech therapy tools for persons with SSD are increasingly gaining attention among researchers. Articulation disorders were the most frequently addressed SSD based on the reviewed papers. Further, our analysis shows that most researchers proposed fully automated tools without considering the role of other stakeholders. Our review indicates that mobile-based and gamified applications were the most frequent mode of intervention. The results further show that only a few studies compared the effectiveness of such tools compared to the conventional mode of speech therapy. Our paper presents the state-of-the-art in the field, contributes significant insights based on the research questions, and provides suggestions for future research directions.

show abstract

Human-Centered AI Goals for Speech Therapy Tools

Deka,

Shrivastava,

Nautiyal

et al. 2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

Onto-SPELTRA: A Robotic Assistant Based on Ontologies and Agglomerative Clustering to Support Speech-Language Therapy for Children with Disabilities

Cited by 10 publications

References 9 publications

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review

Human-Centered AI Goals for Speech Therapy Tools

Contact Info

Product

Resources

About