Authors :
Atmadeepa Srimany; Debraj Paul; Sagnik Banerjee
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/5h94vxsj
Scribd :
https://tinyurl.com/mrabnjsb
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24NOV1322
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Artificial Intelligence (AI) has significant
applications over speech therapy which has address the
severe challenges faced by the children who were
diagnosed with autism spectrum disorder (ASD). This
review explores the potential of those children to
improve their social interactions and communication
skills. Diverse literature review of this study has
explored the key advancements like automated speech
recognition using Machine Learning (ML) and Natural
Language Processing (NLP) and offer tailored
integration of AI-enabled collaboration.
Keywords :
AI Tools for Speech Therapy, ASD, ML, NLP, Speech Therapy, Speech Recognition Technology.
References :
- Barua, P.D., Vicnesh, J., Gururajan, R., Oh, S.L., Palmer, E., Azizan, M.M., Kadri, N.A. and Acharya, U.R. (2022). Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review. International Journal of Environmental Research and Public Health, 19(3), p.1192. doi: https://doi.org/10.3390/ijerph19031192.
- Bootcamp.cvn (2021). How Artificial Intelligence (AI) Can Help Children with Speech, Hearing, and Language Disorders: 40 Free Resources. Available at: https://bootcamp.cvn.columbia.edu/blog/free-resources-for-children-with-communication-disorders/ [Accessed 19 Nov. 2024].
- Deka, C., Shrivastava, A., Abraham, A.K., Saurabh Nautiyal and Chauhan, P. (2024). AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review. Research Square (Research Square). doi: https://doi.org/10.21203/rs.3.rs-1517404/v2.
- Gales, M. and Young, S., 2007. The Application of Hidden Markov Models in Speech Recognition. Foundations and Trends® in Signal Processing, 1(3), pp.195–304. doi: https://doi.org/10.1561/2000000004.
- Leini, Z. and Xiaolei, S., 2021. Study on Speech Recognition Method of Artificial Intelligence Deep Learning. Journal of Physics: Conference Series, 1754(1), p.012183. doi: https://doi.org/10.1088/1742-6596/1754/1/012183.
- Li, G., Mohammad Amin Zarei, Goudarz Alibakhshi and Akram Labbafi (2024). Teachers and educators’ experiences and perceptions of artificial-powered interventions for autism groups. BMC psychology, 12(1). doi: https://doi.org/10.1186/s40359-024-01664-2.
- Marzo, S.D., 2024. Rotterdam-based Speaksee raises €1 million for speech recognition app for hearing-impaired people | EU-Startups. Available at: https://www.eu-startups.com/2024/07/rotterdam-based-speaksee-raises-e1-million-for-speech-recognition-app-for-hearing-impaired-people/ [Accessed on: 19 November 2024].
- McKechnie, J., Ahmed, B., Gutierrez-Osuna, R., Monroe, P., McCabe, P. and Ballard, K.J. (2018). Automated speech analysis tools for children’s speech production: A systematic literature review. International Journal of Speech-Language Pathology, 20(6), pp.583–598. doi: https://doi.org/10.1080/17549507.2018.1477991.
- NHS (2020). Speech Recognition Application for the Voice Impaired (SRAVI) V1.0. Available at: https://www.hra.nhs.uk/planning-and-improving-research/application-summaries/research-summaries/speech-recognition-application-for-the-voice-impaired-sravi-v10/ [Accessed on: 19 November 2024].
- Smadi, T.A., Al Issa, H.A., Trad, E. and Smadi, K.A.A., 2015. Artificial Intelligence for Speech Recognition Based on Neural Networks. Journal of Signal and Information Processing, 06(02), pp.66–72. doi: https://doi.org/10.4236/jsip.2015.62006.
- Sprogis, J., 2019. Artificial Intelligence and Special Needs. Available at: https://medium.com/@johnksprogis/artificial-intelligence-and-special-needs-aa5382135087 [Accessed on: 19 November 2024].
- Teresa, M., 2024. Artificial intelligence and speech disorders: new frontiers in communication and treatment. Available at: https://tech4future.info/en/speech-disorders-ai-speech-therapy/ [Accessed on: 19 November 2024].
- Zhang, M., Ding, H., Naumceska, M. and Zhang, Y., 2022. Virtual Reality Technology as an Educational and Intervention Tool for Children with Autism Spectrum Disorder: Current Perspectives and Future Directions. Behavioral Sciences, 12(5), p.138. doi: https://doi.org/10.3390/bs12050138
Artificial Intelligence (AI) has significant
applications over speech therapy which has address the
severe challenges faced by the children who were
diagnosed with autism spectrum disorder (ASD). This
review explores the potential of those children to
improve their social interactions and communication
skills. Diverse literature review of this study has
explored the key advancements like automated speech
recognition using Machine Learning (ML) and Natural
Language Processing (NLP) and offer tailored
integration of AI-enabled collaboration.
Keywords :
AI Tools for Speech Therapy, ASD, ML, NLP, Speech Therapy, Speech Recognition Technology.