2018
DOI: 10.1007/978-981-13-1906-8_6
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Lisp Detection and Correction Based on Feature Extraction and Random Forest Classifier

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Cited by 2 publications
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“…A form of such disability is also the Functional Speech Disorder (FSD), which is the inability to correctly learn to pronounce specific sounds, such as “s, z, r, l, and th”. Study by Itagi et al ( 2019 ) shows how Random Forest Classifier performs better than other algorithms, such as, Fuzzy Decision Tree and Logistic Regression, when detecting and correcting in real-time FSD cases. These services benefit from the Natural Language Processing (NLP) applied in the STT, which utilizes Google Speech API to convert spoken words into text (Seebun and Nagowah, 2020 ).…”
Section: Ai Technologies That Support Communication and Learning Assi...mentioning
confidence: 99%
“…A form of such disability is also the Functional Speech Disorder (FSD), which is the inability to correctly learn to pronounce specific sounds, such as “s, z, r, l, and th”. Study by Itagi et al ( 2019 ) shows how Random Forest Classifier performs better than other algorithms, such as, Fuzzy Decision Tree and Logistic Regression, when detecting and correcting in real-time FSD cases. These services benefit from the Natural Language Processing (NLP) applied in the STT, which utilizes Google Speech API to convert spoken words into text (Seebun and Nagowah, 2020 ).…”
Section: Ai Technologies That Support Communication and Learning Assi...mentioning
confidence: 99%