Comparisons of speech parameterisation techniques for classification of intellectual disability using machine learning

G Aggarwal, L Singh - … on physical and intellectual disabilities in an …, 2022 - igi-global.com
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …
被引用次数：15 相关文章

Comparisons of speech parameterisation techniques for classification of intellectual disability using machine learning.

G Aggarwal, L Singh - … Journal of Cognitive Informatics and Natural …, 2020 - psycnet.apa.org
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …

Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning.

G Aggarwal, L Singh - … Journal of Cognitive Informatics and Natural …, 2020 - go.gale.com
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …

Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning

G Aggarwal, L Singh - International Journal of Cognitive …, 2020 - econpapers.repec.org
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …

Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning.

G Aggarwal, L Singh - International Journal of Cognitive …, 2020 - search.ebscohost.com
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …

Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning

L Singh, G Aggarwal - International Journal of Cognitive Informatics and …, 2020 - dl.acm.org
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …

Comparisons of Speech Parameterisation Techniques for Classification of Intellectual Disability Using Machine Learning

G Aggarwal, L Singh - … Journal of Cognitive Informatics and Natural …, 2020 - ideas.repec.org
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …
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G Aggarwal, L Singh - … Journal of Cognitive Informatics and Natural …, 2020 - igi-global.com
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …