Abstract

Abstract: Children speech impairments can have a big impact on how well a kid communicates and develops as a person. Early diagnosis of speech impairments is essential for prompt intervention and efficient therapy. Speech analytics approaches have become promising tools in recent years for the identification and evaluation of various speech problems in children. This literature review seeks to present an overview of the state-of-the-art in speech analytics-based child speech disorder detection. It explores the approaches and technology used in speech analytics for disorder detection and covers a wide spectrum of speech disorders, such as articulation abnormalities, phonological disorders, and language disorders. The survey emphasises the potential impact of speech analytics in enhancing the diagnosis while highlighting the obstacles, trends, and future directions in this quickly expanding sector

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