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Developmental Analysis of Speech using Neural Networks

Sumanlata Gautam, Prerna Singal, Garima Sharma

Abstract


Analysis of developmental patterns in speech of children plays a vital role in speech acquisition and developmental research. It is important to study the development of various speech features with increase in age. Many recent studies have found that the children’s speech exhibits different patterns in the acoustic speech features as compare to adults’ speech. The present study extracted various acoustic speech features such as pitch, intensity and formants from the speech sample of normally developing children and adults. This research differentiates or classifies speech of adult and children by training different classification models using these features set.

Keywords


Acoustic Speech Features Feature Extraction; Pitch, Intensity and Formants.

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References


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