Automatic Syllabic Cluster Analysis of Children’s Speech Data to Identify Speech-Disorders (2015)

Speights, Marisha, and Boyce, Suzanne and MacAuslan, Joel and Fell, Harriet,

This research investigates syllabic complexity in children with normal and disordered speech production using a computerized method of analysis.

Automatic Syllabic Cluster Analysis based upon landmark theory (Stevens 1992, 2002; Liu 1996; Howitt 2000; Fell & MacAuslan, 2005) is used to automate the analysis of child speech.

The algorithm automatically measures acoustic changes that correspond to syllable patterns and provides a fast method for measuring complexity in syllable production without the need for phonetic transcription.

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