Measurement of Child Speech Complexity Using Acoustic Landmark Detection

Keiko Ishikawa, Marepalli B. Rao, Suzanne Boyce
Dysphonia negatively affects speech intelligibility especially in the presence of background noise; however, no clinical tool exists to measure this deficit. Landmark (LM) analysis may serve as the basis of such tool.

The analysis identifies characteristic patterns of abrupt changes in the speech signal over time, and assigns them particular “landmarks.” Consequently, it describes speech as a sequence of LMs.

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