Optimal number of clusters for the k-means algorithm for the /u/ tokens

Description

PDF) Automatic phonetic classification of vocalic allophones in Tol

PDF) Automatic phonetic classification of vocalic allophones in Tol

Four-point model sub-models: rise-fall-rise (left) and fall-rise-fall

Optimal number of clusters for the k-means algorithm for the /u/ tokens

Examples of how the significance of the rises and falls determines the

Examples of how the significance of the rises and falls determines the

PDF) Automatic phonetic classification of vocalic allophones in Tol

Vocalization exemplars. Amplitude and time-frequency spectrograms are

Example of the Bézier function fitting stylization from

Examples of how the significance of the rises and falls determines the

The number of calls considering each class.

Mean F1 and F2 values for /e/ vowel tokens by following environment.

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