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

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

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

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

PDF) Automatic phonetic classification of vocalic allophones in Tol

Example of the Bézier function fitting stylization from

The number of calls considering each class.

PDF) Automatic phonetic classification of vocalic allophones in Tol

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

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

Example of the Bézier function fitting stylization from

The number of calls considering each class.

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

Vocalization exemplars. Amplitude and time-frequency spectrograms are

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