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

The number of calls considering each class.

PDF) Automatic phonetic classification of vocalic allophones in Tol

Example of the Bézier function fitting stylization from

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

PDF) Automatic phonetic classification of vocalic allophones in Tol

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

PDF) Automatic phonetic classification of vocalic allophones in Tol

Vocalization exemplars. Amplitude and time-frequency spectrograms are

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

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

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

The number of calls considering each class.

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