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

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

The number of calls considering each class.

Vocalization exemplars. Amplitude and time-frequency spectrograms are

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

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

PDF) Automatic phonetic classification of vocalic allophones in Tol

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

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