Skip to contents

Acoustic measurements of eleven British English vowels spoken by fifteen speakers.

Usage

vowel

Format

A data frame with 990 observations and 14 variables:

Split

Training or test set (Train, Test).

Speaker

Speaker identifier (15 levels).

Sex

Speaker sex (Male, Female).

F0

Acoustic feature 0.

F1

Acoustic feature 1.

F2

Acoustic feature 2.

F3

Acoustic feature 3.

F4

Acoustic feature 4.

F5

Acoustic feature 5.

F6

Acoustic feature 6.

F7

Acoustic feature 7.

F8

Acoustic feature 8.

F9

Acoustic feature 9.

Class

Vowel category (11 levels).

Source

UCI Machine Learning Repository. https://doi.org/10.24432/C58P4S

Details

The dataset contains 990 observations and 14 variables, including ten numeric acoustic features and four categorical variables.

This dataset was obtained from the UCI file vowel-context.data. Categorical codes were converted to factors; numeric acoustic measurements were preserved.

Original dataset license: CC BY 4.0. https://creativecommons.org/licenses/by/4.0/

References

Deterding, D., Niranjan, M., and Robinson, T. (1988). Connectionist Bench (Vowel Recognition - Deterding Data). UCI Machine Learning Repository.

Turney, P. (1993). Robust Classification With Context-Sensitive Features.