Phoneme {mlmts} | R Documentation |
Phoneme
Description
Multivariate time series (MTS) involving segmented audios of male and female speakers collected from Google Translate.
Usage
data(Phoneme)
Format
A list
with two elements, which are:
data
A list with 6668 MTS.
classes
A numeric vector indicating the corresponding classes associated with the elements in
data
.
Details
Each element in data
is a matrix formed by 217 rows (time points) indicating readings in a spectrogram and 11 columns
(variables) indicating frequency band from the spectrogram. The first 3315 elements correspond to the training set, whereas the last 3353 elements
correspond to the test set. The numeric vector classes
is formed by integers from 1 to 39, indicating that there are 39
different classes in the database. Each class is associated with a different phoneme.
For more information, see Bagnall et al. (2018).
Run "install.packages("ueadata2", repos="https://anloor7.github.io/drat")"
to access this dataset and use the syntax "ueadata2::Phoneme".
References
Bagnall A, Dau HA, Lines J, Flynn M, Large J, Bostrom A, Southam P, Keogh E (2018). “The UEA multivariate time series classification archive, 2018.” arXiv preprint arXiv:1811.00075.
Ruiz AP, Flynn M, Large J, Middlehurst M, Bagnall A (2021). “The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.” Data Mining and Knowledge Discovery, 35(2), 401–449.
Bagnall A, Lines J, Vickers W, Keogh E (2022). “The UEA & UCR Time Series Classification Repository.” www.timeseriesclassification.com.