classiFunc (version 0.1.1)

Phoneme: Phonetic Time Series.

Description

A data set containing the audio files of English words.

Usage

Phoneme

Arguments

Format

An object of class data.frame with 100 rows and 65 columns.

Format A data frame with 100 rows (=observations) and 65 variables

col 1:64

one functional observation.

target

encoding the word of the functional observation

Details

This data set is a subsample of the data used in Hamooni and Mueen (2014). Each series is extracted from the segmented audio collected from Google Translate, oxforddictionaries.com and the Merrriam-Webster online dictionary. Each of these sources have different features. Audio files collected from Google translate, Oxford, and Merrriam-Webster dictionaries are recorded at 22050, 44100 and 11025 samples per second respectively. All of them have male and female speakers in different ratios. The Oxford dictionary includes British and American accent pronunciation for each word. After data collection, they segment waveforms of the words to generate phonemes using the Forced Aligner tool from the Penn Phonetics Laboratory.

References

Hamooni, Hossein, and Mueen, Abdullah. "Dual-domain hierarchical classification of phonetic time series." Data Mining (ICDM), 2014 IEEE International Conference on. IEEE, 2014.