  This paper analyzes dysarthric speech datasets from three languages with
different prosodic systems: English, Korean, and Tamil. We inspect 39 acoustic
measurements which reflect three speech dimensions including voice quality,
pronunciation, and prosody. As multilingual analysis, examination on the mean
values of acoustic measurements by intelligibility levels is conducted.
Further, automatic intelligibility classification is performed to scrutinize
the optimal feature set by languages. Analyses suggest pronunciation features,
such as Percentage of Correct Consonants, Percentage of Correct Vowels, and
Percentage of Correct Phonemes to be language-independent measurements. Voice
quality and prosody features, however, generally present different aspects by
languages. Experimental results additionally show that different speech
dimension play a greater role for different languages: prosody for English,
pronunciation for Korean, both prosody and pronunciation for Tamil. This paper
contributes to speech pathology in that it differentiates between
language-independent and language-dependent measurements in intelligibility
classification for English, Korean, and Tamil dysarthric speech.
