… In this study we describe an automatic intelligibility assessment system which performs
binary intelligibility classification by capturing atypical variation in pathological speech. …

… is a measure of the comprehensibility of the speech under certain conditions, such as the …
This paper deals with the automatic estimation of the speech intelligibility level when speech …

… Our ultimate goal is to achieve human-level UAR with automatic classification. We observe
that the label “3” consistently has lower human agreement across all scoring categories as it …

… the automatic evaluation of speech intelligibility is … intelligibility by speech recognition
technique. The study revealed a significant correlation between the results of the automatic speech …

… Here, we present a new automatic objective measurement of speech quality: the recognition
… , by an automatic speech recognizer. First results for severely disturbed speech are shown. …

… 2.2 Classification System As it was commented before, the objective of this work is to
classify the input audio signal as speech in quiet, speech in noise, stationary noise or nonstationary …

… Overall, we find out that the automatic speech intelligibility … where not intelligible is more
frequently misclassified as intelligible 6 … classification methods for automatic speech intelligibility …

… and multi-dimensional issue of speech intelligibility. Speech intelligibility in turn is a key
concept in the current study because it is evaluated by speech-language pathologists in medical …

… an automatic method of measuring the intelligibility of head and neck cancer patients’ speech…
In the present paper, we describe an automatic tool built to evaluate speakers’ intelligibility, …

… can be of immense value and serve to assist speech … speech. In this article we propose a
machine learning-based method to automatically classify dysarthric speech into intelligible (I) …