This paper investigates the potential of Automatic Speech Recognition application in
measuring the speech intelligibility of speech impaired speakers. ASR has been suggested …

Intelligibility is widely used to measure the severity of articulatory problems in pathological
speech. Recently, a number of automatic intelligibility assessment tools have been …

This paper introduces the use of automatic speech recognition (ASR) in speech intelligibility
testing for oral surgical patients caused by cancer, tumor, or fracture. The proposed …

Previously, we compared several objective measures to estimate the subjective speech
intelligibility scores of the Japanese Diagnostic Rhyme Test (DRT). PESQ-derived MOS …

It is commonly acknowledged that word or phoneme intelligibility is an important criterion in
the assessment of the communication efficiency of a pathological speaker. People have …

This paper investigates the accuracy of automatic speech recognition (ASR) and 6 other well-
reported objective quality measures for the task of estimating speech intelligibility. It is …

Selection of relevant features is important for discriminating speech in detection based ASR
system, thus contributing to the improved performance of the detector. In the context of …

Automatic and accurate prediction of human speech perception performance is of great
benefit for developing speech processing algorithms. Automatic speech recognizers (ASR) …

In this paper, a method to estimate the subjective speech intelligibility scores of the
Japanese DRT speech intelligibility test using some objective measures is proposed and …

A novel data-driven non-intrusive method to assess speech intelligibility is proposed. The
approach uses a new segment-based feature called Sum-Sorted Spectrogram (SSS) and a …