[HTML][HTML] Nonintrusive objective measurement of speech intelligibility: A review of methodology

Y Feng, F Chen - Biomedical Signal Processing and Control, 2022 - Elsevier
Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

An attention Long Short-Term Memory based system for automatic classification of speech intelligibility

M Fernández-Díaz, A Gallardo-Antolín - Engineering Applications of …, 2020 - Elsevier
Speech intelligibility can be degraded due to multiple factors, such as noisy environments,
technical difficulties or biological conditions. This work is focused on the development of an …

[HTML][HTML] Non-intrusive speech intelligibility prediction using an auditory periphery model with hearing loss

CO Mawalim, BA Titalim, S Okada, M Unoki - Applied Acoustics, 2023 - Elsevier
Speech intelligibility prediction methods are necessary for hearing aid development.
However, many such prediction methods are categorized as intrusive metrics because they …

Subspace-based learning for automatic dysarthric speech detection

P Janbakhshi, I Kodrasi… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
To assist the clinical diagnosis and treatment of speech dysarthria, automatic dysarthric
speech detection techniques providing reliable and cost-effective assessment are …

[HTML][HTML] On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification

A Gallardo-Antolín, JM Montero - Neurocomputing, 2021 - Elsevier
Speech intelligibility can be affected by multiple factors, such as noisy environments,
channel distortions or physiological issues. In this work, we deal with the problem of …

Utterance verification-based dysarthric speech intelligibility assessment using phonetic posterior features

J Fritsch, M Magimai-Doss - Ieee signal processing letters, 2021 - ieeexplore.ieee.org
In the literature, the task of dysarthric speech intelligibility assessment has been approached
through development of different low-level feature representations, subspace modeling …

Automatic speaker independent dysarthric speech intelligibility assessment system

A Tripathi, S Bhosale, SK Kopparapu - Computer Speech & Language, 2021 - Elsevier
Dysarthria is a condition which hampers the ability of an individual to control the muscles
that play a major role in speech delivery. The loss of fine control over muscles that assist the …

Clinical measures of communication limitations in dysarthria assessed through crowdsourcing: Specificity, sensitivity, and retest-reliability

K Lehner, W Ziegler… - Clinical Linguistics & …, 2022 - Taylor & Francis
Assessing the impact of dysarthria on a patient's ability to communicate should be an
integral part of patient management. However, due to the high demands on reliable …

A novel approach for intelligibility assessment in dysarthric subjects

A Tripathi, S Bhosale… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Dysarthria is a motor speech impairment caused by muscle weakness. Individuals, with this
condition, are unable to control rapid movement of the velum leading to reduction in …

Automatic pathological speech intelligibility assessment exploiting subspace-based analyses

P Janbakhshi, I Kodrasi… - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
Competitive state-of-the-art automatic pathological speech intelligibility measures typically
rely on regression training on a large number of features, require a large amount of healthy …