Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

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 …

Speech intelligibility prediction methods are necessary for hearing aid development.
However, many such prediction methods are categorized as intrusive metrics because they …

To assist the clinical diagnosis and treatment of speech dysarthria, automatic dysarthric
speech detection techniques providing reliable and cost-effective assessment are …

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 …

In the literature, the task of dysarthric speech intelligibility assessment has been approached
through development of different low-level feature representations, subspace modeling …

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 …

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 …

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 …

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 …