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

Various types of methods and approaches are available to predict the intelligibility of speech
signals, but many of these still suffer from two major problems: first, their required prior …

The automatic prediction of speech intelligibility is a recurrent problem in the context of
pathological speech. Despite recent developments, these systems are normally applied to …

Being able to estimate speech intelligibility without the need for listening tests would confer
great benefits for a wide range of speech processing applications. Many attempts have …

The automatic prediction of speech intelligibility can be seen as a growing and relevant
alternative to the perceptual evaluations used clinically, which are known to be biased …

The application of speech enhancement algorithms for hearing aids may not always be
beneficial to increasing speech intelligibility. Therefore, a prior environment classification …

Perceptual measures, such as intelligibility and speech disorder severity, are widely used in
the clinical assessment of speech disorders in patients treated for oral or oropharyngeal …

Time consuming Speech Intelligibility (SI) listening tests with human subjects can be
replaced by algorithmic SI predictors. In recent years, data-driven SI predictors have been …

In this article, a lightweight and interpretable speech intelligibility prediction network is
proposed. It is based on the ESTOI metric with several extensions: learned modulation …

Multiple objective metrics are in use by the researchers to evaluate the performance of
separation systems. In this paper, we investigate the correlation of different state-of-the-art …